{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "dzNng6vCL9eP" }, "source": [ "# CS231n Python/Numpy Review Tutorial With Google Colab" ] }, { "cell_type": "markdown", "metadata": { "id": "0vJLt3JRL9eR" }, "source": [ "This tutorial was originally written by [Justin Johnson](https://web.eecs.umich.edu/~justincj/) for cs231n and edited by Kevin Zakka. It was adapted as a Jupyter notebook for cs228 by [Volodymyr Kuleshov](http://web.stanford.edu/~kuleshov/) and [Isaac Caswell](https://symsys.stanford.edu/viewing/symsysaffiliate/21335).\n", "\n", "This version has been adapted for Colab by Favour Nerrise for the Spring 2026 edition of [cs231n](https://cs231n.github.io/). It runs Python3 by default." ] }, { "cell_type": "markdown", "metadata": { "id": "qVrTo-LhL9eS" }, "source": [ "## Introduction" ] }, { "cell_type": "markdown", "metadata": { "id": "9t1gKp9PL9eV" }, "source": [ "Python is a great general-purpose programming language on its own, but with the help of a few popular libraries (numpy, scipy, matplotlib) it becomes a powerful environment for scientific computing.\n", "\n", "We expect that many of you will have some experience with Python and numpy; for the rest of you, this section will serve as a quick crash course both on the Python programming language and on the use of Python for scientific computing.\n", "\n", "If you have a MATLAB background, you may find the [NumPy for MATLAB users](https://numpy.org/doc/stable/user/numpy-for-matlab-users.html) page useful." ] }, { "cell_type": "markdown", "metadata": { "id": "U1PvreR9L9eW" }, "source": [ "In this tutorial, we will cover:\n", "\n", "* Basic Python: Basic data types (Containers, Lists, Dictionaries, Sets, Tuples), Functions, Classes\n", "* Numpy: Arrays, Array indexing, Datatypes, Array math, Broadcasting\n", "* Matplotlib: Plotting, Subplots, Images" ] }, { "cell_type": "markdown", "metadata": { "id": "nxvEkGXPM3Xh" }, "source": [ "## A Brief Note on Python Versions\n", "\n", "As of Spring 2026, Google Colab uses Python 3.12 by default. For compatibility with our assignments, we will use Python 3.11.13 to enforce the Python version by clicking `Runtime -> Change Runtime Type` and selecting `2025.07` You can check your Python version at the command line by running `python --version`.\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "1L4Am0QATgOc", "outputId": "8fc262fd-d9d9-43c0-bea7-fcfc8394ebe9" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Python 3.11.13\n" ] } ], "source": [ "!python --version" ] }, { "cell_type": "code", "source": [ "# IMPORTANT - If you are running this locally or on JupyterLab instead of Colab, uncomment the following lines to install required packages.\n", "! pip install matplotlib scikit-learn ipywidgets" ], "metadata": { "id": "YCs6xQQstKCa" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "JAFKYgrpL9eY" }, "source": [ "## Basics of Python" ] }, { "cell_type": "markdown", "metadata": { "id": "RbFS6tdgL9ea" }, "source": [ "Python is a high-level, dynamically typed multiparadigm programming language. Python code is often said to be almost like pseudocode, since it allows you to express very powerful ideas in very few lines of code while being very readable. As an example, here is an implementation of the classic quicksort algorithm in Python:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "cYb0pjh1L9eb", "outputId": "0525aea8-00a4-45a5-ba64-3986aca4e8be" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[1, 1, 2, 3, 6, 8, 10]\n" ] } ], "source": [ "def quicksort(arr):\n", " if len(arr) <= 1:\n", " return arr\n", " pivot = arr[len(arr) // 2]\n", " left = [x for x in arr if x < pivot]\n", " middle = [x for x in arr if x == pivot]\n", " right = [x for x in arr if x > pivot]\n", " return quicksort(left) + middle + quicksort(right)\n", "\n", "print(quicksort([3,6,8,10,1,2,1]))" ] }, { "cell_type": "markdown", "metadata": { "id": "NwS_hu4xL9eo" }, "source": [ "### Basic data types" ] }, { "cell_type": "markdown", "metadata": { "id": "DL5sMSZ9L9eq" }, "source": [ "#### Numbers" ] }, { "cell_type": "markdown", "metadata": { "id": "MGS0XEWoL9er" }, "source": [ "Integers and floats work as you would expect from other languages:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "KheDr_zDL9es", "outputId": "9f2e81a6-b403-4a2d-a958-3ed7b2110df2" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "3 \n" ] } ], "source": [ "x = 3\n", "print(x, type(x))" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "sk_8DFcuL9ey", "outputId": "7bfd1989-d068-4fb7-d607-a47cf8472631" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "4\n", "2\n", "6\n", "9\n" ] } ], "source": [ "print(x + 1) # Addition\n", "print(x - 1) # Subtraction\n", "print(x * 2) # Multiplication\n", "print(x ** 2) # Exponentiation" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "U4Jl8K0tL9e4", "outputId": "754c82dc-aca0-43ad-8519-bdea3d0f1ee7" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "4\n", "8\n" ] } ], "source": [ "x += 1\n", "print(x)\n", "x *= 2\n", "print(x)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "w-nZ0Sg_L9e9", "outputId": "3960eafc-f578-450b-8cc9-a477a8ed2909" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\n", "2.5 3.5 5.0 6.25\n" ] } ], "source": [ "y = 2.5\n", "print(type(y))\n", "print(y, y + 1, y * 2, y ** 2)" ] }, { "cell_type": "markdown", "metadata": { "id": "r2A9ApyaL9fB" }, "source": [ "Note that unlike many languages, Python does not have unary increment (x++) or decrement (x--) operators.\n", "\n", "Python integers have arbitrary precision. Python also has a built-in type for complex numbers; you can find all of the details in the [documentation](https://docs.python.org/3/library/stdtypes.html#numeric-types-int-float-complex)." ] }, { "cell_type": "markdown", "metadata": { "id": "EqRS7qhBL9fC" }, "source": [ "#### Booleans" ] }, { "cell_type": "markdown", "metadata": { "id": "Nv_LIVOJL9fD" }, "source": [ "Python implements all of the usual operators for Boolean logic, but uses English words rather than symbols (`&&`, `||`, etc.):" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "RvoImwgGL9fE", "outputId": "b59101b0-20d6-4092-bb06-caa1cd665580" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\n" ] } ], "source": [ "t, f = True, False\n", "print(type(t))" ] }, { "cell_type": "markdown", "metadata": { "id": "YQgmQfOgL9fI" }, "source": [ "Now let's look at the operations:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "6zYm7WzCL9fK", "outputId": "91d888d1-19fa-47e1-be23-56bd8da2b692" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "False\n", "True\n", "False\n", "True\n" ] } ], "source": [ "print(t and f) # Logical AND;\n", "print(t or f) # Logical OR;\n", "print(not t) # Logical NOT;\n", "print(t != f) # Logical XOR;" ] }, { "cell_type": "markdown", "metadata": { "id": "UQnQWFEyL9fP" }, "source": [ "#### Strings" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "AijEDtPFL9fP", "outputId": "c5ce2ca0-bc3a-49a6-9f4d-e21486ad2e3a" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "hello 5\n" ] } ], "source": [ "hello = 'hello' # String literals can use single quotes\n", "world = \"world\" # or double quotes; it does not matter\n", "print(hello, len(hello))" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "saDeaA7hL9fT", "outputId": "3dc81856-365b-4bbf-d075-84918c6f9754" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "hello world\n" ] } ], "source": [ "hw = hello + ' ' + world # String concatenation\n", "print(hw)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Nji1_UjYL9fY", "outputId": "80a87bd6-3a5a-43f1-ebc4-d25f2e51d547" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "hello world 12\n" ] } ], "source": [ "hw12 = f'{hello} {world} {12}' # string formatting with f-string\n", "print(hw12)" ] }, { "cell_type": "markdown", "metadata": { "id": "IK-eUgkPr2R9" }, "source": [ "Python 3.6+ introduced **f-strings** (formatted string literals), which are the preferred way to format strings. You may also see the older `.format()` method in existing code:\n", "\n", "```python\n", "hw12 = '{} {} {}'.format(hello, world, 12) # older style, still works\n", "```" ] }, { "cell_type": "markdown", "metadata": { "id": "bUpl35bIL9fc" }, "source": [ "String objects have a bunch of useful methods; for example:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "VOxGatlsL9fd", "outputId": "6a7250c0-8cd7-47ff-e09a-25126e215c1a" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Hello\n", "HELLO\n", " hello\n", " hello \n", "he(ell)(ell)o\n", "world\n" ] } ], "source": [ "s = \"hello\"\n", "print(s.capitalize()) # Capitalize a string\n", "print(s.upper()) # Convert a string to uppercase; prints \"HELLO\"\n", "print(s.rjust(7)) # Right-justify a string, padding with spaces\n", "print(s.center(7)) # Center a string, padding with spaces\n", "print(s.replace('l', '(ell)')) # Replace all instances of one substring with another\n", "print(' world '.strip()) # Strip leading and trailing whitespace" ] }, { "cell_type": "markdown", "metadata": { "id": "06cayXLtL9fi" }, "source": [ "You can find a list of all string methods in the [documentation](https://docs.python.org/3/library/stdtypes.html#string-methods)." ] }, { "cell_type": "markdown", "metadata": { "id": "p-6hClFjL9fk" }, "source": [ "### Containers" ] }, { "cell_type": "markdown", "metadata": { "id": "FD9H18eQL9fk" }, "source": [ "Python includes several built-in container types: lists, dictionaries, sets, and tuples." ] }, { "cell_type": "markdown", "metadata": { "id": "UsIWOe0LL9fn" }, "source": [ "#### Lists" ] }, { "cell_type": "markdown", "metadata": { "id": "wzxX7rgWL9fn" }, "source": [ "A list is the Python equivalent of an array, but is resizeable and can contain elements of different types:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "hk3A8pPcL9fp", "outputId": "2a4698f7-3f5f-4649-80a2-1e1411a6041b" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[3, 1, 2] 2\n", "2\n" ] } ], "source": [ "xs = [3, 1, 2] # Create a list\n", "print(xs, xs[2])\n", "print(xs[-1]) # Negative indices count from the end of the list; prints \"2\"" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "YCjCy_0_L9ft", "outputId": "a3373329-9571-475d-ffa6-aea457b9ffa1" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[3, 1, 'foo']\n" ] } ], "source": [ "xs[2] = 'foo' # Lists can contain elements of different types\n", "print(xs)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vJ0x5cF-L9fx", "outputId": "e680fcfd-b77d-49b5-a8d1-701e9326a141" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[3, 1, 'foo', 'bar']\n" ] } ], "source": [ "xs.append('bar') # Add a new element to the end of the list\n", "print(xs)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "cxVCNRTNL9f1", "outputId": "d8463f4b-89ef-448f-c591-9985835c42b9" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "bar [3, 1, 'foo']\n" ] } ], "source": [ "x = xs.pop() # Remove and return the last element of the list\n", "print(x, xs)" ] }, { "cell_type": "markdown", "metadata": { "id": "ilyoyO34L9f4" }, "source": [ "As usual, you can find all the gory details about lists in the [documentation](https://docs.python.org/3/tutorial/datastructures.html#more-on-lists)." ] }, { "cell_type": "markdown", "metadata": { "id": "ovahhxd_L9f5" }, "source": [ "#### Slicing" ] }, { "cell_type": "markdown", "metadata": { "id": "YeSYKhv9L9f6" }, "source": [ "In addition to accessing list elements one at a time, Python provides concise syntax to access sublists; this is known as slicing:" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ninq666bL9f6", "outputId": "67e5e2ec-679b-4075-f033-9083ca9de296" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[0, 1, 2, 3, 4]\n", "[2, 3]\n", "[2, 3, 4]\n", "[0, 1]\n", "[0, 1, 2, 3, 4]\n", "[0, 1, 2, 3]\n", "[0, 1, 8, 9, 4]\n" ] } ], "source": [ "nums = list(range(5)) # range generates a sequence of integers; list() converts it to a list\n", "print(nums) # Prints \"[0, 1, 2, 3, 4]\"\n", "print(nums[2:4]) # Get a slice from index 2 to 4 (exclusive); prints \"[2, 3]\"\n", "print(nums[2:]) # Get a slice from index 2 to the end; prints \"[2, 3, 4]\"\n", "print(nums[:2]) # Get a slice from the start to index 2 (exclusive); prints \"[0, 1]\"\n", "print(nums[:]) # Get a slice of the whole list; prints [\"0, 1, 2, 3, 4]\"\n", "print(nums[:-1]) # Slice indices can be negative; prints [\"0, 1, 2, 3]\"\n", "nums[2:4] = [8, 9] # Assign a new sublist to a slice\n", "print(nums) # Prints \"[0, 1, 8, 9, 4]\"" ] }, { "cell_type": "markdown", "metadata": { "id": "UONpMhF4L9f_" }, "source": [ "#### Loops" ] }, { "cell_type": "markdown", "metadata": { "id": "_DYz1j6QL9f_" }, "source": [ "You