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30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

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

Python Data Science Handbook: full text in Jupyter Notebooks

? Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

10 Weeks, 20 Lessons, Data Science for All!

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

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Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.