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About Scaling Python with Dask
Dask is a free and open source library for parallel computing in Python that helps you scale your data science and machine learning workflows With this quick but thorough resource data scientists and Python programmers will learn how Dask provides APIs that make it easy to parallelize PyData libraries like NumPy pandas and scikit learn Author Holden Karau shows you how you can use Dask computations in local systems and then scale to the cloud for heavier workloads This practical book explains why Dask is popular among industry experts and academics and used by organizations that include Walmart Capital One Harvard Medical School and NASA With this book you ll learn aboutWhat is Dask is where you can use it and how it compares to other toolsBatch data parallel processingKey distributed system concepts for Dask usersHigher level APIs and building blocksIntegrated libraries such as scikit learn pandas and PyTorch
Detailed Information
| Author: | Holden Karau and Mika Kimmins |
|---|---|
| Publication Year: | 2023 |
| ISBN: | 9781098119874 |
| Language: | English |
| File Size: | 3.7 |
| Format: | |
| Price: | FREE |
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