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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 0.07% Python 90.14% C 1.78% XSLT 0.01% CSS 0.01% HTML 2.18% Smarty 0.04% Batchfile 0.01% Cython 5.75% Dockerfile 0.03%

pandas's Introduction

Bonjour! 👋

I'm a second-year Natural Language Procesing MSc student at the 🏫 Université de Paris, and I've also been teaching Intro to 💻 Computer Science classes to high school students for several years, and used to teach English as a certified (agrégée) teacher. I studied English Language, Literature and History at the ENS Cachan, and started learning about NLP in 2014 during an internship.

🚀 I want to use my skills in NLP and ML to create new educational tools for language learning

📃 If you want to learn more about my education, my work experience and my skills, check out my resume.

  • 🌱 I’m thrilled to currently be learning about Machine Learning and its applications in Natural Language Processing.
  • 🐍 I love coding in Python, and always strive to make my code more beautiful and Pythonic
  • ☕ I'm also proficient in Java!

pandas's People

Contributors

adamklein avatar alimcmaster1 avatar attack68 avatar changhiskhan avatar cpcloud avatar datapythonista avatar dsaxton avatar fangchenli avatar gfyoung avatar hayd avatar jbrockmendel avatar jorisvandenbossche avatar jreback avatar jschendel avatar jtratner avatar lithomas1 avatar marcogorelli avatar mroeschke avatar mzeitlin11 avatar orbitfold 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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