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Hi. test the ThreadsX.sum(myvector) to see real speedup for the n = 2_000_000_000 case. Intereting to know what it does!! Great tutorial. Thanks

Hi, I'm running your code on a M2 pro, 32Gb RAM and 10 cores. The naive code runs in 22sec, but when wrapping the for loop into a function it runs in 14sec, and still have 700Mb allocated memory, strange, don't you think?

Very Nice! 🎉 Where i am able to download the programm for m5 cardputer? Greetings Julian

How do you enter an opening braket with julia using the powershell ?? It does not work ...

After wasting so much time on youtube the last days, I finally found something useful. Thank you! :)

Thanks so much

1:00 where can I find last week's GUI tutorial? Link please

Amazing video. Thank you so much!

Thanks Doggo! I have a video idea for you: I would love to learn about creating presentations/slides in Julia w/ interactivity and not. I see there are options, e.g., Pluto, Reveal.js, Vscode plugin, etc.

you are the best! thank you for doing god's work

Fantastic video and channel. Thanks.

your tutorials are incredible! Thank you

Incredible tutorials! Never seen something better than this, in any subject. Keep up the good work, and thanks!

thanks for sharing

then you take your newly learned NN home, happy it has now learned from the data. You start to play around with it and then you let the time progress beyond the set of data that was initially used, the model quickly separates of the reality. So for time evolving systems like physical system, this is of no help. at least no more than linear regresion or multiobjective optimization

saved my day!!! :)

I find those sliders annoyingly short, making it impossible to set an exact number that should be reachable. In case anyone else wants to make the sliders longer, the trick is to enter this into a cell anywhere in the notebook: html""" <style> input[type*="range"] { width: 400px; } </style> """ Instead of 400px or some other value like that, you could put 100% for the longest sliders fitting a cell.

calculators work man

greater than julia official tutorial ❤

Your videos are very well done. Thanks a lot for all your effort!!! PS: I've seen that your videos are already being referenced in some Julia projects, like RxInfer.jl!!

Can I use Julia to make animated mathematical functions? Like manim kinda stuff?

some of your codes does not work in my vscode. for example in the while loop example I get scope error so I have to define local-global variable or create function and use the while loop in that function.

bro can u please unhide the videos in this playlist? they're really helpful

why nobody download julia from its site ? does not necessary ? we do mingw for C.

Your video and teaching quality is high asf ty for spending this time and teach us the future

Hello, great video! Scientist here (just finished undergrad in physics, writing up my thesis about cosmology, preparing for master's soon). Some professors in my uni teach computational physics in Fortran (hybrid old/new style), my supervisors use it a lot, and I ported their code to standard-conforming F2008. I love the language, but of course I wouldn't be here if I didn't think we should consider switching to Julia!

Hello, the video on SVM is not available. Could you please upload it?

We need a combined video for all other playlist also

Great channel for learning Julia ! Great Job !

very wholesome :3

These videos are so great. Thanks 🙏

doggo i love u

can we use julia for pattern recognition and finding trends based on it with help of ML on a time series data?

wish i found you when i was learning C. great explanation and great examples, plus awesoe job with the memes. if you ever drop a [ython course, youd be doing us all a favor

Thanks man! Great content, as always.

Cool to learn about CxxCall.jl. I didn't know about it before. However, the last example is not a good example of OOP in C++. The speak() method is a classic example of method overloading, and in this simple example it works because we call it directly. speak() should be virtual. Then if there is a method defined in Pet that calls the speak() method, it will call speak() in Dog from the Dog class and in Cat from the Cat class. In the version from the example, the method inherited from Pet will always call the original one from the Pet class and not from the descendants.

Absolutely loved this

I tried doing this but my vscode would not evaluate and said it "cannot read properties of undefined (reading 'file')" and at the bottom of my screen where your screen said julia env v1.9, mine has been saying loading for a few minutes now.

I really liked your breakdown of the reasons for programming languages. As someone more from a engineering heavy background, I've seen the following to be true: Critical engineering (mistakes and resource consumption can have life or financially altering consequences): - C/C++ - Rust - Maybe Java - Verilog/VLSI - MATLAB/Simulink for system design that can be ported as code to real hardware. Playful engineering (resources don't matter, and what you build isn't the most critical thing): - Python (not MOJO, though, they've lied on their benchmarks). - Javascript - Ruby - PHP Critical research: - C/C++ - Julia - MATLAB, though I'm seeing Julia replacing it long-term. - STAN (for statistics stuff) - R As an engineer who has seen work for well over two decades, C/C++, Rust, and Julia are pretty safe bets. I know python too, but I've rarely seen it become production code for critical applications, only businesses with more money than they likely deserve (like the FAANGS). I could see someone using at least two of these for the rest of their careers regardless of the economic situation, though, engineering or not. Best of luck everyone, programming can be very fun. And if you love mathematics like me, you'll love Julia.

More please. Loving these tutorials.

very helpful series. gonna watch your other tutorials also. Thanks a lot for arranging this.

Please sir, may I have another?

4:39 you forgot love2d

More tutorials, please!

How do we get more of these videos?