There he goes SymPying for science.

you must have read my mind! Just starting an in-depth course in classical mechanics, those symbolic Lagrangians will save me a lot of time, thank you! :)

You are really great at teaching, sir! I love the way you show examples, tracing back if something «went too fast». You dont assume we know all the small things you know so really well yourself, which is easy to forget about when explaining things in my opinion. Superb stuff!

Thanks, mate, this helps me a ton. I thought I'd need to completely switch to Mathematica for my project, but this gets me where I need to in Python. Much appreciated.

Thank you very much!!! We need more of these videos!! You’re the best!!

I was literally wishing you would do this video last week. AWESOME!

The Symbol definition right at the beginning was exactly what I need to perform my lengthy calculations ❤ Thx

So helpful and really well explained I love SymPy but I learned tricks from this video that I had never used! Thank you

The most helpful hour I've spent. Thanks sir. What's a gorgeous video!!! 🎉

As one of my profs says, "Super-Excellent" video! Thanks for the easy to understand walk through

Take this Mathematica subscription! Great videos!

Great work dude. Keep posting for us to learn. It really helped.

The default solution to `sols` on my system has turned out substantially more complex than shown in your video. Consequently, in order to obtain exactly the same results, smp.simplify() had to be added as such: sols[sp.diff(theta, t,t)].simplify() sols[sp.diff(z, t,t)].simplify() Frankly, I'm still awed by the fact that presumably, human engineers, had actually managed to create the SymPy algorithms capable of dealing with such complex expressions flawlessly.

Excellent lecture! You are a gem! Really appreciate your time and effort. Cheers!

Thanks for your efforts. Highly appreciated. Infact you are my online teacher. Thank you Sir

Ohh my, what a treat! Let's go!!

Thanks for keeping my request bro !✌

Swear to god, this dude creates the best fuckin content on this fuckin platform.

Thank you so much for the passionate courses! :)

as a CS student, there were only a only a few vids abt sympy on yt, it really healped

In segment 46 of the code the differential dh0dt is written wrong. It should be " -gt - v0" instead of "gt - v0"

Best video ever! Appreciate!

Aweasome! That was just what I needed to switch on Python

Great job buddy. Thanks for the dedication.

Excellent tutorial! Thank you very much. Please make one on Astropy also.

Awesome video! Thank you!

Wow, this looks like a great alternative for a licensed software like MAPLE. Again, the best video on SymPy on youtube, great job!

Everything I see on your videos, "Everything you do is great and keep it simple .. also even if it is not related to someone's field".

This is awesome!

Hey Mr. P Solver, great contents on your channel ! new subscriber here. I have a small suggestion, you could flip your camera recording horizontally and it would look like you're looking towards the right area on the screen.

Thank you, great tutorial!

Muito obrigado pelo excelente vídeo

Great stuff, thanks.

Excellent video, thank you very much! Not entirely related but do you have any book/course recommendation for an introduction to differential equations?

Thank you very much! Can you make a tutorial on TenPy?

Incredible good content. Thx a ton from Germany

Good job 👌

Thanks !!

6:36 for anyone confused, make sure tyo write variable. [THEN PRESS THE TAB KEY]

thank you very much legend!!!!

Outstanding contents! Wow!

Kudos to you.

Just Great!

Thank you 🙏🙏🙏

Thanks for SymPy tutorial. You are my Senpai.🥰

Nice stuff

Thank you

Would be nice if you present about holomorphic maps and iterations to generate fractals!

the r^3 thing was great :)

thanks!

Is there any function in sympy that solves improper partial fractional decomposition function?

How is your menu on pressing tab totally different from mine (yours have them sorted in instanced, functions , etc.)? Can you let me know (or make a video) on all the settings and extensions you have on your setup? Thank you!

Can we use sympy to simulate the behaviour of quantum entanglement

Thanks

Thanks for the video, is there a way to input a expression and then use it With sympy ?

thanks

Is this library can use with jupyter notebook only? Because I try run in vscode but it doesn't show the latex format in the vscode terminal

You are awesome.

Like a Boss.......................

thanks, very useful video! I tried to calculate the integral that is taken by residue (from the theory of a function by a complex variable) but sumpy give useless answer. Do you know how help program and give some advice that it is necessary to solve it residue? so my problem: integrated (dw/((w^2-1)^2+w^2) from -inf to +inf) I now answer, it very simple: pi

How do i setup jupyter to get all those cmd icons on top. I want to use them on w11 64 bit.!