can loop over the elements of a list like this:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "4cCOysfWL9gA", "outputId": "ffd00112-3d4b-420c-f46b-4166d27ea588" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "cat\n", "dog\n", "monkey\n" ] } ], "source": [ "animals = ['cat', 'dog', 'monkey']\n", "for animal in animals:\n", " print(animal)" ] }, { "cell_type": "markdown", "metadata": { "id": "KxIaQs7pL9gE" }, "source": [ "If you want access to the index of each element within the body of a loop, use the built-in `enumerate` function:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "JjGnDluWL9gF", "outputId": "55d0ff0e-431e-4fcd-c1b0-b3d5b0ccb0b6" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "#1: cat\n", "#2: dog\n", "#3: monkey\n" ] } ], "source": [ "animals = ['cat', 'dog', 'monkey']\n", "for idx, animal in enumerate(animals):\n", " print(f'#{idx + 1}: {animal}')" ] }, { "cell_type": "markdown", "metadata": { "id": "arrLCcMyL9gK" }, "source": [ "#### List comprehensions:" ] }, { "cell_type": "markdown", "metadata": { "id": "5Qn2jU_pL9gL" }, "source": [ "When programming, frequently we want to transform one type of data into another. As a simple example, consider the following code that computes square numbers:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "IVNEwoMXL9gL", "outputId": "206f71b6-68ac-45bd-ad7e-84e6d8b8b280" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[0, 1, 4, 9, 16]\n" ] } ], "source": [ "nums = [0, 1, 2, 3, 4]\n", "squares = []\n", "for x in nums:\n", " squares.append(x ** 2)\n", "print(squares)" ] }, { "cell_type": "markdown", "metadata": { "id": "7DmKVUFaL9gQ" }, "source": [ "You can make this code simpler using a list comprehension:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "kZxsUfV6L9gR", "outputId": "09982821-be87-4e34-bfd7-bba8be14e586" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[0, 1, 4, 9, 16]\n" ] } ], "source": [ "nums = [0, 1, 2, 3, 4]\n", "squares = [x ** 2 for x in nums]\n", "print(squares)" ] }, { "cell_type": "markdown", "metadata": { "id": "-D8ARK7tL9gV" }, "source": [ "List comprehensions can also contain conditions:" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "yUtgOyyYL9gV", "outputId": "84f528ef-e6d6-4d9b-e2e1-d4cb9f1e4d00" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[0, 4, 16]\n" ] } ], "source": [ "nums = [0, 1, 2, 3, 4]\n", "even_squares = [x ** 2 for x in nums if x % 2 == 0]\n", "print(even_squares)" ] }, { "cell_type": "markdown", "metadata": { "id": "H8xsUEFpL9gZ" }, "source": [ "#### Dictionaries" ] }, { "cell_type": "markdown", "metadata": { "id": "kkjAGMAJL9ga" }, "source": [ "A dictionary stores (key, value) pairs, similar to a `Map` in Java or an object in Javascript. You can use it like this:" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "XBYI1MrYL9gb", "outputId": "b80f5549-ff68-4921-dcbd-62a0648af239" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "cute\n", "True\n" ] } ], "source": [ "d = {'cat': 'cute', 'dog': 'furry'} # Create a new dictionary with some data\n", "print(d['cat']) # Get an entry from a dictionary; prints \"cute\"\n", "print('cat' in d) # Check if a dictionary has a given key; prints \"True\"" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "pS7e-G-HL9gf", "outputId": "f0973933-fd78-4456-f47f-ba07bbef1631" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "wet\n" ] } ], "source": [ "d['fish'] = 'wet' # Set an entry in a dictionary\n", "print(d['fish']) # Prints \"wet\"" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 144 }, "id": "tFY065ItL9gi", "outputId": "12284183-c4ad-48f5-bf6a-11005db4faad" }, "outputs": [ { "output_type": "error", "ename": "KeyError", "evalue": "'monkey'", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/tmp/ipython-input-26-3521650589.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0md\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'monkey'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# KeyError: 'monkey' not a key of d\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mKeyError\u001b[0m: 'monkey'" ] } ], "source": [ "print(d['monkey']) # KeyError: 'monkey' not a key of d" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "8TjbEWqML9gl", "outputId": "e0b88f5b-2f07-44b3-8272-080f358e6444" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "N/A\n", "wet\n" ] } ], "source": [ "print(d.get('monkey', 'N/A')) # Get an element with a default; prints \"N/A\"\n", "print(d.get('fish', 'N/A')) # Get an element with a default; prints \"wet\"" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0EItdNBJL9go", "outputId": "bd82a5a6-aabd-406c-d0ef-0d9b375fbeff" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "N/A\n" ] } ], "source": [ "del d['fish'] # Remove an element from a dictionary\n", "print(d.get('fish', 'N/A')) # \"fish\" is no longer a key; prints \"N/A\"" ] }, { "cell_type": "markdown", "metadata": { "id": "wqm4dRZNL9gr" }, "source": [ "You can find all you need to know about dictionaries in the [documentation](https://docs.python.org/3/library/stdtypes.html#dict)." ] }, { "cell_type": "markdown", "metadata": { "id": "IxwEqHlGL9gr" }, "source": [ "It is easy to iterate over the key-value pairs in a dictionary:" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "rYfz7ZKNL9gs", "outputId": "f7753098-a46f-4c11-f048-8e7cb3bed209" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "A person has 2 legs\n", "A cat has 4 legs\n", "A spider has 8 legs\n" ] } ], "source": [ "d = {'person': 2, 'cat': 4, 'spider': 8}\n", "for animal, legs in d.items():\n", " print(f'A {animal} has {legs} legs')" ] }, { "cell_type": "markdown", "metadata": { "id": "17sxiOpzL9gz" }, "source": [ "Dictionary comprehensions: These are similar to list comprehensions, but allow you to easily construct dictionaries. For example:" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "8PB07imLL9gz", "outputId": "a55c34f5-4d10-4000-e306-f5a20e3990b3" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "{0: 0, 2: 4, 4: 16}\n" ] } ], "source": [ "nums = [0, 1, 2, 3, 4]\n", "even_num_to_square = {x: x ** 2 for x in nums if x % 2 == 0}\n", "print(even_num_to_square)" ] }, { "cell_type": "markdown", "metadata": { "id": "V9MHfUdvL9g2" }, "source": [ "#### Sets" ] }, { "cell_type": "markdown", "metadata": { "id": "Rpm4UtNpL9g2" }, "source": [ "A set is an unordered collection of distinct elements. As a simple example, consider the following:" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "MmyaniLsL9g2", "outputId": "d62627e2-2579-4ef7-e9f6-e84daec699cd" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "True\n", "False\n" ] } ], "source": [ "animals = {'cat', 'dog'}\n", "print('cat' in animals) # Check if an element is in a set; prints \"True\"\n", "print('fish' in animals) # prints \"False\"\n" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ElJEyK86L9g6", "outputId": "eee52bc4-9909-4a4e-9416-4e4d9634610a" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "True\n", "3\n" ] } ], "source": [ "animals.add('fish') # Add an element to a set\n", "print('fish' in animals)\n", "print(len(animals)) # Number of elements in a set;" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "5uGmrxdPL9g9", "outputId": "453d0e01-780a-44d1-edbe-869ba0b2ff92" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "3\n", "2\n" ] } ], "source": [ "animals.add('cat') # Adding an element that is already in the set does nothing\n", "print(len(animals))\n", "animals.remove('cat') # Remove an element from a set\n", "print(len(animals))" ] }, { "cell_type": "markdown", "metadata": { "id": "zk2DbvLKL9g_" }, "source": [ "_Loops_: Iterating over a set has the same syntax as iterating over a list; however since sets are unordered, you cannot make assumptions about the order in which you visit the elements of the set:" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "K47KYNGyL9hA", "outputId": "2a205ccd-8da3-4ff2-b638-0ff80fad378e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "#1: cat\n", "#2: fish\n", "#3: dog\n" ] } ], "source": [ "animals = {'cat', 'dog', 'fish'}\n", "for idx, animal in enumerate(animals):\n", " print(f'#{idx + 1}: {animal}')" ] }, { "cell_type": "markdown", "metadata": { "id": "puq4S8buL9hC" }, "source": [ "Set comprehensions: Like lists and dictionaries, we can easily construct sets using set comprehensions:" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "iw7k90k3L9hC", "outputId": "d2c1ed14-cad9-48d4-db34-0a2974fe535f" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "{0, 1, 2, 3, 4, 5}\n" ] } ], "source": [ "from math import sqrt\n", "print({int(sqrt(x)) for x in range(30)})" ] }, { "cell_type": "markdown", "metadata": { "id": "qPsHSKB1L9hF" }, "source": [ "#### Tuples" ] }, { "cell_type": "markdown", "metadata": { "id": "kucc0LKVL9hG" }, "source": [ "A tuple is an (immutable) ordered list of values. A tuple is in many ways similar to a list; one of the most important differences is that tuples can be used as keys in dictionaries and as elements of sets, while lists cannot. Here is a trivial example:" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "9wHUyTKxL9hH", "outputId": "441c09a9-1c39-4397-b52a-1d6d4f6de6df" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\n", "5\n", "1\n" ] } ], "source": [ "d = {(x, x + 1): x for x in range(10)} # Create a dictionary with tuple keys\n", "t = (5, 6) # Create a tuple\n", "print(type(t))\n", "print(d[t])\n", "print(d[(1, 2)])" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 144 }, "id": "Wy35oA1Kr2SD", "outputId": "868f91b2-b2fa-4d21-e83a-0e48ea74ca96" }, "outputs": [ { "output_type": "error", "ename": "TypeError", "evalue": "'tuple' object does not support item assignment", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/tmp/ipython-input-37-2825168956.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;31m# Raises a TypeError — tuples are immutable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mTypeError\u001b[0m: 'tuple' object does not support item assignment" ] } ], "source": [ "t[0] = 1 # Raises a TypeError — tuples are immutable" ] }, { "cell_type": "markdown", "metadata": { "id": "AXA4jrEOL9hM" }, "source": [ "### Functions" ] }, { "cell_type": "markdown", "metadata": { "id": "WaRms-QfL9hN" }, "source": [ "Python functions are defined using the `def` keyword. For example:" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "kiMDUr58L9hN", "outputId": "2cfbcbb3-1a32-4183-f05f-98e921be913c" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "negative\n", "zero\n", "positive\n" ] } ], "source": [ "def sign(x):\n", " if x > 0:\n", " return 'positive'\n", " elif x < 0:\n", " return 'negative'\n", " else:\n", " return 'zero'\n", "\n", "for x in [-1, 0, 1]:\n", " print(sign(x))" ] }, { "cell_type": "markdown", "metadata": { "id": "U-QJFt8TL9hR" }, "source": [ "We will often define functions to take optional keyword arguments, like this:" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "PfsZ3DazL9hR", "outputId": "8b489f84-5291-4ded-8414-822cc6d86d4f" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Hello, Bob!\n", "HELLO, FRED\n" ] } ], "source": [ "def hello(name, loud=False):\n", " if loud:\n", " print(f'HELLO, {name.upper()}')\n", " else:\n", " print(f'Hello, {name}!')\n", "\n", "hello('Bob')\n", "hello('Fred', loud=True)" ] }, { "cell_type": "markdown", "metadata": { "id": "ObA9PRtQL9hT" }, "source": [ "### Classes" ] }, { "cell_type": "markdown", "metadata": { "id": "hAzL_lTkL9hU" }, "source": [ "The syntax for defining classes in Python is straightforward:" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "RWdbaGigL9hU", "outputId": "09ec2b05-7de7-4a08-dfb6-901b5c12828f" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Hello, Fred!\n", "HELLO, FRED\n" ] } ], "source": [ "class Greeter:\n", "\n", " # Constructor\n", " def __init__(self, name):\n", " self.name = name # Create an instance variable\n", "\n", " # Instance method\n", " def greet(self, loud=False):\n", " if loud:\n", " print(f'HELLO, {self.name.upper()}')\n", " else:\n", " print(f'Hello, {self.name}!')\n", "\n", "g = Greeter('Fred') # Construct an instance of the Greeter class\n", "g.greet() # Call an instance method; prints \"Hello, Fred\"\n", "g.greet(loud=True) # Call an instance method; prints \"HELLO, FRED!