Description
Data Science with Python and Dask provides a comprehensive guide to leveraging Dask for large-scale data processing and analysis. Written by Jesse C. Daniel and published by Manning Publications, this book teaches you how to handle datasets that exceed your computer’s memory capacity using distributed computing frameworks.
Throughout the book, you’ll discover practical techniques for parallel processing, data manipulation, and computational optimization. Learn to work with DataFrames, perform complex aggregations, and implement machine learning algorithms at scale. The book combines theoretical concepts with real-world examples, making it ideal for data scientists and Python developers looking to expand their toolkit for handling big data challenges efficiently.
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