Dask — Dask documentation
Dask is a Python library for parallel and distributed computing. Dask is: Easy to use and set up (it’s just a Python library) Powerful at providing scale, and unlocking complex algorithms and Fun 🎉 How to Use Dask# Dask provides several APIs. Choose one that works best for you: Dask Futures parallelize arbitrary for-loop style Python code, providing: Flexible tooling allowing you to construct cus
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GitHub - nv-legate/cupynumeric: NumPy and SciPy on Multi-Node Multi-GPU systems
GitHub - IntelPython/sdc: Numba extension for compiling Pandas data frames, Intel® Scalable Dataframe Compiler
GitHub - jbd/msrsync: Multi-stream rsync wrapper
GitHub - pyparallel/pyparallel: Experimental multicore fork of Python 3
Strategies and Tools for Parallel Machine Learning in Python