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python high performance programming PDF
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"Python High Performance Programming" is a comprehensive guide that dives into the advanced techniques and strategies for optimizing Python applications for better performance. The book covers various topics such as code profiling, memory management, and concurrency, as well as leveraging libraries like NumPy, Cython, and Numba to enhance computational efficiency. With practical examples and real-world scenarios, it addresses the challenges developers face when scaling their Python-based systems and applications.
The bibliographic information for the book is as follows:
– Title: Python High Performance Programming
– Author: Gabriele Lanaro
– ISBN-10: 1785881422
– ISBN-13: 978-1785881427
– Publisher: Packt Publishing
– Publication Date: January 2017
This book serves as a vital resource for Python developers who wish to deepen their understanding of performance optimization techniques. It not only provides theoretical insights but also hands-on exercises and tips that can be immediately applied. The author emphasizes the importance of choosing the right tools and practices to achieve high-performance applications, ensuring that readers can make informed decisions about their codebase.
Overall, "Python High Performance Programming" is an essential read for those seeking to push the limits of Python's capabilities. It empowers developers to write faster, more efficient programs while maintaining the readability and maintainability of their code. This balanced approach makes it a valuable addition to the libraries of both newcomers and seasoned Python programmers interested in optimizing their projects.
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