{ "cells": [ { "cell_type": "code", "execution_count": null, "idx_": 0, "metadata": {}, "outputs": [], "source": [ "#hide\n", "! [ -e /content ] && pip install -Uqq fastbook\n", "import fastbook\n", "fastbook.setup_book()" ] }, { "cell_type": "code", "execution_count": null, "idx_": 1, "metadata": {}, "outputs": [], "source": [ "from fastbook import *" ] }, { "cell_type": "markdown", "idx_": 3, "metadata": {}, "source": [ "# Appendix: Jupyter Notebook 101" ] }, { "cell_type": "markdown", "idx_": 5, "metadata": {}, "source": [ "## Introduction" ] }, { "cell_type": "code", "execution_count": null, "idx_": 7, "metadata": {}, "outputs": [], "source": [ "1+1" ] }, { "cell_type": "markdown", "idx_": 9, "metadata": {}, "source": [ "## Writing" ] }, { "cell_type": "code", "execution_count": null, "idx_": 13, "metadata": {}, "outputs": [], "source": [ "3/2" ] }, { "cell_type": "markdown", "idx_": 14, "metadata": {}, "source": [ "## Modes" ] }, { "cell_type": "markdown", "idx_": 16, "metadata": {}, "source": [ "## Other Important Considerations" ] }, { "cell_type": "markdown", "idx_": 19, "metadata": {}, "source": [ "## Markdown Formatting\n" ] }, { "cell_type": "markdown", "idx_": 20, "metadata": {}, "source": [ "### Italics, Bold, Strikethrough, Inline, Blockquotes and Links" ] }, { "cell_type": "markdown", "idx_": 22, "metadata": {}, "source": [ "### Headings" ] }, { "cell_type": "markdown", "idx_": 24, "metadata": {}, "source": [ "### Lists" ] }, { "cell_type": "markdown", "idx_": 26, "metadata": {}, "source": [ "## Code Capabilities" ] }, { "cell_type": "code", "execution_count": null, "idx_": 28, "metadata": {}, "outputs": [], "source": [ "# Import necessary libraries\n", "from fastai.vision.all import * \n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": null, "idx_": 29, "metadata": {}, "outputs": [], "source": [ "from PIL import Image" ] }, { "cell_type": "code", "execution_count": null, "idx_": 30, "metadata": {}, "outputs": [], "source": [ "a = 1\n", "b = a + 1\n", "c = b + a + 1\n", "d = c + b + a + 1\n", "a, b, c ,d" ] }, { "cell_type": "code", "execution_count": null, "idx_": 31, "metadata": {}, "outputs": [], "source": [ "plt.plot([a,b,c,d])\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "idx_": 33, "metadata": {}, "outputs": [], "source": [ "Image.open(image_cat())" ] }, { "cell_type": "markdown", "idx_": 34, "metadata": {}, "source": [ "## Running the App Locally" ] }, { "cell_type": "markdown", "idx_": 36, "metadata": {}, "source": [ "## Creating a Notebook" ] }, { "cell_type": "markdown", "idx_": 38, "metadata": {}, "source": [ "## Shortcuts and Tricks" ] }, { "cell_type": "markdown", "idx_": 40, "metadata": {}, "source": [ "### Command Mode Shortcuts" ] }, { "cell_type": "markdown", "idx_": 42, "metadata": {}, "source": [ "### Cell Tricks" ] }, { "cell_type": "markdown", "idx_": 44, "metadata": {}, "source": [ "### Line Magics" ] }, { "cell_type": "code", "execution_count": null, "idx_": 46, "metadata": {}, "outputs": [], "source": [ "%timeit [i+1 for i in range(1000)]" ] } ], "metadata": { "kernelspec": { "display_name": "python3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 2, "path_": "app_jupyter.ipynb" }