Thanks to maintainers working on projects like pandas, you can use Tidelift to give your teams access to a continuously curated stream of validated data about vetted components they need to make intelligent decisions, faster.
You can feel confident bringing pandas into your application’s dependency tree because the maintainers of pandas are paid by Tidelift to ensure their open source projects follow standardized secure software development practices.
pypi pandas is a powerful data structures for data analysis, time series, and statistics.
pandas, a Python package, provides fast, flexible, and expressive data structures that are specifically designed to make working with "relational" or "labeled" data both intuitive and easy.
pandas aims to be the fundamental building block for doing practical, real world data analysis in Python. pandas also has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.
pandas can do many things. Here are a few examples:
You can learn more on the pandas repo or the pandas docs.
pandas is included in the Tidelift Subscription because of our partnership with NumFOCUS. You can learn more about that here.
Tidelift takes a unique, data driven approach to addressing the issue of bad packages. Tidelift partners with the maintainers of thousands of the most-relied-upon open source packages and pays them to implement industry-leading secure software development practices and document the practices they follow. The result is a unique source of cross-ecosystem package intelligence that customers use to identify and eliminate bad packages.
Tidelift’s package intelligence can be easily integrated into your preferred workflows using our flexible APIs or by adopting our web UI and CLI capabilities.
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