May 2017
Intermediate to advanced
270 pages
6h 18m
English
Overview
Python High Performance, Second Edition is your guide to mastering efficient Python coding techniques. You will learn to optimize your Python applications, identify bottlenecks using profiling tools, and leverage parallel and distributed computing frameworks to boost performance.
What this Book will help me do
- Profile Python applications to identify and resolve performance issues.
- Enhance Python numerics using NumPy and Pandas libraries.
- Write native-like fast code using libraries such as Cython and Numba.
- Implement asynchronous programming with Asyncio and RxPy for responsive solutions.
- Scale computations across clusters using Dask and PySpark.
Author(s)
Dr. Gabriele Lanaro is a seasoned software developer and data scientist with expertise in Python performance optimization. With a strong academic and professional background, he specializes in guiding developers through the intricacies of writing efficient and scalable Python code. His approachable writing combines deep technical insight with practical coding experience, helping readers achieve tangible improvements.
Who is it for?
The ideal reader is a Python developer who wants to master performance optimization. Whether you have an intermediate understanding of Python or are an experienced developer wanting to harness advanced performance strategies, this book is for you. If you aim to speed up numerical computations, resolve processing bottlenecks, or scale your solutions, you'll find this content invaluable. Knowledge of basic Python is a prerequisite.
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