About pandas #
History of development #
In 2008, pandas development began at AQR Capital Management. By the end of 2009 it had been open sourced, and is actively supported today by a community of like-minded individuals around the world who contribute their valuable time and energy to help make open source pandas possible. Thank you to all of our contributors.
Since 2015, pandas is a NumFOCUS sponsored project. This will help ensure the success of development of pandas as a world-class open-source project.
Timeline #
- 2008: Development of pandas started
- 2009: pandas becomes open source
- 2012: First edition of Python for Data Analysis is published
- 2015: pandas becomes a NumFOCUS sponsored project
- 2018: First in-person core developer sprint
Library Highlights #
See the package overview in the documentation for what pandas provides and what it does well.
Mission #
pandas aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.
Vision #
A world where data analytics and manipulation software is:
- Accessible to everyone
- Free for users to use and modify
- Flexible
- Powerful
- Easy to use
- Fast
Values #
Is in the core of pandas to be respectful and welcoming with everybody, users, contributors and the broader community. Regardless of level of experience, gender, gender identity and expression, sexual orientation, disability, personal appearance, body size, race, ethnicity, age, religion, or nationality.