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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "danish-perfume",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "# Introduction to Notebooks and Jupyter\n",
+ "\n",
+ "Etienne Kornobis, Bertrand Néron, François Laurent\n",
+ "\n",
+ "2021/09/27\n",
+ "Institut Pasteur"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "successful-hampshire",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## The concept of literate programming\n",
+ ">*Literate programming: Instead of imagining that our main task is to instruct a\n",
+ ">computer what to do, let us concentrate rather on explaining to human beings\n",
+ ">what we want a computer to do.*\n",
+ "\n",
+ "<img src=\"images/donald_knuth.png\" style=\"width: 20%;\" align=\"left\" margin:0 auto/>\n",
+ "\n",
+ "Donald Knuth (1984)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "valued-royal",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## The concept of notebook\n",
+ "\n",
+ "A single place where live happily together:\n",
+ "- code\n",
+ "- documentation\n",
+ "- reasoning\n",
+ "- visualizations"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "relative-settlement",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Many flavors of notebooks\n",
+ "\n",
+ "Many technologies have been developed in this direction:\n",
+ "\n",
+ "- Jupyter: https://jupyter.org/\n",
+ "- R Markdown: https://rmarkdown.rstudio.com/\n",
+ "- Apache zeppelin: https://zeppelin.apache.org/\n",
+ "- Google Colaboratory: https://colab.research.google.com\n",
+ "- Observable (client-side): https://observablehq.com/\n",
+ "- Spark notebooks (http://spark-notebook.io/)\n",
+ "- Beaker (engulfed by Jupyter)\n",
+ "- ..."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "hungry-developer",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Caveats\n",
+ "- Notebooks downsides:\n",
+ " - Can be cumbersome (cell order execution...), not necessarily good as first entry point in Programming\n",
+ " - Beware of bad coding practices (no proper module/library design)\n",
+ " - Difficult for source control\n",
+ " - Testability\n",
+ " \n",
+ "But these issues are currently addressed !"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "international-measurement",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Why choosing Jupyter\n",
+ "\n",
+ "- 40+ languages supported\n",
+ "- Extensibility\n",
+ "- Community\n",
+ "- Recognized and pretty formatted by GitLab and GitHub"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "composite-insulin",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## The main idea of Jupyter <img src=\"images/jupyter.png\" style=\"width: 20%\" align=\"right\" margin:0 auto/>\n",
+ "\n",
+ "An open-source web application to interactively represent a single json file where live happily together:\n",
+ "- code\n",
