Cython 3.0: Compiling Python to C, the next generation

The Cython project compiles Python to C -- not just to make code faster, but also to wrap external C libraries easily, and make it easy to write C extensions for Python generally. Cython 3.0 is a major overhaul of the project. Learn in this video what's new about it, why it's worth upgrading your Cython code to use its features, and some pitfalls to avoid along the way.
I talk more about the basics of Cython here:
www.infoworld....
More here about the CPython limited API, and other future changes to CPython:
www.infoworld....
-----------------------------­---
SUBSCRIBE: www.youtube.com...
FACEBOOK: / infoworld
TWITTER: / infoworld
WEBSITE: www.infoworld.com/

[@luabida]

Cython 3.0 release caused so much python packages to crash lately 😆 I NEED to get use to write cython alongside with my python code

[@mfatihaydogdu7]

Great video. Why not to make a tutorial series for Cython?

[@InfoWorld]

Yes, I have plans for more Cython videos on the way!
-Serdar

[@alicenogueira5972]

@@InfoWorld please do

[@UpYours101]

Thanks for the info.

[@nikolatrinh]

Hello, I just learned about Cython and I have a question. I want to package the Cython program into an .exe file to run on the Win10 operating system. I tried to do it with Pyinstaller like I did with the previous versions. Python files but without success. Looking forward to receiving an answer from you. Thank you very much.

[@zimrihidaf]

is there a way to get pytorch models through onnx or another medium to perform inference fast with cython code? for example if your game of like code was instead a simulation of some sort where predictions would need to be made from a neural network?

[@pietraderdetective8953]

hi Serdar, great video you got here!
A quick question: should we expect a lot of differences in execution speed between running Cython vs the pure python mode? I just did a quick test in Google Colab and the pure python implementation is like twice slower than Cython's speed.
Is this to be expected or something's wrong with my workflow?

[@pietraderdetective8953]

to be more precise, this is the performance numbers for a Fibonacci function:
*Python: 2.54 microsecond
*Cython: 211 ns
*Cython pure-python mode: 630 ns
--> as you can see, while the pure python mode is still significantly faster than the original Python code, but it's several magnitudes slower than the Cython code.

[@InfoWorld]

One thing to make sure of is whether or not you're using the correct types for your pure-Python implementation. For instance, an int type decoration is a Python int, not a C integer, so you need to use Cython's type decorations for ints to get C ints. You may want to use the source annotation feature, which generates a color-annotated version of your Cython source so you can see at a glance what parts of the code are still beholden to Python types, and what parts have been lowered to pure C.
-Serdar

[@blueman333]

One thing that has always restricted me to use cython was no proper way of handling matrices or strings as input to c functions. I wanted to input a matrix of strings into cython, and could not find a proper documentation

[@amirarjmand5295]

So is this tool not proper for ML (python to C++)?

[@BROTHERsGAMinglive]

please make tutorial for cython

[@SHONNER]

.pxd file? I'll have to check it out.