Fast Python: High Performance Techniques for Large Datasets
By Tiago Rodrigues Antao
(2023, Manning, 304 pages, ISBN-13: 978-1617297939)

Fast Python: High Performance Techniques for Large Datasets by Tiago Rodrigues Antao is an essential guide for developers and data scientists working with massive datasets. This book provides advanced techniques and tools to significantly improve the performance of Python applications, especially when dealing with big data.

What Will You Learn?

  • Handling Large Datasets: Techniques for efficiently managing and processing large volumes of data using Python.
  • Code Optimization: Learn methods to optimize your Python code for enhanced performance.
  • Data Libraries: Master the use of Python libraries designed for data processing.
  • Parallel Computing: Implement parallel processing to speed up data handling.
  • Memory Management: Optimize memory usage for better performance with large datasets.
  • Asynchronous Programming: Use asynchronous techniques to boost performance.
  • Working with NumPy and pandas: Utilize these powerful libraries for data manipulation and analysis.
  • Introduction to Cython: Leverage Cython to enhance your Python code’s performance.
  • I/O Optimization: Optimize input/output operations to improve data handling efficiency.

Who Should Read This Book?

  • Developers: Those working with large data and looking to optimize processing performance.
  • Data Scientists: Professionals aiming to efficiently analyze and process large datasets.
  • Researchers and Analysts: Anyone working with data who wants to speed up their analysis and improve accuracy.
  • Students and Educators: A useful resource for data analysis and programming courses with practical examples and exercises.

About the Author

Tiago Rodrigues Antao specializes in genetics, where he analyzes large datasets and develops complex algorithms for data processing. He is also a co-author of Biopython, a well-known bioinformatics package, and regularly uses Python for scientific computing and data engineering tasks.

For developers and data professionals looking to optimize Python applications for big data, Fast Python is a must-have resource. Explore more Python books and resources on ThinkJava.net, a platform dedicated to programming and data science enthusiasts.

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Last Update: October 2, 2024

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