At 26:20, I understand what is happening but I don't understand how the code works. f and g are first instantiated as `UndefinedFunction` type. How is it that I can call them right away with arguments. My understanding is you call a certain method of an object defined within its class type. But here we're calling the object itself? That feels kinda funky to me. What is going on?

If I have an array containing complex exponential functions then how can I Integrate it ?

12 mins into, I got this error: multiple generators [y, sin(y**2)] No algorithms are implemented to solve equation y*sin(y**2) + z** It seems I cannot find x,y,z values that make he function F = 0. Any suggestions?

Does anyone know how to define symbol as a binary variable? (so that you have b**2=b)

Is the wavefunction psi_10 not yet normalized?

Yo how do you insert your pictures in the markdown cell?

Great thanks for your work, is there some library to work with chemistry? Abilities of python are amazing!

In your example of falling object colliding with platform your dh0dt must be equal to -g*t - v0? Not g*t-v0.

Can Senpai be used by a visually impaired person that uses a screen reader notepad plus plus and python code?

So nice, I liked it twice.

Hi. Thanks for the video. I have a doubt: min 20:10 in line [46] dh0dt = g*t - v0? ... or dh0dt = -g*t - v0? Thanks again and excuse my bad english.

Where are you from? Where are you currently located?

mr. p solver be like :) perfect video

I don't get why you said that it's a good practice to use smp.Rational(1/2) instead of just writing 1/2 or 0.5 there. In larger problems, will the latter be not more time-saving in nature?

hey guys who knows how to install jupyter notebook to your laptop? i couldn't do it without anaconda. is there any other methods to do that?

How import sympy as smp in my laptop

please recommend best python book for such a scientific computing.......

Looks like a typo has occurred in your part of the code (2*n*(sp.factorial(n+l)))) \ If you look at the formula above you will see that it should be (2*n*(sp.factorial(n+1)))) \ leaving us with differing numeric results after substitution further down. Consequently: Interpreting the above formula correctly with SymPy results in a linear relationship with plt.scatter(ns, ds) and not an exponential one. I strongly feel that the discrepancy in the interpretation of the original formula ought to be double-checked, before more students who are not entirely on par with quantum mechanics find themselves stranded.

I think that there is a mistake in the first example. dh0tdt should be -gt-v0 instead of gt-v0 as presented.

20:19 how is it gt - (v0t) shouldnt it be -gt - v0t

Hydro wave equation: should be 2n[(n+l)!] in denominator and not 2n[(n+1)!].....

Jupiter stuff has such a small font that its almost unreadable by my eyes.

I wish you get admitted so we can see some formal lectures!

hi , can you make a movie teaching deep learning tensor algebra using numpy to construct??

Idea - What is energy? - My guess - If you iterate y = model(X) and loss = mean((X-y)**2) that is let y -> X an image then using only one image X it will succeed. But y will not become X completely there is a residual y = X + dX. Its the dX that is the universe energy. Change something with dX and the approximation of the function restores the energy to its vibrant small state. Small compared to the entire universe. Its like hydro if you place something infront of the flow of water it will move it same with dX differences. Thats is energy. So it open ups new opportunities. Energy is dependent on squaring a function the error. So if the err0(t[123]) ^ 2 = err1(t[123]) ^ 4 then you got much stronger energy. So accumulate energy from timed extraction for that super power.

These free libraries will probably eventually make Matlab and Mathematica go bankrupt!

if u use ``` from sympy import *``` it imports all the functionality of sympy without using smp.()

Dude as someone that's new to python but an experienced developer with a Physics undergrad... Python is the best and the worst of everything. The tools are incredible... but EVERYTHING. Literally everything apart from Numpy and Pandas and a few others use this insanely lazy and horribly put together auto-generated documentation. That will be the death of Python I promise.

mfw diff eq. class ain't so hard anymore :)

Call me a symp

nice tutorial, but pls don't call integrals antiderivatives xDD

the music is really annoying, ditch it or at least turn it down, just my two cents

This video takes my math friends to ⇨ SymPy :) Some people use: import sympy as sy, and .n() instead of .evalf() . Application for atom -- thanks for answering my childhood curiosity!

This is a good tutorial for replacing www.wikipedia.org/wiki/Abramowitz_and_Stegun

Thank you