|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "id": "d5cdbafb-2160-4a2b-a6d6-ac69e54d613e", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "<p style=\"text-align: center\">\n", |
| 9 | + " <img src=\"https://jupyterlite.readthedocs.io/en/latest/_static/wordmark.svg\" width=512>\n", |
| 10 | + "</p>" |
| 11 | + ] |
| 12 | + }, |
| 13 | + { |
| 14 | + "cell_type": "markdown", |
| 15 | + "id": "8fb76af9-a3f0-4421-a266-f4f65c4d84af", |
| 16 | + "metadata": {}, |
| 17 | + "source": [ |
| 18 | + "<br><br><br><br>" |
| 19 | + ] |
| 20 | + }, |
| 21 | + { |
| 22 | + "cell_type": "markdown", |
| 23 | + "id": "298eada0-8213-43ea-a2c9-8eac84cf92e3", |
| 24 | + "metadata": {}, |
| 25 | + "source": [ |
| 26 | + "# Lightweight Jupyter Frontend running in the browser\n", |
| 27 | + "\n", |
| 28 | + "<img src=\"https://raw.githubusercontent.com/jupyterlite/jupyterlite/main/docs/_static/badge-launch.svg\" width=128 />\n", |
| 29 | + "\n", |
| 30 | + "### ✅ no server\n", |
| 31 | + "\n", |
| 32 | + "### ✅ no command line\n", |
| 33 | + "\n", |
| 34 | + "### ✅ no need to install Python and other packages locally" |
| 35 | + ] |
| 36 | + }, |
| 37 | + { |
| 38 | + "cell_type": "markdown", |
| 39 | + "id": "897c4537-6d44-447c-a000-298f393ec295", |
| 40 | + "metadata": {}, |
| 41 | + "source": [ |
| 42 | + "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>" |
| 43 | + ] |
| 44 | + }, |
| 45 | + { |
| 46 | + "cell_type": "markdown", |
| 47 | + "id": "b6ec8f63-789e-40bd-bc7d-69776dffe5b7", |
| 48 | + "metadata": {}, |
| 49 | + "source": [ |
| 50 | + "## Boots in seconds\n", |
| 51 | + "\n", |
| 52 | + "Useful to quickly try something out: https://jupyterlite.github.io/demo/lab/index.html.\n", |
| 53 | + "\n", |
| 54 | + "<p style=\"text-align: center\">\n", |
| 55 | + " <img src=\"https://user-images.githubusercontent.com/591645/120649478-18258400-c47d-11eb-80e5-185e52ff2702.gif\">\n", |
| 56 | + "</p>" |
| 57 | + ] |
| 58 | + }, |
| 59 | + { |
| 60 | + "cell_type": "markdown", |
| 61 | + "id": "38c5d85c-d15c-451b-a418-068ef30c847e", |
| 62 | + "metadata": {}, |
| 63 | + "source": [ |
| 64 | + "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>" |
| 65 | + ] |
| 66 | + }, |
| 67 | + { |
| 68 | + "cell_type": "markdown", |
| 69 | + "id": "e3dcf01a-9ab0-4cc5-bdad-50ccf058fa3d", |
| 70 | + "metadata": {}, |
| 71 | + "source": [ |
| 72 | + "# Create your own in minutes! ⏲️\n", |
| 73 | + "\n", |
| 74 | + "## The JupyterLite Demo repo: https://github.com/jupyterlite/demo\n", |
| 75 | + "\n", |
| 76 | + "" |
| 77 | + ] |
| 78 | + }, |
| 79 | + { |
| 80 | + "cell_type": "markdown", |
| 81 | + "id": "c6e0c255-c73c-4385-a481-9c38fa66b56a", |
| 82 | + "metadata": {}, |
| 83 | + "source": [ |
| 84 | + "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>" |
| 85 | + ] |
| 86 | + }, |
| 87 | + { |
| 88 | + "cell_type": "markdown", |
| 89 | + "id": "6631e409-04c5-4d4c-bbb9-537c26657477", |
| 90 | + "metadata": {}, |
| 91 | + "source": [ |
| 92 | + "# Standing on the shoulders of giants 💁♂️\n", |
| 93 | + "\n", |
| 94 | + "## ✳️ Built from the ground-up using JupyterLab components and extensions\n", |
| 95 | + "\n", |
| 96 | + "## ✳️ The frontend communicates to the in-browser kernels via the Jupyter Protocol\n", |
| 97 | + "\n", |
| 98 | + "" |
| 99 | + ] |
| 100 | + }, |
| 101 | + { |
| 102 | + "cell_type": "markdown", |
| 103 | + "id": "56e8c83a-352a-4cf5-879c-2d2c01976d34", |
| 104 | + "metadata": {}, |
| 105 | + "source": [ |
| 106 | + "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>" |
| 107 | + ] |
| 108 | + }, |
| 109 | + { |
| 110 | + "cell_type": "markdown", |
| 111 | + "id": "c5de27a2-80dc-4814-a7ac-290f9e4ab552", |
| 112 | + "metadata": {}, |
| 113 | + "source": [ |
| 114 | + "# Working with files\n", |
| 115 | + "\n", |
| 116 | + "## ✳️ A deployment can provide a set of files and notebooks available by default \n", |
