WEBVTT 00:00:00.001 --> 00:00:04.640 Hello and welcome to Python Bytes, where we deliver Python news and headlines directly to your earbuds. 00:00:04.640 --> 00:00:10.220 This is episode 258, recorded November 10th, 2021. I'm Michael Kennedy. 00:00:10.220 --> 00:00:11.500 And I'm Brian Okken. 00:00:11.500 --> 00:00:12.980 And I'm Karen Dalton. 00:00:12.980 --> 00:00:13.620 Yay. 00:00:13.620 --> 00:00:16.260 Yay. Welcome, Karen. So good to have you here. 00:00:16.260 --> 00:00:22.060 It is quite a delight and an honor. I've been a longtime fan, as they say on the radio, 00:00:22.060 --> 00:00:30.720 a longtime listener, first time caller of both of your podcasts and books and Slack channels and training. 00:00:30.720 --> 00:00:33.100 And so I'm really excited to be here. 00:00:33.100 --> 00:00:35.960 Well, thanks for being part of the community in all those ways. 00:00:35.960 --> 00:00:40.780 And you and I got to meet down at Pi Bay in San Francisco. That was a lot of fun. 00:00:40.780 --> 00:00:44.460 Yeah. I don't know if Brian knows. 00:00:44.460 --> 00:00:48.760 I arrived at Pi Bay and I was going to be one of the emcees. 00:00:49.180 --> 00:00:53.200 And I saw Michael Kennedy, who I cherry picked to introduce. 00:00:53.200 --> 00:00:57.860 I, you know, I was one of the organizers and emcees for the event. 00:00:57.860 --> 00:01:01.540 And I approached him and overwhelmed him. I'm like, you're a super fan. 00:01:01.540 --> 00:01:10.500 And he was like, so, but he was very gracious about, about being a fangirled just at the registration table. 00:01:10.500 --> 00:01:13.500 Yeah, no, you, you were great to help me out with the talk. Thank you so much. 00:01:13.500 --> 00:01:18.120 And hey, it's Anthony Shaw on the live stream. Hey, says, hi, Karen. Great to have you on the show. 00:01:18.120 --> 00:01:18.760 Nice. 00:01:18.760 --> 00:01:19.560 Hi, Anthony. 00:01:19.560 --> 00:01:27.580 Anthony and I just did a show on Pigeon, P-Y-J-I-O, and the JIT compiler that he just released version 1.0. 00:01:27.580 --> 00:01:32.020 That's that Hawk Python episode will be out today, tomorrow. Fingers crossed very, very soon. 00:01:32.020 --> 00:01:36.840 So stay tuned for more on that. But let's start with whatever you brought us, Brian. 00:01:36.840 --> 00:01:38.560 Well, number one. 00:01:38.560 --> 00:01:43.320 Well, I figure we really need to talk about Will McCoogan because, you know, get that. 00:01:43.320 --> 00:01:44.820 Has it been a show since we've done that? 00:01:46.040 --> 00:01:50.860 So just get that out of the way. So on Twitter, Will asked a general question to everybody. 00:01:50.860 --> 00:01:59.060 Something like if I've got an open source project and somebody files an issue with it, but I have a question about it. 00:01:59.300 --> 00:02:04.120 And I asked them a question and they don't ever respond for a really long time. 00:02:04.120 --> 00:02:08.760 So is there a way to just automatically clean those up or clean them up easily? 00:02:08.760 --> 00:02:15.880 Because we could just assume that the person has figured out or solved the problem or it's not a problem anymore or they don't care. 00:02:16.040 --> 00:02:22.540 So one of the responses, which I liked, which I thought was pretty cool, was a bot, a GitHub bot. 00:02:22.540 --> 00:02:24.900 It's actually from GitHub. 00:02:24.900 --> 00:02:28.000 It's a bot called Stale. 00:02:28.200 --> 00:02:31.660 So it's a bot that closes stale issues and PRs. 00:02:31.660 --> 00:02:42.580 And the gist of it, like on the 10, it says it warns and then closes issues and PRs that have had no activity for a specified amount of time. 00:02:42.580 --> 00:02:43.640 That sounds perfect. 00:02:44.640 --> 00:03:02.180 Configuration must be on the default branch and the default values will be it will add a stale label to issues or PRs that are six with after 60 days of inactivity and close stale issues or PRs after seven days of inactivity. 00:03:02.180 --> 00:03:06.540 And if an update or comment occurs during that time frame, it restarts the clock. 00:03:06.540 --> 00:03:15.580 But all of those are not for me, since I'm an open source maintainer, but I don't like sometimes I don't pay attention to them for a couple months. 00:03:15.580 --> 00:03:26.140 I would definitely want to bump that up to make sure that it's at least within my time frame so that, you know, my own if my own inactivity problems might not be the case. 00:03:26.140 --> 00:03:27.900 So I totally hear that. 00:03:27.900 --> 00:03:32.940 I would love to see one minor change, one more bullet point on the things it does. 00:03:33.400 --> 00:03:37.220 Add a stale label after 60 days, close it after seven days of inactivity. 00:03:37.220 --> 00:03:40.040 A comment will bring it back. 00:03:40.040 --> 00:03:46.500 But I would love to see this bot put a comment on there saying, if we don't deal with this, it's going away. 00:03:46.500 --> 00:03:49.580 That way, the people who submitted the PR will get an email. 00:03:49.580 --> 00:03:51.380 The maintainer will get an email. 00:03:51.380 --> 00:03:57.180 And so like you're notified the seven day clock has begun, you know, Karen, you're shaking your head. 00:03:57.180 --> 00:04:02.740 Yeah, I mean, I've certainly seen it on open source repos. 00:04:02.740 --> 00:04:06.680 And it's it's nice to have that there. 00:04:06.680 --> 00:04:12.240 But sometimes it's an issue that's important to you and you don't want it to necessarily go away. 00:04:12.240 --> 00:04:18.020 Like and I wish there was a way to like say this is actually really important to me. 00:04:18.020 --> 00:04:19.940 Please don't close it even if you can't pay attention. 00:04:20.180 --> 00:04:21.220 Yeah. 00:04:21.220 --> 00:04:24.100 Well, there's for instance, I'm in one of the settings. 00:04:24.100 --> 00:04:24.980 There's a bunch of settings. 00:04:24.980 --> 00:04:28.720 One of the settings is a stale issue message or comment on stale issue. 00:04:28.720 --> 00:04:30.760 So unless you got it, it does. 00:04:30.760 --> 00:04:31.660 I thought about it already. 00:04:31.660 --> 00:04:32.420 That one. 00:04:33.100 --> 00:04:38.200 And I think there's exempt issue labels, labels on issues exempted. 00:04:38.200 --> 00:04:42.880 So you can mark something as, you know, keep this around or something. 00:04:42.880 --> 00:04:46.240 Oh, so see, I don't have that window up. 00:04:46.240 --> 00:04:46.820 So I didn't scroll. 00:04:46.820 --> 00:04:47.260 Perfect. 00:04:47.260 --> 00:04:47.860 Yeah. 00:04:47.860 --> 00:04:49.000 So that's what I need. 00:04:49.000 --> 00:04:50.900 Looks like this looks well thought out then. 00:04:50.900 --> 00:04:51.600 I love it now. 00:04:51.600 --> 00:04:52.200 Yeah. 00:04:52.200 --> 00:04:58.040 And it's been around for a while and it's got like, I guess only four, 498 stars, but it'll 00:04:58.040 --> 00:04:59.980 be more than that after we do this show. 00:04:59.980 --> 00:05:00.720 That's right. 00:05:00.720 --> 00:05:01.460 Exactly. 00:05:01.780 --> 00:05:03.220 It'll be at least 500. 00:05:03.220 --> 00:05:04.000 Yeah. 00:05:04.000 --> 00:05:04.820 499. 00:05:04.820 --> 00:05:08.620 No, this is a great find. 00:05:08.620 --> 00:05:09.380 I really like it. 00:05:09.380 --> 00:05:10.420 So yeah. 00:05:10.420 --> 00:05:11.260 Good one, Brian. 00:05:11.260 --> 00:05:11.800 Yeah. 00:05:11.800 --> 00:05:16.320 I think I'm really impressed with GitHub that they've added so many features. 00:05:16.320 --> 00:05:18.260 I use it more than I have GitLab. 00:05:18.260 --> 00:05:25.020 So GitLab may have as many, you know, in all fairness, but GitHub has added lots of cool 00:05:25.020 --> 00:05:28.420 features and ongoing development to make things easier. 00:05:29.260 --> 00:05:33.940 As you know, many things have evolved, lots more features added, but things like this 00:05:33.940 --> 00:05:35.860 that make it easier to maintain things. 