+ "- documentation\n",
+ "- reasoning\n",
+ "- visualizations (simple and interactive)\n",
+ "\n",
+ "Feature overview:\n",
+ "- Easy sharing\n",
+ "- Multitude of export: interactive notebook, voilà dashboard, html blog, presentation, or simple script.\n",
+ "- the future of scientific article publication (at least in programming related fields)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "naughty-kazakhstan",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Many IDE flavors for jupyter notebooks\n",
+ "\n",
+ "- Jupyter notebook (+ extensions)\n",
+ "- Jupyter lab (+ extensions)\n",
+ "- nteract\n",
+ "- Your own editor (visual studio code / pycharm / jupytext / Emacs modes ...)\n",
+ "\n",
+ "Jupyter lab is the main IDE for Jupyter now but:\n",
+ "- extensions do not necessarily work for both Jupyter notebook and lab\n",
+ "- Nice features in nteract but cannot use previous extensions"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "joined-landing",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Setup\n",
+ "### Locally\n",
+ "\n",
+ "https://jupyter.org/install\n",
+ "\n",
+ "- Using conda (recommended on jupyter website)\n",
+ "\n",
+ "```conda env create -n jupyter jupyterlab```\n",
+ "\n",
+ "- Using pip\n",
+ "\n",
+ "```pip install jupyterlab```\n",
+ "\n",
+ "### On tars\n",
+ "\n",
+ "Check https://confluence.pasteur.fr/display/FAQA/How+to+use+Jupyter-Notebook+on+the+cluster"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "decreased-window",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "## Exporting/sharing:\n",
+ "`jupyter nbconvert` to:\n",
+ "- HTML\n",
+ "- LaTeX\n",
+ "- PDF\n",
+ "- Reveal JS\n",
+ "- Markdown (md)\n",
+ "- ReStructured Text (rst)\n",
+ "- executable script\n",
+ "\n",
+ "JupyterHub https://jupyter.org/hub\n",
+ "\n",
+ "Binder https://gke.mybinder.org/\n",
+ "\n",
+ "Github/Gitlab formatting. Ex: https://gitlab.com/khourhin/reproducibility/blob/master/code/analysis_framework/analysis.ipynb"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "demonstrated-poultry",
+ "metadata": {},
+ "source": [
+ "## Overview"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "lightweight-latex",
+ "metadata": {},
+ "source": [
+ "### Markdown \n",
+ "\n",
+ "In order to provide clear explanations within your analysis notebooks, you can:\n",
+ "\n",
+ "- Use *classical* **markdown** ~~eye candy~~ `features` \n",
+ "\n",
+ "- Include mathematical expressions:\n",
+ "\n",
+ "$$e^x=\\sum_{i=0}^\\infty \\frac{1}{i!}x^i$$\n",
+ "\n",
+ "- code snippets in quoteblocks:\n",
+ "\n",
+ ">```python\n",
+ ">x = 42\n",
+ ">print(f\"The answer is {x}\")\n",
+ ">```\n",
+ "\n",
+ "- Links: [More on markdown](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet)\n",
+ "\n",
+ "- Insert pictures as markdown or html: <img src=\"images/ada_lovelace.png\" width=\"20%\" align=\"right\"/>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "important-launch",
