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Parallel Python With Dask - Perform Distributed Computing, Concurrent Programming And Manage Large Dataset
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Unlock the Power of Parallel Python with Dask: A Perfect Learning Guide for Aspiring Data Scientists
Dask has revolutionized parallel computing for Python, empowering data scientists to accelerate their workflows. This comprehensive guide unravels the intricacies of Dask to help you harness its capabilities for machine learning and data analysis.
Across 10 chapters, you'll master Dask's fundamentals, architecture, and integration with Python's scientific computing ecosystem.Step-by-step tutorials demonstrate parallel mapping, task scheduling, and leveraging Dask arrays for NumPy workloads.You'll discover how Dask seamlessly scales Pandas, Scikit-Learn, PyTorch, and other libraries for large datasets.
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~Get Your Files Here !/Bonus Resources.txt
386 B
~Get Your Files Here !/TimPeters-ParallelPythonwithDask.epub.epub