September 2015
Intermediate to advanced
260 pages
5h 2m
English
Overview
'Mastering Python High Performance' is a comprehensive guide that equips readers with the skills to profile and optimize their Python code. By exploring tools and techniques for improving performance, this book empowers you to identify inefficiencies and apply targeted optimizations to achieve fast, efficient Python applications.
What this Book will help me do
- Learn to profile Python code and analyze performance metrics using industry-standard tools.
- Gain insights on Python's execution model and discover language constructs for improved efficiency.
- Master threading and multiprocessing strategies to harness the power of parallelism.
- Optimize numerical operations using libraries like NumPy, Numba, and Pandas for advanced computations.
- Understand advanced compiler technologies, like PyPy and Cython, to enhance execution speed.
Author(s)
Fernando Donglio is a software developer with extensive experience in Python performance optimization. With a background in computer science and a passion for teaching, Fernando combines technical depth with practical insights in his writing. His approachable style and hands-on knowledge make complex topics accessible to readers at all levels.
Who is it for?
This book is ideal for Python programmers seeking to refine their understanding of performance optimization. Beginners with knowledge of basic Python programming can enhance their foundational skills. Intermediate developers will deepen their expertise in profiling and tuning their applications. Advanced users aiming to exploit Python for high-performance computing will find specialized tools and methodologies.
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