Matlab’s powerful advantages in matrix processing cannot be matched by Python. I once used Matlab and Python to run the same algorithm, which involved derivation of symbols in the matrix. Python uses Numpy, Sympy and Scipy. I feel that although Matrix in Sympy is powerful, it is very slow and requires attention to various details. For example: it cannot automatically expand the Complex type, and the result (1+I)(2I+1) often occurs. In this case, .expand needs to be called to solve the problem. Matlab allows you to focus on the model, and it will take time for Python to surpass Matlab. However, Python has powerful third-party packages for content crawling, machine learning, etc., such as Scarpy, Skikit-learn, etc., which are developing rapidly.

To summarize: Use Matlab now and Python in the future