00:05:35.860 --> 00:05:36.100 Yeah. 00:05:36.100 --> 00:05:40.060 I'm really happy with the way, the direction of GitHub these days. 00:05:40.060 --> 00:05:41.540 So it seems like it's going really well. 00:05:41.540 --> 00:05:42.020 Yeah. 00:05:42.020 --> 00:05:42.260 Yeah. 00:05:42.260 --> 00:05:43.100 I'm definitely happy there. 00:05:43.100 --> 00:05:44.040 I use both. 00:05:44.160 --> 00:05:49.980 I like them both, but GitHub definitely has a focus on the, or at least it feels like 00:05:49.980 --> 00:05:52.600 it's listening to open source maintainers and their needs. 00:05:52.600 --> 00:05:53.160 Yeah. 00:05:53.160 --> 00:05:53.700 For sure. 00:05:53.700 --> 00:05:54.080 For sure. 00:05:54.080 --> 00:05:54.780 All right. 00:05:54.840 --> 00:05:58.280 So I want to show you another one that I think also may involve Wilma Guggen. 00:05:58.280 --> 00:05:59.640 I got to do a quick check here. 00:05:59.640 --> 00:06:02.300 It is called Jut, Jut, Jut. 00:06:02.300 --> 00:06:04.240 Maybe if you're, you're German, it's Jut. 00:06:04.240 --> 00:06:05.080 I don't know. 00:06:05.080 --> 00:06:09.000 But we could look at the Pyre Project Tom and see if Rich is in here. 00:06:09.000 --> 00:06:09.780 It is. 00:06:09.780 --> 00:06:10.040 Okay. 00:06:10.100 --> 00:06:13.400 So yeah, it definitely involves Rich and Wilma Guggen. 00:06:13.400 --> 00:06:20.000 And what it is, is it's a renderer, not a interactive environment, but a renderer for Jupyter 00:06:20.000 --> 00:06:20.400 notebooks. 00:06:20.400 --> 00:06:26.420 And we've had that, you know, in B viewer, things like that, like on the web, but this 00:06:26.420 --> 00:06:28.060 one is in your terminal. 00:06:28.060 --> 00:06:29.320 So here's the scenario. 00:06:29.320 --> 00:06:33.580 Like you're in the terminal remote, maybe SSH into a remote machine. 00:06:33.580 --> 00:06:36.760 And you're like, oh, there's this notebook file that what the heck is this? 00:06:36.760 --> 00:06:37.720 You know, what is it? 00:06:37.720 --> 00:06:40.120 I'm like, I don't have a browser or whatever. 00:06:40.120 --> 00:06:44.880 And so the way that it works, let me pull up this little animation for everyone and have 00:06:44.880 --> 00:06:49.900 it go is if you're somewhere, you just say, I'm going to go with Jut, Jut, give it a URL 00:06:49.900 --> 00:06:52.440 and you can literally give it something off of the internet. 00:06:52.440 --> 00:06:54.700 And you can even give it like tail command. 00:06:54.700 --> 00:06:58.520 So I want to see the last 10 cells instead of lines. 00:06:58.520 --> 00:07:05.340 And it uses Rich to colorize and style what the notebook has, including the data cells, 00:07:05.340 --> 00:07:08.340 as well as the actual output, the computation. 00:07:08.340 --> 00:07:12.100 You know how the notebooks will store their output from the last time they were run unless 00:07:12.100 --> 00:07:12.620 you clear them. 00:07:12.620 --> 00:07:13.760 It'll show that as well. 00:07:13.760 --> 00:07:14.560 What do you all think? 00:07:14.560 --> 00:07:16.040 I love that. 00:07:16.040 --> 00:07:21.860 I mean, there's there's sometimes you get a file and you just want to check some introspect, 00:07:21.860 --> 00:07:23.180 some portion of it. 00:07:23.180 --> 00:07:26.820 And you can't just do more for cat on a Jupyter notebook. 00:07:26.820 --> 00:07:28.760 Yeah, you get something completely wrong. 00:07:28.760 --> 00:07:33.940 And I don't sometimes in the space that you're in, you don't you just want to quickly be able 00:07:33.940 --> 00:07:36.020 to check what it is and move on. 00:07:36.020 --> 00:07:38.460 And so I love that. 00:07:38.460 --> 00:07:39.620 And I love Rich. 00:07:39.620 --> 00:07:44.560 That's that it's, you know, the color, the colorized terminal is really helpful. 00:07:44.560 --> 00:07:49.500 Honestly, it might have better syntax highlighting than notebooks themselves. 00:07:51.000 --> 00:07:52.160 Brian, what were you going to say? 00:07:52.160 --> 00:08:01.300 No, no, just I love I really like the focus on the of tools making things usable on command 00:08:01.300 --> 00:08:03.500 line because I'm a command line lover. 00:08:03.720 --> 00:08:08.280 And I mean, I've got nothing against doing notebooks in on the web browser. 00:08:08.280 --> 00:08:14.640 But things like this make it possible to do things like put them in a pipeline and automate 00:08:14.640 --> 00:08:15.980 them more easily. 00:08:15.980 --> 00:08:21.660 And like this, it's not really automating using the notebook, but it might be you might make 00:08:21.660 --> 00:08:25.100 sure that like something is, you know, a regression thing. 00:08:25.100 --> 00:08:30.020 You want to make sure that things are visible so you can use this to to grab grab one off your 00:08:30.020 --> 00:08:32.320 repo or something and make sure nothing weird happened. 00:08:32.400 --> 00:08:33.380 Yeah, for sure. 00:08:33.380 --> 00:08:34.160 Yeah, it looks good. 00:08:34.160 --> 00:08:39.060 And to bring it back around full circle, Will McGugan out in the audience says, neat, that's 00:08:39.060 --> 00:08:39.600 a new one for me. 00:08:39.600 --> 00:08:39.940 Hey, Will. 00:08:39.940 --> 00:08:45.200 Yeah, it's always fun to show you projects using your library because there's a bunch of 00:08:45.200 --> 00:08:45.820 cool ones out there. 00:08:45.820 --> 00:08:46.380 Awesome. 00:08:46.380 --> 00:08:47.140 All right. 00:08:47.140 --> 00:08:50.800 Well, I'm not sure what else I have to say about this one other than it was sent into 00:08:50.800 --> 00:08:51.780 us by KidPixo. 00:08:51.780 --> 00:08:52.860 Thank you for that. 00:08:52.860 --> 00:08:53.960 That was awesome. 00:08:53.960 --> 00:08:54.960 Keep them coming. 00:08:54.960 --> 00:08:56.440 He sent a bunch of things along. 00:08:56.440 --> 00:09:00.660 Like I said, you can display the different cells like the first five, last five, you know, 00:09:00.660 --> 00:09:01.700 whatever you want to pass over. 00:09:01.700 --> 00:09:04.820 You can also do things like show it to me just in plain text. 00:09:04.820 --> 00:09:07.380 If you for some reason want to copy it and you don't want the formatting. 00:09:07.380 --> 00:09:09.840 Pretty straightforward to use, but also really nice. 00:09:09.840 --> 00:09:11.080 All right, Karen, you're up next. 00:09:11.080 --> 00:09:14.680 Adding on to the Jupyter thread. 00:09:15.380 --> 00:09:18.880 One of the interesting things that's coming out is Jupyter Lite. 00:09:18.880 --> 00:09:25.720 It's, it is being developed by core Jupyter developers, but it's still unofficial. 00:09:25.720 --> 00:09:28.520 And one of the nice things is static. 00:09:28.520 --> 00:09:34.520 And if you share it with somebody, they can just go to a web page and you can just, you 00:09:34.520 --> 00:09:35.260 can cache it. 00:09:35.260 --> 00:09:39.520 So you don't have to have a Jupyter notebook server running. 00:09:40.120 --> 00:09:41.540 It's a static page. 00:09:41.540 --> 00:09:44.140 Obviously there's JavaScript and other elements involved. 00:09:44.140 --> 00:09:47.820 And so if you just click on one of those things, try it with JupyterLab. 00:09:47.820 --> 00:09:51.060 It takes you to a browser that window. 00:09:51.060 --> 00:09:53.000 It says, as you can see, it's a static page. 00:09:53.000 --> 00:09:56.100 It's going to take a second to come up because it's got some JavaScript. 00:09:56.100 --> 00:10:02.040 And if you click on that pile light and then just do like an import this to see a standard 00:10:02.040 --> 00:10:03.060 kind of notebook. 00:10:03.260 --> 00:10:03.620 Yeah. 00:10:03.620 --> 00:10:05.400 It has a little, it has a notebook tour. 00:10:05.400 --> 00:10:10.780 If you do an import this, which is a standard kind of test to do the Python mantras, it, 00:10:10.780 --> 00:10:14.520 you know, it runs simply and that's all just running in a browser. 00:10:14.520 --> 00:10:21.880 So obviously it's, if you wanted to share things with some, somebody it's, it's an 00:10:21.880 --> 00:10:23.540 easy way for them to see it. 00:10:23.540 --> 00:10:27.860 You would just send them that file and they can open it up and do some additional things. 