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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

Shell 0.06% Python 90.57% C 1.56% XSLT 0.01% CSS 0.03% HTML 2.00% Smarty 0.04% Cython 5.66% Dockerfile 0.03% Meson 0.05%

pandas's Introduction

Hello, I'm Marco Barbosa. Physicist exchanging career to Software Engineer.

My current goal is to use software engineering techniques such Test-driven Development (TDD) and Continuous Integration/Continuous Delivery (CI/CD) to improve scientific softwares and workflows. To achieve this goal I have being actively developing applications and participating on open source communities of the PyData Ecosystem (Python, Numpy, pandas, among others). I also teach and mentor students to improve their problem solving capabilities using programming languages such as C and Python.

For more information proceed to my professional page. You may also contact me on Linkedin.

Some of my projects are hosted on ScientificThought, where I collaborate with professional colleagues with similar goals.

pandas's People

Contributors

adamklein avatar attack68 avatar changhiskhan avatar cpcloud avatar datapythonista avatar deamarialeon avatar dsaxton avatar fangchenli avatar gfyoung avatar hayd avatar jbrockmendel avatar jorisvandenbossche avatar jreback avatar jschendel avatar jtratner avatar lithomas1 avatar lukemanley avatar marcogorelli avatar mroeschke avatar mzeitlin11 avatar phofl avatar rhshadrach avatar shaharnaveh avatar simonjayhawkins avatar sinhrks avatar tomaugspurger avatar topper-123 avatar twoertwein avatar wesm avatar willayd avatar

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