\"" ] }, { "cell_type": "markdown", "metadata": { "id": "3cfrOV4dL9hW" }, "source": [ "## Numpy" ] }, { "cell_type": "markdown", "metadata": { "id": "fY12nHhyL9hX" }, "source": [ "Numpy is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays. If you are already familiar with MATLAB, you might find the [NumPy for MATLAB users](https://numpy.org/doc/stable/user/numpy-for-matlab-users.html) page useful to get started with Numpy." ] }, { "cell_type": "markdown", "metadata": { "id": "lZMyAdqhL9hY" }, "source": [ "To use Numpy, we first need to import the `numpy` package:" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "id": "58QdX8BLL9hZ" }, "outputs": [], "source": [ "import numpy as np" ] }, { "cell_type": "markdown", "metadata": { "id": "DDx6v1EdL9hb" }, "source": [ "### Arrays" ] }, { "cell_type": "markdown", "metadata": { "id": "f-Zv3f7LL9hc" }, "source": [ "A numpy array is a grid of values, all of the same type, and is indexed by a tuple of nonnegative integers. The number of dimensions is the `ndim` of the array; the `shape` of an array is a tuple of integers giving the size of the array along each dimension." ] }, { "cell_type": "markdown", "metadata": { "id": "_eMTRnZRL9hc" }, "source": [ "We can initialize numpy arrays from nested Python lists, and access elements using square brackets:" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-l3JrGxCL9hc", "outputId": "9c20371f-4fd8-41b8-a68b-7f178b6f17e0" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " (3,) 1 2 3\n", "[5 2 3]\n" ] } ], "source": [ "a = np.array([1, 2, 3]) # Create a 1D array\n", "print(type(a), a.shape, a[0], a[1], a[2])\n", "a[0] = 5 # Change an element of the array\n", "print(a)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ma6mk-kdL9hh", "outputId": "6b367f9e-14d5-4250-b750-34e7fbbebb95" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[1 2 3]\n", " [4 5 6]]\n" ] } ], "source": [ "b = np.array([[1,2,3],[4,5,6]]) # Create a 2D array\n", "print(b)" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ymfSHAwtL9hj", "outputId": "7831a270-e18b-415c-8fb5-0d36ee952e47" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "(2, 3)\n", "1 2 4\n" ] } ], "source": [ "print(b.shape)\n", "print(b[0, 0], b[0, 1], b[1, 0])" ] }, { "cell_type": "markdown", "metadata": { "id": "F2qwdyvuL9hn" }, "source": [ "Numpy also provides many functions to create arrays:" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "mVTN_EBqL9hn", "outputId": "63a817d0-bee2-4f80-9c8c-4570b16eebe2" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[0. 0.]\n", " [0. 0.]]\n" ] } ], "source": [ "a = np.zeros((2,2)) # Create an array of all zeros\n", "print(a)" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "skiKlNmlL9h5", "outputId": "5a06fa0c-6b01-4e96-e0d1-1984c4991f14" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[1. 1.]]\n" ] } ], "source": [ "b = np.ones((1,2)) # Create an array of all ones\n", "print(b)" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HtFsr03bL9h7", "outputId": "aa16bb2c-9981-471d-d128-895c5a25724d" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[7 7]\n", " [7 7]]\n" ] } ], "source": [ "c = np.full((2,2), 7) # Create a constant array\n", "print(c)" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-QcALHvkL9h9", "outputId": "f66d6d41-5931-4503-af07-77f5c2051b53" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[1. 0.]\n", " [0. 1.]]\n" ] } ], "source": [ "d = np.eye(2) # Create a 2x2 identity matrix\n", "print(d)" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "RCpaYg9qL9iA", "outputId": "c3f55918-3b9a-4423-e4ee-3c12d8cb56a5" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[0.57578828 0.65924643]\n", " [0.30645244 0.30191967]]\n" ] } ], "source": [ "rng = np.random.default_rng() # Create a random number generator\n", "e = rng.random((2,2)) # Create an array filled with random values\n", "print(e)" ] }, { "cell_type": "markdown", "metadata": { "id": "EtegT-rer2SE" }, "source": [ "In this course you will frequently work with arrays that have more than two dimensions —\n", "for example, a color image has shape `(height, width, channels)` and a batch of images has shape `(num_images, height, width, channels)`.\n", "The `axis` parameter in NumPy functions specifies which dimension to operate along:" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "JVY4vh53r2SF", "outputId": "d9fd4f80-c7b8-4ef6-8065-a0c07877b86e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Shape: (2, 3, 4)\n", "Sum over axis 0: (3, 4)\n", "Sum over axis 2: (2, 3)\n", "Sum over axes (0,2): (3,)\n" ] } ], "source": [ "# A 3D array: shape (2, 3, 4)\n", "a = np.ones((2, 3, 4))\n", "print(f'Shape: {a.shape}')\n", "print(f'Sum over axis 0: {np.sum(a, axis=0).shape}') # (3, 4)\n", "print(f'Sum over axis 2: {np.sum(a, axis=2).shape}') # (2, 3)\n", "print(f'Sum over axes (0,2): {np.sum(a, axis=(0, 2)).shape}') # (3,)" ] }, { "cell_type": "markdown", "metadata": { "id": "jI5qcSDfL9iC" }, "source": [ "### Array indexing" ] }, { "cell_type": "markdown", "metadata": { "id": "M-E4MUeVL9iC" }, "source": [ "Numpy offers several ways to index into arrays." ] }, { "cell_type": "markdown", "metadata": { "id": "QYv4JyIEL9iD" }, "source": [ "Slicing: Similar to Python lists, numpy arrays can be sliced. Since arrays may be multidimensional, you must specify a slice for each dimension of the array:" ] }, { "cell_type": "code", "execution_count": 51, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "wLWA0udwL9iD", "outputId": "467cc062-9643-4e3f-9586-b3eee163f2f0" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[2 3]\n", " [6 7]]\n" ] } ], "source": [ "# Create the following 2D array with shape (3, 4)\n", "# [[ 1 2 3 4]\n", "# [ 5 6 7 8]\n", "# [ 9 10 11 12]]\n", "a = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])\n", "\n", "# Use slicing to pull out the subarray consisting of the first 2 rows\n", "# and columns 1 and 2; b is the following array of shape (2, 2):\n", "# [[2 3]\n", "# [6 7]]\n", "b = a[:2, 1:3]\n", "print(b)" ] }, { "cell_type": "markdown", "metadata": { "id": "KahhtZKYL9iF" }, "source": [ "A slice of an array is a **view** into the same data, so modifying it will modify the original array. This is a common source of bugs — if you need an independent copy, use `.copy()`." ] }, { "cell_type": "code", "execution_count": 52, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "1kmtaFHuL9iG", "outputId": "dcbf5838-1f7d-4e35-cd74-e395b01e89de" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "2\n", "77\n" ] } ], "source": [ "print(a[0, 1])\n", "b[0, 0] = 77 # b[0, 0] is the same piece of data as a[0, 1]\n", "print(a[0, 1])" ] }, { "cell_type": "markdown", "metadata": { "id": "_Zcf3zi-L9iI" }, "source": [ "You can also mix integer indexing with slice indexing. However, doing so will yield an array of lower dimensionality than the original array. Note that this is quite different from the way that MATLAB handles array slicing:" ] }, { "cell_type": "code", "execution_count": 53, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "G6lfbPuxL9iJ", "outputId": "e09a6e70-0d5f-475d-a7e5-1ae1256c06a2" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 1 2 3 4]\n", " [ 5 6 7 8]\n", " [ 9 10 11 12]]\n" ] } ], "source": [ "# Create the following 2D array with shape (3, 4)\n", "a = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])\n", "print(a)" ] }, { "cell_type": "markdown", "metadata": { "id": "NCye3NXhL9iL" }, "source": [ "Two ways of accessing the data in the middle row of the array.\n", "Mixing integer indexing with slices yields an array of fewer dimensions,\n", "while using only slices yields an array of the same dimensionality as the\n", "original array:" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "EOiEMsmNL9iL", "outputId": "b447d424-3294-48db-f481-5b4f8a7da583" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[5 6 7 8] (4,)\n", "[[5 6 7 8]] (1, 4)\n", "[[5 6 7 8]] (1, 4)\n" ] } ], "source": [ "row_r1 = a[1, :] # 1D view of the second row of a\n", "row_r2 = a[1:2, :] # 2D view of the second row of a\n", "row_r3 = a[[1], :] # 2D view of the second row of a\n", "print(row_r1, row_r1.shape)\n", "print(row_r2, row_r2.shape)\n", "print(row_r3, row_r3.shape)" ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "JXu73pfDL9iN", "outputId": "2bd026ca-8b22-4dda-83fb-2d0da2d00293" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[ 2 6 10] (3,)\n", "\n", "[[ 2]\n", " [ 6]\n", " [10]] (3, 1)\n" ] } ], "source": [ "# We can make the same distinction when accessing columns of an array:\n", "col_r1 = a[:, 1]\n", "col_r2 = a[:, 1:2]\n", "print(col_r1, col_r1.shape)\n", "print()\n", "print(col_r2, col_r2.shape)" ] }, { "cell_type": "markdown", "metadata": { "id": "VP3916bOL9iP" }, "source": [ "Integer array indexing: When you index into numpy arrays using slicing, the resulting array view will always be a subarray of the original array. In contrast, integer array indexing allows you to construct arbitrary arrays using the data from another array. Here is an example:" ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "TBnWonIDL9iP", "outputId": "51691259-0bfb-4628-b5ea-c72d29238b35" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[1 4 5]\n", "[1 4 5]\n" ] } ], "source": [ "a = np.array([[1,2], [3, 4], [5, 6]])\n", "\n", "# An example of integer array indexing.\n", "# The returned array will have shape (3,) and\n", "print(a[[0, 1, 2], [0, 1, 0]])\n", "\n", "# The above example of integer array indexing is equivalent to this:\n", "print(np.array([a[0, 0], a[1, 1], a[2, 0]]))" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "n7vuati-L9iR", "outputId": "c2d4ab63-b384-4c7a-a644-59a11314a158" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[2 2]\n", "[2 2]\n" ] } ], "source": [ "# When using integer array indexing, you can reuse the same\n", "# element from the source array:\n", "print(a[[0, 0], [1, 1]])\n", "\n", "# Equivalent to the previous integer array indexing example\n", "print(np.array([a[0, 1], a[0, 1]]))" ] }, { "cell_type": "markdown", "metadata": { "id": "kaipSLafL9iU" }, "source": [ "One useful trick with integer array indexing is selecting or mutating one element from each row of a matrix:" ] }, { "cell_type": "code", "execution_count": 58, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ehqsV7TXL9iU", "outputId": "7e98dfb0-b2e3-4c9f-f138-0d14791b39ee" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 1 2 3]\n", " [ 4 5 6]\n", " [ 7 8 9]\n", " [10 11 12]]\n" ] } ], "source": [ "# Create a new array from which we will select elements\n", "a = np.array([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12]])\n", "print(a)" ] }, { "cell_type": "code", "execution_count": 59, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "pAPOoqy5L9iV", "outputId": "75151468-3bc8-4821-aca5-6ad0f7e787c6" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[ 1 6 7 11]\n" ] } ], "source": [ "# Create an array of indices\n", "b = np.array([0, 2, 0, 1])\n", "\n", "# Select one element from each row of a using the indices in b\n", "print(a[np.arange(4), b]) # Prints \"[ 1 6 7 11]\"" ] }, { "cell_type": "code", "execution_count": 60, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "6v1PdI1DL9ib", "outputId": "29c71764-b082-4bb9-8453-fd3292dbb3ac" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[11 2 3]\n", " [ 4 5 16]\n", " [17 8 9]\n", " [10 21 12]]\n" ] } ], "source": [ "# Mutate one element from each row of a using the indices in b\n", "a[np.arange(4), b] += 10\n", "print(a)" ] }, { "cell_type": "markdown", "metadata": { "id": "kaE8dBGgL9id" }, "source": [ "Boolean array indexing: Boolean array indexing lets you pick out arbitrary elements of an array. Frequently this type of indexing is used to select the elements of an array that satisfy some condition. Here is an example:" ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "32PusjtKL9id", "outputId": "ab4d1a3a-7ff7-41e0-fb45-38b1d46eae64" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[False False]\n", " [ True True]\n", " [ True True]]\n" ] } ], "source": [ "a = np.array([[1,2], [3, 4], [5, 6]])\n", "\n", "bool_idx = (a > 2) # Find the elements of a that are bigger than 2;\n", " # this returns a numpy array of Booleans of the same\n", " # shape as a, where each slot of bool_idx tells\n", " # whether that element of a is > 2.