High Performance Python 在线电子书 图书标签: Python coding 编程 程序效率 数学和计算机 優化
发表于2024-11-25
High Performance Python 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
官网已经有early access版,小技巧挺多的
评分官网已经有early access版,小技巧挺多的
评分官网已经有early access版,小技巧挺多的
评分官网已经有early access版,小技巧挺多的
评分官网已经有early access版,小技巧挺多的
Micha Gorelick cofounded Fast Forward Labs as resident mad scientist. The company was acquired by Cloudera in 2017. He works on many issues from machine learning to performant stream algorithms.
Ian is a chief data scientist and coach. He co-organizes the annualPyDataLondon conference with 700+ attendees and the associated 10,000+ member monthly meetup. He runs the established Mor Consulting Data Science consultancy in London and gives conference talks internationally, often as keynote speaker. He has 17 years ofexperience as a senior data science leader, trainer and team coach.For fun he's walked by his high-energy Springer Spaniel, surfs theCornish coast and drinks fine coffee. Past talks and articles can befound at: https://ianozsvald.com/
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
If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various ...
评分例子给的很多,讲到高性能就会提到性能监控,这本书里面有 cpu mem 方法的度量,网络这块讲了一点异步,net profiler 这块没讲。 感觉就是个简单的笔记集合,作者把可能把工作中遇到的性能问题,记录了解决方案。 行文不太顺畅,配套的代码需要安装的库都没列出来,使用的相应...
评分例子给的很多,讲到高性能就会提到性能监控,这本书里面有 cpu mem 方法的度量,网络这块讲了一点异步,net profiler 这块没讲。 感觉就是个简单的笔记集合,作者把可能把工作中遇到的性能问题,记录了解决方案。 行文不太顺畅,配套的代码需要安装的库都没列出来,使用的相应...
评分High Performance Python 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024