NumPy Tutorial (2022): For Physicists, Engineers, and Mathematicians

Check out my course on UDEMY: learn the skills you need for coding in STEM:

This from-scratch tutorial on NumPy is designed specifically for those in physics, mathematics, and engineering. In the future, I will be making tutorial videos on all the essential python packages, so subscribe for more!

All code can be found here:

0:00 Introduction
3:43 Array Operations
8:28 Indexing and Slicing (1 Dimension)
15:18 Calculus and Statistics
21:28 Examples
47:18 Multi-Dimensional Arrays
52:22 Functions on Multi-Dimensional Arrays
56:26 Linear Algebra: Matrix Operations
58:33 Linear Algebra: Systems of Equations
59:53 Linear Algebra: Eigenvalue Problems
1:02:02 Examples
1:28:42 Basic Datasets

[francisrayquintana]

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[indocesare]

At university I've been taught Matlab but I always wanted to switch to python in order to get rid of licensing problems and fully embrace the "open-sourceness" of this programming language. This video is a blessing!

[VALedu]

I have shared this link with almost 75 students of mine in the MAchine learning with PYthon class. You have made my job so much easier.. thanks a TON

[vittoriociardiello]

Believe me, you are one of the most useful channels about python. Thank you so much.
You would deserve much more subscriptions.
What about a cython playlist?

[flynnxd]

Super useful and engaging! Looking forward to the scipy and matplotlib ones.

[ayushkumarsharma]

Even after 2 years this is the most fun and informative video for numpy that i needed, really loved those exercises.
thank you for such an amazing content

[SubhadipDas]

Your tutorial are very easy to learn yet very concise, informative and in-depth. Please keep making such contents.

[nicoleworoniuk]

This is the best channel I have come across for python, as an engineering student, I am so grateful! Thank you !!

[Ali-pdrl]

It's awesome mate! Your videos about these libraries really help me, and of course these are very useful in my major (physics). Thank you 🙏

[davidhendriks]

Great video. Having some clear and complete tutorial on these topics is very useful!

[abishaimathai]

I hope the algorithm blesses you. Best tutorial for NumPy on the internet hands down.

[kekskekskeks]

Wow, thank you so much! Because of your explanation at 29:44 I just understood those slice-operations, I allways struggled with, fell like scales from my eyes :D

[bismillahyusufu]

For sure, you're the best Python teacher I have met so far on YouTube.
Thank you so much. God bless you

[frankkoslowski]

Nice and meaty tutorial. Have been going over it several times.
Cross-referenced many ideas and principles with information from other sources.
It can be said that If nothing else, the effort invested in studying the material,
has produced good fluency in typing LaTex Script,
and consequently, textbook-like IPython Notebook files.
Thank You!

[marioaguilar]

U got one more subscriber. Just found you by chance, and I appreciate.
Great tutoria and very clear explanations!!!

[amsal]

This video series is going to be great!

[AishikDasgupta-pmpl]

Thanks a lot mate. Please keep posting. I find these videos tremendously helpful for my Computational Nano electronics course.

[sietsebuijsman]

Very good tutorial, thank you! I was kind of figuring out Python by myself, but this helped me put everything in context. And this finally enables me to get rid of the for loops :'D

[marounrizk]

So underrated, what a great channel ! Thank you from a physics engineering undergraduate.

[NinjaMartin]

Man. So good. I really wish you the best, you are such a great teacher as well. Thanks for sharing your knowledge.