Learn how to use Python to create efficient applicationsAbout This Book<li>Identify the bottlenecks in your applications and solve them using the best profiling techniques</li><li>Write efficient numerical code in NumPy, Cython, and Pandas</li><li>Adapt your programs to run on multiple processors and machines with parallel programmingWho This Book Is ForThe book is aimed at Python developers who want to improve the performance of their application. Basic knowledge of Python is expectedWhat You Will Learn</li><li>Write efficient numerical code with the NumPy and Pandas libraries</li><li>Use Cython and Numba to achieve native performance</li><li>Find bottlenecks in your Python code using profilers</li><li>Write asynchronous code using Asyncio and RxPy</li><li>Use Tensorflow and Theano for automatic parallelism in Python</li><li>Set up and run distributed algorithms on a cluster using Dask and PySpark----- AC9A17E2-8EB2-4C6D-B0C7-A8EAAB44B7AA </li>

Python High Performance - Second Edition PDF

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