PEIP-Python

Python code for examples and exercises for the 3rd edition of Parameter Estimation and Inverse Problems.

Differences between MATLAB and Python/NumPy/Jupyter

In MATLAB, documentation on a function is obtained with help function_name. In Jupyter and IPython, help is obtained with function_name?.
In MATLAB, array indices begin with 1. In Python and NumPy, indices begin with 0.
In MATLAB, vectors are matrices with their second dimension of length 1. In NumPy, vectors have no second dimension.
In MATLAB, element-by-element operations are explicit with a . dot before the symbol. In NumPy, element-by-element is the default. Futher, element-by-element operations can occur between different sized arrays through "broadcasting", whereby array dimensions are matched and the operation is implicitly expanded to all corresponding elements.
In MATLAB, the array transpose is obtained with an apostrophe ' after the matrix. In NumPy, it is obtained with the .T method on the array.

For other differences, please see NumPy for MATLAB users.