Guide to NumPy

Guide to NumPy

简介:

NumPy是Python的扩展,它提供了高度优化的数组和数值运算。NumPy取代了Matlab和Mathematica的许多功能,特别是矢量化操作,但与这些产品相比,它是免费和开源的。在当今的科学技术世界中,一切都与速度和灵活性有关。本书适用于具有基本Python知识并希望能够使用Python进行数值计算的程序员,科学家或工程师。它会给你一个坚实的基础NumPy数组和通用功能。学习NumPy数组将帮助您使用NumPy提高效率,并编写干净,快速的代码。

使用干净高效的NumPy代码提高计算性能使用统计函数分析大型数据集,并执行复杂的线性代数和数学计算以简单的方式执行复杂的数组操作

英文简介:

NumPy is an extension of Python, which provides highly optimized arrays and numerical operations. NumPy replaces a lot of the functionality of Matlab and Mathematica specifically vectorized operations, but in contrast to those products is free and open source. In today's world of science and technology, it is all about speed and flexibility.

This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python. It will give you a solid foundation in NumPy arrays and universal functions. Learning NumPy Array will help you be productive with NumPy and write clean and fast code.

Improve the performance of calculations with clean and efficient NumPy codeAnalyze large data sets using statistical functions and execute complex linear algebra and mathematical computationsPerform complex array operations in a simple manner

书名
Guide to NumPy
译名
NumPy 指南
语言
英语
年份
2006
页数
371页
大小
2.02 MB
标签
  • 数据科学
  • Python
  • 下载
    pdf iconGuide to NumPy.pdf
    密码
    65536

    最后更新:2025-04-12 23:54:38

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