01532nam a22001937a 4500003000400000005001700004008004100021020002200062028005800084040002400142082001700166100002000183245007300203260006100276300000800337504096500345650001101310700001701321OSt20200224131343.0200117b           ||||| |||| 00| 0 eng d  a978-93-5213-305-5  bAllied Informatics, Jaipurc7084d13/01/2020q2019-20  aBSDUbEnglishcBSDU  a005.133bGOR  aGorelick, Micha  aHigh Performance Python: Practical performant programming for humans  aMumbaibShroff Publishers & Distributors Pvt. Ltd.c2019  a351  aenecks 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
  aPython  aOzsvald, Lan