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

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

⚡ A Fast, Extensible Progress Bar for Python and CLI

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.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

TuShare is a utility for crawling historical data of China stocks

Download market data from Yahoo! Finance's API

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Parallel computing with task scheduling

Statistical data visualization in Python

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

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PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

Practice your pandas skills!

Modin: Scale your Pandas workflows by changing a single line of code

Open Machine Learning Course

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cuDF - GPU DataFrame Library