01. Scipy Tutorial-简要介绍

Scipy是Python世界里比较知名的算法、运算相关的模块包,多数功能基于Numpy扩展而成。在ubuntu系统上,Scipy安装后的目录/usr/local/lib/python2.7/dist-packages/scipy

  • Scipy其重要组成部分的各个子包如下:
Sicpy包含的子包 功能
cluster --- Vector Quantization / Kmeans
fftpack --- Discrete Fourier
integrate --- Integration routines
interpolate --- Interpolation Tools
io --- Data input and output
lib --- Python wrappers to
lib.lapack --- Wrappers to LAPACK library
linalg --- Linear algebra routines
misc --- Various utilities that don't have another home.
ndimage --- n-dimensional image package
odr --- Orthogonal Distance Regression
optimize --- Optimization Tools
signal --- Signal Processing Tools
sparse --- Sparse Matrices
sparse.linalg --- Sparse Linear Algebra
sparse.linalg.dsolve --- Linear Solvers
sparse.linalg.dsolve.umfpack --- :Interface to the UMFPACK library
sparse.linalg.eigen.lobpcg --- Locally Optimal Block Preconditioned
special --- Airy Functions [*]
lib.blas --- Wrappers to BLAS library [*]
sparse.linalg.eigen --- Sparse Eigenvalue Solvers [*]
stats --- Statistical Functions [*]
lib --- Python wrappers to external libraries
lib.lapack --- Wrappers to LAPACK library [*]
integrate --- Integration routines [*]
ndimage --- n-dimensional image package [*]
linalg --- Linear algebra routines [*]
spatial --- Spatial data structures and algorithms
special --- Airy Functions
stats --- Statistical Functions
  • 查帮助 1) 用help和dir来查某包下的某函数模块的帮助 2)用numpy的info来查看scipy相关内容的帮助。
>>> import numpy as np
>>> np.info(scipy.linalg)

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