| 117 | + "## ✳️ Combine Offline Notebook storage in browser (`localStorage` or `IndexedDB`) with server files\n", |
| 118 | + "## ✳️ Read `IndexedDB` from Python" |
| 119 | + ] |
| 120 | + }, |
| 121 | + { |
| 122 | + "cell_type": "markdown", |
| 123 | + "id": "37a43870-6e41-4d7f-9520-119924d40791", |
| 124 | + "metadata": {}, |
| 125 | + "source": [ |
| 126 | + "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>" |
| 127 | + ] |
| 128 | + }, |
| 129 | + { |
| 130 | + "cell_type": "markdown", |
| 131 | + "id": "4292e49c-df57-42c5-97b2-faa500ac329a", |
| 132 | + "metadata": {}, |
| 133 | + "source": [ |
| 134 | + "# Share Files Easily\n", |
| 135 | + "\n", |
| 136 | + "<p style=\"text-align: center\">\n", |
| 137 | + " <img src=\"https://user-images.githubusercontent.com/591645/139148148-ce1ecb0e-1f1b-4d4d-ad1d-3f7200b1e7cc.png\" width=\"40%\">\n", |
| 138 | + "</p>" |
| 139 | + ] |
| 140 | + }, |
| 141 | + { |
| 142 | + "cell_type": "markdown", |
| 143 | + "id": "90c23bce-4e96-4d6a-86b6-2dd490ed1edf", |
| 144 | + "metadata": {}, |
| 145 | + "source": [ |
| 146 | + "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>" |
| 147 | + ] |
| 148 | + }, |
| 149 | + { |
| 150 | + "cell_type": "markdown", |
| 151 | + "id": "c96b8fac-76d6-40c0-a96d-70193e0c1870", |
| 152 | + "metadata": {}, |
| 153 | + "source": [ |
| 154 | + "# Real Time Collaboration via WebRTC\n", |
| 155 | + "\n", |
| 156 | + "## PyData Global 2021 Presentation by Kevin Jahns: https://www.youtube.com/watch?v=QtoJsK8QYNk\n", |
| 157 | + "\n", |
| 158 | + "\n", |
| 159 | + "<p style=\"text-align: center\">\n", |
| 160 | + " <img src=\"https://user-images.githubusercontent.com/591645/120653630-2b3a5300-c481-11eb-8c66-eeaa3674cbb1.gif\" width=\"100%\">\n", |
| 161 | + "</p>" |
| 162 | + ] |
| 163 | + }, |
| 164 | + { |
| 165 | + "cell_type": "markdown", |
| 166 | + "id": "832ce472-82d6-454a-aed7-6cc55cd702d5", |
| 167 | + "metadata": {}, |
| 168 | + "source": [ |
| 169 | + "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>" |
| 170 | + ] |
| 171 | + }, |
| 172 | + { |
| 173 | + "cell_type": "markdown", |
| 174 | + "id": "599f87b0-fe45-4820-8a18-611b17fcc650", |
| 175 | + "metadata": {}, |
| 176 | + "source": [ |
| 177 | + "# Limitations\n", |
| 178 | + "\n", |
| 179 | + "## ❇️ Suited for lighter workloads\n", |
| 180 | + "\n", |
| 181 | + "## ❇️ `micropip` / `piplite` to install packages\n", |
| 182 | + "\n", |
| 183 | + "- Pure Python wheels for now (up until Pyodide 0.19 at least)\n", |
| 184 | + "- This would be improved by the on-going work by leveraging the conda forge tooling. \n", |
| 185 | + "\n", |
| 186 | + "## ❇️ Accessing files from the Python kernel\n", |
| 187 | + "\n", |
| 188 | + "## ❇️ Initial asset download can be big (~30MB), then cached by the browser" |
| 189 | + ] |
| 190 | + }, |
| 191 | + { |
| 192 | + "cell_type": "markdown", |
| 193 | + "id": "27d2211c-e64a-4bbf-b410-4396a5c289e4", |
| 194 | + "metadata": {}, |
| 195 | + "source": [ |
| 196 | + "< [So easy, *voilà*!](08.01-voila-basics.ipynb) | [Contents](00.00-index.ipynb) |" |
| 197 | + ] |
| 198 | + } |
| 199 | + ], |
| 200 | + "metadata": { |
| 201 | + "kernelspec": { |
| 202 | + "display_name": "Python 3 (ipykernel)", |
| 203 | + "language": "python", |
| 204 | + "name": "python3" |
| 205 | + }, |
| 206 | + "language_info": { |
| 207 | + "codemirror_mode": { |
| 208 | + "name": "ipython", |
| 209 | + "version": 3 |
| 210 | + }, |
| 211 | + "file_extension": ".py", |
| 212 | + "mimetype": "text/x-python", |
| 213 | + "name": "python", |
| 214 | + "nbconvert_exporter": "python", |
| 215 | + "pygments_lexer": "ipython3", |
| 216 | + "version": "3.9.13" |
| 217 | + } |
| 218 | + }, |
| 219 | + "nbformat": 4, |
| 220 | + "nbformat_minor": 5 |
| 221 | +} |
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