000			01596nam a22002177a 4500
999			_c2436 _d2436
003			OSt
005			20200224131343.0
008			200117b ||||| |||| 00| 0 eng d
020			_a978-93-5213-305-5
028			_bAllied Informatics, Jaipur _c7084 _d13/01/2020 _q2019-20
040			_aBSDU _bEnglish _cBSDU
082			_a005.133 _bGOR
100			_aGorelick, Micha
245			_aHigh Performance Python: Practical performant programming for humans
260			_aMumbai _bShroff Publishers & Distributors Pvt. Ltd. _c2019
300			_a351
504			_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
650			_aPython
700			_aOzsvald, Lan
942			_2ddc _cBK