Terminal Talk

Frank and Jeff
Terminal Talk Podcast

Fresh talk about Enterprise Computing

  1. 03/08/2023

    Joe Bostian and Chad McIntyre - Python and Open Source Update

    Returning to the show are Python and Open Source Experts Joe Boston and Chad McIntyre. Keeping up to date on how Python on IBM Z is advancing and improving is important, and we've got an episode chock full of info. From packages to ports, AI to Flask, it's time to refresh that knowledge.    Auto-Generated Transcript (may not be 100% accurate) Frank Welcome to the Terminal Talk podcast on mainframe and mainframe related topics.  Jeff Frank Hi, Frank, It's really nice to meet you. I'm Jeff.  Frank And with us today, we have two very important guests. We have Chad MacIntyre, who is the lead for Python and U.S., and Joe Basson, who is the lead for Open Source NZ. And so both of these guys have been on the podcast before. You probably remember the great episodes that they did. Mm hmm. We wanted to kind of get together and hear about what's been happening since the last time they went on. Yeah, some good.  Jeff Sounds good to me.  Frank You feel so engaged as the important thing.  Jeff At least I'm not drawing this time.  Frank Yeah. So last time Jeff actually created a doodle of me that was maybe not the most complimentary. So it really felt like it was. It was with me, so.  Joe Yeah, I saw that, though. It was probably about the best Jeff could do, though, don't you think? Well, I.  Frank Thought about the.  Jeff Worst and not the.  Frank Worst. I'm going to make it my I'm my profile picture for the company.  Jeff For those in the room.  Frank And that's why.  Jeff I sent it to you, Chad. So you can see it, too.  Frank Okay. So let's start I think we'll start with the Python stuff, because some of that was has really changed quite a bit since last time we talked and. So, Chad, you want to talk about, you know, your adventures since the last time we talked to you?  Chad Certainly, Frank. So we've definitely been through a lot of growth and expansion, I would say, and exciting things going on in the Python universe. And just to kind of bring everybody up to speed in terms of some of the important things that are happening there. You know, Joe's on the call today for I'd say probably one of the things that's been troublesome. The most troublesome for everybody on the python front and those consuming packages. So you know, we'll get into that as we go down the line. So there's good news there. And the other one that everybody, I think from day one of release was asking was the question, you know, can Python run on Zips? And then the answer to that question was certainly no for quite a long time and has now changed within the last couple of months, too. Yes. So that's a very exciting development. And we're seeing a lot of people really interested in adopting Python workflows and running those things on the Atlas machines. Beyond that, you know, we've been doing our work to keep up with the community. So, you know, we're it's it's core to our mission to make sure that we've got the latest and greatest python supported on the platform. But not only that that we're making it take advantage of those special things that Z has to offer. Right. So in the latest release, 311, we've added support right within Python to take advantage of the enterprise data compression accelerators, accelerators. And so this is a nice feature because you get it for free, right? You don't have to do anything to kind of code to it or take advantage of it. If you've got them in there enabled, it will just work with Python. So lots of great work and lots of great developments on the Python side, and that's just a teaser from there.  Frank Well, in Python 311, across the board was a better performing python. Are we seeing that on the U.S.?  Chad Absolutely, yeah. So there's been some terrific work done in the community to rework some of the guts of the python the python implementation specifically to perform better. And so, you know, this was a concerted effort by the community to take a look at, you know, what are Python workflows, how do they

    46 min

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