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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
10 Weeks, 20 Lessons, Data Science for All!
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Parallel computing with task scheduling
Modin: Scale your Pandas workflows by changing a single line of code
cuDF - GPU DataFrame Library
the portable Python dataframe library
Visualizer for pandas data structures
Time series forecasting with PyTorch
A light-weight, flexible, and expressive statistical data testing library
Visualize and compare datasets, target values and associations, with one line of code.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Lightweight and extensible compatibility layer between dataframe libraries!