\n", "\n", "print(bool_idx)" ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "cb2IRMXaL9if", "outputId": "bfb8975e-7935-40bc-8354-162ca9057534" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[3 4 5 6]\n", "[3 4 5 6]\n" ] } ], "source": [ "# We use boolean array indexing to construct a 1D array\n", "# consisting of the elements of a corresponding to the True values\n", "# of bool_idx\n", "print(a[bool_idx])\n", "\n", "# We can do all of the above in a single concise statement:\n", "print(a[a > 2])" ] }, { "cell_type": "markdown", "metadata": { "id": "CdofMonAL9ih" }, "source": [ "For brevity we have left out a lot of details about numpy array indexing; if you want to know more you should read the [documentation](https://numpy.org/doc/stable/user/basics.indexing.html)." ] }, { "cell_type": "markdown", "metadata": { "id": "jTctwqdQL9ih" }, "source": [ "### Datatypes" ] }, { "cell_type": "markdown", "metadata": { "id": "kSZQ1WkIL9ih" }, "source": [ "Every numpy array is a grid of elements of the same type. Numpy provides a large set of numeric datatypes that you can use to construct arrays. Numpy tries to guess a datatype when you create an array, but functions that construct arrays usually also include an optional argument to explicitly specify the datatype. Here is an example:" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "4za4O0m5L9ih", "outputId": "f1efb70a-2a27-41f1-e7dd-9e566c2cbc72" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "int64 float64 int64\n" ] } ], "source": [ "x = np.array([1, 2]) # Let numpy choose the datatype\n", "y = np.array([1.0, 2.0]) # Let numpy choose the datatype\n", "z = np.array([1, 2], dtype=np.int64) # Force a particular datatype\n", "\n", "print(x.dtype, y.dtype, z.dtype)" ] }, { "cell_type": "markdown", "metadata": { "id": "RLVIsZQpL9ik" }, "source": [ "You can read all about numpy datatypes in the [documentation](https://numpy.org/doc/stable/reference/arrays.dtypes.html)." ] }, { "cell_type": "markdown", "metadata": { "id": "TuB-fdhIL9ik" }, "source": [ "### Array math" ] }, { "cell_type": "markdown", "metadata": { "id": "18e8V8elL9ik" }, "source": [ "Basic mathematical functions operate elementwise on arrays, and are available both as operator overloads and as functions in the numpy module:" ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "gHKvBrSKL9il", "outputId": "85b29f28-b88b-4bc5-e3c2-f63008aa87ad" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 6. 8.]\n", " [10. 12.]]\n", "[[ 6. 8.]\n", " [10. 12.]]\n" ] } ], "source": [ "x = np.array([[1,2],[3,4]], dtype=np.float64)\n", "y = np.array([[5,6],[7,8]], dtype=np.float64)\n", "\n", "# Elementwise sum; both produce the array\n", "print(x + y)\n", "print(np.add(x, y))" ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "1fZtIAMxL9in", "outputId": "549e03a2-f225-4f48-9efd-29f38b74782c" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[-4. -4.]\n", " [-4. -4.]]\n", "[[-4. -4.]\n", " [-4. -4.]]\n" ] } ], "source": [ "# Elementwise difference; both produce the array\n", "print(x - y)\n", "print(np.subtract(x, y))" ] }, { "cell_type": "code", "execution_count": 66, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "nil4AScML9io", "outputId": "dbc5e852-26c7-43ef-cad6-98df91f38c14" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 5. 12.]\n", " [21. 32.]]\n", "[[ 5. 12.]\n", " [21. 32.]]\n" ] } ], "source": [ "# Elementwise product; both produce the array\n", "print(x * y)\n", "print(np.multiply(x, y))" ] }, { "cell_type": "code", "execution_count": 67, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0JoA4lH6L9ip", "outputId": "a5de88db-c9f9-4a91-872b-f772c6a8195b" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[0.2 0.33333333]\n", " [0.42857143 0.5 ]]\n", "[[0.2 0.33333333]\n", " [0.42857143 0.5 ]]\n" ] } ], "source": [ "# Elementwise division; both produce the array\n", "# [[ 0.2 0.33333333]\n", "# [ 0.42857143 0.5 ]]\n", "print(x / y)\n", "print(np.divide(x, y))" ] }, { "cell_type": "code", "execution_count": 68, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "g0iZuA6bL9ir", "outputId": "9678379a-ac65-4d90-a5d6-29938f36f62e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[1. 1.41421356]\n", " [1.73205081 2. ]]\n" ] } ], "source": [ "# Elementwise square root; produces the array\n", "# [[ 1. 1.41421356]\n", "# [ 1.73205081 2. ]]\n", "print(np.sqrt(x))" ] }, { "cell_type": "markdown", "metadata": { "id": "a5d_uujuL9it" }, "source": [ "Note that unlike MATLAB, `*` is elementwise multiplication, not matrix multiplication. We instead use the `@` operator to compute inner products of vectors, to multiply a vector by a matrix, and to multiply matrices:" ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "I3FnmoSeL9iu", "outputId": "7f241213-95d1-4501-e2a8-6f3794ba036c" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "219\n" ] } ], "source": [ "x = np.array([[1,2],[3,4]])\n", "y = np.array([[5,6],[7,8]])\n", "\n", "v = np.array([9,10])\n", "w = np.array([11, 12])\n", "\n", "# Inner product of vectors; produces 219\n", "print(v @ w)" ] }, { "cell_type": "markdown", "metadata": { "id": "vmxPbrHASVeA" }, "source": [ "The `@` operator is the standard way to do matrix multiplication in Python. You may also see `np.dot()` and `v.dot(w)` in older code, which are equivalent for these operations:" ] }, { "cell_type": "code", "execution_count": 70, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vyrWA-mXSdtt", "outputId": "c9b4449f-698c-4cf4-fce9-ffb099390f60" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "219\n", "219\n" ] } ], "source": [ "# These are equivalent to v @ w\n", "print(v.dot(w))\n", "print(np.dot(v, w))" ] }, { "cell_type": "code", "execution_count": 71, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "zvUODeTxL9iw", "outputId": "e85bb31f-4c2f-4f83-b34c-d754464892d3" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[29 67]\n", "[29 67]\n" ] } ], "source": [ "# Matrix / vector product; both produce the 1D array [29 67]\n", "print(x @ v)\n", "print(np.dot(x, v))" ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "3V_3NzNEL9iy", "outputId": "3e042564-10dc-4bbb-f9d9-50a8b3ead1ac" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[19 22]\n", " [43 50]]\n", "[[19 22]\n", " [43 50]]\n" ] } ], "source": [ "# Matrix / matrix product; both produce the 2D array\n", "# [[19 22]\n", "# [43 50]]\n", "print(x @ y)\n", "print(np.dot(x, y))" ] }, { "cell_type": "markdown", "metadata": { "id": "FbE-1If_L9i0" }, "source": [ "Numpy provides many useful functions for performing computations on arrays; one of the most useful is `sum`:" ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "DZUdZvPrL9i0", "outputId": "0db73e14-baf7-439d-a39b-a1547ed8d944" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "10\n", "[4 6]\n", "[3 7]\n" ] } ], "source": [ "x = np.array([[1,2],[3,4]])\n", "\n", "print(np.sum(x)) # Compute sum of all elements; prints \"10\"\n", "print(np.sum(x, axis=0)) # Compute sum of each column; prints \"[4 6]\"\n", "print(np.sum(x, axis=1)) # Compute sum of each row; prints \"[3 7]\"" ] }, { "cell_type": "markdown", "metadata": { "id": "41S2_ikDr2SG" }, "source": [ "Several other NumPy functions come up frequently in deep learning:" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HckuM5Tgr2SG", "outputId": "97f5c1d2-57be-4cd5-fbe9-9dff7d9463f4" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[3 5]\n", "[2 1]\n", "[[ 1 -2 3]\n", " [-3 3 -3]]\n", "[[1 0 3]\n", " [0 5 0]]\n", "softmax: [0.65900114 0.24243297 0.09856589]\n", "L2 norm: 2.238302928559939\n" ] } ], "source": [ "x = np.array([[1, -2, 3], [-4, 5, -6]])\n", "\n", "print(np.max(x, axis=1)) # Max along each row: [3 5]\n", "print(np.argmax(x, axis=1)) # Index of max in each row: [2 1]\n", "print(np.clip(x, -3, 3)) # Clip values to [-3, 3]\n", "print(np.where(x > 0, x, 0)) # ReLU: keep positives, zero out negatives\n", "\n", "# exp and log (used in softmax, cross-entropy loss)\n", "scores = np.array([2.0, 1.0, 0.1])\n", "exp_scores = np.exp(scores)\n", "print(f'softmax: {exp_scores / np.sum(exp_scores)}')\n", "\n", "# L2 norm (used in gradient checking, regularization)\n", "print(f'L2 norm: {np.linalg.norm(scores)}')" ] }, { "cell_type": "markdown", "metadata": { "id": "ahdVW4iUL9i3" }, "source": [ "You can find the full list of mathematical functions provided by numpy in the [documentation](https://numpy.org/doc/stable/reference/routines.math.html).\n", "\n", "Apart from computing mathematical functions using arrays, we frequently need to reshape or otherwise manipulate data in arrays. The simplest example of this type of operation is transposing a matrix; to transpose a matrix, simply use the T attribute of an array object:" ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "63Yl1f3oL9i3", "outputId": "fbd61e60-3bde-43b6-88eb-65c8900866dd" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[1 2]\n", " [3 4]]\n", "transpose\n", " [[1 3]\n", " [2 4]]\n" ] } ], "source": [ "x = np.array([[1,2],[3,4]])\n", "print(x)\n", "print(\"transpose\\n\", x.T)" ] }, { "cell_type": "code", "execution_count": 76, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "mkk03eNIL9i4", "outputId": "4d5121ae-600e-49ab-af85-fa3ef613f958" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[1 2 3]]\n", "transpose\n", " [[1]\n", " [2]\n", " [3]]\n" ] } ], "source": [ "v = np.array([[1,2,3]])\n", "print(v)\n", "print(\"transpose\\n\", v.T)" ] }, { "cell_type": "markdown", "metadata": { "id": "pE-0l6edr2SH" }, "source": [ "Another very common operation is `reshape`, which changes the shape of an array without changing its data.\n", "You will use this constantly — for example, flattening an image into a vector, or reshaping weight matrices:" ] }, { "cell_type": "code", "execution_count": 77, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "6gLmXYuXr2SH", "outputId": "bcf8f963-1697-4feb-a067-efb25437a8d5" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Original shape: (2, 3)\n", "[1 2 3 4 5 6]\n", "[1 2 3 4 5 6]\n", "[[1]\n", " [2]\n", " [3]\n", " [4]\n", " [5]\n", " [6]]\n", "[[1 2]\n", " [3 4]\n", " [5 6]]\n" ] } ], "source": [ "x = np.array([[1, 2, 3], [4, 5, 6]])\n", "print(f'Original shape: {x.shape}') # (2, 3)\n", "\n", "# Flatten to a 1D vector\n", "print(x.reshape(-1)) # -1 means 'infer this dimension'\n", "print(x.flatten()) # equivalent, always returns a copy\n", "\n", "# Reshape to a column vector\n", "print(x.reshape(6, 1))\n", "\n", "# Reshape to a different 2D shape\n", "print(x.reshape(3, 2))" ] }, { "cell_type": "markdown", "metadata": { "id": "REfLrUTcL9i7" }, "source": [ "### Broadcasting" ] }, { "cell_type": "markdown", "metadata": { "id": "EygGAMWqL9i7" }, "source": [ "Broadcasting is a powerful mechanism that allows numpy to work with arrays of different shapes when performing arithmetic operations. Frequently we have a smaller array and a larger array, and we want to use the smaller array multiple times to perform some operation on the larger array.\n", "\n", "For example, suppose that we want to add a constant vector to each row of a matrix. We could do it like this:" ] }, { "cell_type": "code", "execution_count": 78, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "WEEvkV1ZL9i7", "outputId": "ee1cf21e-b981-4320-9442-696799f56c20" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 2 2 4]\n", " [ 5 5 7]\n", " [ 8 8 10]\n", " [11 11 13]]\n" ] } ], "source": [ "# We will add the vector v to each row of the matrix x,\n", "# storing the result in the matrix y\n", "x = np.array([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12]])\n", "v = np.array([1, 0, 1])\n", "y = np.empty_like(x) # Create an empty matrix with the same shape as x\n", "\n", "# Add the vector v to each row of the matrix x with an explicit loop\n", "for i in range(4):\n", " y[i, :] = x[i, :] + v\n", "\n", "print(y)" ] }, { "cell_type": "markdown", "metadata": { "id": "2OlXXupEL9i-" }, "source": [ "This works; however when the matrix `x` is very large, computing an explicit loop in Python could be slow. Note that adding the vector v to each row of the matrix `x` is equivalent to forming a matrix `vv` by stacking multiple copies of `v` vertically, then performing elementwise summation of `x` and `vv`. We could implement this approach like this:" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vS7UwAQQL9i-", "outputId": "e3fbf000-a021-4438-862a-73d6fa75b4d5" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[1 0 1]\n", " [1 0 1]\n", " [1 0 1]\n", " [1 0 1]]\n" ] } ], "source": [ "vv = np.tile(v, (4, 1)) # Stack 4 copies of v on top of each other\n", "print(vv) # Prints \"[[1 0 1]\n", " # [1 0 1]\n", " # [1 0 1]\n", " # [1 0 1]]\"" ] }, { "cell_type": "code", "execution_count": 80, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "N0hJphSIL9jA", "outputId": "5dc8c89f-8c6b-42a5-fa08-41f390b5bb2b" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 2 2 4]\n", " [ 5 5 7]\n", " [ 8 8 10]\n", " [11 11 13]]\n" ] } ], "source": [ "y = x + vv # Add x and vv elementwise\n", "print(y)" ] }, { "cell_type": "markdown", "metadata": { "id": "zHos6RJnL9jB" }, "source": [ "Numpy broadcasting allows us to perform this computation without actually creating multiple copies of v. Consider this version, using broadcasting:" ] }, { "cell_type": "code", "execution_count": 81, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vnYFb-gYL9jC", "outputId": "9913fba8-83fe-44b2-e773-c9388f1aeff8" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 2 2 4]\n", " [ 5 5 7]\n", " [ 8 8 10]\n", " [11 11 13]]\n" ] } ], "source": [ "# We will add the vector v to each row of the matrix x,\n", "# storing the result in the matrix y\n", "x = np.array([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12]])\n", "v = np.array([1, 0, 1])\n", "y = x + v # Add v to each row of x using broadcasting\n", "print(y)" ] }, { "cell_type": "markdown", "metadata": { "id": "08YyIURKL9jH" }, "source": [ "The line `y = x + v` works even though `x` has shape `(4, 3)` and `v` has shape `(3,)` due to broadcasting; this line works as if v actually had shape `(4, 3)`, where each row was a copy of `v`, and the sum was performed elementwise.