NumPy 文件#
版本： 2.5.dev0
下載文件： 歷史版本的文件
Useful links: Home | Installation | Source Repository | Issue Tracker | Q&A Support | Mailing List
NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.
開始使用
New to NumPy? Check out the Absolute Beginner’s Guide. It contains an introduction to NumPy’s main concepts and links to additional tutorials.
使用者指南
使用者指南提供了關於 NumPy 關鍵概念的深入資訊，包含有用的背景資訊與解釋。
API 參考
The reference guide contains a detailed description of the functions, modules, and objects included in NumPy. The reference describes how the methods work and which parameters can be used. It assumes that you have an understanding of the key concepts.
貢獻者指南
Want to add to the codebase? Can help add translation or a flowchart to the documentation? The contributing guidelines will guide you through the process of improving NumPy.