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The content is great. Very clear explanation. The drinking noise in the video is kind of annoying though.

Thank you for putting these publicly accessible online!

Thanks for the video. During the calculation of Jacobian, as we know, the first equation does not contain x2 which means Jacobian term w.r.t x2 for equation 1 is 0. The question is, in AD when we calculate Jacobian does the code try to calculate 0 derivatives also?

I am surprised it hasnt got Matlab and mathematica out of business yet

Your videos on the series of numerical computing are great place to start. Keep up the great works dear sir :)

Wonderful content on Julia, please more content on intermediate Julia

great stuff!

Thanks for the great tutorials! Is there any advantage/disadvantage of using DIstributed.jl over MPI.jl?

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At 14'11 shouldn't it be (A::T, B::T) ?

There is a spelling mistake in 'Julia' in the title. Nice informative video.

Hello, great video as well as all your others on Julia. Can you recommend any good textbooks on DAE solvers? Thanks!

It's a gem

👍🥲

❤

Thank you very much for this video. Clear and concise

Very clean and informative video, thank you

Excellent Sir. Could you please also add a lecture about one-sided communication in mpi.jl.

Great videos!

Is there a way to initialize the project toml and test dir? Great stuff thank you

So impressive how the careful design of the language can have such consequences

Thank you for this video it is super helpful clarification to some of the ambiguity in the documentation! I am still wondering when would you use the mass matrix form vs the implicit DAE form? Is the implicit DAE form only necessary when there is nonlinearity with respect to the state variable derivatives?

Thanks for the video! By the way, I noticed you are using some sort of vim tool to edit the jupyter cells. Which tool is that?

Could you please post the link to the slack workspace? or i guess the link to the slides? thanks!

Excelent talk about types in Julia. This should be more spread in to the community for beginners.

Learn Julia from one of the most innovative professors at The University of Texas at Austin. Dr. Foster is a true Engineering Data Scientist.

gj thanks a lot dude

Thanks for the lecture. It is good to explore more on pandas. Just for a recap, can you please help me with the dataset. That will help me to practice more on pandas Dataframe

Great work professor.. Keep going i am extremely getting value here 🙏🙏🙏

Please upload more videos on reservoir engineering and simulation. Thanks in advance.