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High Performance Python: Practical Performant Programming for Humans

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Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python’s implementation. You’ll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.

How can you take advantage of multi-core architectures or clusters? Or build a system that can scale up and down without losing reliability? Experienced Python programmers will learn concrete solutions to these and other issues, along with war stories from companies that use high performance Python for social media analytics, productionized machine learning, and other situations.

  • 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 a local or remote cluster
  • Solve large problems while using less RAM
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Raspberry Pi Robotic Blueprints
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About This Book

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American Medical Association Guide to Preventing and Treating Heart Disease
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More Than 3 Million American Medical Association Books Sold.

American's most trusted medical authority shows you how to prevent and treat heart disease.

When you or someone you love is diagnosed with cardiovascular disease, it's important to know the facts, which can help save a life. In the American
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This book provides the reader with an insight into which an activities an
organization would be engaged and what the role of each level of management
and the practitioners would be if their systems and software engineering
processes were based onCMM®IntegrationSM. It captures the essence
of each of the process areas by
...
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