Powerful data manipulation tools for Python
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The pandas-dev organization on GitHub hosts a wide range of repositories focused on data manipulation tools for Python. Key projects include pandas, a flexible library for data analysis, and pandas-stubs for type stubs. The organization primarily utilizes Python, Jupyter Notebook, and other languages in its public repositories.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Public type stubs for pandas
Project governance documents for the pandas Project
Pandas Msgpack
flake8 plugin used for pandas development
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Infrastructure for making a pandas release
Source for https://dev.pandas.io/pandas-blog
API compatibility for pandas downstream
Environment to run the pandas benchmarks suite
https://pandas-dev.github.io/asv-runner/
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Assets and CI for the pandas interactive terminal
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Service to preview documentation from GitHub artifacts
pandas-dev builds various projects related to data manipulation and analysis, with the main repository being pandas. Other notable projects include pandas-stubs for type stubs and pandas-governance, which contains governance documents.
The primary programming languages used by pandas-dev include Python and Jupyter Notebook, along with HTML and Rust in some repositories. This diverse language usage aids in the development of their data manipulation tools.
Yes, all of pandas-dev's repositories are public on GitHub. This allows users and developers to access the code, contribute to projects, and engage with the community surrounding pandas and its related tools.
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