Replacing Matlab with Scientific Python
Now a day, the most popular of numerical based software in science and engineering is Matlab. However, it comes with very expensive price. So, we need to find alternative software for replacing this software. The choice is Python and Scientific Python. Here is the suggestion for setting up Python software package for Scientific works.
Python is a powerful object-oriented, interpreted, and interactive programming language. It is a free software and open source. That means we can free use and redistribute it. Python is also widely used in scientific computations.
Downloads http://www.python.org/download/
NumPy is the fundamental package needed for scientific computing with Python. This package contains:
- a powerful N-dimensional array object
- sophisticated (broadcasting) functions
- basic linear algebra functions
- basic Fourier transforms
- sophisticated random number capabilities
- tools for integrating Fortran code.
Dowloads at SF.net
SciPy is open-source software for mathematics, science, and engineering. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation.
Downloads http://www.scipy.org/Download
Matplotlib is a plotting library for Python which uses syntax similar to MATLAB.
Downloads at SF.net
Powered by ScribeFire.
This story sounds convincingly! I agree with you in this case.