Python Tutorial: Python for MATLAB Users | Intro
Skills:
ML Maths Basics70%
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Hi! Welcome to this course where you will leverage your MATLAB know-how to get you up to speed on Python for Data Science quickly.
This course is an accelerated introduction to Python meant for users who already have proficiency with MATLAB. Not sure if you’re ready for this course? I’m going to assume that you can do the following in MATLAB already.
This course expects that you know how to create, index into, and manipulate multidimensional matrices.
If the examples in the MATLAB code here are unfamiliar to you, this course probably isn't for you.
You should be able to visualize trends in data using line plots, scatter plots, and histograms in MATLAB.
If the examples in the MATLAB code here are unfamiliar to you, this course probably isn't for you.
You should be able to control the flow of a MATLAB script with if statements, while loops, and for loops.
If the examples in the MATLAB code here are unfamiliar to you, this course probably isn't for you.
We’re going to move fast, so if you aren’t sure about whether this is the right course, go ahead and check out some of the other introductory Python courses. You won’t hurt my feelings, I promise.
Throughout this course, I’m going to refer back to MATLAB to help give insight into how things work in Python, both the similarities and the differences. In some ways, Python and MATLAB are very similar, and you will find that things you've learned in MATLAB will easily transfer to Python.
The first notable difference to keep in mind is that Python is a general-purpose programming language with a user base that extends far beyond just the data science community. This means that you’ll be able to use Python for a much broader set of uses than MATLAB supports, from deploying machine learning models to p
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