Ultimate Python Polars for Data Analytics by Sunny Khilare (.ePUB)+
File Size: 12.8 MB
Ultimate Python Polars for Data Analytics: Transform Your Large-Scale Data into High-Performance Analytics with Python Polars by Sunny Khilare
Requirements: .ePUB, .PDF reader, 12.8 MB | True EPUB, PDF
Overview: Design Optimized, Large-Scale Data Workflows Using Python Polars. This book, Ultimate Python Polars for Data Analytics, is a hands-on guide to mastering this high-performance framework. You will begin by understanding Polars’ architecture, execution engine, and columnar memory model—core concepts that drive its exceptional speed and efficiency. From there, the book moves into advanced data transformations, multi-table joins, window functions, and aggregation strategies designed for large-scale datasets. You will gain deep insight into lazy execution and query planning, learning how Polars optimizes computations before execution to minimize memory usage and maximize throughput. This book is tailored for data analysts, data engineers, data scientists, and machine learning practitioners who want to build high-performance, scalable data workflows using Python. Readers should be comfortable with Python programming and have basic familiarity with SQL and Pandas for data manipulation.
Genre: Non-Fiction > Tech & Devices
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