00:10:28.040 --> 00:10:35.380 It's probably, you won't want to run your core data pipelines in a static web browser window, 00:10:35.380 --> 00:10:38.380 but it does allow you to do a variety of things. 00:10:38.380 --> 00:10:43.260 and there's some sample notebooks included with it that let you do some, some things. 00:10:43.260 --> 00:10:48.620 So you can run through either step-by-step, that you can actually add text into, as you 00:10:48.620 --> 00:10:50.040 saw into the window. 00:10:50.040 --> 00:10:57.180 So it's, it's a nice feature ad, to be able to run, a notebook in a browser window 00:10:57.180 --> 00:11:00.900 and show some examples of your code in a static way. 00:11:00.900 --> 00:11:06.160 I know that, you know, people have sent me Jupyter notebooks or shared them, or sometimes you can 00:11:06.160 --> 00:11:06.940 see them on GitHub. 00:11:06.940 --> 00:11:11.220 There's even tools now that you can do, get diffs. 00:11:11.220 --> 00:11:15.860 there's a service that allows you to do diffs of Jupyter notebooks that you can do that 00:11:15.860 --> 00:11:17.360 for your full request reviews. 00:11:17.700 --> 00:11:21.600 But, sometimes it's nice to be able to see, like, I would like to change this a little 00:11:21.600 --> 00:11:23.940 bit without like starting up a server yourself. 00:11:23.940 --> 00:11:25.520 So, yeah, yeah. 00:11:25.520 --> 00:11:26.980 We've been able to host these. 00:11:26.980 --> 00:11:30.920 We've been able to set up notebook servers and host them, but there's issues with letting 00:11:30.920 --> 00:11:31.760 people run code. 00:11:31.760 --> 00:11:32.900 Maybe you don't want to let them run it. 00:11:32.900 --> 00:11:33.940 It's only street only. 00:11:33.940 --> 00:11:38.120 And so, but this is cool because it will let you run it in the browser, right? 00:11:38.120 --> 00:11:40.080 Which is using WebAssembly. 00:11:40.080 --> 00:11:41.700 Yeah, exactly. 00:11:41.700 --> 00:11:46.720 And they, you can have the JupyterLab look or kind of retro look, 00:11:46.980 --> 00:11:50.120 which is just very minimalist without that kind of UI. 00:11:50.120 --> 00:11:52.760 So it's, it's a really nice feature. 00:11:52.760 --> 00:11:54.500 I've never tried retro lab. 00:11:54.500 --> 00:11:55.120 Yeah. 00:11:55.120 --> 00:11:57.780 It's just a more of a basic, like, file list. 00:11:57.780 --> 00:11:58.740 It doesn't have that. 00:11:58.740 --> 00:12:04.860 it doesn't have that nice kind of look and feel of the newer version of JupyterLab, 00:12:04.860 --> 00:12:06.180 but it works. 00:12:06.180 --> 00:12:06.760 Yeah. 00:12:06.760 --> 00:12:07.320 Fantastic. 00:12:07.320 --> 00:12:11.840 Just run all the cells and it runs, I guess, in WebAssembly. 00:12:11.840 --> 00:12:12.520 Super cool. 00:12:12.940 --> 00:12:13.980 Oh yeah, that's a, that's a good one. 00:12:13.980 --> 00:12:14.720 Brian, what do you think? 00:12:14.720 --> 00:12:16.680 A simple, pip install. 00:12:16.680 --> 00:12:23.640 And then you, you run another command as to, it, to generate all the JavaScript and 00:12:23.640 --> 00:12:24.400 things it needs. 00:12:24.400 --> 00:12:29.840 And then once that index file is made, that directory is made, then it's really easy. 00:12:29.840 --> 00:12:35.280 You just open up that index.html on your, on your, you can run it on localhost. 00:12:35.280 --> 00:12:39.900 You can Python start at HTTP server with a, you know, easily with Python three. 00:12:40.040 --> 00:12:42.060 So that it will serve that page as well. 00:12:42.060 --> 00:12:47.540 You can even deploy it to GitHub pages or something like Netlify or some other static host. 00:12:47.540 --> 00:12:48.000 Yeah. 00:12:48.000 --> 00:12:48.800 Pretty sweet. 00:12:48.800 --> 00:12:53.660 I definitely think, I agree that, that you don't want to do big, heavy workloads on this, 00:12:53.660 --> 00:12:58.900 but I, especially for graphing and interactive stuff and, just like tweaking the data a 00:12:58.900 --> 00:12:59.260 little bit. 00:12:59.260 --> 00:13:03.840 I think this is amazing to be able to, especially for, reports and things. 00:13:04.160 --> 00:13:06.700 there's a lot of, a lot of places where this is useful. 00:13:06.700 --> 00:13:07.160 Yep. 00:13:07.160 --> 00:13:11.660 And you have no security issues or worried about people running code or messing with it 00:13:11.660 --> 00:13:13.700 because whatever they do, they're doing this themselves. 00:13:13.700 --> 00:13:14.240 Yeah. 00:13:14.240 --> 00:13:15.200 Exactly. 00:13:15.200 --> 00:13:15.800 Right. 00:13:15.800 --> 00:13:21.660 There's no little Bobby tables issues that you have to worry about with a static web browser 00:13:21.660 --> 00:13:22.420 on your site. 00:13:22.420 --> 00:13:23.040 Yeah. 00:13:23.040 --> 00:13:25.660 You definitely want to lower your surface area there. 00:13:25.660 --> 00:13:27.500 All right, Brian, a bit of an intermission. 00:13:27.500 --> 00:13:28.240 Yeah. 00:13:28.240 --> 00:13:30.880 let's talk about, our sponsor today. 00:13:30.880 --> 00:13:33.240 So today's sponsor is shortcut. 00:13:33.240 --> 00:13:36.040 Shortcut, which is formerly clubhouse. 00:13:36.040 --> 00:13:37.960 And thank you for sponsoring the episode. 00:13:37.960 --> 00:13:42.700 There are a lot of project management tools out there and I've used, I've used a ton of 00:13:42.700 --> 00:13:46.020 them, but most suffer, suffer from a few common problems. 00:13:46.020 --> 00:13:49.200 They're either too complex and it's hard to get started. 00:13:49.200 --> 00:13:52.100 And there's all tons of options all the time. 00:13:52.100 --> 00:13:54.860 Get you, make you confused or they're too simple. 00:13:54.860 --> 00:13:59.240 And you really, you can get started on one project, but you can't use it for multiple projects 00:13:59.240 --> 00:13:59.780 and stuff. 00:13:59.920 --> 00:14:05.460 or they seem to be like geared towards managers, but difficult for engineers or geared 00:14:05.460 --> 00:14:07.260 towards engineers and difficult for managers. 00:14:07.260 --> 00:14:09.540 I think shortcut is different. 00:14:09.540 --> 00:14:15.380 So shortcut is built for software teams and based on making workflows easy, which I like. 00:14:15.380 --> 00:14:22.040 So let's say you have a big scale objectives, goals, and roadmaps, topics in those and 00:14:22.040 --> 00:14:27.800 items in those, big goals and roadmaps can easily be tied to teams and individual work 00:14:27.800 --> 00:14:33.000 sprints and progress on those can be easily, easily flow back into reports at the top level. 00:14:33.000 --> 00:14:34.000 It's keyboard friendly. 00:14:34.000 --> 00:14:36.520 So you can hook up short codes and stuff. 00:14:36.520 --> 00:14:41.740 So, you don't, the UI is intuitive and it's pretty easy to use, but, the things 00:14:41.740 --> 00:14:45.660 you do every day, you can tie those to keyboard shortcuts and make them even faster. 00:14:45.660 --> 00:14:48.060 And it has tight VCS integration. 00:14:48.060 --> 00:14:55.980 So you can update your task process progress by just adding a comment or a, a little key 00:14:55.980 --> 00:14:59.180 code into your commit or PR and it flows back upstream. 00:14:59.180 --> 00:15:00.060 This is really cool. 00:15:00.060 --> 00:15:02.240 iteration planning is also a breeze. 00:15:02.240 --> 00:15:06.800 You can see your activity team activity when you need it, but you can see your own work 00:15:06.800 --> 00:15:08.420 really easily when you need that too. 00:15:08.420 --> 00:15:13.180 And burden down charts and cycle time and lead time charts are just built in for you. 00:15:13.180 --> 00:15:15.680 it's really, really great to see all that. 00:15:15.680 --> 00:15:19.120 so finally a project management tool for both engineers and managers. 00:15:19.120 --> 00:15:22.600 Give it a try at shortcut.com slash Python bytes. 00:15:22.600 --> 00:15:23.320 Awesome. 