Massively Speed-Up Python Code With Numba Compilation 

The best part in those tutorials is you encounter typical life problems like "why is this not working?", "doucmentation says..." and you don't cut those parts, which is cool and sometimes funny. I'll mess with this module, maybe it will speed up my code. Thanks for the video

The reason why it is not as big of a speed-up in numpy is, that most of the code is actually in C. Numpy uses C, the "range" function is also written in C.

The reason you didnt see a speedup is because you initialized x,y variables in the loop. Numba is best used if you pass x, y to the function. Based on personal experience

Great video dude, thank you :)

I’m curious about the comparison between numba, cython, mypyc, nuitka and others

Clean! Thx ripped guy

You are killing it with the topics lately. Everything you are talking about right now is what I'm interesting in!

Thanks, fantastic!

Hey you can use timeit module to measure the time which code took to execute

Your Chanell is very helpfully

I will be waiting for someone to invent 'pumba', the jit version of pandas

For pandas, you can specify engine="numba" for some methods inside the module

So last i checked your Cython video, Cython is literally better? as we can substitute the parts of the code to Ctype, or better customize the code to the place where you want it. I am actually looking to use this to speed up my kivy graphics execution. Numba seems easy but have to run checks whether it is working or not.

For ndarray calculations，numpy has beed optimized enough. To demonstrate numba love for loop, you shuld define the nest list instead of using numpy's zero((n,n))

The reason is numpy. Numpy functions are slower than the corresponding math... functions. It is written in the numba documentation. Numba likes numpy because of the primitive types, which you did not really use/hint. Ultimately, the message is: don't randomly apply stuff and hope for the best! The key to speed up any sort of code is profiling!

Does it make sence to use numba in combination with pypy interpreter? Or is it even possible?

can we use the same in Django projects were my functions are taking too long to execute?

Can you please talk about the stuff you are studying at university

Hey guys I am having issues implementing Numba. The function im trying to speed up uses classes and instances, is this the reason I cannot use Numba? Is Numba suppose to be compatible with classes we built ourselves? Thanks a lot

Sadly it doesn't seem to work with my pytorch code 😔

Will compiling and then turning to .exe vs just turning to .exe (with pyinstaller) make any difference? maybe this is a stupid question. I actually don't know how pyinstaller turns .py to exe.

@njit is an alias for @jit(nopython=True)

Some things: - JIT does not work very well with OOP, sadly. So you have to choose, order in your code vs. speed. - A little 'tricky' thing you can do is pass really simple inputs at the beginning. For example, for the np.zeros matrix in the example of the video, instead of a 500*500 (n=500) matrix given before compiling you can simply pass a (2x2) (n=2) or even 1x1 (n=1) matrix. Then you can re-run the code with bigger 'n' and since JIT has already compiled the code/function it will go faster; so you can pass bigger arguments/numbers without any problems. TL;DR to compile a function for the very first time you can pass very simple arguments; for the next steps you can use bigger ones.

Wow 😳

i dont try but not working.. still beter when i delete modul numpy.. this make me faster 1sec.. lol

Is the Jit limited to a specific older version of Python? I'm thinking about the lack of lambda implementation here.

Numba does not support ‘with (context manager) as (variable):’ construct!

Can I use numba and multiprocessing at the same time?

Yey

Thx_.

Also, should compare f vs cf, not f+compilation vs cf, to see the actual speedup

How do you deal with OOP? I have classes I want to speed up

If you can, learn the panda3d game engine

I think Cython have same functionality. Right? To speedup program.

First there was an ICO boom, then Defi, then NFT, and now everyone is crazy about RJV12 algorithm

Why talk about the growth of BTC if there is NFT and the RJV12 algorithm

lol

well, it wasn't a massive improvement according to this video!

First

2nd

Third

4th

is there really still a person who does not know about the existence of RJV12 algorithm?

thumb down for video in video

NEVER USE JIT COMPILERS (EVEN DOT NET) FOR SECURED, COMMERCIAL PROJECTS. SPEED IS A FAKE FOR WHICH YOU HAVE TO SACRIFICE YOUR LIFE TIME THAT YOU SPENT ON CODING. ANY DAY THE SOURCE CODE WILL BE REVERSED. THAT DAY YOU ARE NOT THE OWNER.

Guys! Just google: “RJV12 algorithm”! You will go nuts!