#pandasSprint 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.

QuantumBlack is an advanced analytics firm operating at the intersection of strategy, technology & design to improve performance outcomes for organisations. We established QuantumBlack to re-imagine how organisations could continuously improve and out-learn their rivals. We want to change the world by solving one problem at a time and helping our clients use their own data to drive better decisions. Our mission is to help foster a culture of elite performance by eliciting the right input and enabling the right decision from the right data delivered in the right way. Acquired by McKinsey & Company in 2015, we were founded seven years ago to help our clients improve their asset, human, and operational performance by applying cutting-edge analytics to make the most of their data. With roots in Formula One, we now work across sector with some of the world's leading organisations in advanced industries, healthcare and finance.