00:15:23.320 --> 00:15:24.080 Thanks shortcut. 00:15:24.080 --> 00:15:29.140 Hey, Brian, before we move on to your next item that Jupyter light was sent in by Marcel 00:15:29.140 --> 00:15:29.640 Millicent. 00:15:29.640 --> 00:15:31.760 So thank you, Marcel for sending that over. 00:15:31.760 --> 00:15:32.360 Yeah. 00:15:32.360 --> 00:15:32.720 Nice. 00:15:32.720 --> 00:15:33.300 Yeah. 00:15:33.300 --> 00:15:37.420 We always appreciate when our listeners help us do our research because they have all these 00:15:37.420 --> 00:15:39.120 ideas that we don't know about. 00:15:39.120 --> 00:15:40.000 Yeah. 00:15:40.000 --> 00:15:40.780 So yeah. 00:15:40.780 --> 00:15:41.820 Thanks for picking that up. 00:15:41.820 --> 00:15:43.160 for sure. 00:15:43.160 --> 00:15:44.300 Yeah, of course. 00:15:44.300 --> 00:15:48.160 Well, act, act now when supplies are limited. 00:15:48.380 --> 00:15:51.260 no, I don't actually use that. 00:15:51.260 --> 00:15:52.360 Wait, wait more. 00:15:52.360 --> 00:15:53.180 Yeah. 00:15:53.180 --> 00:15:55.760 I want to talk about grep a little bit. 00:15:55.760 --> 00:16:02.640 I, I use grep all the time for, for finding stuff within my codes, command line 00:16:02.640 --> 00:16:05.140 tool for finance, finding stuff in files. 00:16:05.280 --> 00:16:09.180 And, I'm not going to cover it in the show, but I threw in, in the show notes, if 00:16:09.180 --> 00:16:13.080 you're not, if you don't use grep or tools like grep, I threw in a couple of examples 00:16:13.080 --> 00:16:15.220 in the show notes to get you started real easily. 00:16:15.460 --> 00:16:18.180 It's a, I think, I think it's useful to find stuff. 00:16:18.180 --> 00:16:23.000 one question I did have is like, I've got a command sequence in the show notes that I'd 00:16:23.000 --> 00:16:24.420 like to have people take a look at. 00:16:24.420 --> 00:16:31.560 I don't have a screenshot for it, but, if I want to find like say foo in, in recursively 00:16:31.560 --> 00:16:34.800 in all the, all the folders and directories, I can do that easily. 00:16:34.800 --> 00:16:41.100 and I want to try to eliminate a directory, like don't look in my virtual environment folder. 00:16:41.100 --> 00:16:45.020 I've got a weird thing about using just grep and then piping it to another grep. 00:16:45.020 --> 00:16:46.420 I don't know how to do it easier. 00:16:46.420 --> 00:16:47.660 So please help me out. 00:16:47.660 --> 00:16:53.680 But anyway, this article, I'm, I'd like to point to is called feature comparison 00:16:53.680 --> 00:16:59.420 of ack, silver surfer, get grep, new grep and rip grep. 00:16:59.420 --> 00:17:01.900 and this is actually really cool. 00:17:01.900 --> 00:17:07.640 So it's, it's, put out by the ack people themselves at beyond grep.com. 00:17:07.640 --> 00:17:14.000 Ack is a, kind of a grep alternative that's written in Perl, but this comparison chart says, 00:17:14.000 --> 00:17:16.620 um, we need more comparison charts like this. 00:17:16.780 --> 00:17:21.580 And, and, and it had, it compares all these different alternatives to grep. 00:17:21.680 --> 00:17:27.420 silver surfer, silver searcher, sorry, is a G, a G for silver. 00:17:27.420 --> 00:17:32.520 It's kind of clever, but the chart from the chemical is symbol table. 00:17:32.520 --> 00:17:33.160 Yeah. 00:17:33.160 --> 00:17:37.100 And also kind of a play on silver surfer, the, the, superhero as well. 00:17:37.240 --> 00:17:43.640 So, the chart shows like kind of a whole bunch of stuff about all these tools, 00:17:43.640 --> 00:17:44.960 like what languages they're written in. 00:17:44.960 --> 00:17:51.000 Most of them are in C, but ack is in Perl and, RG or rip grep is in rust. 00:17:51.000 --> 00:17:52.660 So that kind of intrigues me. 00:17:52.660 --> 00:17:54.740 I've been enjoying some rust tools lately. 00:17:54.740 --> 00:17:57.260 but it goes through a whole bunch of features. 00:17:57.260 --> 00:17:59.700 So I didn't really know that these were all that different. 00:17:59.700 --> 00:18:03.780 So if you're going to try something new, it's kind of nice to see if the thing that you really 00:18:03.780 --> 00:18:09.800 need, qualifies and it's got some high level features, but then also dives into like 00:18:09.800 --> 00:18:10.320 specifics. 00:18:10.320 --> 00:18:15.980 Like, if you have specific pattern matching needs or output needs, but, kind of a 00:18:15.980 --> 00:18:18.860 cool tool to decide which grep alternative to use. 00:18:18.860 --> 00:18:19.420 It's cool. 00:18:19.420 --> 00:18:20.740 I'd never heard of get grep. 00:18:20.740 --> 00:18:22.800 That'll let you grep, but against a get repo. 00:18:22.800 --> 00:18:24.440 I don't know. 00:18:24.440 --> 00:18:28.920 It says up at the top that it lets you search a get repository by default, like search 00:18:28.920 --> 00:18:30.780 where right at the bottom of your screen there. 00:18:30.780 --> 00:18:31.460 Oh yeah. 00:18:31.460 --> 00:18:33.580 So that was pretty interesting. 00:18:33.580 --> 00:18:35.320 A repo by default. 00:18:35.320 --> 00:18:36.260 Oh, nice. 00:18:36.260 --> 00:18:37.780 Search your get history. 00:18:37.780 --> 00:18:38.820 That sounds useful. 00:18:38.820 --> 00:18:39.580 Yeah. 00:18:40.000 --> 00:18:41.060 Let's try that out too. 00:18:41.060 --> 00:18:41.920 This is cool. 00:18:41.920 --> 00:18:42.320 Exactly. 00:18:42.320 --> 00:18:47.380 I'm going to make me learn grep, but actually, so one of the things I do appreciate is, 00:18:47.380 --> 00:18:51.840 if people that write tool like little tools that are alternatives to something else, often 00:18:51.840 --> 00:18:56.200 they do look at the landscape to find out what else is out there and try things out. 00:18:56.200 --> 00:19:01.720 So actually one of the, one of the reasons I'm highlighting is that this is I agree with 00:19:01.720 --> 00:19:05.920 the, with the author that says we need more of these, take that research you've done and 00:19:05.920 --> 00:19:07.140 actually publish it. 00:19:07.380 --> 00:19:11.380 uh, because some of the, sometimes one of these tool authors is the, is one of the best 00:19:11.380 --> 00:19:13.280 people to compare all the different alternatives. 00:19:13.280 --> 00:19:15.460 So yeah, yeah, this is cool. 00:19:15.460 --> 00:19:16.160 Nice one. 00:19:16.160 --> 00:19:20.960 I don't use grep nearly as much as I should or hardly at all, but it seems very useful in 00:19:20.960 --> 00:19:21.340 the skit. 00:19:21.340 --> 00:19:23.480 Like I said, the skit one might make me learn grep. 00:19:23.480 --> 00:19:24.820 Karen, do you do anything with grep? 00:19:24.820 --> 00:19:26.060 No, it's all good. 00:19:26.160 --> 00:19:28.760 Well, we're happy to have your puppy on the show as well. 00:19:28.760 --> 00:19:29.200 Yeah. 00:19:29.200 --> 00:19:32.460 Featuring a five moments old golden retriever. 00:19:32.460 --> 00:19:33.340 It's very vocal. 00:19:33.340 --> 00:19:34.020 Yeah. 00:19:34.020 --> 00:19:38.020 I, I love silver searcher and I think it's really super fast. 00:19:38.020 --> 00:19:41.200 If you're, that's, that's my favorite of these. 00:19:41.200 --> 00:19:48.240 long time ago, I started programming in, my backgrounds in molecular biology. 00:19:48.240 --> 00:19:51.920 I started in academic publishing and putting academic journals online. 00:19:51.920 --> 00:19:56.900 And so Pearl is, you know, close to my heart, but I'm surprised that, you know, like 00:19:56.900 --> 00:20:02.060 these, Pearl tools that are still around and they still work perfectly fine. 00:20:02.060 --> 00:20:07.120 I learned a lot of Pearl compatible, regular expression use, you know, that PCREs. 00:20:07.120 --> 00:20:12.040 and, I remember asking some years ago, you know, in another language, they had 00:20:12.040 --> 00:20:13.580 PCRE regular expression. 00:20:13.580 --> 00:20:17.620 They're like, what's PCRE or, you know, it's real compatible, regular expression. 00:20:17.620 --> 00:20:19.840 So, but I, I, AG is great. 