Fast Python for Data Science: High Performance Techniques for Large Datasets - Softcover

Antao, Tiago

Softcover

ISBN 10: 1617297933 ISBN 13: 9781617297939

Publisher: Manning Publications, 2023

Synopsis

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together.

Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working.

About the technology
Fast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.

 

About this title

About the Author

Tiago Antao works in the field of genetics, analyzing very large datasets and implementing complex algorithms to process the data. He leverages Python with all its libraries to do scientific computing and data engineering tasks. He is one of the co-authors of Biopython, a major bioinformatics package written in Python. He holds a BE in informatics and a PhD in bioinformatics.

From the Back Cover

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together.

Written for experienced practitioners, this book dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working.

Edition details

• Publisher: Manning Publications
• Publication date: 2023
• Language: English
• ISBN 10: 1617297933
• ISBN 13: 9781617297939
• Binding: Paperback
• Edition number: 1
• Number of pages: 375