Jupyter

https://jupyter.org/
Project Jupyter

https://ipython.org/
IPython. Interactive Computing

https://en.wikipedia.org/wiki/Notebook_interface

https://wiki.debian.org/Jupyter

https://snapcraft.io/install/jupyter/debian
How to install Project Jupyter on Debian
(1) Enable snapd
(2) Install Project Jupyter (sudo snap install jupyter)

https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
Markdown Cheatsheet by Adam Pritchard

INTRODUCTION

The name 'Jupyter' referred to 'Julia', 'Python' and 'R', the initial languages which were implemented.

'IPython' (Interactive Python) provides a rich architecture for interactive computing in Python.

'Project Jupyter' is a spin-off project from IPython. It consists of the notebook and other language-agnostic parts of IPython. It supports execution environments in several dozen languages (Python, Julia, R, C++, Scheme, Ruby).

'Jupyter Notebook' is a web-based interactive computational environment for creating Jupyter notebook documents (JSON documents). The notebook interface is used for various computational back ends (Mathematica, MATLAB, Maple, Python, Julia, Scala). A Jupyter Notebook can be converted to a number of open standard output formats (HTML, presentation slides, LaTeX, PDF, ReStructuredText, Markdown, Python).

'JupyterLab' is the next-generation web-based user interface for Project Jupyter.

An interactive session in Jupyter consists of a 'frontend' (the console, GUI or web interface in which code is entered and results displayed), and a 'kernel' (the process responsible for executing your code). The frontend and kernel communicate using the ZMQ messaging library.

INSTALLING JUPYTER IN LINUX

Three methods are available:
(1) apt (Debian),
(2) snap package,
(3) conda (Anaconda).

# Debian 10 packages: python-notebook (Python 2), python3-notebook (Python 3),
# jupyter-notebook (5.7.8-1), jupyter-core.
# /etc/jupyter/nbconfig - a directory with JSON files
# ~/.jupyter - a directory with user config files

$ jupyter-notebook   # run Jupyter, http://localhost:8888/tree
[I 14:11:02.183 NotebookApp] Writing notebook server cookie secret to /run/user/1000/jupyter/notebook_cookie_secret
[I 14:11:02.255 NotebookApp] Serving notebooks from local directory: /home/andrzej
[I 14:11:02.255 NotebookApp] The Jupyter Notebook is running at:
[I 14:11:02.256 NotebookApp] http://localhost:8888/?token=07117ae22d91019e6deff959a75a3ce78bc13b977178201e
[I 14:11:02.256 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 14:11:02.262 NotebookApp] 
    
    To access the notebook, open this file in a browser:
        file:///run/user/1000/jupyter/nbserver-28962-open.html
    Or copy and paste one of these URLs:
        http://localhost:8888/?token=07117ae22d91019e6deff959a75a3ce78bc13b977178201e

# Stoping Jupyter from the Terminal
# (the Quit button in the browser can be used).

^C[I 14:20:02.390 NotebookApp] interrupted
Serving notebooks from local directory: /home/andrzej
0 active kernels
The Jupyter Notebook is running at:
http://localhost:8888/?token=07117ae22d91019e6deff959a75a3ce78bc13b977178201e
Shutdown this notebook server (y/[n])? y
[C 14:20:04.384 NotebookApp] Shutdown confirmed
[I 14:20:04.385 NotebookApp] Shutting down 0 kernels

$ man jupyter-notebook
$ jupyter-notebook list   # list currently running notebook servers
$ jupyter-notebook --help
$ jupyter-notebook stop   $ stop currently running notebook server for a given port

# https://snapcraft.io/install/jupyter/debian
# Installing Jupyter Notebook with snap.

$ snap find jupyter
Name            Version   Publisher        Notes  Summary
jupyter         1.0.0     projectjupyter✓  -      Jupyter metapackage. Install all the Jupyter components in one go.
root-framework  v6-22-06  james-carroll    -      An open-source data analysis framework used by high energy physics and others.
jupyter-aj      0.0.1     mckilroy         -      Simple jupyter App for special control
$ sudo snap install jupyter

# Installing Jupyter Notebook with conda.

conda install -c conda-forge notebook

# Installing Jupyter Notebook with pip.

pip install notebook

jupyter notebook     # run the notebook in your browser

# Installing JupyterLab with conda.

conda install -c conda-forge jupyterlab

# Installing JupyterLab with pip.

pip install jupyterlab

INSTALLING JUPYTER IN WINDOWS 10

https://medium.com/@kswalawage/install-python-and-jupyter-notebook-to-windows-10-64-bit-66db782e1d02

First install Python 3.9 from www.python.org.

Set 'Python39' path and 'Python39/Scripts' path to environment variable.

Install 'virtualenv' using 'pip install virtualenv'.

Upgrade pip using 'python -m pip install --upgrade pip'.

Install Jupyter using 'python -m pip install jupyter'.

Run Jupyter Notebook using 'jupyter notebook'.

Start the notebook server and popup dashboard in browser using 
'localhost:8888/tree' url.

Create your first notebook using dashboard.

EXERCISES

# IPython in Debian 10 (ipython for Python 2.7, ipython3 for Python 3.7).

$ ipython
Python 2.7.16 (default, Oct 10 2019, 22:02:15) 
Type "copyright", "credits" or "license" for more information.

IPython 5.8.0 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: a = [1,2,3]

In [2]: a
Out[2]: [1, 2, 3]

In [3]: import math

In [4]: math.sqrt(3)
Out[4]: 1.7320508075688772

In [5]: quit()