00:20:19.840 --> 00:20:25.000 I think in, my world, a lot of people are submitting data and sometimes you're looking 00:20:25.000 --> 00:20:26.620 for bets and places and things. 00:20:26.620 --> 00:20:30.220 And, so these kinds of tools are really helpful. 00:20:30.220 --> 00:20:36.020 I use Grap mostly because that's, you know, it's easy to pipe it to something else, 00:20:36.020 --> 00:20:40.820 but AG is great, great because it colorizes your results without passing a color flag, which 00:20:40.820 --> 00:20:41.980 is usually more convenient. 00:20:41.980 --> 00:20:43.800 And it's a little bit different syntax. 00:20:43.800 --> 00:20:46.120 So, so. 00:20:46.660 --> 00:20:48.660 But I haven't used some of these other ones. 00:20:48.660 --> 00:20:50.340 So this is a cool to know about. 00:20:50.340 --> 00:20:50.800 Yeah. 00:20:50.800 --> 00:20:52.080 It's always good to learn about more. 00:20:52.080 --> 00:20:54.400 Maybe I'll try all of them just for the heck. 00:20:54.400 --> 00:20:54.740 Nice. 00:20:54.740 --> 00:20:55.260 Yeah. 00:20:55.260 --> 00:20:55.600 All right. 00:20:55.600 --> 00:20:58.080 I want to talk about air table real quick. 00:20:58.080 --> 00:21:02.540 So air table is like Excel, but it kind of has a database backend. 00:21:02.540 --> 00:21:05.420 It's also got like a Trello aspect to it. 00:21:05.420 --> 00:21:08.560 So I don't know if people are using air table for things. 00:21:08.560 --> 00:21:11.840 It also has kind of a Gantt chart or a project management thing. 00:21:11.840 --> 00:21:15.060 I don't exactly want to talk about air table, but I want to set the stage. 00:21:15.060 --> 00:21:16.920 I want to talk about PI air table. 00:21:16.920 --> 00:21:24.360 So I just had we, the maintainer of this on, the on talk Python to talk about Python and 00:21:24.360 --> 00:21:24.900 architecture. 00:21:24.900 --> 00:21:29.880 And what they were doing where he was working was a lot of things were backed by air table. 00:21:29.880 --> 00:21:35.800 So PI air table is this, this API to talk to it through Python, which is pretty interesting 00:21:35.800 --> 00:21:36.660 already. 00:21:36.900 --> 00:21:42.900 But then if you look a little bit more on the docs, it's got, where's the right spot 00:21:42.900 --> 00:21:43.580 to go look. 00:21:43.580 --> 00:21:50.160 There is under the API somewhere in here, there's an ORM aspect as well. 00:21:50.160 --> 00:21:57.720 So you can even use, air table like an ORM where you create classes that map to the 00:21:57.720 --> 00:22:01.780 stuff you're doing over there and do select statements against it and delete them and whatnot. 00:22:01.780 --> 00:22:06.080 So if people are doing stuff with air table, here's a pretty awesome way to automate it. 00:22:06.080 --> 00:22:06.760 I guess I think. 00:22:06.760 --> 00:22:07.620 I think it's great. 00:22:07.620 --> 00:22:09.200 Is it done by the same people or? 00:22:09.200 --> 00:22:10.140 No, no. 00:22:10.140 --> 00:22:13.380 It's done by a guy named Gwee. 00:22:13.380 --> 00:22:14.300 Last name. 00:22:14.300 --> 00:22:15.380 I'm going to look. 00:22:15.380 --> 00:22:15.980 Sorry, Gwee. 00:22:15.980 --> 00:22:20.780 I just think it's a, it's pretty cool to have. 00:22:20.780 --> 00:22:21.840 Oh, nice name. 00:22:21.840 --> 00:22:22.480 Yeah. 00:22:22.480 --> 00:22:25.320 Tala, Tala Rico. 00:22:25.320 --> 00:22:25.860 Yeah. 00:22:25.860 --> 00:22:26.800 Gwee Tala Rico. 00:22:27.060 --> 00:22:28.800 And he's also in San Francisco. 00:22:28.800 --> 00:22:31.600 So he's, one of your extended neighbors, Karen. 00:22:31.600 --> 00:22:32.360 Yeah. 00:22:32.360 --> 00:22:35.800 I, the Bay area is, big. 00:22:35.800 --> 00:22:36.780 Yeah. 00:22:36.780 --> 00:22:37.720 He was also a PyBay. 00:22:37.720 --> 00:22:38.480 Yeah. 00:22:38.480 --> 00:22:40.480 Well, there was a lot of people at mass. 00:22:40.480 --> 00:22:46.500 So even people that are in my community, I'm a co-organizer for a Bay area Python interest 00:22:46.500 --> 00:22:46.800 group. 00:22:46.800 --> 00:22:50.520 We're in the longest, running Python groups. 00:22:50.520 --> 00:22:53.040 obviously I didn't, I didn't start it. 00:22:53.200 --> 00:22:59.260 but I recently started helping out and even people that I'm in meetings with every 00:22:59.260 --> 00:23:03.320 month and for a number of years, they'd have to say like, oh, Karen. 00:23:03.320 --> 00:23:11.300 And, and, even with badges on, so I, I, I, I'm, you try to like spy people or, 00:23:11.300 --> 00:23:14.620 you know, based on their silhouette, if that's the right person. 00:23:14.620 --> 00:23:18.220 And so, yeah, a lot of people had sunglasses or a hat. 00:23:18.220 --> 00:23:18.400 Yeah. 00:23:18.400 --> 00:23:20.100 It was, it was tricky, but yeah. 00:23:20.100 --> 00:23:20.360 Yeah. 00:23:20.360 --> 00:23:21.160 So he was there. 00:23:21.160 --> 00:23:26.500 So yeah, he maintains this, but it's, sort of endorsed by the air table folks. 00:23:26.500 --> 00:23:30.780 It's like listed as one of the independent things that they might recommend for people 00:23:30.780 --> 00:23:31.280 doing Python. 00:23:31.280 --> 00:23:31.680 So. 00:23:31.680 --> 00:23:32.300 Yeah. 00:23:32.300 --> 00:23:38.700 I think it's great to have a Python APIs for a lot of services, you know, have a 00:23:38.700 --> 00:23:40.580 Python client to help support them. 00:23:40.580 --> 00:23:46.140 it's really helpful that whether it's written by the company or somebody else. 00:23:46.140 --> 00:23:51.220 And sometimes it's really helpful if you're a small team as the kinds of teams, I'm in a 00:23:51.220 --> 00:23:52.080 research community. 00:23:52.080 --> 00:23:56.380 We have small teams to be able to like, look at the tests, look at their code to see how 00:23:56.380 --> 00:23:56.820 to use it. 00:23:56.820 --> 00:24:01.400 Sometimes the company's documentation is not great on how to use their API. 00:24:01.400 --> 00:24:06.660 And sometimes these extra Python components help you understand their API a little better 00:24:06.660 --> 00:24:08.760 and what you can do with their API. 00:24:09.540 --> 00:24:14.360 some companies are better than others in documenting their own APIs to be able to 00:24:14.360 --> 00:24:15.680 interact with this. 00:24:15.680 --> 00:24:20.720 But I know that people use, air table for a variety of different things and use things 00:24:20.720 --> 00:24:27.080 like Zapier to connect it to, you know, it's like a Rube Goldberg kind of like stitching 00:24:27.080 --> 00:24:31.640 together all these kinds of services to do, you know, a thing at the end, like make toast. 00:24:31.640 --> 00:24:32.200 Yeah. 00:24:32.200 --> 00:24:32.420 Yeah. 00:24:32.420 --> 00:24:36.000 Cause you want to let the business people still just use air table, but you need other things 00:24:36.000 --> 00:24:37.280 to happen or something like that. 00:24:37.280 --> 00:24:37.520 Right. 00:24:37.520 --> 00:24:37.980 Right. 00:24:37.980 --> 00:24:42.600 So when they intercept and they insert this, it's going to heat up that thing, which will 00:24:42.600 --> 00:24:45.660 knock over a cup, which will then trigger an API like that kind of thing. 00:24:45.660 --> 00:24:46.340 Yeah. 00:24:46.340 --> 00:24:46.880 Yeah. 00:24:46.880 --> 00:24:48.280 Or send a meeting invite. 00:24:48.280 --> 00:24:49.040 So. 00:24:49.040 --> 00:24:50.280 Or exactly. 00:24:50.500 --> 00:24:54.880 One of the things I like is, if, like a company that's using, one of these 00:24:54.880 --> 00:25:00.520 tools, having a Python API allows individual hackers like me to be able to just say, how 00:25:00.520 --> 00:25:02.800 do I find just the stuff I need to care about? 00:25:02.800 --> 00:25:07.040 And I can write my own little application just to pull out the bits that I need to care about 00:25:07.040 --> 00:25:11.920 and do it on the command line and, probably use rich if I doing that. 00:25:11.920 --> 00:25:13.340 And, and only see. 00:25:13.340 --> 00:25:16.140 And grep air table for things to do. 00:25:16.140 --> 00:25:16.580 Exactly. 