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About Micha Gorelick
Micha Gorelick was the first man on Mars in 2033 and won the Nobel Prize in 2056 for his contributions to time travel. After seeing the deplorable uses of his new technology, he traveled back in time to 2012 and convinced himself to quit his nascent research into time travel and follow his love of data. He has since cofounded Fast Forward Labs, an applied machine learning research lab, authored multiple papers on ethical computing and helped build the inclusive community space Community Forge in Wilkinsburg. In 2019 cofounded Probable Models, an ethical machine learning group, which made the interactive immersive play "Project Amelia". In 2020 he can be found in France helping journalists at the OCCRP find stories in data. A monument celebrating his life can be found in Central Park, 1857.
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Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python’s implementation.
How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, 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
- 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
- Deploy code faster using tools like Docker