Basics of Python: Part 1 - Introduction

In a series of tutorial videos. we will go from knowing a little bit about python/programming to being able to derive, analyze, and solve complicated mathematical models using libraries such as numpy, scipy, sympy, and so much more.

This is a HANDS ON TUTORIAL. You need to open yourself up an interactive notebook, and not only code along, but experiment with various things. ENSURE that you understand something fully before moving on.

All code located here:

[kindoblue]

Luke, your channel is godsend. I hope you won't get tired of putting out content :)

[mildlyacidic]

Bro, every time you put out a video, I feel like I'm watching how everything should be. You are an artist man.

[alphazeta]

You are fabulous i dont know why there are not so many views. I searched almost 100 hours of videos and then find your so valuable videos Thanks to you. you are such a genius

[Clay_Irirs]

I think you have a great understanding of python. I would like to see more rudimentary topics in detail to get a better understanding of this tool. one concept I am wrestling with at the moment is what kind of structure does an array have. In excel if i create an array the form of the array is visible. It physically looks like a nXm matrix and where i can perform transformations (arithmetic, Boolean, h and v stack, sorting, column selecting, ... ect)

but in python I have to start from scratch. A video on this would be delightful.

[XgamersXdimensions]

Awesome! This series should be great for me. I watch your videos but I’ve only just started programming Python (taking a course in it this semester actually) so a lot of the stuff you showed I had no clue what was going on. Hopefully this series should help!

[fzdblsi]

one of the most useful Guide to python. And with Jupiter and not pycharm, finally. Thank you so much

[draeath]

It should be stressed that Conda is not the only (and in many cases isn't ideal) way to get this stuff. Miniconda is popular if you don't need the whole Conda set.

You can also typically get all this stuff via OS packages (if you're one Linux or BSD), or via pip - ideally in a virtual environment (or any number of venv/pip frontends) - and once you have the python basics down it's well worth looking into this.

Often my peers (statisticians etc) run into trouble with conda/miniconda that some rudimentary understanding virtual environments and pip would have resolved.

[theminertom]

Hi guy, I love your content and have just subscribed. However, in another one of your videos you suggested to join the "discord". I searched discord and did not see a channel with Mr. P Solver but I did see a hundred channels related to python itself. What do you suggest? Thanks and keep that great content coming.

[franciserzuah]

Waooo! You know how to teach. Salute!!!

[scienceaj]

Huge fan man, you are amazing at teaching <3

[connormorse]

This some good shit, I just did a module on numerical methods and this is next level stuff man

[snehanjan]

Sir please suggest some books for numpy, scipy, covering these topics: Interpolation, Differentiation, Integration, ODE-PDE solving etc, for my Physics course and for other advance mathametical, plotting, and Advance works.... Please sir...

[brisingreye]

So ermm.... how can I make the textbox with the big black latters and formulas etc XD?

[jwstc]

21 seconds in and my brain is going "this is me."

[rbux]

plz make a playlist and put these videos in there

[Aqua]

Isnt python pronounced as "pyth-un" 😂