+ "metadata": {},
+ "source": [
+ "### Code examples"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "significant-prison",
+ "metadata": {},
+ "source": [
+ "#### Python"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "loose-shame",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Hello Reproducibility\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(\"Hello Reproducibility\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "chronic-lyric",
+ "metadata": {},
+ "source": [
+ "#### Bash"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "studied-accent",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "yes\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%bash\n",
+ "\n",
+ "echo \"yes\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "political-machinery",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "yes\n"
+ ]
+ }
+ ],
+ "source": [
+ "! echo \"yes\""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "herbal-budget",
+ "metadata": {},
+ "source": [
+ "#### Julia"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "naval-tsunami",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Here comes Julia !\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%script julia\n",
+ "\n",
+ "println(\"Here comes Julia !\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "offensive-separation",
+ "metadata": {},
+ "source": [
+ "#### NB\n",
+ "\n",
+ "Making a single notebook with multiple languages is not necessarily easy, especially to pass variables (for example: R cells with a python kernel)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "alternate-housing",
+ "metadata": {},
+ "source": [
+ "### Inline plotting"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "educated-superintendent",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "brilliant-resolution",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "mi_df = pd.read_csv(\"../data/mi.csv\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "cleared-federal",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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IiQ+Qmpl1zAkqR76auZlZ+9zFZ2ZmheQEZWZmheQEZWZmheQElSNf6sisuvk3oGMeJJETX+rIrLr5N6BzbkHlxJc6Mqtu/g3oXFkJStInJC2R9Iikc9O8YZLulPRYet6tIpH2M77UkVl1829A53qcoCSNAf4dOAo4FHiHpP2BacCiiNgfWJSmrRVf6sisuvk3oHPltKBqgXsi4q8RsRn4OfBOYAIwJ60zBzi1rAj7KV/qyKy6+Tegc4qInr1RqgVuAY4GNpK1lu4D3h8Ru5as91xEbNXNJ2kKMAWgpqbmiBtuuKFHcfRlixYt4rrrrmPFihWMGjWKM888k/Hjx+cdlm1jGzZsYMiQIXmHYTnwb0CmoaHh/oioaz2/xwkKQFIj8HFgA/AoWaL6UFcSVKm6urq47777ehxHX+dLHVU373+r9u+ApDYTVFmDJCJidkQcHhHHAuuAx4A1kkakSkcAa8upw8zMqlNZ50FJGh4RayWNAt5F1t33BmAyMDM931J2lH2YpIqWV06L18ysLyn3PKibJD0K/Aj4eEQ8R5aYTpD0GHBCmq5aEdHpY9/zF3ZpPScnM6smZbWgIuLNbcx7Fqi+o3xmZlZRvpKEmZkVkhOUmZkVkhOUmZkVkhOUmVlOpk6dyuDBg2loaGDw4MFMnTo175AKxbfbMDPLwdSpU7n88su55JJLOPjgg3n00Uc5//zzAbj00ktzjq4YnKDMzHJw5ZVXMnbsWC688EI2bdrEDjvswNixY7nyyiudoBInKDOzHGzatIl77rmHr3zlK6+0oD772c+yZcuWvEMrDB+DMjPLyUknncR5553H4MGDOe+88zjppJPyDqlQ3IIyM8vJwoUL2XPPPVm7di3Dhw/n6aefzjukQnGCMjPLwaBBgxg4cCDr1q0jIli3bh3bbbedu/hKuIvPzCwHQ4cO5eWXX2bmzJncdtttzJw5k5dffpmhQ4fmHVphuAVlZpaD9evXc9ZZZ71mFN9ZZ53FFVdckXdoheEWlJlZDmpra5k4cSIvvfQSTU1NvPTSS0ycOJHa2tq8QysMJygzsxxMnz6dxsZGmpqa2Lx5M01NTTQ2NjJ9+vS8QysMd/GZmfWSrtyw9C1vectrps844wzOOOOMNtettnvCuQVlZtZLunoj0q7etLTaOEGZmVkhOUGZmVkhOUGZmVkhlZWgJH1S0iOSlkiaK2mwpGGS7pT0WHrerVLBmplZ9ehxgpK0F3AOUBcRY4CBwOnANGBRROwPLErTZmZm3VJuF98gYEdJg4CdgFXABGBOWj4HOLXMOszMrAr1OEFFxJ+BrwErgNXAXyLiDqAmIlandVYDwysRqJmZVZcen6ibji1NAN4ArAe+L+nMbrx/CjAFoKamhubm5p6G0i9U+/b3Vw0NDRUtr6mpqaLlWXH4N2Br5VxJ4nhgWUQ8DSDpB8C/AGskjYiI1ZJGAGvbenNEzAJmAdTV1UV9fX0ZofRxt99KVW9/P9aVkytHT7uV5TN9o7qq5t+ANpVzDGoF8M+SdlJ2PY/xwFJgATA5rTMZuKW8EM3MrBr1uAUVEfdKuhF4ANgMPEjWIhoCzJfUSJbEJlYiUDMzqy5lXSw2Ii4CLmo1exNZa8rMzKzHfCUJMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrJCcoMzMrpB4nKEkHSnqo5PG8pHMlDZN0p6TH0vNulQzYzMyqQ48TVET8PiIOi4jDgCOAvwI3A9OARRGxP7AoTZuZmXVLpbr4xgN/iogngAnAnDR/DnBqheowM7MqMqhC5ZwOzE2vayJiNUBErJY0vK03SJoCTAGoqamhubm5QqH0TdW+/dXO+9/8Hdha2QlK0vbAKcAF3XlfRMwCZgHU1dVFfX19uaH0XbffSlVvf7Xz/jd/B9pUiS6+fwUeiIg1aXqNpBEA6XltBeowM7MqU4kuvkm82r0HsACYDMxMz7dUoI7COfTzd/CXjS9XrLzR026tWFm77LgdD190YsXKMzPLQ1kJStJOwAnAWSWzZwLzJTUCK4CJ5dRRVH/Z+DLLZ55UkbKam5sr2ryvZLIzM8tLWQkqIv4KvL7VvGfJRvWZmZn1mK8kYWZmheQEZWZmheQEZWZmheQEZWZmheQEZWZmheQEZWZmheQEZWZmheQEZWZmhVSpq5mbmVWNSl/qDCp3BZj+dKkzJygzs26q5KXOoLKXO+tPlzpzF5+ZmRWSE5SZmRWSu/jMesC3WzHrfU5QZj3g262Y9T538ZmZWSE5QZmZWSE5QZmZWSE5QZmZWSE5QZmZWSGVNYpP0q7A94AxQAAfBn4PzANGA8uB90TEc+XUU0Q7107jkDnTKlfgnMoVtXMtQOXOcjczy0O5w8y/BdweEadJ2h7YCbgQWBQRMyVNA6YB55dZT+G8sHSmhxmbmfWiHnfxSRoKHAvMBoiIv0XEemACr7YH5gCnlheimZlVo3JaUPsBTwNXSzoUuB/4BFATEasBImK1pOFtvVnSFGAKQE1NDc3NzWWEko9Kxbxhw4aKb39f/Dz7Gu//6lbJz7jS34F+s/8jokcPoA7YDIxN098CvgCsb7Xec52VdcQRR0Rfs+/5CytWVlNTU8XKiqhsbNY27//qVunPuJLfgb64/4H7oo3cUM4ovpXAyoi4N03fCBwOrJE0AiA9ry2jDjMzq1I9TlAR8RTwpKQD06zxwKPAAmBymjcZuKWsCM3MrCqVO4pvKvC/aQTf48CHyJLefEmNwApgYpl1mJkVSsVPM4GKnWrSn04zKStBRcRDZMeiWhtfTrlmZkVWydNMwHfUbY+vJGFmZoXkBGVmZoXkGxaa9YAvdWXW+5ygzHrAl7oy633u4jMzs0JygjIzs0JygjIzs0JygjIzs0LyIIkyVPRg9O2VK2uXHberWFlmZnlxguqhSp5FPnrarRUtz8ysP3AXn5mZFZITlJmZFZITlJmZFZITlJmZFZIHSZiZ9UDFLylVoZG8/WkUrxOUWQ/5NIPqVelRtx7J2zYnKLMe8GkGZr3Px6DMzKyQnKDMzKyQyurik7QceAHYAmyOiDpJw4B5wGhgOfCeiHiuvDDNzKzaVKIF1RARh0VEXZqeBiyKiP2BRWnazMysW3qji28Cr97Aeg5wai/UYWZm/Vy5o/gCuENSAFdExCygJiJWA0TEaknD23qjpCnAFICamhqam5vLDKVvq/btr3be/+bvwNbKTVDHRMSqlITulPS7rr4xJbNZAHV1dVFfX19mKH3Y7bdS1dtf7bz/zd+BNpXVxRcRq9LzWuBm4ChgjaQRAOl5bblBmplZ9elxgpL0Okk7t7wGTgSWAAuAyWm1ycAt5QZpZmbVp5wuvhrgZkkt5VwfEbdL+jUwX1IjsAKYWH6YZmZWbXqcoCLiceDQNuY/C4wvJygzMzNfScLMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzAqp7AQlaaCkByUtTNPDJN0p6bH0vFv5YZqZWbWpRAvqE8DSkulpwKKI2B9YlKbNzMy6pawEJWlv4CTgeyWzJwBz0us5wKnl1GFmZtVpUJnv/ybwWWDnknk1EbEaICJWSxre1hslTQGmANTU1NDc3FxmKMXU0NDQpfV0SdfKa2pqKiMa29a8/62