High Performance Python Practical Performant Programming for Humans, 3rd Edition

How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more.
* Get a better grasp of NumPy, Cython, and profilers
* Learn how Python abstracts the underlying computer architecture
* Use profiling to find bottlenecks in CPU time and memory usage
* Write efficient programs by choosing appropriate data structures
* Speed up matrix and vector computations
* Process DataFrames quickly with Pandas, Dask, and Polars
* Speed up your neural networks and GPU computations
* Use tools to compile Python down to machine code
* Manage multiple I/O and computational operations concurrently
* Convert multiprocessing code to run on local or remote clusters

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