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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 0.05%
Python 90.43%
C 1.67%
XSLT 0.01%
CSS 0.01%
HTML 2.16%
Smarty 0.04%
Batchfile 0.01%
Cython 5.63%
Dockerfile 0.01%
pandas's Introduction
👷♂️ I am working at FlipAI as a Machine Learning Engineer.
💻 In 2023, I have contributed to keras-team/keras-nlp extensively. I was also involved with development of Keras3.
🤔 Currently my open source contributions are on a halt, as I haven't found a suitable project to contribute yet.
📣 I am a Google Developer Expert in Machine Learning (GenAI).
🌱 I'm currently learning about Large Language Models.
👬 I would love to collaborate on interesting NLP and implementations of Deep Learning Research Papers (if I have the bandwidth).
📲 You can reach me at [email protected] or on my social media profiles.
🧔🏽♂️ Pronouns: He/His/Him.
⛰️ I love travelling.
😁 More about myself at shivance.github.io
pandas's People