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| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "# Introduction to Jupyter (formerly known as IPython) Notebook" |
| 8 | + ] |
| 9 | + }, |
| 10 | + { |
| 11 | + "cell_type": "markdown", |
| 12 | + "metadata": {}, |
| 13 | + "source": [ |
| 14 | + "## 1) Click HERE only once (so the blue bar shows up on the left)" |
| 15 | + ] |
| 16 | + }, |
| 17 | + { |
| 18 | + "cell_type": "markdown", |
| 19 | + "metadata": { |
| 20 | + "collapsed": true |
| 21 | + }, |
| 22 | + "source": [ |
| 23 | + "## 2) Use your arrow keys to move up and down" |
| 24 | + ] |
| 25 | + }, |
| 26 | + { |
| 27 | + "cell_type": "markdown", |
| 28 | + "metadata": {}, |
| 29 | + "source": [ |
| 30 | + "## 3) Stop on this row and press enter – notice you're now editing the row" |
| 31 | + ] |
| 32 | + }, |
| 33 | + { |
| 34 | + "cell_type": "markdown", |
| 35 | + "metadata": {}, |
| 36 | + "source": [ |
| 37 | + "## 4) Press shift + enter to execute the row" |
| 38 | + ] |
| 39 | + }, |
| 40 | + { |
| 41 | + "cell_type": "markdown", |
| 42 | + "metadata": {}, |
| 43 | + "source": [ |
| 44 | + "## 5) Now press B to create a new cell below the cursor – or A for above." |
| 45 | + ] |
| 46 | + }, |
| 47 | + { |
| 48 | + "cell_type": "markdown", |
| 49 | + "metadata": { |
| 50 | + "collapsed": true |
| 51 | + }, |
| 52 | + "source": [ |
| 53 | + "## 6) Practice step 5 a few times" |
| 54 | + ] |
| 55 | + }, |
| 56 | + { |
| 57 | + "cell_type": "markdown", |
| 58 | + "metadata": {}, |
| 59 | + "source": [ |
| 60 | + "## 7) Press ESC and use your arrow keys to highlight one of the new empty cells you created" |
| 61 | + ] |
| 62 | + }, |
| 63 | + { |
| 64 | + "cell_type": "markdown", |
| 65 | + "metadata": {}, |
| 66 | + "source": [ |
| 67 | + "## 8) Delete the empty cell by pressing d + d (be careful!)" |
| 68 | + ] |
| 69 | + }, |
| 70 | + { |
| 71 | + "cell_type": "markdown", |
| 72 | + "metadata": {}, |
| 73 | + "source": [ |
| 74 | + "## 9) Run the Python code below by highlighting the row and pressing shift + enter" |
| 75 | + ] |
| 76 | + }, |
| 77 | + { |
| 78 | + "cell_type": "code", |
| 79 | + "execution_count": 1, |
| 80 | + "metadata": {}, |
| 81 | + "outputs": [ |
| 82 | + { |
| 83 | + "name": "stdout", |
| 84 | + "output_type": "stream", |
| 85 | + "text": [ |
| 86 | + "good job!\n" |
| 87 | + ] |
| 88 | + } |
| 89 | + ], |
| 90 | + "source": [ |
| 91 | + "print(\"good job!\")" |
| 92 | + ] |
| 93 | + }, |
| 94 | + { |
| 95 | + "cell_type": "markdown", |
| 96 | + "metadata": {}, |
| 97 | + "source": [ |
| 98 | + "A few notes:\n", |
| 99 | + "\n", |
| 100 | + "- Rows can contain many different languages, today we're just using Python\n", |
| 101 | + "- We can also use Markdown in cells and display pictures, web sites, etc\n", |
| 102 | + "- When in doubt, press ESC once to exit editing mode and use your arrows, A, B, dd, etc" |
| 103 | + ] |
| 104 | + }, |
| 105 | + { |
| 106 | + "cell_type": "markdown", |
| 107 | + "metadata": {}, |
| 108 | + "source": [ |
| 109 | + "## 10) Finally, go to File > Download as > Python (.py) to save this as a Python file" |
| 110 | + ] |
| 111 | + } |
| 112 | + ], |
| 113 | + "metadata": { |
| 114 | + "kernelspec": { |
| 115 | + "display_name": "Python 3 (ipykernel)", |
| 116 | + "language": "python", |
| 117 | + "name": "python3" |
| 118 | + }, |
| 119 | + "language_info": { |
| 120 | + "codemirror_mode": { |
| 121 | + "name": "ipython", |
| 122 | + "version": 3 |
| 123 | + }, |
| 124 | + "file_extension": ".py", |
| 125 | + "mimetype": "text/x-python", |
| 126 | + "name": "python", |
| 127 | + "nbconvert_exporter": "python", |
| 128 | + "pygments_lexer": "ipython3", |
| 129 | + "version": "3.10.9" |
| 130 | + } |
| 131 | + }, |
| 132 | + "nbformat": 4, |
| 133 | + "nbformat_minor": 1 |
| 134 | +} |
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