SciPy¶
| Release: | 1.0.0 |
|---|---|
| Date: | October 25, 2017 |
SciPy（发音为“Sigh Pie”）是一个面向数学、科学和工程的开源软件。
教程¶
教程中包含了大多数SciPy子模块的代码示例和背景信息。
- SciPy教程
- 概述
- 基本功能
- Special functions (
scipy.special) - Integration (
scipy.integrate) - Optimization (
scipy.optimize) - Interpolation (
scipy.interpolate) - Fourier Transforms (
scipy.fftpack) - Signal Processing (
scipy.signal) - Linear Algebra (
scipy.linalg) - Sparse Eigenvalue Problems with ARPACK
- Compressed Sparse Graph Routines (
scipy.sparse.csgraph) - Spatial data structures and algorithms (
scipy.spatial) - Statistics (
scipy.stats) - Multidimensional image processing (
scipy.ndimage) - File IO (
scipy.io)
开发人员指南¶
本部分介绍如何为SciPy做出贡献，并描述了相关的维护活动、维护策略。
To get an overview of where help or new features are desired or planned, see the roadmap:
API参考文档¶
The exact API of all functions and classes, as given by the docstrings. The API documents expected types and allowed features for all functions, and all parameters available for the algorithms.
- Clustering package (
scipy.cluster) - Constants (
scipy.constants) - Discrete Fourier transforms (
scipy.fftpack) - Integration and ODEs (
scipy.integrate) - Interpolation (
scipy.interpolate) - Input and output (
scipy.io) - Linear algebra (
scipy.linalg) - Miscellaneous routines (
scipy.misc) - Multi-dimensional image processing (
scipy.ndimage) - Orthogonal distance regression (
scipy.odr) - Optimization and root finding (
scipy.optimize) - Signal processing (
scipy.signal) - 稀疏矩阵（
scipy.sparse） - Sparse linear algebra (
scipy.sparse.linalg) - Compressed Sparse Graph Routines (
scipy.sparse.csgraph) - Spatial algorithms and data structures (
scipy.spatial) - Special functions (
scipy.special) - Statistical functions (
scipy.stats) - Statistical functions for masked arrays (
scipy.stats.mstats) - Low-level callback functions