18. Scientific Computing with Python: The SciPy.Optimize Module

In this video, we delve into the SciPy.Optimize module, a powerful part of the SciPy library designed for solving optimization problems in Python.
I explore its various functions, including root finding, curve fitting, minimization, linear programming, and more. Whether you need to find the minimum of a function, solve equations, or fit data to a model, SciPy.Optimize provides robust algorithms and tools to handle these tasks efficiently.
I will walk through practical examples and demonstrate how to implement these methods in your own projects, making complex optimization problems more approachable and manageable.
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Download the Jupyter Notebook file here:
drive.google.c...
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