Jupyter

Jupyter Notebook (formerly IPython Notebooks) is a web-based interactive computational environment for creating Jupyter notebooks documents.

Libraries

• calmap (opens new window) - plot pandas time series data sampled by day in a heatmap per calendar year, similar to GitHub's contributions plot, using matplotlib - 🐙 (opens new window) 🐍 (opens new window)
• Jupyter Dashboards Layout Extension (opens new window) - 🐙 (opens new window) 🐍 (opens new window)
• nbresuse (opens new window) - A small extension for Jupyter Notebooks that displays an indication of how much resources your current notebook server and its children (kernels, terminals, etc) are using. - 🐙 (opens new window) 🐍 (opens new window)
• voilà (opens new window) - Voilà allows you to convert a Jupyter Notebook into an interactive dashboard that allows you to share your work with others. It is secure and customizable, giving you control over what your readers experience. - 🐙 (opens new window) 🐍 (opens new window)

JupyterHub Distributions

• The Littlest JupyterHub (opens new window) - A simple JupyterHub distribution for a small (0-100) number of users on a single server.
• Zero to JupyterHub with Kubernetes (opens new window) - This project will help you set up your own JupyterHub on a cloud and leverage the clouds scalable nature to support large groups of users. Thanks to Kubernetes, we are not tied to a specific cloud provider.

Links

• Building a Repeatable Data Analysis Process with Jupyter Notebooks (opens new window) by Chris Moffitt, 20 November 2018.
• How to Write a Jupyter Notebook Extension (opens new window) by Will Koehrsen, 8 December 2018.

Snippets

Useful magic commands

The %run commands runs a Python script inside the notebook:

%run file.py

The %%writefile writes the conents of a cell to a file:

%%writefile

def to_upper(x: str):
    return x.upper()