r+utvYDl6nKAkvQNYGxH3S6rv7vsjYhYwC6Curi7q67tdRJ8QEZ2u09zcTH/d/mrn/W9dcvut/g60oZwW1DHAKZLeDgwGhkq6DlgjaURqPY0A1lYiUDMzqy49PgYVERdExN4RMRo4HfhZRJwJLAAmp9UmA7eUHaWZmVWd3jgPaiZwgqTHgBPStJmZWbeUO0gCgIhoBprT62eB8ZUo18zMqpevJGFmZoXkBGVmZoXkBGVmZoVUkWNQZma2NUldX7cLJ2t35by6/sQtKDOzXhIRXXo0NTV1ab1q4wRlZmaF5ARlZmaF5ARlZmaF5ARlZmaF5ARlZmaF5ARlZmaF5ARlZmaFpCKMrZf0NPBE3nHkaHfgmbyDsNx4/1u1fwf2jYg9Ws8sRIKqdpLui4i6vOOwfHj/m78DbXMXn5mZFZITlJmZFZITVDHMyjsAy5X3v/k70AYfgzIzs0JyC8rMzArJCcrMzArJCarCJL1TUkg6qJP1zpW0U8n0jyXt2usBWq4kbZH0UMljWt4xWeWkv/2vl0x/WtLFOYbUp/kYVIVJmg+MABZFxMUdrLccqIuIaj45r+pI2hARQ/KOw3qHpJeA1cCREfGMpE8DQzr6LSizvkERsbk3yi4Ct6AqSNIQ4BigETg9zRso6WuSfivpN5KmSjoHGAk0SWpK6y2XtLukSyR9rKTMiyV9Kr3+jKRfp3I+v8030HqFpF0k/V7SgWl6rqR/zzsu65HNZCPyPtl6gaQ9JN2U/oZ/LekYSQPS3/6uJev9UVJNW+un5RdLmiXpDuDabbVheRiUdwD9zKnA7RHxB0nrJB0OjAXeAPxTRGyWNCwi1kk6D2hoowV1A/BN4Ltp+j3A2ySdCOwPHAUIWCDp2Ii4q/c3yypoR0kPlUx/OSLmSTobuEbSt4DdIuLKfMKzCvgO8BtJX2k1/1vANyJisaRRwE8iolbSLcA7gasljQWWR8QaSde3Xh+oTWUdAYyLiI3bZpPy4QRVWZPIkgtkiWYSsB9weUszPCLWdVRARDwoabikkcAewHMRsSK1uk4EHkyrDiFLWE5QfcvGiDis9cyIuFPSRLIft0O3eVRWMRHxvKRrgXOA0gRyPHCwpJbpoZJ2BuYB/wFcTdbzMq+T9QEW9PfkBE5QFSPp9cBbgDGSAhgIBHB/eu6OG4HTgD3JEh1kraYvR8QVlYnYikTSALL/jjcCw4CV+UZkZfom8ABZ0mkxADi6dWKRdDfwRkl7kPXCfLGT9QFe7JWoC8bHoCrnNODaiNg3IkZHxD7AMrIv6UckDQKQNCyt/wKwc9tFcQPZf1KnkSUryJr3H07HuZC0l6ThvbMploNPAkvJWt1XSdou53isDKmnZD7Z8egWdwBnt0xIOiytG8DNwH8BSyPi2Y7WryZOUJUziexLVuomssEQK8j6pB8GzkjLZgG3tQySKBURj5Alrz9HxOo07w7geuBuSb8lS1ztJTgrrh1bDTOfKekA4N+AT0XEL8i6bT+Xb5hWAV8nu41Gi3OAujTI6VHgIyXL5gFn8mr3XmfrVwUPMzczs0JyC8rMzArJCcrMzArJCcrMzArJCcrMzArJCcrMzArJCcqsmyRNl/RIGv77ULo8TTnl1Uta2Mb8U3y1c6tmvpKEWTdIOhp4B3B4RGyStDuwfW/UFRELgAW9UbZZX+AWlFn3jACeiYhNABHxTESsSlek/pKkuyXdJ+lwST+R9CdJHwFQ5quSlqSr27+3deGSjpT0oKT9JH1Q0mVp/jWSvi3pl5Iel3Ramj9A0ndTi26hsvuKnbYNPw+zXuMEZdY9dwD7SPpDSgzHlSx7MiKOBn4BXEN2qap/Bv4zLX8XcBjZxWCPB74qaUTLmyX9C3A5MCEiHm+j7hHAOLIW3MySMkcDh5BdjeLo8jfRrBjcxWfWDRGxQdIRwJuBBmBeyXGilu6435LdpO4F4AVJL6X7/YwD5kbEFmCNpJ8DRwLPk10odhZwYkSsaqf6H0bE34FHJdWkeeOA76f5T7V16SyzvsoJyqybUoJpBprTdREnp0Wb0vPfS163TA8iuyJ9e1YDg4F/AtpLUKVlqtWzWb/jLj6zbpB0oKT9S2YdBjzRxbffBbxX2V2W9wCOBX6Vlq0HTgK+JKm+GyEtBt6djkXVAN15r1mhuQVl1j1DgEtTl91m4I/AFLLjQp25mewY0cNk9wj7bEQ8JekggHQX1ZPJrnL/4S7GcxMwHlgC/AG4F/hL1zfHrLh8NXOzPk7SkHRs7PVkLbJjIuKpvOMyK5dbUGZ938LUotse+IKTk/UXbkGZmVkheZCEmZkVkhOUmZkVkhOUmZkVkhOUmZkVkhOUmZkV0v8Br9HydOZfGqcAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "mi_df.boxplot(column=\"HeartRate\", by=\"Smoking\")\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "id": "knowing-design",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<AxesSubplot:xlabel='Smoking', ylabel='HeartRate'>"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.boxplot(x='Smoking', y='HeartRate', data=mi_df)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "blessed-french",
+ "metadata": {},
+ "source": [
+ "### Interactivity\n",
+ "\n",
