Python High Performance Programming
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|Format: ||Paperback, 108 pages|
|Published In: ||United Kingdom, 01 December 2013|
An exciting, easy-to-follow guide illustrating the techniques to boost the performance of Python code, and their applications with plenty of hands-on examples. If you are a programmer who likes the power and simplicity of Python and would like to use this language for performance-critical applications, this book is ideal for you. All that is required is a basic knowledge of the Python programming language. The book will cover basic and advanced topics so will be great for you whether you are a new or a seasoned Python developer.
About the Author
Gabriele Lanaro is a PhD student in Chemistry at the University of British Columbia, in the fi eld of Molecular Simulation. He writes high performance Python code to analyze chemical systems in large-scale simulations. He is the creator of Chemlab-a high performance visualization software in Python-and emacs-for-python-a collection of emacs extensions that facilitate working with Python code in the emacs text editor. This book builds on his experience in writing scientifi c Python code for his research and personal projects.
23.5 x 19.05 x 0.56 centimetres (0.27 kg)|
15+ years |