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Merge pull request #51 from takacszs/devel
Add JupyterLab tutorial
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tutorials/jupyterlab/examples/list-of-python-packages.ipynb
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| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "leading-clock", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "!pip list" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "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": "3.6.9" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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tutorials/jupyterlab/examples/what-is-the-jupyter-notebook.ipynb
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|---|---|---|
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| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": { | ||
| "slideshow": { | ||
| "slide_type": "slide" | ||
| } | ||
| }, | ||
| "source": [ | ||
| "# What is the Jupyter Notebook?" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "## Introduction" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "The Jupyter Notebook is an **interactive computing environment** that enables users to author notebook documents that include: \n", | ||
| "- Live code\n", | ||
| "- Interactive widgets\n", | ||
| "- Plots\n", | ||
| "- Narrative text\n", | ||
| "- Equations\n", | ||
| "- Images\n", | ||
| "- Video\n", | ||
| "\n", | ||
| "These documents provide a **complete and self-contained record of a computation** that can be converted to various formats and shared with others using email, [Dropbox](https://www.dropbox.com/), version control systems (like git/[GitHub](https://github.com)) or [nbviewer.jupyter.org](https://nbviewer.jupyter.org)." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": { | ||
| "slideshow": { | ||
| "slide_type": "slide" | ||
| } | ||
| }, | ||
| "source": [ | ||
| "### Components" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "The Jupyter Notebook combines three components:\n", | ||
| "\n", | ||
| "* **The notebook web application**: An interactive web application for writing and running code interactively and authoring notebook documents.\n", | ||
| "* **Kernels**: Separate processes started by the notebook web application that runs users' code in a given language and returns output back to the notebook web application. The kernel also handles things like computations for interactive widgets, tab completion and introspection. \n", | ||
| "* **Notebook documents**: Self-contained documents that contain a representation of all content visible in the notebook web application, including inputs and outputs of the computations, narrative\n", | ||
| "text, equations, images, and rich media representations of objects. Each notebook document has its own kernel." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": { | ||
| "slideshow": { | ||
| "slide_type": "slide" | ||
| } | ||
| }, | ||
| "source": [ | ||
| "## Notebook web application" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "The notebook web application enables users to:\n", | ||
| "\n", | ||
| "* **Edit code in the browser**, with automatic syntax highlighting, indentation, and tab completion/introspection.\n", | ||
| "* **Run code from the browser**, with the results of computations attached to the code which generated them.\n", | ||
| "* See the results of computations with **rich media representations**, such as HTML, LaTeX, PNG, SVG, PDF, etc.\n", | ||
| "* Create and use **interactive JavaScript widgets**, which bind interactive user interface controls and visualizations to reactive kernel side computations.\n", | ||
| "* Author **narrative text** using the [Markdown](https://daringfireball.net/projects/markdown/) markup language.\n", | ||
| "* Include mathematical equations using **LaTeX syntax in Markdown**, which are rendered in-browser by [MathJax](https://www.mathjax.org/)." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": { | ||
| "slideshow": { | ||
| "slide_type": "slide" | ||
| } | ||
| }, | ||
| "source": [ | ||
| "## Kernels" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Through Jupyter's kernel and messaging architecture, the Notebook allows code to be run in a range of different programming languages. For each notebook document that a user opens, the web application starts a kernel that runs the code for that notebook. Each kernel is capable of running code in a single programming language and there are kernels available in the following languages:\n", | ||
| "\n", | ||
| "* Python(https://github.com/ipython/ipython)\n", | ||
| "* Julia (https://github.com/JuliaLang/IJulia.jl)\n", | ||
| "* R (https://github.com/IRkernel/IRkernel)\n", | ||
| "* Ruby (https://github.com/minrk/iruby)\n", | ||
| "* Haskell (https://github.com/gibiansky/IHaskell)\n", | ||
| "* Scala (https://github.com/Bridgewater/scala-notebook)\n", | ||
| "* node.js (https://gist.github.com/Carreau/4279371)\n", | ||
| "* Go (https://github.com/takluyver/igo)\n", | ||
| "\n", | ||
| "The default kernel runs Python code. The notebook provides a simple way for users to pick which of these kernels is used for a given notebook. \n", | ||
| "\n", | ||
| "Each of these kernels communicate with the notebook web application and web browser using a JSON over ZeroMQ/WebSockets message protocol that is described [here](https://jupyter-client.readthedocs.io/en/latest/messaging.html#messaging). Most users don't need to know about these details, but it helps to understand that \"kernels run code.\"" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": { | ||
| "slideshow": { | ||
| "slide_type": "slide" | ||
| } | ||
| }, | ||
| "source": [ | ||
| "## Notebook documents" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Notebook documents contain the **inputs and outputs** of an interactive session as well as **narrative text** that accompanies the code but is not meant for execution. **Rich output** generated by running code, including HTML, images, video, and plots, is embeddeed in the notebook, which makes it a complete and self-contained record of a computation. " | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "When you run the notebook web application on your computer, notebook documents are just **files on your local filesystem with a `.ipynb` extension**. This allows you to use familiar workflows for organizing your notebooks into folders and sharing them with others." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Notebooks consist of a **linear sequence of cells**. There are three basic cell types:\n", | ||
| "\n", | ||
| "* **Code cells:** Input and output of live code that is run in the kernel\n", | ||
| "* **Markdown cells:** Narrative text with embedded LaTeX equations\n", | ||
| "* **Raw cells:** Unformatted text that is included, without modification, when notebooks are converted to different formats using nbconvert\n", | ||
| "\n", | ||
| "Internally, notebook documents are **[JSON](https://en.wikipedia.org/wiki/JSON) data** with **binary values [base64](https://en.wikipedia.org/wiki/Base64)** encoded. This allows them to be **read and manipulated programmatically** by any programming language. Because JSON is a text format, notebook documents are version control friendly.\n", | ||
| "\n", | ||
| "**Notebooks can be exported** to different static formats including HTML, reStructeredText, LaTeX, PDF, and slide shows ([reveal.js](https://revealjs.com)) using Jupyter's `nbconvert` utility.\n", | ||
| "\n", | ||
| "Furthermore, any notebook document available from a **public URL or on GitHub can be shared** via [nbviewer](https://nbviewer.jupyter.org). This service loads the notebook document from the URL and renders it as a static web page. The resulting web page may thus be shared with others **without their needing to install the Jupyter Notebook**." | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "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": "3.7.2" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 1 | ||
| } |
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| infra_name: jupyterlab | ||
| user_id: somebody@somewhere | ||
|
|
||
| variables: | ||
| username_jupyterlab: jovyan | ||
| pwd_jupyterlab: lpds | ||
|
|
||
| nodes: | ||
| - &M | ||
| name: jupyterlab | ||
| type: jupyterlab_node |
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