The document discusses contributing to the pandas open source project. It provides information on how to become a contributor, the number of current contributors and issues, and steps for setting up a development environment, making changes, writing tests, and submitting pull requests.
2. pandas?
Flexible and powerful data analysis / manipulation library for
Python, providing labeled data structures similar to R data.frame
objects, statistical functions, and much more
— https://github.com/pandas-dev/pandas
Python Korea 20171021 iam@younggun.kim / @scari_net 2