\n", "\n", "Broadcasting two arrays together follows these rules:\n", "\n", "1. If the arrays do not have the same number of dimensions, prepend the shape of the lower-dimensional array with 1s until both shapes have the same length.\n", "2. The two arrays are said to be compatible in a dimension if they have the same size in the dimension, or if one of the arrays has size 1 in that dimension.\n", "3. The arrays can be broadcast together if they are compatible in all dimensions.\n", "4. After broadcasting, each array behaves as if it had shape equal to the elementwise maximum of shapes of the two input arrays.\n", "5. In any dimension where one array had size 1 and the other array had size greater than 1, the first array behaves as if it were copied along that dimension.\n", "\n", "If this explanation does not make sense, try reading the [broadcasting documentation](https://numpy.org/doc/stable/user/basics.broadcasting.html).\n", "\n", "Functions that support broadcasting are known as universal functions. You can find the list of all universal functions in the [documentation](https://numpy.org/doc/stable/reference/ufuncs.html#available-ufuncs).\n", "\n", "Here are some applications of broadcasting:" ] }, { "cell_type": "markdown", "metadata": { "id": "Vdtay9Nxr2SH" }, "source": [ "Use the widget below to experiment with broadcasting. Change the array shapes and see whether they are compatible:" ] }, { "cell_type": "code", "execution_count": 82, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 266, "referenced_widgets": [ "0dbc0257b55045feb74a7fe94fe86984", "c9d63001d4bb4f89bfa78db59a573b5d", "440f3419e0014b2ea6da27d903656fa9", "53dd5f2a9b544e17a99411397791a9e5", "2d2e4ca09e6f42b6995e868e4b479d46", "d0fd07903c994b7e8daeee3fcf9c947a", "2b78f824e7ea448c85c78ec999e9976f", "18b6a36ba5fc46f7a90958658e045bf8", "452e512f7f3b4164b870b648f5c88c8c", "d62b6263e8c349bb9684dbf9ac53b4ca", "073db12a258b4e22b7c59a00e131f803", "85cdcd036dcc48a4a8f7676cf001de59", "9e116a91ca424d41a6c47919fadb31d3", "db24aab8d0b042ef9639678d124cb4aa", "693be52eb4354179aa1bef9483b4059f", "59599602fd504201a362b5290446247e" ] }, "id": "e_iL-fFcr2SH", "outputId": "accb3975-0e9c-46b9-bef1-4372d4a6129e" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "interactive(children=(IntSlider(value=4, description='A rows', layout=Layout(width='200px'), max=5, min=1), In…" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "0dbc0257b55045feb74a7fe94fe86984" } }, "metadata": {} } ], "source": [ "from ipywidgets import interact_manual, IntSlider, Layout\n", "\n", "def explore_broadcasting(a_rows=4, a_cols=3, b_rows=1, b_cols=3):\n", " shape_a = (a_rows, a_cols)\n", " shape_b = (b_rows, b_cols)\n", "\n", " try:\n", " a = np.ones(shape_a)\n", " b = np.ones(shape_b)\n", " result = a + b\n", " print(f' A shape: {shape_a}')\n", " print(f' B shape: {shape_b}')\n", " print(f' Result: {result.shape} ✓ broadcast succeeded')\n", "\n", " # Show the rule that applied\n", " for dim in range(2):\n", " sa, sb = shape_a[dim], shape_b[dim]\n", " if sa == sb:\n", " print(f' Dim {dim}: {sa} == {sb} (same size)')\n", " elif sa == 1:\n", " print(f' Dim {dim}: {sa} → {sb} (A stretched)')\n", " elif sb == 1:\n", " print(f' Dim {dim}: {sb} → {sa} (B stretched)')\n", " except ValueError as e:\n", " print(f' A shape: {shape_a}')\n", " print(f' B shape: {shape_b}')\n", " print(f' ✗ {e}')\n", "\n", "style = Layout(width=\"200px\")\n", "interact_manual(explore_broadcasting,\n", " a_rows=IntSlider(min=1, max=5, value=4, description=\"A rows\", layout=style),\n", " a_cols=IntSlider(min=1, max=5, value=3, description=\"A cols\", layout=style),\n", " b_rows=IntSlider(min=1, max=5, value=1, description=\"B rows\", layout=style),\n", " b_cols=IntSlider(min=1, max=5, value=3, description=\"B cols\", layout=style));" ] }, { "cell_type": "code", "execution_count": 83, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "EmQnwoM9L9jH", "outputId": "c353f739-0d29-49ab-c6c0-966c00eda6e7" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 4 5]\n", " [ 8 10]\n", " [12 15]]\n" ] } ], "source": [ "# Compute outer product of vectors\n", "v = np.array([1,2,3]) # v has shape (3,)\n", "w = np.array([4,5]) # w has shape (2,)\n", "# To compute an outer product, we first reshape v to be a column\n", "# vector of shape (3, 1); we can then broadcast it against w to yield\n", "# an output of shape (3, 2), which is the outer product of v and w:\n", "\n", "print(np.reshape(v, (3, 1)) * w)" ] }, { "cell_type": "code", "execution_count": 84, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "PgotmpcnL9jK", "outputId": "61b4e7ca-9a3e-4b23-f787-0e9a46c9fb28" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[2 4 6]\n", " [5 7 9]]\n" ] } ], "source": [ "# Add a vector to each row of a matrix\n", "x = np.array([[1,2,3], [4,5,6]])\n", "# x has shape (2, 3) and v has shape (3,) so they broadcast to (2, 3),\n", "# giving the following matrix:\n", "\n", "print(x + v)" ] }, { "cell_type": "code", "execution_count": 85, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "T5hKS1QaL9jK", "outputId": "e4cfe3f8-2776-43a0-fc3e-880c9b49c4ca" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 5 6 7]\n", " [ 9 10 11]]\n" ] } ], "source": [ "# Add a vector to each column of a matrix\n", "# x has shape (2, 3) and w has shape (2,).\n", "# If we transpose x then it has shape (3, 2) and can be broadcast\n", "# against w to yield a result of shape (3, 2); transposing this result\n", "# yields the final result of shape (2, 3) which is the matrix x with\n", "# the vector w added to each column. Gives the following matrix:\n", "\n", "print((x.T + w).T)" ] }, { "cell_type": "code", "execution_count": 86, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "JDUrZUl6L9jN", "outputId": "f3bebfb7-2937-4adb-92e6-a6d848609429" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 5 6 7]\n", " [ 9 10 11]]\n" ] } ], "source": [ "# Another solution is to reshape w to be a row vector of shape (2, 1);\n", "# we can then broadcast it directly against x to produce the same\n", "# output.\n", "print(x + np.reshape(w, (2, 1)))" ] }, { "cell_type": "code", "execution_count": 87, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "VzrEo4KGL9jP", "outputId": "66bed5e7-dbac-41a4-8c80-150e3f069f4b" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[[ 2 4 6]\n", " [ 8 10 12]]\n" ] } ], "source": [ "# Multiply a matrix by a constant:\n", "# x has shape (2, 3). Numpy treats scalars as arrays of shape ();\n", "# these can be broadcast together to shape (2, 3), producing the\n", "# following array:\n", "print(x * 2)" ] }, { "cell_type": "markdown", "metadata": { "id": "cuOxOtZer2SI" }, "source": [ "Broadcasting typically makes your code more concise and faster, so you should strive to use it where possible.\n", "\n", "### Vectorization\n", "\n", "A key skill for this course is **replacing Python loops with vectorized NumPy operations**.\n", "NumPy operations run in optimized C under the hood, so they can be orders of magnitude faster than equivalent Python loops.\n", "Whenever you find yourself writing a `for` loop over array elements, ask whether you can express it with array operations instead." ] }, { "cell_type": "code", "execution_count": 88, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206, "referenced_widgets": [ "bedc6d9bc6d24b969fa7906991314750", "40a8322ac57b42c59dcf376ffae1de59", "b641a169358b4036b218657f5dd056f1", "e795abcd48654a899f42b22a4e9f15f5", "049f03ef56974784b93cf421536b0832", "bda1e7e36ea04dad99b41b45cae60acd", "131ce09a7cc14496917dd442f53bc20a", "3152db9bb30445279038442d4f2c3db6", "4c7a92a9b94a43fdaef6f13031a44245", "2db52053e3f3446b9696f4ce5658ed61" ] }, "id": "o83awMEOr2SI", "outputId": "b0e40226-d069-43aa-b4d6-f6696590e174" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "interactive(children=(IntSlider(value=500, description='Array size', max=2000, min=100, step=100), Button(desc…" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "bedc6d9bc6d24b969fa7906991314750" } }, "metadata": {} } ], "source": [ "from ipywidgets import interact_manual, IntSlider\n", "import time\n", "\n", "def benchmark_vectorization(size=500):\n", " x = np.random.default_rng(0).standard_normal((size, size))\n", "\n", " # Python loop\n", " start = time.time()\n", " result_loop = np.zeros_like(x)\n", " for i in range(x.shape[0]):\n", " for j in range(x.shape[1]):\n", " result_loop[i, j] = max(0, x[i, j])\n", " loop_time = time.time() - start\n", "\n", " # Vectorized\n", " start = time.time()\n", " result_vec = np.maximum(0, x)\n", " vec_time = time.time() - start\n", "\n", " speedup = loop_time / vec_time if vec_time > 0 else float(\"inf\")\n", " print(f'Array size: {size}x{size} ({size*size:,} elements)')\n", " print(f'Python loop: {loop_time:.4f}s')\n", " print(f'Vectorized: {vec_time:.6f}s')\n", " print(f'Speedup: {speedup:.0f}x faster')\n", "\n", " # Visual bar comparison\n", " bar_len = 40\n", " print(f'\\nLoop {\"█\" * bar_len}')\n", " vec_bar = max(1, int(bar_len * vec_time / loop_time))\n", " print(f'Vectorized {\"█\" * vec_bar}')\n", "\n", "interact_manual(benchmark_vectorization,\n", " size=IntSlider(min=100, max=2000, step=100, value=500,\n", " description='Array size'));" ] }, { "cell_type": "markdown", "metadata": { "id": "R0EjPefur2SI" }, "source": [ "### Images as NumPy Arrays\n", "\n", "In computer vision, images are just NumPy arrays. A color image is a 3D array of shape `(H, W, 3)` (height, width, RGB channels),\n", "and a batch of images is a 4D array of shape `(N, H, W, 3)`. Understanding shapes and axes is essential for the assignments." ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "A0nUo8qzr2SI", "outputId": "eeed0656-9b8a-4bac-b4ce-55b163bbd895" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Batch shape: (16, 32, 32, 3)\n", "Single image: (32, 32, 3)\n", "Red channel: (32, 32)\n", "Mean RGB: [126.78192139 125.8036499 127.44012451]\n" ] } ], "source": [ "# Simulate a batch of 16 RGB images, each 32x32 pixels\n", "images = np.random.default_rng(42).integers(0, 256, size=(16, 32, 32, 3), dtype=np.uint8)\n", "print(f'Batch shape: {images.shape}') # (N, H, W, C)\n", "print(f'Single image: {images[0].shape}') # (H, W, C)\n", "print(f'Red channel: {images[0, :, :, 0].shape}') # (H, W)\n", "\n", "# Compute mean pixel value per channel across the whole batch\n", "channel_means = images.mean(axis=(0, 1, 2)) # average over N, H, W\n", "print(f'Mean RGB: {channel_means}')" ] }, { "cell_type": "markdown", "metadata": { "id": "iF3ZtwVNL9jQ" }, "source": [ "This brief overview has touched on many of the important things that you need to know about numpy, but is far from complete. Check out the [numpy reference](https://numpy.org/doc/stable/reference/) to find out much more about numpy." ] }, { "cell_type": "markdown", "metadata": { "id": "tEINf4bEL9jR" }, "source": [ "## Matplotlib" ] }, { "cell_type": "markdown", "metadata": { "id": "0hgVWLaXL9jR" }, "source": [ "Matplotlib is a plotting library. In this section we give a brief introduction to the `matplotlib.pyplot` module, which provides a plotting system similar to that of MATLAB." ] }, { "cell_type": "code", "execution_count": 90, "metadata": { "id": "cmh_7c6KL9jR" }, "outputs": [], "source": [ "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": { "id": "jOsaA5hGL9jS" }, "source": [ "In modern versions of Colab and Jupyter, matplotlib plots are displayed inline by default, so no special setup is needed." ] }, { "cell_type": "markdown", "metadata": { "id": "U5Z_oMoLL9jV" }, "source": [ "### Plotting" ] }, { "cell_type": "markdown", "metadata": { "id": "6QyFJ7dhL9jV" }, "source": [ "The most important function in `matplotlib` is plot, which allows you to plot 2D data. Here is a simple example:" ] }, { "cell_type": "code", "execution_count": 91, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 448 }, "id": "pua52BGeL9jW", "outputId": "6d0ea223-fd25-4cb9-9108-28d6dae779f2" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "[]" ] }, "metadata": {}, "execution_count": 91 }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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8KhwuqIVapbBudyAnf755KBQC8Et2OTILaqQOh4iukdEk4rVU87Tzg1OioXF3kTii3jVxoD+uHxIIg0nE69s5vd4TTHAIonhxmPfeif0R7C2PYd5LDQrywm/jIwAA67iFA5HD++FYCU6XN8DHTYVFU6KkDscmViSZR3G+yizibuM9wASH8OvZahzMr4GrUoE/3Ci/0RuLP04fAlelAvvPVGFfXqXU4RBRDxlNIv71y8W1Nz5u8hq9sYgf4Iepw4LMo1Ucxek2JjhkHf68e0IEQjXyG72xiPDzwO/a+vq8/HMuRJGdQokc0ZajxThT0QiNuwsWTY6SOhybWtm2Fuebw0U4w1YX3cIEx8kdzK/G/jNVcFEKeGjqYKnDsbmHpw2Cu4sSWYW12H2aozhEjsZoEvGvtrU3S64fCG+Zjt5YjI7wRdLwEJhE4F9sddEtTHCcnGWR3m/jI9DP113iaGwv2NsN9040j+K8u/usxNEQUXd9f6QYZysa4evhgvsnRUkdTp+w7Af4/dFinCqrlzgax8EEx4kdLqjBntOVUCoEPHSj/EdvLB6YEgWlQsDevEocL6qTOhwi6qJL16IsuT5a9qM3FiP7aZA8IgSiCLzDG7MuY4LjxF7fbm4gdcfYfugf4CFxNH0nws8Ds0eZ++K8t4cXCyJHkZpdhrNta2+cZfTGwlIA8m1WEcq13Dy4K5jgOKkTxXXYnlMOhQAsm+Y8ozcWS2+IBgB8f7SErdCJHMT7e88BMLez8FKrJI6mb43t74f4AX5oNYr4z6/npQ7HITDBcVIf7MsHAMwaFYaBgZ7SBiOBkf00mDQoAEaTiA/aLppEZL+OF9XhwLlqqBQC7p80QOpwJPFgW7fmj389j2a9UeJo7F+fJDjr169HVFQU3NzckJCQgPT09E6PnTp1KgRBuOwxe/Zs6zELFy687OczZ87si48iC5UNOnyXVQwAWDRZXu3Nu2NJ2yjOp+kFqGtulTgaIrqSDW03IrNGhSFMI/+CiI7MGBGKSH931DS14uvDF6QOx+7ZPMH5/PPPsXLlSjz99NPIzMzEmDFjkJycjPLy8g6P//rrr1FSUmJ9HD9+HEqlEnfddVe742bOnNnuuE8//dTWH0U2Pj1QAL3RhDERGozr7yt1OJKZOjQIw0K80ag34tP0AqnDIaJOlGtb8P1R803ZYpntOdUdSoWARZPMn//9vedgMrGX15XYPMF55ZVXsGTJEixatAixsbF466234OHhgQ0bNnR4vL+/P0JDQ62Pbdu2wcPD47IER61WtzvOz8/P1h9FFvQGk3X+dtHkgRAEQeKIpCMIAh683nyx+GDfOegNJokjIqKOfJR2Hq1GEeMH+GFMpK/U4Ujq7gmR8FarcLaiETtPdTxQQGY2TXD0ej0yMjKQlJR08Q0VCiQlJSEtLa1L53j//fcxb948eHq2Xyeyc+dOBAcHY9iwYXjooYdQVVXV6Tl0Oh20Wm27h7P66XgJyut1CPZWY1ZbJZEzmxPXDyE+apRpdfjuSLHU4RDR/2hpNWLTAfNNmTOP3lh4qVW4t60j+3t7uH7wSmya4FRWVsJoNCIkJKTd8yEhISgtLb3q69PT03H8+HE8+OCD7Z6fOXMmPvroI6SmpuLFF1/Erl27cMstt8Bo7HjR1dq1a6HRaKyPyMjInn8oB2dZXHzfdQPgquIac1eVAgvbhnzf3X2W2zcQ2ZmvM4tQ09SKCD93zBgRKnU4duH+SeZeXvvPVOFEMXt5dcauv+Hef/99jBo1ChMnTmz3/Lx583D77bdj1KhRmDt3LrZs2YKDBw9i586dHZ5n9erVqKursz4KCwv7IHr7c7igBlmFtXBVKqzdfAn4XUJ/eLgqkVtWj/Rz1VKHQ0RtRFHEhn3mUYqFbV/qBPTzdbeOwL/PKtBO2TTBCQwMhFKpRFlZWbvny8rKEBp65Uy8sbERn332GRYvXnzV94mOjkZgYCDy8vI6/LlarYaPj0+7hzOyjN7cNiYcQd5qaYOxIxp3F8yJCwcAbDrAxcZE9mLXqQrklTfAS63CPROcd+S9I5bpuu+PFLPxXydsmuC4uroiPj4eqamp1udMJhNSU1ORmJh4xdd++eWX0Ol0uO+++676PhcuXEBVVRXCwrimpDOldS348VgJAMh+992e+N1Ec1+Nn46XoLJBJ3E0RARcvCm7e3yk02zL0FVxkb7Wxn9fHHLOWYmrsfkU1cqVK/Huu+/iww8/RHZ2Nh566CE0NjZi0aJFAIAFCxZg9erVl73u/fffx9y5cxEQENDu+YaGBjz22GP49ddfkZ+fj9TUVMyZMweDBw9GcnKyrT+Ow9p04DwMJhETo/wxsp9G6nDszqgIDcZEaNBqFPHfDPaXIJJaYXUTdp+uAACnbex3Nb9rW2rwaXohjCwZv4zNE5x77rkH69atw5o1axAXF4esrCykpKRYFx4XFBSgpKSk3Wtyc3Oxd+/eDqenlEoljh49ittvvx1Dhw7F4sWLER8fjz179kCt5rRLR3QGIz5pm3rh6E3n5ieYL6KfHChgfwkiiX1+sBCiCFw/JBADApyv23pXzB4dBh83FYpqm7GnLRmkiwTRCctGtFotNBoN6urqnGI9zpajxVj+yWGE+rhh7xPToFLa9dpyyTTpDUh4IRX1LQZ89MBE3DA0SOqQiJySwWjCpH9sR3m9Dut/Nw6zR3P5QWf+9t0JbNyfj+QRIXj79+OlDsfmuvP9zW86J/D5QfP87N3jI5jcXIGHqwp3josAAGvfDSLqe9tzylFer0OApytujg25+guc2O/aeuL8kl3Oxcb/g992MldY3YQ9pyshCMBd41mFcDWXXixK63ixIJLCZ203Zb+Nj2C/rqsYGuKN8QP8YDRxsfH/4l+OzH3ZtmB28qBARPp7SByN/Rsa4o2JUf4wmkTryBcR9Z3i2mbszDVvQcDS8K6595LFxlw/eBETHBkzmkR82ZbR80LRdfOvM18sPjtYAIOR+1MR9aUvDhXCJALXRfsjOshL6nAcQrvFxnmVUodjN5jgyNju0xUoqWuBr4cLZozgPHZXzRwZCn9PV5TUtWBHLisTiPqK0STii7aRU3Zb7zo3FyV+07Z+8BOuH7RigiNjn6ebLxS/GRsBtUopcTSOQ61S4q54LjYm6mu7T1WguK4Ffh4uSOa+U91iSQi52PgiJjgyVVGvwy/Z5i0yOD3VffPaLha7T1WgjBcLoj7xSbq5X9dvxkXAzYU3Zd0xLNQb8W2Ljb9ks1IATHBk6+vMCzCYRIzt74thod5Sh+NwBgZ6In6AH0wi8M3hIqnDIZK9Mm0LtueYFxffO5E3ZT1xsbMxm5UCTHBkSRQvVgDN4+hNj1l64nyVeQFO2A+TqE99eci83cCEKD8MDuZNWU/MHh0Gb7UKF2qaceBctdThSI4JjgwdzK/B2cpGeLoqcevocKnDcVizR4fBVaXAqbIGHC/SSh0OkWyJooivMs0jpfdM4OLinnJzUVq7Pm8+zGkqJjgy9NlB8zz2bWPC4alWSRyN49K4u2BGWxfVrzJ5sSCylazCWpyrbIS7ixK3jOTi4mthqab68VgpmvVGiaORFhMcmWnUGfDTsVIA7FzcG+5sq6b6NqsIegN74hDZwua2dW7JI0J4U3aNxg/wQ4SfOxp0Bmw9WSp1OJJigiMz206WobnViKgAD4zr7yt1OA7v+sGBCPJWo6apFTvauqsSUe/RG0z4/kgxAOCOttEH6jmFQsBvxvYDcDFxdFZMcGTG8gc9d2w/CIIgcTSOT6VU4I62i8VXLL0k6nW7TlWgpqkVQd5qTB4UIHU4smBJFHefqkB5vfO2uWCCIyMV9TrsOW3uvDs3rp/E0ciHpZpqR245qhv1EkdDJC+WxbBzxoRDpeRXUm8YGOiJsf19YRKB77KKpQ5HMvxrkpHvjxTDJAJxkb6ICvSUOhzZGBbqjZH9fNBqFK1D6UR07eqaW/FLtnnq945xvCnrTZbFxl9nOu80FRMcGfk2y/yHbJlSod5zaU8cIuodPx4rgd5gwrAQb8SG+UgdjqzcNjoMLkoBJ0u0yCl1zjYXTHBk4kxFA45cqINSIeDWtj4I1HtuHxMOlULA0Qt1OF1WL3U4RLKwuW104Y5xXDPY23w9XHFTTDCAi79nZ8MERya+bVtcfMOQQAR4qSWORn4CvNSY1nax+C9HcYiuWWF1E9LzqyEIwJw4NiS1Bcs01ebDRTA64dYNTHBkQBRFbM66WD1FtmEpvdxypIRbNxBdI8seb5MGBSBM4y5xNPI0bVgwfD1cUF6vw768SqnD6XNMcGQgs6AGhdXN8HRVYkYsu4DayrSYYHi6KlFU24zMglqpwyFyWKIoWlta3DGWvW9sxVWlwG1t2/V87YQjz0xwZMDaBXRkKNxdlRJHI19uLkrMGGFOIFlNRdRzRy7U4WxlI9xcFJjJrRlsylKdtvVkmdNt3cAEx8HpDSb8cLQEAKun+sJtY8wLuH84VuKUc9pEvcFS8TkjNhRe3JrBpsZG+iLCzx1NeqPTdWNnguPgdl/SBXTSoECpw5G9KYODoHF3QUW9DgfOVkkdDpHDMZlE/HjMfFN22xguLrY1QRCsO4xvOepcI89McBzct21TJbeNDodSwTJLW3NVKTBrVNs0lZNdLIh6w6HzNSjT6uCtVuGGobwp6wuWdTjbc8rRqDNIHE3fYYLjwJr1RqRmlwEAbmeZZZ+xXCx+Ol7KHcaJuumHthuDm0eEQK3imsG+MCLcB1EBHmhpNeGXtu8MZ8AEx4HtzC1Hk96Ifr7uGBOhkTocp5EQHYBALzVqm1qdsvSSqKeMJhE/Hi8FcPFGgWxPEATc2vb73tK2ZtMZMMFxYFva5rFvHR3GLqB96NJu0aymIuq6A+eqUFGvg8bdBZMHc3qqL93aViCxK7cC2pZWiaPpG0xwHFSz3ojtbZvUzebWDH3OUk219WQZWlqdq/SSqKcsFZ8zR4TCVcWvn740LMQbg4O9oDeasO2Ec0xT8S/MQe3ILUdzqxGR/u4Y1Y/TU31tbKQf+vm6o0FnwE4nK70k6gmD0YSUtukp3pT1PfM0lXNVUzHBcVCWO6FZozg9JQVFu2kq55nTJuqptLNVqGrUw9/TFZMGBUgdjlOyrMPZc7oStU16iaOxvT5JcNavX4+oqCi4ubkhISEB6enpnR67ceNGCILQ7uHm5tbuGFEUsWbNGoSFhcHd3R1JSUk4ffq0rT+G3WjSG5CaYx5ivHUUF+pJxdLDIzWnDA1OVHpJ1BPW6amRoVApeW8thcHBXhge5gODScTPJ0qlDsfmbP5X9vnnn2PlypV4+umnkZmZiTFjxiA5ORnl5Z0P6/v4+KCkpMT6OH/+fLufv/TSS3jttdfw1ltv4cCBA/D09ERycjJaWlps/XHswvaccrS0mtDf3wMj+/lIHY7TGhHug4GBnmhpNVnL9Ynocq1GE1LavlBvHcXpKSldnKaS/8izzROcV155BUuWLMGiRYsQGxuLt956Cx4eHtiwYUOnrxEEAaGhodZHSEiI9WeiKOLVV1/Fk08+iTlz5mD06NH46KOPUFxcjG+++cbWH8cuWLqAzmb1lKQEQcDstou15b8JEV1uX14laptaEeilRkI0p6ekZCnP35dXicoGncTR2JZNExy9Xo+MjAwkJSVdfEOFAklJSUhLS+v0dQ0NDRgwYAAiIyMxZ84cnDhxwvqzc+fOobS0tN05NRoNEhISOj2nTqeDVqtt93BUjToDtue0VU/xTkhylo0Cd52qQJOe01REHdliXTMYyo7rEusf4IHRERqYRHOzUjmzaYJTWVkJo9HYbgQGAEJCQlBa2vEvdtiwYdiwYQO+/fZbfPzxxzCZTJg0aRIuXDBv9W55XXfOuXbtWmg0GusjMjLyWj+aZCzTUwMCPDAinNNTUhsR7oNIf3e0tJqwK7dC6nCI7I7OYLSu9+BNmX2wTFP9JPORZ7tb6ZWYmIgFCxYgLi4ON954I77++msEBQXh7bff7vE5V69ejbq6OuujsLCwFyPuW5aFerNZPWUXBEHALSPbLhYyvxsi6on9eVWobzEgxEeNCVH+UodDAGaOMF+zDpyrRnWjfKupbJrgBAYGQqlUoqys/QLMsrIyhIaGdukcLi4uGDt2LPLy8gDA+rrunFOtVsPHx6fdwxE16gzW7e7ZR8J+JI8w/91tzymHzsCmf0SXsvS+SR4RCgWnp+xC/wAPxIb5wGgSZb03lU0THFdXV8THxyM1NdX6nMlkQmpqKhITE7t0DqPRiGPHjiEszPyFPnDgQISGhrY7p1arxYEDB7p8TkeVmlMOncGEgYGeiA1zzCRNjsZG+iLER40GnQF7T3NvKiILg9GEbW1foDNHdO2mlvqGZf3gzzIeebb5FNXKlSvx7rvv4sMPP0R2djYeeughNDY2YtGiRQCABQsWYPXq1dbjn3nmGWzduhVnz55FZmYm7rvvPpw/fx4PPvggAPOUwIoVK/Dcc8/hu+++w7Fjx7BgwQKEh4dj7ty5tv44krL8Id4yMpTTU3ZEoRCsF29OUxFddDC/BtWNevh6uGDiQE5P2RNLgrPndCXqZbo3lcrWb3DPPfegoqICa9asQWlpKeLi4pCSkmJdJFxQUACF4mKeVVNTgyVLlqC0tBR+fn6Ij4/H/v37ERsbaz3m8ccfR2NjI5YuXYra2lpMmTIFKSkplzUElJOWVqN1S4Bk3gnZnZkjw/Bh2nlsO1mGVqMJLmxkRmRdXHzz8BA297MzQ4K9EB3kibMVjdiRW4Hbx8ivaawgiqIodRB9TavVQqPRoK6uzmHW46Rml2Hxh4cQpnHD/lU3cQTHzhhNIiY+/wuqGvX4z+KJuH5IkNQhEUlKFEVM+sd2lNS14P37x2P68JCrv4j61EspOfj3zjOYPSoM6+ePkzqcLunO9zdTagdhWag3IzaEyY0dUioEzBhhvoBzmooIOHqhDiV1LfB0VWLy4ECpw6EOWKapduSWo6VVfgUSTHAcgMFosq50Tx7J6Sl7NbOtXHzriVIYTU43MErUjmVrhqkxwXBzUUocDXVkVD8N+vm6o0lvxO5T8uvjxQTHARzMr0FNUyv8PFwwkX0k7FZidAB83FSobNAj43yN1OEQSUYUReuoM6un7JcgCNY1nSky3HyTCY4DsCzUm86FenbNVaVA0nDLNJW8O4QSXcnp8gacq2yEq1KBaTHBUodDV2CZpvqlrUBCTvhtaedEUcTWExcbZZF9u7S3hBOu3ycCcHHN4PVDAuGltnmxLl2D+AF+CPRyhbbFgF/PVkkdTq9igmPnjhXVobiuBR6uSlw/hAv17N0NQ4Pg4apEcV0LjlyokzocIklYRp25ZtD+KRUCbo6VZx8vJjh2znKhmDosiAv1HICbixJTh5lLxLedlNfFgqgrCqubcKJYC4UA65Qt2TfLyPPWE2WyKpBggmPnfj7RVj3F6SmHcXOs+aK+7aR893gh6ozlpixhYAD8PV0ljoa64mKBhE5WBRJMcOzYmYoG5JU3wEUpcKGeA5k2LBhKhYBTZQ04X9UodThEfcpaPcXpKYfhqlJYGzHKaeSZCY4ds9wJJQ4KhI+bi8TRUFf5erhay/k5ikPOpKJeh4wC8wiApfElOYZLR57lUiDBBMeOWTbXTOaFwuFYLu5bmeCQE9meUwZRBEZHaBCmcZc6HOqGG4YGwVWpQH5VE85UNEgdTq9ggmOnSuqaceRCHQThYmZNjsPy3+xQfjWqG/USR0PUN7adNG8IzMXFjsdLrULioAAA8rkxY4Jjp37JNl8oxkb6Ithbvruky1WEnweGh/nAJALbc8qlDofI5pr1RuzNM7f7502ZY7L8d/uFCQ7ZkuUPzNKfgBzPxTlt+SzaI+rM3rxKtLSa0M/XHTGh3lKHQz1gGXk7XFiLinqdxNFcOyY4dqhBZ0DaGXNHyZtjWT3lqGa0JTi7T1XKcqdeoktdvCkLgSAIEkdDPRGqccPoCA1EEUjNdvxRHCY4dmjv6QrojSZEBXhgUJCX1OFQD40I90G4xg3NrUbsy6uUOhwimzGaRKTmXExwyHFZRnF+YYJDtnDpQj3eCTkuQRDY9I+cQlZhLSob9PB2U2HiQH+pw6FrYLlm7TldiSa9QeJorg0THDtjNInY3nYnlMQ7IYdnWUP1S7a8WqATXcpytz91WDBclPxacWQxod6I8HOHzmDC3tOOPfLMv0Q7k1lQg5qmVmjcXTB+gJ/U4dA1Soj2h7ebCpUNemQVyqcFOtGlLl1/Q45NEATrNJWjjzwzwbEzlgvFtGFBUPFOyOG5KBWYNsy8UFwuvSWILpVf2YjT5Q1QKQTcODRI6nCoF1gKJLbnlDv0yDO/Qe3MtmxOT8kN1+GQnFmmpxKi/aFx55YycjBhoD983FSoatTjcIHjjjwzwbEjZysacLaiES5KATfwTkg2pg4LgotSwNmKRpyVSQt0IgtL4n4zuxfLhotSYd3g2ZFvzJjg2JHUtu7F10UHcHNNGfF2c0HCQHMLdHY1JjmpadTjYH41AI46y411HY4Dl4szwbEj1ukp3gnJzk1td0OWJJZIDnbklsMkAsPDfBDh5yF1ONSLbrxk5NlRN99kgmMnahr1ONR2JzR9OLsXy43lv+nB/GrUNbdKHA1R77Csv7mZ1yzZ8XFzwXXR5pHnHQ468swEx05Y7oTMPQh4JyQ3AwI8MTjYCwaTiD2nK6QOh+ia6Q0m7Mo1/y1P56izLDn6yDMTHDthvRPiPLZsTXfwiwXRpdLPVaNRb0SQtxqj+mmkDodswJLgOOrIMxMcO6A3mLD7lLljJNffyJflYrEj17F7SxABsO49ddOwYCgU3FJGjgYEeGJQkKfDjjwzwbED6eeq0aAzINCLd0JyFj/ADxp3F9Q2tTp0bwkiURStFYGWcmKSJ8v043YHHHlmgmMHLBeKm2KCeCckYyqlAlOHmfsb/eKAFwsii7OVjThf1QRXpQJThgRKHQ7ZkCOPPDPBsQOWzTVv4p2Q7Fn+G1v+mxM5IsvdfEK0P7zUKomjIVuKH+AHHzcVappaHW4/vT5JcNavX4+oqCi4ubkhISEB6enpnR777rvv4vrrr4efnx/8/PyQlJR02fELFy6EIAjtHjNnzrT1x7CJsxUNyK9qgotSwJQh7F4sd1OHBkOpEHCqrAGF1U1Sh0PUI5b1N9N5UyZ7LkoFbhzmmAUSNk9wPv/8c6xcuRJPP/00MjMzMWbMGCQnJ6O8vONf1M6dO3Hvvfdix44dSEtLQ2RkJGbMmIGioqJ2x82cORMlJSXWx6effmrrj2ITlumphIEBvBNyAhqPi7vEpzpwh1ByXnXNrTiYb76TvymGRRHOYLp15JkJTjuvvPIKlixZgkWLFiE2NhZvvfUWPDw8sGHDhg6P37RpEx5++GHExcUhJiYG7733HkwmE1JTU9sdp1arERoaan34+fnZ+qPYxMX1N7wTchaWpn+pDnaxIAKAPacrYDSJGBzshf4B7NnlDG4cGgSFAOSU1uNCjeOMPNs0wdHr9cjIyEBSUtLFN1QokJSUhLS0tC6do6mpCa2trfD392/3/M6dOxEcHIxhw4bhoYceQlVVVafn0Ol00Gq17R72QNvSivRz5u7FTHCch+Wu98BZc/UckSOxrL/h9JTz8PN0RXzbyLMjdTW2aYJTWVkJo9GIkJD2w5ghISEoLS3t0jmeeOIJhIeHt0uSZs6ciY8++gipqal48cUXsWvXLtxyyy0wGo0dnmPt2rXQaDTWR2RkZM8/VC/ae7oSBpOI6EBPRAV6Sh0O9ZFBQZ6ICvCA3mjCXgfsLUHOy2gSsSOXo87OyHJj5kgjz3ZdRfWPf/wDn332GTZv3gw3Nzfr8/PmzcPtt9+OUaNGYe7cudiyZQsOHjyInTt3dnie1atXo66uzvooLCzso09wZZyeck6CIFgvFiwXJ0eSVViDmqZW+LiprHf05BwsU+v7z1ShSe8YI882TXACAwOhVCpRVtZ+MWVZWRlCQ0Ov+Np169bhH//4B7Zu3YrRo0df8djo6GgEBgYiLy+vw5+r1Wr4+Pi0e0jNZBKxk3dCTstysdiZWw6Tg/WWIOdlqaK5cVgwVEq7vj+mXjYk2AsRfu7QG0zYl9f5khB7YtO/UFdXV8THx7dbIGxZMJyYmNjp61566SU8++yzSElJwfjx46/6PhcuXEBVVRXCwsJ6Je6+cLSoDpUNenirVRgf5X/1F5CsTIjyh6erEpUNehwvrpM6HKIusYw6c/2N8xEEweGqqWyegq9cuRLvvvsuPvzwQ2RnZ+Ohhx5CY2MjFi1aBABYsGABVq9ebT3+xRdfxFNPPYUNGzYgKioKpaWlKC0tRUNDAwCgoaEBjz32GH799Vfk5+cjNTUVc+bMweDBg5GcnGzrj9NrtreVCF8/NBCuKt4JORtX1cUOsI5ysSDnVlTbjJzSeigEc1UNOZ+bLNs25JRBFO1/5Nnm36z33HMP1q1bhzVr1iAuLg5ZWVlISUmxLjwuKChASUmJ9fg333wTer0ev/3tbxEWFmZ9rFu3DgCgVCpx9OhR3H777Rg6dCgWL16M+Ph47NmzB2q12tYfp9dsb5uemjaMd0LO6mILdC40JvtnScTjB/jBz9NV4mhICgkD/eHuokSZVoeTJfZRjXwlfdJZbvny5Vi+fHmHP/vfhcH5+flXPJe7uzt+/vnnXopMGmXaFhwv0kIQgKlMcJyW5b/90Qu1qGzQIdDLcRJ0cj47uLmm03NzUWLy4ED8kl2GnbkVGBFu35tDc25EApYLxegIXwR580vNWYX4uGFEuA9EEdjFURyyYy2tRuw/UwmARRHOblqMeXrSEfrhMMGRABfqkYVlitLSW4TIHv16tgotrSaEadwwLMRb6nBIQpaR58yCGtQ06iWO5sqY4PQxncGIfXnmOyGuvyHLcP/uUxUwGE0SR0PUsZ1tI4xThwVDEASJoyEp9fN1x7AQb5hEYLedNyplgtPHDuXXoFFvRJC3GiPCpe/HQ9KKi/SFn4cLtC0GZBbUSh0O0WVEUbSOOk8bxuopunhjttPOp9aZ4PQxy7zl1KFBUCh4J+TslArBWnLLcnGyR2crG1FQ3QQXpYDJgwOlDofsgCXR3XXKvPGqvWKC08csay1YiUAWF++GmOCQ/bHclCUMDICnuk8Kb8nOjRvgB283Faob9ThyoVbqcDrFBKcPFVQ14UxFI5QKwdrkjeiGIUFQCEBOaT2KapulDoeoHcs0BG/KyMJFqcANQ8yjODvteOSZCU4f2nnK/IcwfoAffNxcJI6G7IWfpyvG9jdvXMhRHLInjToDDpwz7zvE9Td0qWkO0KiUCU4fYqMs6oy1q3GO/V4syPnsy6tEq1HEgAAPDAz0lDocsiOWtYPHiupQXt8icTQdY4LTR8yNsix3QkxwqL2pbXfH+/Iq0dJqlDgaIjPL3fk0lofT/wjyVmN0hLmTsb02KmWC00fSzlZBZzAhXOOGoSFeUodDdiY2zAchPmo0txqRfq5a6nCIIIqidcp0KqenqANT7bxRKROcPmJZiDU1hndCdDlBEKwjeywXJ3uQU1qPkroWuLkocF10gNThkB2yTK3vOVWJVjtsVMoEpw+IothuqJeoI5a7oV2n7HO4l5yL5a588qBAuLkoJY6G7NHofhoEeLqiXmdAxvkaqcO5DBOcPmBplOWqVGDSIN4JUccmDw6Ai1LAucpG5Fc2Sh0OObmdbQvep7IogjqhuKRRqT1OUzHB6QPWRlnR/myURZ3ydnPB+AH+AFguTtKqa2pFRoH5jnzqUK6/oc5NtVaA2t81iwlOH7h0ozqiK7Es5tzJaSqS0J48cwv+IcFeiPT3kDocsmM3DAmEQgBOlTWg2M4alTLBsbFLG2WxEoGuxtIjKe1MFcvFSTKWfky8ZtHV+Hpc2qjUvm7MmODYmKVRVn9/D0SzURZdxZBgL4Rr3KAzmJB2tkrqcMgJmUyidaE7iyKoKyzTmPY2tc4Ex8Z25F68E2J5OF2NIAi4se1LxZ73eCH5OlmiRWWDDp6uSoyP8pc6HHIAlpHnfXmV0Bvsp1ycCY4NXdooi9szUFdN4zockpDlmjVpcCBcVfyKoKuLDfNBoJcajXojDuXbT6NS/vXa0KmyBpTUtUCtUiCRjbKoiyYNDoSLUsD5qiacY7k49TH27KLuurRc3J5uzJjg2JDlTui66AA2yqIu81KrMHGgeWrAHksvSb5qm/Q4bCkP5wJj6gbL34s9XbOY4NjQzlxWIlDPTB3atg7Hju6GSP72nK6ESQSGhngh3Ndd6nDIgdwwJAgKAThd3oAiOykXZ4JjIw06Aw6dN89Fsv8NdZclKf71bBWa9SwXp75h6UbL6SnqLo2HC8ZZy8XtYxSHCY6NWMrDowI8MJDl4dRNg4O90M/XHXqDCWlnK6UOh5yAySRid9uI4Y0cdaYeuDhNZR8jz0xwbMSSwXL0hnpCEISLXY3trHkWydOJYi0qG/Tm8vABLA+n7rN83+0/UwmdQfqRZyY4NmAuD+edEF0by8ViR245RFGUOBqSO8tN2WSWh1MPjQj3QZC3Gk16Iw7lS7+7OP+KbYDl4dQbJg0KgKtSgcLqZpxluTjZ2A727KJrJAiX7C5uB9VUTHBsgOXh1Bs8WS5OfaS2SY+swloArPqka2NZoG4PFaBMcGxgp7VRFi8UdG0sXza77OBiQfK1u608fFiIN8I0LA+nnpsyJBBKhYC88gYUVjdJGgsTnF5W39LK8nDqNZYE58DZajTpDRJHQ3JlLYqI4U0ZXRuNuwvG9fcFIP0oTp8kOOvXr0dUVBTc3NyQkJCA9PT0Kx7/5ZdfIiYmBm5ubhg1ahR+/PHHdj8XRRFr1qxBWFgY3N3dkZSUhNOnT9vyI3TZvrwqa3l4FMvD6RoNCmorFzeakHaGu4tT7zOZROyyNCUdypsyunaWm/tdEvfDsXmC8/nnn2PlypV4+umnkZmZiTFjxiA5ORnl5R1/8P379+Pee+/F4sWLcfjwYcydOxdz587F8ePHrce89NJLeO211/DWW2/hwIED8PT0RHJyMlpaWmz9ca5q1ymWh1PvYbk42drx4jpUNerhpVYhfoCf1OGQDMweFYaX7hyN5+8YJWkcNk9wXnnlFSxZsgSLFi1CbGws3nrrLXh4eGDDhg0dHv+vf/0LM2fOxGOPPYbhw4fj2Wefxbhx4/DGG28AMI/evPrqq3jyyScxZ84cjB49Gh999BGKi4vxzTff2PrjXBHLw8kWLi7aY7k49T7LNWvy4ACWh1OviAr0xN0TIhHi4yZpHDb9a9br9cjIyEBSUtLFN1QokJSUhLS0tA5fk5aW1u54AEhOTrYef+7cOZSWlrY7RqPRICEhodNz6nQ6aLXadg9bYHk42cKkwSwXJ9thU1KSK5smOJWVlTAajQgJCWn3fEhICEpLSzt8TWlp6RWPt/yzO+dcu3YtNBqN9REZGdmjz3M1lgtF4iCWh1Pv8XC9WC7OaSrqTSwPJzlzivHI1atXo66uzvooLCy0yftMHx6MlTcPxT3jbZNAkfO6uA6H/XCo91jKw2NCWR5O8mPTBCcwMBBKpRJlZWXtni8rK0NoaGiHrwkNDb3i8ZZ/duecarUaPj4+7R62MDjYG3+cPgS3jAqzyfnJebFcnGxhZ1sDSa4ZJDmyaYLj6uqK+Ph4pKamWp8zmUxITU1FYmJih69JTExsdzwAbNu2zXr8wIEDERoa2u4YrVaLAwcOdHpOIkfHcnHqbSaTaG0gyfJwkiObT1GtXLkS7777Lj788ENkZ2fjoYceQmNjIxYtWgQAWLBgAVavXm09/k9/+hNSUlLwz3/+Ezk5Ofjb3/6GQ4cOYfny5QDMZbMrVqzAc889h++++w7Hjh3DggULEB4ejrlz59r64xBJguXi1NsuLQ8fH8XycJIfla3f4J577kFFRQXWrFmD0tJSxMXFISUlxbpIuKCgAArFxTxr0qRJ+OSTT/Dkk0/ir3/9K4YMGYJvvvkGI0eOtB7z+OOPo7GxEUuXLkVtbS2mTJmClJQUuLlJW5JGZEtThwVj04ECa7m4IAhSh0QO7NLycBelUyzHJCcjiE7YWEOr1UKj0aCurs5m63GIelujzoCxz2yD3mhC6qM3YlCQl9QhkQP7zb/3IbOgFmt/Mwr3TuwvdThEXdKd72+m7UQO4tLdxTlNRdeC5eHkDJjgEDkQlotTb2B5ODkDJjhEDsRaLn6O5eLUcywPJ2fABIfIgVjLxQ0sF6eeYXk4OQsmOEQORBAETIthuTj1HMvDyVkwwSFyMJa77h253F2cuo/l4eQs+NdN5GAsu4tfqGnGmQruLk7dw93DyVkwwSFyMB6uKiREW8rFWU1FXVfTeLE8/MahXGBM8sYEh8gBWe6+uQ6HumP36QpreXi4L8vDSd6Y4BA5oGlt5b3p56rRqGO5OHWNJSHm9BQ5AyY4RA5oYKAn+vt7QG80YT/LxakLLi0Pn8b+N+QEmOAQOSBBEKxfUju4Doe64GhRHaob9fB2U2HcAJaHk/wxwSFyUJZphl25FSwXp6va0da9+PohgSwPJ6fAv3IiB3VddADUKgWKaptxurxB6nDIzrE8nJwNExwiB+XuqsR10QEALt6dE3Wkol6HIxfqAABTWR5OToIJDpEDmzaM2zbQ1e1uW1w8sp8Pgn3cJI6GqG8wwSFyYJbphoP51ahvaZU4GrJXO7m5JjkhJjhEDiwq0BMDAz1hMInYl8dycbqcwWiyjuBYNmolcgZMcIgc3FTrNBXX4dDlsgprUdfcCl8PF8RFsjycnAcTHCIHd+m2DSwXp/9l6ZN0w5AgKBWCxNEQ9R0mOEQOLmGgP9xdlCjVtiC7pF7qcMjOXNyegdNT5FyY4BA5ODcXJSYPbisX5zQVXaJM24ITxVoIAnADy8PJyTDBIZIByzTVdvbDoUvsahu9GR3hi0AvtcTREPUtJjhEMjAtxpzgHC6oQU2jXuJoyF5YRvS4uSY5IyY4RDLQz9cdMaHeMInA7tNs+keA3mDCntOVALg9AzknJjhEMmEZxeE0FQHAofxqNOgMCPRyxeh+GqnDIepzTHCIZGKaZXfxUxUwmlgu7uwsie6NQ4OhYHk4OSEmOEQyMa6/LzTuLqhtakVWYY3U4ZDEtretv5k+nNNT5JyY4BDJhEqpsJYCc5rKueVXNuJsRSNUCgFThgRKHQ6RJJjgEMmIpVpmew4XGjszS4I7IcofPm4uEkdDJA0mOEQycuPQIAgCkF2iRUlds9ThkEQs5eE3xXB6ipyXTROc6upqzJ8/Hz4+PvD19cXixYvR0NBwxeMfeeQRDBs2DO7u7ujfvz/++Mc/oq6urt1xgiBc9vjss89s+VGIHEKAlxpxkb4ALrboJ+fSqDPgwNlqABcr64ickU0TnPnz5+PEiRPYtm0btmzZgt27d2Pp0qWdHl9cXIzi4mKsW7cOx48fx8aNG5GSkoLFixdfduwHH3yAkpIS62Pu3Lk2/CREjmMauxo7tb15ldAbTejv74FBQZ5Sh0MkGZWtTpydnY2UlBQcPHgQ48ePBwC8/vrrmDVrFtatW4fw8PDLXjNy5Eh89dVX1n8fNGgQnn/+edx3330wGAxQqS6G6+vri9DQUFuFT+SwbooJxivbTmFfXiV0BiPUKqXUIVEf2pFzcXpKEFgeTs7LZiM4aWlp8PX1tSY3AJCUlASFQoEDBw50+Tx1dXXw8fFpl9wAwLJlyxAYGIiJEydiw4YNEMXO+37odDpotdp2DyK5GhHug2BvNZr0RutUBTkHURStI3ecniJnZ7MEp7S0FMHB7f8HU6lU8Pf3R2lpaZfOUVlZiWefffayaa1nnnkGX3zxBbZt24Y777wTDz/8MF5//fVOz7N27VpoNBrrIzIysvsfiMhBCIKAqW3VVNxd3LmcKNaivF4HD1clEgb6Sx0OkaS6neCsWrWqw0W+lz5ycnKuOTCtVovZs2cjNjYWf/vb39r97KmnnsLkyZMxduxYPPHEE3j88cfx8ssvd3qu1atXo66uzvooLCy85viI7NlNl2zbcKXRTZIXy+jN5MGBcHPh1CQ5t26vwXn00UexcOHCKx4THR2N0NBQlJe3v3s0GAyorq6+6tqZ+vp6zJw5E97e3ti8eTNcXK7cxyEhIQHPPvssdDod1Gr1ZT9Xq9UdPk8kV1OGBMFVqcD5qiacqWjA4GBvqUOiPrA9h+XhRBbdTnCCgoIQFBR01eMSExNRW1uLjIwMxMfHAwC2b98Ok8mEhISETl+n1WqRnJwMtVqN7777Dm5ubld9r6ysLPj5+TGJIWrjpVYhIdofe05XIjW7nAmOE6hq0OHIhVoAFyvpiJyZzdbgDB8+HDNnzsSSJUuQnp6Offv2Yfny5Zg3b561gqqoqAgxMTFIT08HYE5uZsyYgcbGRrz//vvQarUoLS1FaWkpjEYjAOD777/He++9h+PHjyMvLw9vvvkmXnjhBTzyyCO2+ihEDilpeAgAIDWb63Ccwc7cCogiEBvmg1DN1W8MieTOZmXiALBp0yYsX74c06dPh0KhwJ133onXXnvN+vPW1lbk5uaiqakJAJCZmWmtsBo8eHC7c507dw5RUVFwcXHB+vXr8ec//xmiKGLw4MF45ZVXsGTJElt+FCKHM314MJ7+7gQOna9GTaMefp6uUodENsTpKaL2BNEJVyBqtVpoNBprCTqRXM18dTdySuvxf/eMwR1jI6QOh2xEbzBh3LPb0KAzYPPDkzC2v5/UIRHZRHe+v7kXFZGMWe7mOU0lbwfOVaFBZ0CglxpjInylDofILjDBIZKx6W3rcHadqkCr0SRxNGQrlgR2ekwwFAp2LyYCmOAQyVpcpC8CPF1R32LAwXPsaixHoihi28kyAOZ1V0RkxgSHSMaUCsHasj+Vm2/KUm5ZPYpqm6FWKTBlSKDU4RDZDSY4RDI33boOp4xdjWXIMj01eXAgPFxtWhhL5FCY4BDJ3PVDzV2N86uacKaiUepwqJdxeoqoY0xwiGTO0tUYALbnlEkcDfWmivqL3Yunx4RIGwyRnWGCQ+QELF2Nf2G5uKzsyCmHKAKj+mnYvZjofzDBIXICln44GedrUNuklzga6i3bss0jcpYEloguYoJD5AQi/T0wLMQbRpOInbkVUodDvaCl1Yi9pysBcP0NUUeY4BA5CcuXoOWunxzb/jOVaG41IkzjhhHh3HKG6H8xwSFyEjfHtnU1zq2AzmCUOBq6Vpb1VNOHB0MQ2L2Y6H8xwSFyEmMifBHsrUaDzoC0M1VSh0PXQBRFpGZbysO5/oaoI0xwiJyEQiEgqW0Ux9I7hRzT8SItyrQ6eLgqkRgdIHU4RHaJCQ6RE5lxSYJjMrGrsaPadrIUAHD9kEC4uSgljobIPjHBIXIiiYMC4KVWofySBnHkeLa2jcDNiA2VOBIi+8UEh8iJqFVK3DgsCACnqRzV+apG5JTWQ6kQWB5OdAVMcIicjGWaaisTHIe09YT5v1vCQH/4erhKHA2R/WKCQ+RkpsUEw0UpIK+8AWcrGqQOh7rp5xPm9TfJIzg9RXQlTHCInIyPmwuua6u84TSVY6mo1yGjoAbAxb5GRNQxJjhETojTVI7pl+wyiCIwOkKDcF93qcMhsmtMcIickKUfTmZBDSrqdRJHQ11lmZ6awdEboqtigkPkhMI07hgdoYEowtoRl+xbfUsr9ueZO1Bz/Q3R1THBIXJSnKZyLDtzK6A3mhAd6InBwV5Sh0Nk95jgEDmpGW2jAHvzKtGoM0gcDV2NJRG9eUQIN9ck6gImOEROakiwFwYEeEBvMGHXqQqpw6Er0BmM2JFj3j2c01NEXcMEh8hJCYJg/bL86XipxNHQlaSdqUKDzoBgbzXiInylDofIITDBIXJit4w0Jzjbs8vQ0mqUOBrqzM9t3Ytvjg2BQsHpKaKuYIJD5MTiIn0RrnFDo96IPacrpQ6HOmAyidaGjDM4PUXUZUxwiJyYIAhIbhvF+elYicTRUEcyC2pQ2aCDt1qFxLYO1ER0dUxwiJzcrFFhAIBt2WXQG0wSR0P/64e2xDMpNgSuKl6yibrKpv+3VFdXY/78+fDx8YGvry8WL16MhoYrb+43depUCILQ7vGHP/yh3TEFBQWYPXs2PDw8EBwcjMceewwGA8tciXoivr8fgr3VqG8xYN8ZTlPZE5NJxE/HzAvALYkoEXWNTROc+fPn48SJE9i2bRu2bNmC3bt3Y+nSpVd93ZIlS1BSUmJ9vPTSS9afGY1GzJ49G3q9Hvv378eHH36IjRs3Ys2aNbb8KESypVBcUk3FaSq7criwBqXaFnipVbh+SKDU4RA5FJslONnZ2UhJScF7772HhIQETJkyBa+//jo+++wzFBcXX/G1Hh4eCA0NtT58fHysP9u6dStOnjyJjz/+GHFxcbjlllvw7LPPYv369dDr9bb6OESydssoc4Kz9WQZWo2cprIXPxw1j94kDQ+Gm4tS4miIHIvNEpy0tDT4+vpi/Pjx1ueSkpKgUChw4MCBK75206ZNCAwMxMiRI7F69Wo0NTW1O++oUaMQEnJxs7nk5GRotVqcOHGiw/PpdDpotdp2DyK6aGKUPwI8XVHb1IoDZ6ulDofQNj113Dyixukpou6zWYJTWlqK4ODgds+pVCr4+/ujtLTzpmK/+93v8PHHH2PHjh1YvXo1/vOf/+C+++5rd95LkxsA1n/v7Lxr166FRqOxPiIjI3v6sYhkSaVUYMYI8/9HPx7nNJU9OFxYi5I68/TUDUODpA6HyOF0O8FZtWrVZYuA//eRk5PT44CWLl2K5ORkjBo1CvPnz8dHH32EzZs348yZMz0+5+rVq1FXV2d9FBYW9vhcRHJ1y0jzKMHWE6UwmkSJoyHLeqjpnJ4i6hFVd1/w6KOPYuHChVc8Jjo6GqGhoSgvL2/3vMFgQHV1NUJDu96sKiEhAQCQl5eHQYMGITQ0FOnp6e2OKSszN8Hq7LxqtRpqtbrL70nkjBIHBUDj7oLKBj0O5lfjOvZckYwoitbtMzg9RdQz3U5wgoKCEBR09eHSxMRE1NbWIiMjA/Hx8QCA7du3w2QyWZOWrsjKygIAhIWFWc/7/PPPo7y83DoFtm3bNvj4+CA2Nrabn4aILFyUCsyIDcGXGRfw07ESJjgSyiqsRVFtMzxdlbiR01NEPWKzNTjDhw/HzJkzsWTJEqSnp2Pfvn1Yvnw55s2bh/DwcABAUVERYmJirCMyZ86cwbPPPouMjAzk5+fju+++w4IFC3DDDTdg9OjRAIAZM2YgNjYWv//973HkyBH8/PPPePLJJ7Fs2TKO0hBdI0s1VcqJUpg4TSWZH9ump24aHsLpKaIesmkfnE2bNiEmJgbTp0/HrFmzMGXKFLzzzjvWn7e2tiI3N9daJeXq6opffvkFM2bMQExMDB599FHceeed+P77762vUSqV2LJlC5RKJRITE3HfffdhwYIFeOaZZ2z5UYicwuTBgfBWq1Cm1SGjoEbqcJySKIr4sa253+xR3HuKqKcEURSd7jZNq9VCo9Ggrq6uXY8dIgIe/eIIvsq8gN9fNwDPzh0pdThOJ6uwFnPX74OHqxKZT93MERyiS3Tn+5sbmxBRO7fHmaeQfzhWwqZ/ErBUT90Uw+opomvBBIeI2pk8KAABnq6obtRjXx73pupLoihaN9eczeopomvCBIeI2lEpFdbS5O+OXHlbFepdmQW1uFBjrp6aOiz46i8gok4xwSGiy1imqbaeKENLq1HiaJzHt1lFAIDkEaFwd+X0FNG1YIJDRJeJ7++HcI0bGnQG7Mgpv/oL6Jq1Gk344ah5esqSYBJRzzHBIaLLKBQCbmv7kuU0Vd/Ym1eJqkY9Ar1cMWVwoNThEDk8JjhE1KHbx5gTnNSccmhbWiWORv6+PWyenrp1dDhUSl6aia4V/y8iog7FhvlgUJAn9AYTtp4okzocWWvSG7D1pPl3zOkpot7BBIeIOiQIAm4f0w8Ap6lsbdvJMjTpjRgQ4IGxkb5Sh0MkC0xwiKhTltGEfXmVqGrQSRyNfH2bZU4g54wJhyAIEkdDJA9McIioUwMDPTGqnwZGk2jdAJJ6V3WjHrtPVQAAbo/rJ3E0RPLBBIeIrsiy2NgyykC964djJTCYRIzs54PBwV5Sh0MkG0xwiOiKbh0TBkEADp2vQUFVk9ThyI6lemouR2+IehUTHCK6ojCNu7Uvy38zL0gcjbwUVjfh0PkaCIK5PJyIeg8THCK6qt/GRwAAvsq4AJNJlDga+bBUpyVGByBU4yZxNETywgSHiK4qeUQovNUqFNU249dzVVKHIwuiKGJz2/TUHPa+Iep1THCI6KrcXJS4tW2x8X8zOE3VGzILapFX3gB3F6V193Yi6j1McIioSyzTVD8dK0WDziBxNI7vy0OFAIBZo8Lg7eYicTRE8sMEh4i6ZFx/X0QHeaK51Ygfj7InzrVo1Bnwfdv6m7vHR0gcDZE8McEhoi4RBME6isNpqmvz47ESNOqNiArwwMSB/lKHQyRLTHCIqMt+MzYCCgFIz69GfmWj1OE4rC8PmRPEu8ZHcmsGIhthgkNEXRaqccOUIUEAgK/ZE6dHzlY0ID2/GgoBuHMcp6eIbIUJDhF1y12WnjiZReyJ0wNftk3vTR0WzN43RDbEBIeIuuXm2BB4u5l74qSdZU+c7jAYTfiqLcHh4mIi22KCQ0Td4uaitG7AaSl1pq7ZdaoC5fU6BHi64qaYEKnDIZI1JjhE1G13j48EAPx4rBTVjXqJo3EcX7QlhHeM7QdXFS+/RLbE/8OIqNtGR2gwqp8GeqOJozhdVFGvQ2p2OQDg7gmREkdDJH9McIio2wRBwO+vGwAA+PjAeS427oLNhy/AYBIRF+mLoSHeUodDJHtMcIioR24bEw4fNxUKq5ux63SF1OHYNaNJxMe/FgAA5nH0hqhPMMEhoh5xd1Xirra1OB+nnZc4Gvu2M7ccBdVN0Li7YE5cP6nDIXIKTHCIqMfmJ/QHAGzPLUdhdZPE0divD9sSwHsmRMLdVSlxNETOwaYJTnV1NebPnw8fHx/4+vpi8eLFaGho6PT4/Px8CILQ4ePLL7+0HtfRzz/77DNbfhQi6kB0kBeuHxIIUQQ+SS+QOhy7dKaiAbtPVUAQgPsSBkgdDpHTsGmCM3/+fJw4cQLbtm3Dli1bsHv3bixdurTT4yMjI1FSUtLu8fe//x1eXl645ZZb2h37wQcftDtu7ty5tvwoRNSJ+W1f2p8fLITOYJQ4Gvvzn7bRm+kxwegf4CFxNETOQ2WrE2dnZyMlJQUHDx7E+PHjAQCvv/46Zs2ahXXr1iE8PPyy1yiVSoSGhrZ7bvPmzbj77rvh5eXV7nlfX9/LjiWivpc0PBihPm4o1bYg5Xgp15hcokFnsO68fv+kKGmDIXIyNhvBSUtLg6+vrzW5AYCkpCQoFAocOHCgS+fIyMhAVlYWFi9efNnPli1bhsDAQEycOBEbNmyAKHZepqrT6aDVats9iKh3qJQK/K5tLc5/uNi4na8zL6BBZ0B0kCcmDwqUOhwip2KzBKe0tBTBwcHtnlOpVPD390dpaWmXzvH+++9j+PDhmDRpUrvnn3nmGXzxxRfYtm0b7rzzTjz88MN4/fXXOz3P2rVrodForI/ISJZpEvWmeRMioVIIOHS+BieLeQMBAKIo4sP9+QCA+xOjoFAI0gZE5GS6neCsWrWq04XAlkdOTs41B9bc3IxPPvmkw9Gbp556CpMnT8bYsWPxxBNP4PHHH8fLL7/c6blWr16Nuro666OwkJ1XiXpTsI8bkkeap4w37j8ncTT2YW9eJc5UNMJLrcKd8dxYk6ivdXsNzqOPPoqFCxde8Zjo6GiEhoaivLy83fMGgwHV1dVdWjvz3//+F01NTViwYMFVj01ISMCzzz4LnU4HtVp92c/VanWHzxNR73lg8kD8cLQE3xwuxqMzhiHEx03qkCT14X7zdN2d4/rBS22z5Y5E1Ilu/18XFBSEoKCgqx6XmJiI2tpaZGRkID4+HgCwfft2mEwmJCQkXPX177//Pm6//fYuvVdWVhb8/PyYxBBJKH6AHyZE+eFgfg027D2H1bOGSx2SZAqrm5CaUwYAWMDFxUSSsNkanOHDh2PmzJlYsmQJ0tPTsW/fPixfvhzz5s2zVlAVFRUhJiYG6enp7V6bl5eH3bt348EHH7zsvN9//z3ee+89HD9+HHl5eXjzzTfxwgsv4JFHHrHVRyGiLvrDjYMAAJsOFKCuuVXiaKTz7p6zEEXg+iGBGBTkdfUXEFGvs2kfnE2bNiEmJgbTp0/HrFmzMGXKFLzzzjvWn7e2tiI3NxdNTe07oG7YsAERERGYMWPGZed0cXHB+vXrkZiYiLi4OLz99tt45ZVX8PTTT9vyoxBRF0wbFoyhIV5o0Bmw6YBzVlSV17fgs4PmdX4PtSV8RNT3BPFK9dUypdVqodFoUFdXBx8fH6nDIZKVrzIu4NEvjyDQS429T0yDm4tzbU2w9qdsvL3rLMb298XXD02CILB6iqi3dOf7m3tREVGvuj0uHOEaN1Q26PB1ZpHU4fSp2ia9dePR5dMGM7khkhATHCLqVS5KBR6YMhAA8M7uMzCanGeQeOP+fDTqjYgJ9cZNMcFXfwER2QwTHCLqdfdO7A+Nuwvyq5rw84muNfZ0dA06Az7Ylw8AWMbRGyLJMcEhol7nqVZhQaJ5E863d5254lYqcrHp1/Ooa25FdKAnZo0KkzocIqfHBIeIbOL+SVFQqxQ4cqEO+/KqpA7HplpajXh3j7mD8x+mDoKS2zIQSY4JDhHZRKCXGvdONG/C+fLPObIexfnyUCEqG3To5+uOO8ZyN3Uie8AEh4hsZtm0wfBwVeLIhTr8dFyea3H0BhPe2nUWALD0hmi4KHlZJbIH/D+RiGwmyFuNB6+PBgCs+zkXBqNJ4oh63ycHzqOothmBXmrcMyFS6nCIqA0THCKyqSXXD4S/pyvOVjbii0MXpA6nV9U1t+JfqacBACuShjhdU0Mie8YEh4hsytvNBcunDQYAvPrLKTTrjRJH1HvW78hDTVMrhgR7YR5Hb4jsChMcIrK5+df1R4SfO8rrdfhg/zmpw+kVhdVN2NjW9+avs4ZDxbU3RHaF/0cSkc2pVUqsvHkoAODNnWdQ26SXOKJr92JKDvRGE6YMDsTUYUFSh0NE/4MJDhH1iTlx/RAT6o36FgPe3HlG6nCuSWZBDbYcLYEgmEdv2LWYyP4wwSGiPqFUCHh85jAAwAf781FQ1SRxRD0jiiKe23ISAPDbcRGIDb/yjsZEJA0mOETUZ6YNC8akQQHQG0z4f98cc8jmfz8dL0VmQS3cXZT4S/IwqcMhok4wwSGiPiMIAp6/YxRcVQrsOV2JrzOLpA6pW5r0Bqz9KRuAualfiI+bxBERUWeY4BBRnxoY6IkVSUMAAM/+cBKVDTqJI+q6f/yUg8LqZoRr3LD0hmipwyGiK2CCQ0R9bsn10Rge5oPaplY88/1JqcPpkv15lfgo7TwA4KXfjoGnWiVxRER0JUxwiKjPuSgVePHOUVAIwHdHirE9p0zqkK6ovqUVj/33KABgfkJ/TBkSKHFERHQ1THCISBKjI3yxeMpAAMCTm4+jQWeQOKLOvfBjDopqmxHh546/zhoudThE1AVMcIhIMn++eSgi/NxRXNeCl1NypA6nQ7tOVeDT9AIAwMucmiJyGExwiEgyHq4qvHDHKADAh2nn8cPREokjaq+uuRVPtE1NLZwUhcRBARJHRERdxQSHiCR1w9AgLLnePFX1ly+PILtEK3FEZqIo4slvjqNU24KoAA88MTNG6pCIqBuY4BCR5J6YGYPrhwSiudWIpf85hJpG6feq+r9fTuP7I8VQKQSsu2sM3F2VUodERN3ABIeIJKdSKvD6vWPR398DhdXNeOTTwzAYTZLF89+MC3gt9TQA4Pk7RmJ8lL9ksRBRzzDBISK74OvhincWxMPdRYm9eZV4UaJFx/vPVGL11+Z1Nw9PHYR7JvSXJA4iujZMcIjIbsSE+uCfd48BALy75xy+PFTYp++fV16PP/wnA61GEbeODsNfZnCvKSJHxQSHiOzKrFFhWDZtEADg8a+OYuO+c33yvhX1OizaeBDaFgPiB/hh3V1joFAIffLeRNT7mOAQkd159OZhWJA4AKII/O37k/jn1lyb7jyeXaLFHf/eh8LqZvT398A7v4+HmwsXFRM5MiY4RGR3FAoBf799BB69eSgA4PXtefjr5mM2WXj884lS3PnmflyoacaAAA98+MBEBHipe/19iKhvsSUnEdklQRDwyPQhCPRW4/9tPoZP0wtR1aDHv+aN7ZWSbVEU8cb2PPxz2ykAwOTBAVj/u3Hw9XC95nMTkfRsNoLz/PPPY9KkSfDw8ICvr2+XXiOKItasWYOwsDC4u7sjKSkJp0+fbndMdXU15s+fDx8fH/j6+mLx4sVoaGiwwScgIntw78T++Pf8eLiqFNh6sgzT/7kT32YVXdOUVWWDDo98etia3CxIHICNiyYyuSGSEZslOHq9HnfddRceeuihLr/mpZdewmuvvYa33noLBw4cgKenJ5KTk9HS0mI9Zv78+Thx4gS2bduGLVu2YPfu3Vi6dKktPgIR2YmZI0Pxnwcmop+ved+qP32WhTv+vR8Z56u7dZ6Sumb87bsTmPLidmw5WgKVQsDzd4zEM3NGwkXJGXsiORFEW67cA7Bx40asWLECtbW1VzxOFEWEh4fj0UcfxV/+8hcAQF1dHUJCQrBx40bMmzcP2dnZiI2NxcGDBzF+/HgAQEpKCmbNmoULFy4gPDy8SzFptVpoNBrU1dXBx8fnmj4fEfWdllYj3t97Dv/ekYdGvREAMHNEKKYPD8bY/n6IDvS8rPKppdWIsxWN+CgtH19lXkCr0XzJGxOhwZO3xmICm/gROYzufH/bzRqcc+fOobS0FElJSdbnNBoNEhISkJaWhnnz5iEtLQ2+vr7W5AYAkpKSoFAocODAAdxxxx0dnlun00Gn01n/Xau1j71uiKh73FyUWDZtMO4aH4F//nwKX2QUIuVEKVJOlAIAfNxUiOvvh0BPV1yoaUZBdRNKtS3tzpEw0B/LbxqMKYMDIQgsAyeSK7tJcEpLzReokJCQds+HhIRYf1ZaWorg4OB2P1