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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Home Page: https://pandas.pydata.org

License: BSD 3-Clause "New" or "Revised" License

Makefile 0.01% Python 94.85% Shell 0.19% HTML 2.78% C 2.15% Batchfile 0.01% Smarty 0.01% CSS 0.01% Dockerfile 0.01%

pandas's Introduction

Jacob Deppen

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I was trained as an archaeologist but found my passion in data science. Here are some things I like and the public repos to prove it. You can read more details on everything at deppen8.github.io.

Building open source tools to enable data science and research

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Data visualization and communication

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Community, teaching, and learning

Documenting your code: from docstrings to automated builds @ PyCon US 2022 tutorial YouTube

Sprints - Let's Do More of Those! @ PyGotham 2019 YouTube

SciPy Conference 2021 - Sprints Co-chair

Puget Sound Python (PuPPy) Meetup - Scientific Computing SIG (co-organizer) Meetup

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Certified Software Carpentry Instructor

pandas's People

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