00:25:16.580 --> 00:25:17.600 Yeah. 00:25:17.600 --> 00:25:18.180 No. 00:25:18.180 --> 00:25:18.520 Yeah. 00:25:18.520 --> 00:25:19.500 I've actually done that. 00:25:19.500 --> 00:25:25.720 You can search within GitHub itself or I sometimes I'll clone it and kind of, for 00:25:25.720 --> 00:25:30.200 about for some keywords that help might help me, figure out what I need to do a little 00:25:30.200 --> 00:25:30.860 bit faster. 00:25:30.860 --> 00:25:31.500 Yeah. 00:25:31.500 --> 00:25:32.340 Yeah, for sure. 00:25:32.340 --> 00:25:37.960 And, Neil Heather out there just giving a quick shout out to Bay Piggies, the meetup 00:25:37.960 --> 00:25:38.620 group out there. 00:25:38.620 --> 00:25:39.000 Awesome. 00:25:39.000 --> 00:25:39.660 Nice. 00:25:39.660 --> 00:25:40.120 Very, very cool. 00:25:40.120 --> 00:25:40.560 All right. 00:25:40.560 --> 00:25:45.480 we have a, we have, we're, we're pretty fortunate in the Bay area that we have a several 00:25:45.480 --> 00:25:47.720 different from all the way from down in Santa Cruz. 00:25:47.720 --> 00:25:52.840 So for people who don't know that, you know, the Bay area is, or depending on how you're 00:25:52.840 --> 00:25:57.860 looking at it, you know, the San Francisco Bay and, and, and there's meetup groups and 00:25:57.860 --> 00:26:01.640 Python groups all along and we're kind of a mid to South peninsula. 00:26:01.640 --> 00:26:08.460 there's all the way from Santa Cruz to up to, asset Python, which runs PyBay, 00:26:08.460 --> 00:26:11.320 Grace Law, and there's other ones in the North Bay. 00:26:11.320 --> 00:26:16.700 So we're pretty fortunate to have a lot of, really rich, strong Python community. 00:26:16.700 --> 00:26:17.000 Yeah. 00:26:17.000 --> 00:26:21.140 A lot of great local stuff going on there for sure, which is no surprise in San Francisco. 00:26:21.540 --> 00:26:25.640 But it's also necessary because even though things are close together, you can't get there 00:26:25.640 --> 00:26:26.140 from here. 00:26:26.140 --> 00:26:29.060 Usually they're separated far by time. 00:26:29.060 --> 00:26:33.060 If not, yeah, perhaps the traffic has started to pick up again for sure. 00:26:33.060 --> 00:26:33.480 Yeah. 00:26:33.480 --> 00:26:34.080 Same here. 00:26:34.080 --> 00:26:37.160 All right, Karen, you want to do our last item here? 00:26:37.160 --> 00:26:38.820 Touch one more time on some notebook things. 00:26:38.820 --> 00:26:39.660 Yeah. 00:26:40.140 --> 00:26:46.360 One of the ways of your part of a team, every, everyone probably knows about the 00:26:46.360 --> 00:26:53.320 black formatter that helps you, make opinionated decisions or it makes opinionated decisions for 00:26:53.320 --> 00:26:54.860 you about how things should be formatted. 00:26:54.860 --> 00:26:57.620 So your, your team's a little bit more, streamlined. 00:26:57.620 --> 00:27:07.900 And now, Marco Gorelli has, who is a creator of a package called NBQA for notebook QA that 00:27:07.900 --> 00:27:14.780 did things like ice work and other things has added into black, the black formatter itself, 00:27:14.780 --> 00:27:20.820 um, an ability to do black formatting on notebooks, which is great because then it's part of the 00:27:20.820 --> 00:27:25.860 core package and support will be even richer, very powerful. 00:27:25.860 --> 00:27:31.060 So you can just run once you've, once you've installed it, it, there's a command there shown 00:27:31.060 --> 00:27:39.580 on the screen, pip install black, that you can run, black on it, like notebook, 00:27:39.580 --> 00:27:40.680 you know, black. 00:27:40.680 --> 00:27:45.000 There's probably some hockey or something like within Jupyter itself, right? 00:27:45.000 --> 00:27:46.240 Say that again. 00:27:46.560 --> 00:27:51.820 There's probably like some kind of little icon or hotkey or something in there automatically. 00:27:51.820 --> 00:27:52.180 Right. 00:27:52.180 --> 00:27:52.740 I would guess. 00:27:52.740 --> 00:27:54.480 I, I don't know. 00:27:54.480 --> 00:27:59.660 I've run it on the command line and the kind of instructions have it run on a command line. 00:27:59.660 --> 00:28:02.000 I don't know if you can run it on itself. 00:28:02.000 --> 00:28:05.760 It would be like, you know, modifying an array that you're iterating over. 00:28:05.760 --> 00:28:10.920 I don't know if it, you can like, you can format yourself while you're, this is actually 00:28:10.920 --> 00:28:13.200 going into black, not into Jupyter. 00:28:13.200 --> 00:28:13.740 Right. 00:28:13.740 --> 00:28:14.160 So yeah. 00:28:14.160 --> 00:28:15.060 So it's more, right. 00:28:15.060 --> 00:28:15.380 Yeah. 00:28:15.380 --> 00:28:16.040 Go from the black side. 00:28:16.040 --> 00:28:16.460 Got it. 00:28:16.460 --> 00:28:16.860 Yeah. 00:28:16.860 --> 00:28:23.520 You're running it against a notebook to, apply black formatting to a notebook itself. 00:28:23.520 --> 00:28:24.080 Yeah. 00:28:24.080 --> 00:28:28.200 But at this point, how long until somebody puts a button into Jupyter to do this? 00:28:28.200 --> 00:28:28.860 Yeah. 00:28:28.860 --> 00:28:31.200 I imagine that certainly can happen. 00:28:31.200 --> 00:28:36.560 I think that you have like in VS Code, you already can apply black or other kinds of 00:28:36.560 --> 00:28:39.880 F8 formatting, within something. 00:28:39.880 --> 00:28:42.260 So I imagine that totally makes sense. 00:28:42.260 --> 00:28:45.560 You'd be able to apply it, but I guess I think about it in that sense. 00:28:45.580 --> 00:28:47.080 It's not the notebook itself. 00:28:47.080 --> 00:28:47.180 It's not the notebook itself. 00:28:47.180 --> 00:28:49.120 That's applying that standardization. 00:28:49.120 --> 00:28:53.700 It's a package runs running against whatever kind of thing that you're using, whether it's 00:28:53.700 --> 00:28:56.440 PyCharm or a VS Code or some other tool. 00:28:56.440 --> 00:29:01.600 So I still think it's running against it rather than the notebook itself, changing itself, like 00:29:01.600 --> 00:29:07.520 spinning around like wonder woman and becoming a super sorted, I sort, you know, package 00:29:07.520 --> 00:29:07.920 import. 00:29:08.140 --> 00:29:08.620 Absolutely. 00:29:08.620 --> 00:29:09.420 Yeah. 00:29:09.420 --> 00:29:09.500 Yeah. 00:29:09.500 --> 00:29:09.980 This is cool. 00:29:09.980 --> 00:29:10.780 I really like this. 00:29:10.780 --> 00:29:15.900 I've always thought that the notebooks lacked a little bit of coding assistance. 00:29:15.900 --> 00:29:17.480 Standardization too. 00:29:17.480 --> 00:29:18.060 Yeah. 00:29:18.060 --> 00:29:18.340 Yeah. 00:29:18.340 --> 00:29:19.500 And also black brings that. 00:29:19.500 --> 00:29:19.760 Right. 00:29:19.880 --> 00:29:24.720 But I felt like, you know, if you type a thing dot, it doesn't pull up any autocomplete. 00:29:24.720 --> 00:29:29.760 You have to do the research to know, well, now I have to proactively hit tab to trigger 00:29:29.760 --> 00:29:30.740 an autocomplete. 00:29:30.740 --> 00:29:37.160 And, you know, also formatting is not just a hotkey for format my code or command palette 00:29:37.160 --> 00:29:38.880 thing to format my code as easily. 00:29:38.880 --> 00:29:39.480 Yeah. 00:29:39.660 --> 00:29:45.280 I imagine that, you know, we're lucky that this, the Jupyter community is really rich 00:29:45.280 --> 00:29:48.240 and people are committed to it and enhancing on it. 00:29:48.240 --> 00:29:53.680 I know that there's other kinds of notebook systems that are being developed by places like 00:29:53.680 --> 00:29:58.340 Netflix where they're like, what is the bare bones we can do so that our, our data scientists 00:29:58.340 --> 00:29:59.620 can run something else. 00:29:59.620 --> 00:30:04.260 but the Jupyter notebook community is really extensively used. 00:30:04.260 --> 00:30:05.440 The community is very active. 00:30:05.440 --> 00:30:12.320 So I'm glad that things like this are being added to enhance its usability and, 00:30:12.320 --> 00:30:17.420 readability and standardize it in an easier way for everyone. 