Pandas Sprint continued (ALL LEVELS)

This will be a follow up of the worldwide #pandasSprint: https://python-sprints.github.io/pandas/

Beginners to contributing to open source will get a pandas documentation page assigned, and will be guided through the step to make it as good as pandas itself. During the sprint, this step-by-step checklist will help you make your first contribution, and our senior members will help you with any problem.

https://python-sprints.github.io/pandas/dashboard.html

Advanced contributors will be able to:

• Help reviewing open pull requests
• Experiment with the Sphinx theme of the pandas documentation
• Improve the validation of docstrings
• Refactor the contributing documentation
• And of course mentor more junior contributors

Before the sprint, and to optimise your time, we recommend trying to set up a pandas development environment in your laptop:

https://python-sprints.github.io/pandas/guide/pandas_setup.html

For this sprint, we welcome our new sponsor QuantumBlack.

Thanks to QuantumBlack for hosting this event!

QuantumBlack is an advanced analytics firm operating at the intersection of strategy, technology & design to improve performance outcomes for organisations. With roots in Formula One, we now work across sector with some of the world's leading organisations in advanced industries, healthcare and finance.

Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

More information about Pandas: https://pandas.pydata.org/

Set up instructions

Please follow the instruction in this link: https://python-sprints.github.io/pandas/guide/index.html