Scipy-python Library-math Tool-begin

Introduction

Scientific Computing Tools for Python. Seen in scipy.org.

Environment

Linux, CentOS 7 with KDE, Python 2.7

Installation

1 Install --upgrade pip2sudo for the next command3  Install --user numpy scipy matplotlib ipython jupyter pandas sympy nose45 vim ~/. BASHRC6 # export path= $PATH:/home/leaf/.local/bin

A simple demo to solve a Bessel function

Bessel function:most commonly, the canonical solutions y(x) of the differential equation. Seen in wiki.

Code (Python):

1  fromMatplotlib.pyplotImport*2  fromNumPyImport*3  fromSciPyImportSpecial, optimize4f =LambdaX:-SPECIAL.JV (3, X)5Sol = Optimize.minimize (F, 1.0)6x = Linspace (0, 10, 5000)7 x8Plot (x, SPECIAL.JV (3, X),'-', Sol.x,-sol.fun,'o')9Savefig ('Plot.png', dpi=96)

Result:

Simple case. Just for the beginning of applying Scipy.

Scipy-python Library-math Tool-begin