00:30:17.420 --> 00:30:18.420 Yeah, absolutely. 00:30:18.420 --> 00:30:19.200 Well done, Marco. 00:30:19.200 --> 00:30:19.960 All right, Brian. 00:30:19.960 --> 00:30:22.200 I think that brings us to the extras. 00:30:22.200 --> 00:30:23.860 Extras. 00:30:23.860 --> 00:30:24.680 Yeah. 00:30:24.680 --> 00:30:26.440 You got any extras you want to throw out there? 00:30:26.440 --> 00:30:33.220 no, I just, like, I'm not going to like put a link or anything, but I just wanted 00:30:33.220 --> 00:30:33.700 to comment. 00:30:33.700 --> 00:30:37.440 Some of the times I've been giggling today is because, Anthony Shaw's on the show 00:30:37.440 --> 00:30:39.840 and we talked about pigeon first briefly. 00:30:39.840 --> 00:30:45.800 And every time I hear the, about pigeon, I think of, the, Bert and Ernie skit 00:30:45.800 --> 00:30:46.920 with, doing the pigeon. 00:30:46.920 --> 00:30:51.820 I don't know if anybody else remembers that, but anyway, that's, that's my quick extra. 00:30:51.820 --> 00:30:52.280 Yeah. 00:30:52.280 --> 00:30:52.780 Hold on. 00:30:52.780 --> 00:30:57.260 Well, I know that Anthony Shaw likes to run, VS Code pets. 00:30:57.260 --> 00:30:58.280 Are you sure? 00:30:58.280 --> 00:30:58.720 That's right. 00:30:58.720 --> 00:31:00.640 I think I wonder if there's a pigeon in this. 00:31:00.880 --> 00:31:01.060 Yes. 00:31:01.060 --> 00:31:05.540 Maybe, maybe it could come full circle and it could be some kind of pigeon in the pets, 00:31:05.540 --> 00:31:08.600 in the pets, in the, like below the project settings. 00:31:08.600 --> 00:31:09.440 That'd be fantastic. 00:31:09.440 --> 00:31:12.200 What are the, what are these pets that you're talking about? 00:31:12.200 --> 00:31:13.580 And let me see if I can find it. 00:31:13.580 --> 00:31:15.300 Let's see if I can see VS Code pets. 00:31:15.300 --> 00:31:15.500 Yeah. 00:31:15.500 --> 00:31:16.620 I'm, I don't have a link. 00:31:16.620 --> 00:31:21.180 I don't do that much VS Code, so I don't know all that much, but what it is, is it will 00:31:21.180 --> 00:31:24.500 literally put like a little animated animal in your editor. 00:31:25.160 --> 00:31:26.860 And it can be simple like this. 00:31:26.860 --> 00:31:33.260 This is like a cat that's crawl, crawling along like a get diff section, or they can 00:31:33.260 --> 00:31:34.540 be way more complicated. 00:31:34.540 --> 00:31:38.880 Like here, like see this one, for example, there's like a castle and there's a cat that 00:31:38.880 --> 00:31:39.560 lives in the end. 00:31:39.560 --> 00:31:43.480 Alas, Anthony Shaw says, but there is no pigeon on the pets extension. 00:31:45.500 --> 00:31:46.800 There's a lot of stuff happening. 00:31:46.800 --> 00:31:47.860 Like here, here we go. 00:31:47.860 --> 00:31:51.620 There's like a hunting cat in the forest and all kinds of things. 00:31:51.620 --> 00:31:57.340 So, and Chris May out in the live stream says, yet, there's no pigeon. 00:31:57.340 --> 00:31:57.840 Yeah. 00:31:57.840 --> 00:32:00.340 Well, a pull request accepted. 00:32:00.340 --> 00:32:01.560 Exactly. 00:32:01.560 --> 00:32:02.440 Exactly. 00:32:02.440 --> 00:32:03.480 Who's going to be adding this? 00:32:03.480 --> 00:32:06.000 Anyway, this, this is how we should bring it around. 00:32:06.000 --> 00:32:06.960 Full circle, Brian. 00:32:06.960 --> 00:32:08.380 Well, do you have any extras? 00:32:08.380 --> 00:32:10.200 I do, but I always have them. 00:32:10.200 --> 00:32:13.380 So let me ask Karen if she has anything she wants to add or throw out while we're here. 00:32:13.380 --> 00:32:13.820 Yeah. 00:32:13.820 --> 00:32:15.700 Well, it's a general thing. 00:32:15.700 --> 00:32:17.840 I just helped out at Pi Bay. 00:32:17.840 --> 00:32:20.020 I help out at Bay Piggies. 00:32:20.020 --> 00:32:28.140 And I just want to off, just tell people whatever, wherever your community is, they're always 00:32:28.140 --> 00:32:29.620 looking for lightning talks. 00:32:29.620 --> 00:32:31.020 It's good practice. 00:32:31.020 --> 00:32:37.820 It's as, as both of you know, Michael and Brian, that, you know, coming up with show ideas 00:32:37.820 --> 00:32:42.500 or, you know, meetup talks and finding speakers is a challenge. 00:32:42.620 --> 00:32:47.400 And so, you know, offering something that you want to talk about is good practice. 00:32:47.400 --> 00:32:51.420 And the people in the communities around you are really supportive and welcoming. 00:32:51.420 --> 00:32:53.500 And a lightning talks, great practice. 00:32:53.500 --> 00:32:54.480 It gets you feedback. 00:32:54.480 --> 00:33:01.160 And I know that for somebody who's, who talked at Bay Piggies and also for some of the speakers 00:33:01.160 --> 00:33:06.320 at Pi Bay, you know, I've been willing to work with them on their slides and talk to them 00:33:06.320 --> 00:33:08.740 how to give the talk and everything too. 00:33:08.740 --> 00:33:13.740 It's, it's great practice, both, you know, professionally, and then you have a recording 00:33:13.740 --> 00:33:14.740 of what you talked about. 00:33:14.920 --> 00:33:21.040 So, contribute, you contribute in code or you can contribute in ideas and experience 00:33:21.040 --> 00:33:22.840 in your learning journey. 00:33:22.840 --> 00:33:26.320 Even if you're just starting out, talking about that journey is really helpful. 00:33:26.320 --> 00:33:31.240 Talking about a new package that came out and, and you guys are doing a fantastic job bringing 00:33:31.240 --> 00:33:36.340 things up to date, but maybe, you know, in these other communities, people can do that. 00:33:36.340 --> 00:33:37.780 I just want to just open it up. 00:33:37.780 --> 00:33:43.120 It's not just the experts who are contributing at people at every level in your local meetups 00:33:43.120 --> 00:33:44.740 can, can give a talk. 00:33:44.740 --> 00:33:47.080 And, it's good experience. 00:33:47.080 --> 00:33:47.900 It's good for you. 00:33:47.900 --> 00:33:48.720 It's good for them. 00:33:48.720 --> 00:33:53.200 And so I'm just going to encourage everybody to volunteer in your Python community. 00:33:53.200 --> 00:33:54.080 Yeah, absolutely. 00:33:54.080 --> 00:33:57.980 And if you're thinking about doing like submitting a talk to say PyCon or another big conference, 00:33:57.980 --> 00:34:03.540 doing it locally at your local meetup with people, you know, with just 10 people is a really 00:34:03.540 --> 00:34:07.800 good way to practice that and get a sense for what it's going to be like if you do get accepted 00:34:07.800 --> 00:34:09.100 and hone it a little bit. 00:34:09.100 --> 00:34:09.520 Yeah. 00:34:09.520 --> 00:34:11.440 Great feedback and great questions too. 00:34:11.440 --> 00:34:13.060 So perfect prep. 00:34:13.060 --> 00:34:13.560 Great. 00:34:13.560 --> 00:34:14.060 Yep. 00:34:14.060 --> 00:34:14.720 All right. 00:34:14.720 --> 00:34:18.460 My Apple watch wants me to stand up, but instead I'm going to talk about some extras. 00:34:18.880 --> 00:34:24.040 So first one is I've been playing around with a new password manager. 00:34:24.040 --> 00:34:25.180 I use one password. 00:34:25.180 --> 00:34:26.240 I love one password. 00:34:26.240 --> 00:34:30.520 I use it on all my things, but I've decided that there are certain things I would like to 00:34:30.520 --> 00:34:31.460 put on the systems. 00:34:31.460 --> 00:34:36.140 I don't want to set up my super important passwords on, or I want to share with people 00:34:36.140 --> 00:34:36.980 and so on. 00:34:36.980 --> 00:34:38.560 I was like, all right, well, what else could I use? 00:34:38.560 --> 00:34:43.660 So I came across Bitwarden, which is an open source password manager that also has like 00:34:43.660 --> 00:34:47.680 a cloud backend and mobile apps and all sorts of stuff, browser integration. 