Written by the SciPy community. — Scipy, 2015. — 1465 p.SciPy is a collection of mathematical algorithms and convenience functions built on the Numpy extension of Python. It adds significant power to the interactive Python session by providing the user with high-level commands and classes for manipulating and visualizing data. With SciPy an interactive Python session becomes a data-processing and system-prototyping environment rivaling sytems such as MATLAB, IDL, Octave, R-Lab, and SciLab.The additional benefit of basing SciPy on Python is that this also makes a powerful programming language available for use in developing sophisticated programs and specialized applications. Scientific applications using SciPy benefit from the development of additional modules in numerous niche’s of the software landscape by developers across the world. Everything from parallel programming to web and data-base subroutines and classes have been made available to the Python programmer. All of this power is available in addition to the mathematical libraries in SciPy.This tutorial will acquaint the first-time user of SciPy with some of its most important features. It assumes that the user has already installed the SciPy package. Some general Python facility is also assumed, such as could be acquired by working through the Python distribution’s Tutorial. For further introductory help the user is directed to the Numpy documentation.

尊敬的读者：
欢迎您访问我们的网站。本站的初衷是为大家提供一个共享学习资料、交换知识的平台。每位用户都可以将文件上传至网盘并分享。
然而，随着用户上传的资料增多，我们发现部分不宜或版权问题的书籍被分享到了本站。
为此，我们已经关闭了分享入口，并进行了多次书籍审查，但仍有部分内容未能彻底审查到位。
在此，我们恳请广大读者与我们共同监督，如发现任何不宜内容，请 点击此处 进行举报，我们会第一时间处理并下架相关内容。
希望我们能共建一个文明社区！感谢您的理解与支持！