Introduction
Scientific Computing Tools for Python. Seen in Scipy.org.
Environment
Linux, CentOS 7 with KDE, python 2.7
Installation
1 python -m pip install --upgrade pip 2 # Do not use sudo for the next command 3 pip install --user numpy scipy matplotlib ipython jupyter pandas sympy nose 4 # change the environment 5 vim ~/.bashrc 6 # 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 from matplotlib.pyplot import * 2 from numpy import * 3 from scipy import special, optimize 4 f = lambda x: -special.jv(3,x) 5 sol = optimize.minimize(f, 1.0) 6 x = linspace(0, 10, 5000) 7 x 8 plot(x, special.jv(3, x), '-', sol.x, -sol.fun, 'o') 9 savefig('plot.png', dpi=96)
Result:
Simple case. Just for the beginning of applying Scipy.