Jupyter Notebooks by Example

Learning resources and practical tips on how to use Jupyter notebooks for fun & profit.

Contents

• What is this?
• How to use the files in this repository?
• Links
• License

What is this?

This is not a Jupyter notebook 101, but expects you to have a working Jupyter environment, and the basic experience of how to use it. Examples are tested on Linux, behaviour on other platforms might differ.

See the next section on what can be found here, including how-tos and complete scenarios for solving typical problems, using Pandas and other scientific Python libraries.

How to use the files in this repository?

The notebooks are grouped into the following categories:

• setup Jupyter and IPython setup / configuration.
• how-tos Tips & tricks regarding notebooks and data manipulation.
• visualization Data visualization how-tos.
• charts Vocabulary of chart types done with at least one of the common frameworks.
• publish How to publish your results.
• complete-scenarios Practical examples from start to finish.
• data Data files used in the example notebooks.

The notebooks state any special requirements you need to install to be able to successfully run them, in text or as a comment in the first code cell. Also, the requirements.txt file lists them explicitly, for use with Binder.

Consider the 1and1/debianized-jupyterhub project to get a fully working runtime environment on Debian-like platforms or in a Docker container, with all extensions already installed.

Links

Documentation

• The Jupyter Notebook documentation (Project Jupyter Homepage)
• Beyond Interactive: Notebook Innovation at Netflix Part 2: Scheduling Notebooks at Netflix

Related or Similar Projects

• jhermann/til-about-data-science Records of what I learned while exploring the waters of Data Science (using Python). Including a Jupyter wiki page.
• josephcslater/iPythonExamples Examples of illustrative Jupyter notebooks for those trying to learn Python.
• jakevdp/PythonDataScienceHandbook Python Data Science Handbook with the full text in Jupyter Notebooks.
• hangtwenty/dive-into-machine-learning Dive into Machine learning with Jupyter notebooks and scikit-learn.
• jupyter4edu/jupyter-edu-book A Handbook for teaching and learning with Jupyter.
• jvns/pandas-cookbook Recipes for using Python's pandas library.
• guipsamora/pandas_exercises Practice your pandas skills!
• chris1610/pbpython Code, notebooks and examples from Practical Business Python.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 2.0 Generic License.