I watched it last night live. Thanks for organizing it and putting in all the effort. The live streams are definitely are my favorite in a way wherein the live chat you pick up questions and ask the guest. Makes the whole podcast turned into a live stream more engaging for us as the viewer.
@mikeckennedy3 жыл бұрын
Thanks, I'm glad you're enjoying the live stream. I do like how it opens another dimension of the experience and let's you all have a voice in the episode. :)
@pradhvanbisht21773 жыл бұрын
@@mikeckennedy Indeed. I try to catch as many live streams as I can of Talk Python as well as of Python Bytes just so I can try to interact with the guest and you folks. Which in the previous years would be only me listening with no interaction.
@nitin.cherian3 жыл бұрын
Thanks, Micheal. Glad to see the faces of people who are taking part in the podcast. Really like the prompt display of the relevant web pages/docs as the conversation takes place.
@mikeckennedy3 жыл бұрын
Thanks Nitin!
@alexanderscott24563 жыл бұрын
Michael, I've been looking forward to this interview all week.Thank you so much for the content. Keep up the excellent work.
@mikeckennedy3 жыл бұрын
Thanks Alexander, I appreciate it.
@vOVERip3 жыл бұрын
Awsome! Thank you so much for this interview and in generall for the whole podcast. I'm a big fan! I'm sorry for my english, but hope you get the intention. :)
@mikeckennedy3 жыл бұрын
Came through great, thanks so much!
@a4e69636b2 жыл бұрын
Can't wait for the JIT compiler. Thankfully we already have Numba.
@talkpython2 жыл бұрын
Indeed. There is a lot of room for improvement it sounds like. Happy Mark and Guido are working on it, as well as others.
@blueman3332 жыл бұрын
Numba still requires lots of restrictions which takes the fun out of python. Recently I wrote some code which was not so fast because of large for loops. So I thought I would just plug in JIT and have good results. But complicated classes along with third party libraries, I couldn't make it any faster. Neither with numba nor with drop in JIT compiler in python 3.10
@MagnusAnand3 жыл бұрын
What a fantastic talk
@mikeckennedy3 жыл бұрын
Thanks Guz!
@PaulJacobson3 жыл бұрын
Thank you for this one. I really enjoyed this.
@mikeckennedy3 жыл бұрын
Thanks Paul, glad you liked it. :)
@George-lt6jy3 жыл бұрын
I think this is a great idea, there should be more experimentation with CPython like this. The reference implementation has so much influence on the direction of the language. I love hearing that there is interest in improving in this direction and I look forward to see how these interesting ideas play out. From my point of view, I think they are approaching their changes in a responsible way. Maybe, down the line we can see some creative things.
@talkpython2 жыл бұрын
Thanks George. Definitely agree. There's a lot happening around performance all of a sudden. We have this work with Guido and Mark. There is Sam Gross's work. There's Anthony Shaw's work. And the core devs are compiling cpython down to web assembly. I'm sure something cool will come from all of this and other initiatives.
@planetarylizard12973 жыл бұрын
Great topic, great guests!
@muratahmetgenc6942 Жыл бұрын
it's a very long video, how do we do it, in short. cython?
@shalokshalom Жыл бұрын
Codon is an alternative compiler, that is still WAY faster than Python 3.11
@ORood3 жыл бұрын
Nice 👍
@hamkaprastika22512 жыл бұрын
I dоwnloaded everything is okay
@AxiomPrime692 жыл бұрын
I would like to see Python foundation transform into a DAO built on Algorand. I think governance run by dev contributors and tokenomics could provide more resources for the foundation.
@talkpython2 жыл бұрын
Non-profits have issues, but I think a DAO on Algorand might destabilize it more than help.
@kyuss0x13 жыл бұрын
nogil python is more interesting idea
@mikeckennedy3 жыл бұрын
Hey, yes, Sam's nogil idea is interesting. Two things: 1. This has been going for over a year, Sam's nogil work was announced last week. 2. They are multiplicative. If Guido and Mark make Python 5x faster, as they say. And Sam makes Python 95% scalable for "embarrassingly parallel" problems, combining them, say on a 10 core machine would make it 48x faster. That is more interesting than both 5x and 10x (each project alone).
@kyuss0x13 жыл бұрын
boring
@mikeckennedy3 жыл бұрын
If you were bored, then maybe this isn't for you then. Also, try to think of the hard work that people put into things before you insult them. You could be way less of a jerk if you said, "this was boring because x, y, and z, but would have been amazing if you did u & v." But no, you're not a builder. You're not a creator. You're just a low-life who complains and doesn't contribute.
@kyuss0x13 жыл бұрын
still boring
@ChuckVenter3 жыл бұрын
Not helpful
@biskitpagla2 жыл бұрын
this is a certified "zoomer who just started learning programming with python" moment