epVPD397ce05G1a9fi73//ey9HTERSCfZ2w4u/HY37J0Xhm6wiZBXU4mhRLbQtBuw+VXHZ8Z6uSlwXHYCHpg7itgtETqJbCc6qVavw4osvXvGY7OxsxMTY1667q1evxsqVK63/rtVqERkZKWFERNQbYsN9EBtuHqZuNZqQW1qPwwU10LYYEOnvgf5tDz8PF47WEDmZbiU4jz76KBYuXHjFY6Kjo3sUSGhoKACgrKwMYWFh1ufLysoQFxdnPaa8vLzd6wwGA6qrq62v74harYZazb4WRHLmolRgZD8NRvbTSB0KEdmBbiU4QUFBCAoKskkgAwcORGhoKFJTU60JjVarxYEDB6yVWImJiaitrUVGRgbi4+MBANu3b4fJZEJCQoJN4iIiIiLHY7O6yIKCAmRlZaGgoABGoxFZWVnIyspq17MmJiYGmzdvBmBu6rVixQo899xz+O6773Ds2DEsWLAA4eHhmDt3LgBg+PDhmDlzJpYsWYL09HTs27cPy5cvx7x587pcQUVERETyZ7NFxmvWrMGHH35o/fexY8cCAHbs2IGpU6cCAHJzc1FXV2c95vHHH0djYyOWLl2K2tpaTJkyBSkpKXBzc7Mes2nTJixfvhzTp0+HQqHAnXfeiddee81WH4OIiIgckM374Ngj9sEhIiJyPN35/mbrTiIiIpIdJjhEREQkO0xwiIiISHaY4BAREZHsMMEhIiIi2WGCQ0RERLLDBIeIiIhkhwkOERERyQ4THCIiIpIdm23VYM8szZu1Wq3EkRAREVFXWb63u7IJg1MmOPX19QCAyMhIiSMhIiKi7qqvr4dGo7niMU65F5XJZEJxcTG8vb0hCEKvnlur1SIyMhKFhYXc50oC/P1Li79/6fB3Ly3+/vuGKIqor69HeHg4FIorr7JxyhEchUKBiIgIm76Hj48P/8glxN+/tPj7lw5/99Li79/2rjZyY8FFxkRERCQ7THCIiIhIdpjg9DK1Wo2nn34aarVa6lCcEn//0uLvXzr83UuLv3/745SLjImIiEjeOIJDREREssMEh4iIiGSHCQ4RERHJDhMcIiIikh0mOL1o/fr1iIqKgpubGxISEpCeni51SE5h7dq1mDBhAry9vREcHIy5c+ciNzdX6rCc1j/+8Q8IgoAVK1ZIHYrTKCoqwn333YeAgAC4u7tj1KhROHTokNRhOQWj0YinnnoKAwcOhLu7OwYNGoRnn322S3slkW0xwekln3/+OVauXImnn34amZmZGDNmDJKTk1FeXi51aLK3a9cuLFu2DL/++iu2bduG1tZWzJgxA42NjVKH5nQOHjyIt99+G6NHj5Y6FKdRU1ODyZMnw8XFBT/99BNOnjyJf/7zn/Dz85M6NKfw4osv4s0338Qbb7yB7OxsvPjii3jppZfw+uuvSx2a02OZeC9JSEjAhAkT8MYbbwAw73cVGRmJRx55BKtWrZI4OudSUVGB4OBg7Nq1CzfccIPU4TiNhoYGjBs3Dv/+97/x3HPPIS4uDq+++qrUYcneqlWrsG/fPuzZs0fqUJzSrbfeipCQELz//vvW5+688064u7vj448/ljAy4ghOL9Dr9cjIyEBSUpL1OYVCgaSkJKSlpUkYmXOqq6sDAPj7+0sciXNZtmwZZs+e3e7/A7K97777DuPHj8ddd92F4OBgjB07Fu+++67UYTmNSZMmITU1FadOnQIAHDlyBHv37sUtt9wicWTklJtt9rbKykoYjUaEhIS0ez4kJAQ5OTkSReWcTCYTVqxYgcmTJ2PkyJFSh+M0PvvsM2RmZuLgwYNSh+J0zp49izfffBMrV67EX//6Vxw8eBB//OMf4erqivvvv1/q8GRv1apV0Gq1iImJgVKphNFoxPPPP4/58+dLHZrTY4JDsrJs2TIcP34ce/fulToUp1FYWIg//elP2LZtG9zc3KQOx+mYTCaMHz8eL7zwAgBg7NixOH78ON566y0mOH3giy++wKZNm/DJJ59gxIgRyMrKwooVKxAeHs7fv8SY4PSCwMBAKJVKlJWVtXu+rKwMoaGhEkXlfJYvX44tW7Zg9+7diIiIkDocp5GRkYHy8nKMGzfO+pzRaMTu3bvxxhtvQKfTQalUShihvIWFhSE2Nrbdc8OHD8dXX30lUUTO5bHHHsOqVaswb948AMCoUaNw/vx5rF27lgmOxLgGpxe4uroiPj4eqamp1udMJhNSU1ORmJgoYWTOQRRFLF++HJs3b8b27dsxcOBAqUNyKtOnT8exY8eQlZVlfYwfPx7z589HVlYWkxsbmzx58mVtEU6dOoUBAwZIFJFzaWpqgkLR/qtUqVTCZDJJFBFZcASnl6xcuRL3338/xo8fj4kTJ+LVV19FY2MjFi1aJHVosrds2TJ88skn+Pbbb+Ht7Y3S0lIAgEajgbu7u8TRyZ+3t/dl6508PT0REBDAdVB94M9//jMmTZqEF154AXfffTfS09Pxzjvv4J133pE6NKdw22234fnnn0f//v0xYsQIHD58GK+88goeeOABqUNzeiwT70VvvPEGXn75ZZSWliIuLg6vvfYaEhISpA5L9gRB6PD5Dz74AAsXLuzbYAgAMHXqVJaJ96EtW7Zg9erVOH36NAYOHIiVK1diyZIlUoflFOrr6/HUU09h8+bNKC8vR3h4OO69916sWbMGrq6uUofn1JjgEBERkexwDQ4RERHJDhMcIiIikh0mOERERCQ7THCIiIhIdpjgEBERkewwwSEiIiLZYYJDREREssMEh4iIiGSHCQ4RERHJDhMcIiIikh0mOERERCQ7THCIiIhIdv4/+3FJGYC6Ja0AAAAASUVORK5CYII=\n" }, "metadata": {} } ], "source": [ "# Compute the x and y coordinates for points on a sine curve\n", "x = np.arange(0, 3 * np.pi, 0.1)\n", "y = np.sin(x)\n", "\n", "# Plot the points using matplotlib\n", "plt.plot(x, y)" ] }, { "cell_type": "markdown", "metadata": { "id": "9W2VAcLiL9jX" }, "source": [ "With just a little bit of extra work we can easily plot multiple lines at once, and add a title, legend, and axis labels:" ] }, { "cell_type": "code", "execution_count": 92, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 490 }, "id": "TfCQHJ5AL9jY", "outputId": "b5c79dc0-3376-45ec-9ffe-caefd9b27629" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "" ] }, "metadata": {}, "execution_count": 92 }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "y_sin = np.sin(x)\n", "y_cos = np.cos(x)\n", "\n", "# Plot the points using matplotlib\n", "plt.plot(x, y_sin)\n", "plt.plot(x, y_cos)\n", "plt.xlabel('x axis label')\n", "plt.ylabel('y axis label')\n", "plt.title('Sine and Cosine')\n", "plt.legend(['Sine', 'Cosine'])" ] }, { "cell_type": "markdown", "metadata": { "id": "R5IeAY03L9ja" }, "source": [ "### Subplots" ] }, { "cell_type": "markdown", "metadata": { "id": "CfUzwJg0L9ja" }, "source": [ "You can plot different things in the same figure using the subplot function. Here is an example:" ] }, { "cell_type": "code", "execution_count": 93, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 452 }, "id": "dM23yGH9L9ja", "outputId": "197d5141-3e78-4d61-dc5a-91912c171c2c" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# Compute the x and y coordinates for points on sine and cosine curves\n", "x = np.arange(0, 3 * np.pi, 0.1)\n", "y_sin = np.sin(x)\n", "y_cos = np.cos(x)\n", "\n", "# Set up a subplot grid that has height 2 and width 1,\n", "# and set the first such subplot as active.\n", "plt.subplot(2, 1, 1)\n", "\n", "# Make the first plot\n", "plt.plot(x, y_sin)\n", "plt.title('Sine')\n", "\n", "# Set the second subplot as active, and make the second plot.\n", "plt.subplot(2, 1, 2)\n", "plt.plot(x, y_cos)\n", "plt.title('Cosine')\n", "\n", "# Show the figure.\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "gLtsST5SL9jc" }, "source": [ "You can read much more about the `subplot` function in the [documentation](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot.html)." ] }, { "cell_type": "markdown", "metadata": { "id": "BfRTMSGcr2SI" }, "source": [ "### Images\n", "\n", "In a computer vision course, you will constantly use `matplotlib` to display and inspect images.\n", "The `imshow` function displays a NumPy array as an image." ] }, { "cell_type": "code", "execution_count": 94, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 426 }, "id": "iRQr8LDJr2SI", "outputId": "884660d4-13dd-4eab-b043-4628e4796e04" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Image shape: (427, 640, 3)\n", "Dtype: uint8\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "from sklearn.datasets import load_sample_image\n", "\n", "# sklearn ships with a sample image: \"flower.jpg\"\n", "img_array = load_sample_image('flower.jpg')\n", "\n", "print(f'Image shape: {img_array.shape}') # (H, W, 3)\n", "print(f'Dtype: {img_array.dtype}') # uint8, values 0-255\n", "\n", "plt.imshow(img_array)\n", "plt.title('Original image')\n", "plt.axis('off')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 95, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 322 }, "id": "wGd25_97r2SI", "outputId": "96f7478f-ca91-43b3-c72f-ac3472e7383a" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# Visualize individual color channels\n", "channel_names = ['Red', 'Green', 'Blue']\n", "cmaps = ['Reds', 'Greens', 'Blues']\n", "\n", "fig, axes = plt.subplots(1, 3, figsize=(12, 4))\n", "for i in range(3):\n", " axes[i].imshow(img_array[:, :, i], cmap=cmaps[i])\n", " axes[i].set_title(channel_names[i])\n", " axes[i].axis('off')\n", "plt.suptitle('RGB Channels')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "hGnG_yR5r2SJ" }, "source": [ "Since images are just NumPy arrays, you can manipulate them with all the array operations you already know.\n", "Try adjusting the sliders below to crop, flip, and tint the image interactively:" ] }, { "cell_type": "code", "execution_count": 96, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 337, "referenced_widgets": [ "9a93cc77e46d4582af746b8052465204", "58f7bbd4a67340a1b2764d464c3db247", "249956e14cb3402ca3217c6d23391e63", "6a500483df534a6eb8084439b83a2424", "3042c4d3c40d43b58621c0336f237fbe", "d98cfc16adfc4738b9b538ddfa497b1b", "18658e0d82d14220bb97f81447a2330e", "b88803e9e38a4609bda22a8bdddaadc2", "f59a426743d04aae99db385810b10223", "39857d4480404c49a3d38b4fa76e5d57", "a834cfebb03c42f99b1dee51babf23b2", "63f540d0548c4086bcce8431ba642533", "3a600383a7824377bb389a0f47dbeee5", "2345cf1ef37d44429a024c0e2bd2f986", "c159e7f86eea412b891404c46555d5d8", "e5150082f420476085463bd4420eeba6", "f9ba0cd7eab8441891869f4da411851e", "8dff3dddb12b4255a416a401ba9f0324", "5089a2e2dc0d4597acce3937e8dc1efd", "7474c933833d47ca884f0ad1f41bba0e", "7cd9ec2f81c54dbc961803c9dacdbea6", "8d10a29037cc4ad2a2ef26f65ae33d3a", "69a85a0587734826b3def4f1dd0276b2", "3e118be602c249eb9c69fea41aa1bef7", "ed755c8e76344a34a19b8be9afc8d5b6", "5a59af76de5440b99f94ba6eeddb7e2a", "c5073ecfdbc74de38a159236dc05c150", "0252b317ffd94ae6a3adde13bcb822d1", "bf95e07a02ae4553bd3e6eedc5eb9f31", "221c1235f3e849509839de4fb0733b48", "56a7913c12f346de882ae0090feae97d", "44ef3409c3fb482e9b81b1284157ac08", "93d9d8bc08754fcd855897e55327edc3", "12adaa5930f8498d94e6c9175ff68366" ] }, "id": "dlnDPUEmr2SJ", "outputId": "8c6bbd1b-554a-4efb-da1c-f4d66ec3cc11" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "interactive(children=(IntSlider(value=0, description='y start', max=426), IntSlider(value=427, description='y …" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "9a93cc77e46d4582af746b8052465204" } }, "metadata": {} } ], "source": [ "from ipywidgets import interact_manual, IntSlider, FloatSlider, Checkbox\n", "\n", "H, W = img_array.shape[:2]\n", "\n", "def manipulate_image(y_start=0, y_end=H, x_start=0, x_end=W,\n", " h_flip=False, v_flip=False,\n", " red=1.0, green=1.0, blue=1.0):\n", " # Crop\n", " img = img_array[y_start:y_end, x_start:x_end]\n", " # Flip\n", " if h_flip:\n", " img = img[:, ::-1, :]\n", " if v_flip:\n", " img = img[::-1, :, :]\n", " # Tint via broadcasting\n", " tint = img * np.array([red, green, blue])\n", " tint = np.clip(tint, 0, 255).astype(np.uint8)\n", "\n", " fig, axes = plt.subplots(1, 2, figsize=(10, 4))\n", " axes[0].imshow(img_array)\n", " axes[0].set_title('Original')\n", " axes[1].imshow(tint)\n", " axes[1].set_title(f'Modified [{y_start}:{y_end}, {x_start}:{x_end}]')\n", " for ax in axes: ax.axis('off')\n", " plt.tight_layout()\n", " plt.show()\n", "\n", "interact_manual(manipulate_image,\n", " y_start=IntSlider(min=0, max=H-1, value=0, description=\"y start\"),\n", " y_end=IntSlider(min=1, max=H, value=H, description=\"y end\"),\n", " x_start=IntSlider(min=0, max=W-1, value=0, description=\"x start\"),\n", " x_end=IntSlider(min=1, max=W, value=W, description=\"x end\"),\n", " h_flip=Checkbox(value=False, description=\"Horizontal flip\"),\n", " v_flip=Checkbox(value=False, description=\"Vertical flip\"),\n", " red=FloatSlider(min=0, max=1.5, step=0.1, value=1.0, description=\"Red\"),\n", " green=FloatSlider(min=0, max=1.5, step=0.1, value=1.0, description=\"Green\"),\n", " blue=FloatSlider(min=0, max=1.5, step=0.1, value=1.0, description=\"Blue\"));" ] }, { "cell_type": "markdown", "metadata": { "id": "CxxKhWlBr2SJ" }, "source": [ "## Conclusion\n", "\n", "This has been a brief overview of Python, NumPy, and Matplotlib, which are the core tools you will use throughout CS231N.\n", "The key takeaways to keep in mind as you start the assignments:\n", "\n", "- **Vectorize your code.** Avoid Python loops over array elements; use NumPy operations instead. This will be the difference between code that runs in seconds vs. minutes.\n", "- **Understand array shapes.** Most debugging in this course comes down to shape mismatches. Use `.shape` liberally and think in terms of `(N, H, W, C)` for image batches.\n", "- **Use broadcasting.** Once it clicks, broadcasting lets you write concise, fast code without manually tiling or reshaping arrays.\n", "\n", "You don't need to memorize every function so knowing how to look things up is just as important.\n", "\n", "### Additional Resources\n", "\n", "**Python**\n", "- [Official Python Tutorial](https://docs.python.org/3/tutorial/) — comprehensive walkthrough of the language\n", "- [Real Python](https://realpython.com/) — practical tutorials and guides\n", "\n", "**NumPy**\n", "- [NumPy Quickstart](https://numpy.org/doc/stable/user/quickstart.html) — official getting-started guide\n", "- [NumPy for MATLAB Users](https://numpy.org/doc/stable/user/numpy-for-matlab-users.html) — side-by-side comparison\n", "- [100 NumPy Exercises](https://github.com/rougier/numpy-100) — practice problems from beginner to advanced\n", "\n", "**Matplotlib**\n", "- [Pyplot Tutorial](https://matplotlib.org/stable/tutorials/pyplot.html) — official intro\n", "- [Matplotlib Cheatsheets](https://matplotlib.org/cheatsheets/) — handy quick-reference PDFs\n", "\n", "**CS231N-Specific**\n", "- [CS231N Course Website](https://cs231n.github.io/) — lecture notes, assignments, and syllabus\n", "- [NumPy/SciPy Cheat Sheet for CS231N](https://cs231n.github.io/python-numpy-tutorial/) — the original version of this tutorial on the course website" ] } ], "metadata": { "colab": { "provenance": [], "runtime_attributes": { "runtime_version": "2025.07" } }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.8" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "0dbc0257b55045feb74a7fe94fe86984": { "model_module": 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