常用
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* SciPy 是一个开源的 Python 算法库和数学工具包。SciPy 包含的模块有最优化、线性代数、积分、插值、特殊函数、快速傅里叶变换、信号处理和图像处理、常微分方程求解和其他科学与工程中常用的计算。

* SciPy 官网：https://www.scipy.org/
* SciPy 源代码：https://github.com/scipy/scipy


安装::

    $ pip install numpy scipy matplotlib ipython jupyter pandas sympy nose

    $ apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose

    $ brew install numpy scipy ipython jupyter


使用::

    from scipy import optimize, special
    from numpy import *
    from pylab import *
     
    x = arange(0,10,0.01)
     
    for k in arange(0.5,5.5):
         y = special.jv(k,x)
         plot(x,y)
         f = lambda x: -special.jv(k,x)
         x_max = optimize.fminbound(f,0,6)
         plot([x_max], [special.jv(k,x_max)],'ro')

    title('Different Bessel functions and their local maxima')
    show()