Engineering Python 18A: Optimization using SciPy

Textbooks:

Welcome to Engineering Python. This is a Python programming course for engineers.

In this video, I'll talk about how to use SciPy for solving simple optimization problems.

The course materials are available on YouTube and GitHub.

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[YongWang]

I found a bug in and fixed it on 11/18/2020. The old file stops running after [In 11] due to an error "NameError: name 'x0' is not defined". Please download the updated file.

[MrMaipeople]

The best optimisation ever. Straight to point. No nonsense. No bullshit. Thank you very much.

[YongWang]

Hi Guys, please comment and let me know what you think about this Engineering Python open course. If you enjoy the video, please subscribe and share with your friends. Thanks!

[maudentable]

Best lectures ever. Simple and directly to the point.

[AJ-etvf]

Very helpful and useful! Thank you sir!

[lux.]

saved to my playlist, thank you so much, sir :)

[rahdar]

keep in, on YouTube the best stuff gets very little attention. keep it up.

[ifeanyiokwuazu]

Please I am relatively new to data science....but why do most videos use generated datasets rather than actual data from Kaggle or any other site?
Does this really help when a real problem is encountered in the real world ?

[lucasdetogni]

If i wanna use 2 or (n) parameters, how can i do it? Could you explain this solver to f(X, Y, Z, W, ...)

[py_tok]

NICE, DR Wang this is my new Yt channel

[sriharshakodati]

This is awesome! May I know how to use constraints for fsolve function?
For example how do we mention that we need the roots to be not negative for the example at 5:24 ?
Thanks!!

[金成柱김성주]

Thanks for the video, could you explain about the [xopt, fopt, ....]=\ command? Thanks.