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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.