+ "There is a lot of option to produce interactive reports using jupyter notebooks, for example:\n",
+ "- Plotly/Dash\n",
+ "- Bokeh\n",
+ "- ipython widgets\n",
+ "- voila\n",
+ "- ..."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "hungarian-version",
+ "metadata": {},
+ "source": [
+ "#### Ipywidgets"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "economic-stomach",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import ipywidgets as widgets\n",
+ "from ipywidgets import interact\n",
+ "from pathlib import Path\n",
+ "from IPython.display import Image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "silver-christmas",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "13494bc736e149c4b411b52881ed7b8e",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "interactive(children=(IntSlider(value=20, description='x', max=60, min=-20), Output()), _dom_classes=('widget-…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "@interact\n",
+ "def filter_age(x=20):\n",
+ " return mi_df.loc[mi_df.Age < x]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "id": "independent-cancer",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "75e21fcb22dd4ed7bef50c62c0e4eb23",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "interactive(children=(Dropdown(description='file', options=(PosixPath('images/example_anova_workflow.png'), Po…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "@interact\n",
+ "def show_images(file=Path(\"images\").glob(\"*.png\")):\n",
+ " display(Image(file))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "engaged-congo",
+ "metadata": {},
+ "source": [
+ "#### Plotly"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "nominated-bench",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from plotly import express as px"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "awful-delaware",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.plotly.v1+json": {
+ "config": {
+ "plotlyServerURL": "https://plot.ly"
+ },
+ "data": [
+ {
+ "hovertemplate": "x=%{x}<br>index=%{y}<extra></extra>",
+ "legendgroup": "",
+ "marker": {
+ "color": "#636efa",
+ "symbol": "circle"
+ },
+ "mode": "markers",
+ "name": "",
+ "orientation": "h",
+ "showlegend": false,
+ "type": "scatter",
+ "x": [
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",
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+ "metadata": {},
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+ }
+ ],
+ "source": [
+ "px.scatter(mi_df.Age, mi_df.BMI)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "equal-water",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "### Much more features\n",
+ "\n",
+ "- Virtual environment support: venv and conda environment\n",
+ "- Presentations (Reveal.js and Rise)\n",
+ "- ..."
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python [conda env:dev]",
+ "language": "python",
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