00:34:48.280 --> 00:34:53.560 So instead of just running a local encrypted file or something, this is a really good option 00:34:53.560 --> 00:34:56.220 from what I can tell for setting up. 00:34:56.220 --> 00:35:02.380 It does have a paid plan if you want, but if you look at the paid plan, the paid personal 00:35:02.380 --> 00:35:06.920 plan, it's like $10 a year or $0.80 a month or something. 00:35:07.060 --> 00:35:09.020 So it's totally doable. 00:35:09.020 --> 00:35:12.820 For only $0.80 a month, you too could be secure. 00:35:12.820 --> 00:35:13.580 Exactly. 00:35:13.580 --> 00:35:17.560 For the coffee that you spilled on yourself, the price of that you could have. 00:35:17.560 --> 00:35:22.260 I like this, but actually just, I know you have a bunch of other stuff, but it's driving 00:35:22.260 --> 00:35:28.240 me kind of nuts that even like $5 or $10 a month or $20 a month for some things, everything 00:35:28.240 --> 00:35:30.480 is going towards these subscription plans. 00:35:30.480 --> 00:35:32.980 And it's like, it's just storing my password. 00:35:32.980 --> 00:35:34.420 I don't want to pay $20 a month. 00:35:34.420 --> 00:35:39.080 So this also has a self-hosted version, I believe, because it's open source. 00:35:39.080 --> 00:35:40.600 You could run it at your company. 00:35:40.600 --> 00:35:42.540 If that was that the kind of thing you wanted to do. 00:35:42.540 --> 00:35:43.480 So anyway, cool. 00:35:43.480 --> 00:35:44.140 Good recommendation. 00:35:44.140 --> 00:35:46.260 I think this is a pretty neat option. 00:35:46.260 --> 00:35:49.800 Again, I'm still using one password for my personal main stuff, but this is like my, 00:35:49.800 --> 00:35:52.040 I want another one that doesn't hold all that stuff. 00:35:52.240 --> 00:35:53.100 And it's pretty neat. 00:35:53.100 --> 00:35:58.220 Also, Chris May, I'll give you a shout out for Pi RVA for the Virginia meetup is also 00:35:58.220 --> 00:36:05.000 looking for speakers because Chris, as Karen, and as we know, booking people to come for this 00:36:05.000 --> 00:36:06.300 kind of stuff is never easy. 00:36:06.300 --> 00:36:10.640 Lightning talks, long talks, whatever, you know, there's lots of options. 00:36:10.640 --> 00:36:12.460 Show up and help us out. 00:36:12.460 --> 00:36:12.940 All right. 00:36:12.940 --> 00:36:14.160 So Bitwarden, check it out. 00:36:14.160 --> 00:36:14.620 Seems cool. 00:36:14.620 --> 00:36:16.660 Open source bonus as well. 00:36:16.660 --> 00:36:19.600 This one is both a joke and a real thing. 00:36:19.600 --> 00:36:20.060 Okay. 00:36:20.060 --> 00:36:22.940 So I love it that it all comes together and it's for Python. 00:36:22.940 --> 00:36:27.740 So Patrick Mason, synonymous said the at PSF is on Twitter. 00:36:27.740 --> 00:36:30.320 The at PSF is searching for an executive director. 00:36:30.320 --> 00:36:35.760 So Iwa has been the executive director for 10 years. 00:36:35.760 --> 00:36:36.920 Thank you so much for that. 00:36:36.920 --> 00:36:39.820 She's finally retiring or moving on, I suppose. 00:36:39.820 --> 00:36:43.620 And so they're looking for a new person, but that's the real part. 00:36:43.620 --> 00:36:45.520 So if you want to apply for that, that'd be excellent. 00:36:45.520 --> 00:36:50.700 The joke is the at PSF is actually the Pacific Salmon Foundation. 00:36:50.700 --> 00:36:55.780 So, so they, they said, you want to swim upstream. 00:36:55.780 --> 00:36:57.340 Exactly. 00:36:57.340 --> 00:37:02.760 But here's the thing that's funny is the Salmon Foundation replied saying at the PSF 00:37:02.760 --> 00:37:08.380 is looking for an executive director at just PSF without the is not currently looking 00:37:08.380 --> 00:37:08.840 for one. 00:37:08.840 --> 00:37:10.500 Cheers on a successful search. 00:37:10.500 --> 00:37:13.160 So Patrick come back and says, sorry for the confusion. 00:37:13.160 --> 00:37:16.260 The P the Salmon Foundation says it happens. 00:37:16.260 --> 00:37:19.000 We're starting to feel like at the PSF family. 00:37:19.000 --> 00:37:21.660 It's not like at Java ever calls us broken heart. 00:37:25.020 --> 00:37:26.100 Isn't that fantastic? 00:37:26.100 --> 00:37:26.640 Yeah. 00:37:26.640 --> 00:37:27.340 That's great. 00:37:27.340 --> 00:37:27.860 Yeah. 00:37:27.860 --> 00:37:28.280 Yeah. 00:37:28.280 --> 00:37:29.180 Good, good. 00:37:29.180 --> 00:37:30.140 sense of humor. 00:37:30.140 --> 00:37:33.580 Now, now I kind of want to give to the Salmon Foundation just for being cool people. 00:37:33.580 --> 00:37:33.580 I know. 00:37:33.580 --> 00:37:34.060 I do too. 00:37:34.060 --> 00:37:34.760 Yeah. 00:37:34.760 --> 00:37:35.260 All right. 00:37:35.260 --> 00:37:35.640 I got it. 00:37:35.640 --> 00:37:37.720 I got a quick pull up a little bit extra for this one. 00:37:37.720 --> 00:37:41.420 So, Karen, this will, this will, relate to you as well. 00:37:41.420 --> 00:37:47.920 So there's a, this thing called the anime Gan V2 face portrait thing that will take 00:37:47.920 --> 00:37:53.840 a picture that you put up here and it will turn it into anime in like some really wild looking 00:37:53.840 --> 00:37:54.400 ways. 00:37:54.400 --> 00:37:55.060 Oh, wow. 00:37:55.060 --> 00:37:56.320 Isn't this crazy? 00:37:56.320 --> 00:37:57.020 Yeah. 00:37:57.020 --> 00:37:58.200 I want to anime me. 00:37:58.200 --> 00:38:01.220 So you can take a picture and throw it up here and get these. 00:38:01.220 --> 00:38:02.660 They're not very anime. 00:38:02.660 --> 00:38:07.400 Like I don't think there's exaggerated as anime often is, but you put a picture up here. 00:38:07.400 --> 00:38:12.760 It doesn't work very well for me with glasses, but I did put up here a picture of my dog. 00:38:12.760 --> 00:38:17.360 So there's a picture of my dog, which, I'll try to link to this in the show notes or 00:38:17.360 --> 00:38:17.660 something. 00:38:17.660 --> 00:38:18.980 And I threw it up there. 00:38:18.980 --> 00:38:22.780 That is a carrier mix of like 10 different things. 00:38:22.780 --> 00:38:24.100 It's very, very sweet. 00:38:24.180 --> 00:38:25.840 But I can't really give it a type. 00:38:25.840 --> 00:38:30.160 But if you turn it into anime, it looks like this, which is pretty awesome. 00:38:30.160 --> 00:38:34.480 Well, I think it should have some kind of battle sword or a helmet. 00:38:34.480 --> 00:38:35.440 I feel like. 00:38:35.440 --> 00:38:35.700 Yeah. 00:38:35.700 --> 00:38:37.700 It's just way too chill this dog. 00:38:37.780 --> 00:38:40.180 It needs to be much more, ready to go. 00:38:40.180 --> 00:38:40.480 Yeah. 00:38:40.480 --> 00:38:41.420 And battle. 00:38:41.420 --> 00:38:42.080 So anyway. 00:38:42.080 --> 00:38:43.480 With a slowly forming tear. 00:38:43.480 --> 00:38:44.740 Exactly. 00:38:44.740 --> 00:38:47.960 Go back to the other, the animated, the other. 00:38:47.960 --> 00:38:48.700 The humans. 00:38:48.700 --> 00:38:49.420 Yeah. 00:38:49.880 --> 00:38:52.460 So it looks like there's, there's moving. 00:38:52.460 --> 00:38:53.600 Can you have. 00:38:53.600 --> 00:38:53.780 Yeah. 00:38:53.780 --> 00:38:54.680 I don't know what this move. 00:38:54.680 --> 00:38:55.900 I couldn't make it move. 00:38:55.900 --> 00:39:00.440 Maybe if you drop a movie or something up there, there's like an Elon Musk and a Bill Gates, 00:39:00.440 --> 00:39:01.480 uh, anime. 00:39:01.860 --> 00:39:06.620 So I was hoping that you could do real time filters so we could possibly do our YouTube 00:39:06.620 --> 00:39:08.000 all in anime sometime. 00:39:08.000 --> 00:39:08.760 Oh my gosh. 00:39:08.760 --> 00:39:12.840 If we could do a, we could do an episode like once a year where we're in anime, that would 00:39:12.840 --> 00:39:13.560 be fantastic. 00:39:13.560 --> 00:39:14.540 I would be all about it. 00:39:14.540 --> 00:39:14.820 Yeah. 00:39:14.820 --> 00:39:16.140 They've got Tim Apple there. 00:39:16.140 --> 00:39:18.360 Or a Snapchat filter. 00:39:18.860 --> 00:39:21.240 You know, I'm really on fight on bytes. 00:39:21.240 --> 00:39:22.220 I'm not a cat. 00:39:22.220 --> 00:39:23.420 Exactly. 00:39:23.420 --> 00:39:24.240 Your honor. 00:39:24.240 --> 00:39:24.920 I'm not a cat. 00:39:24.920 --> 00:39:26.020 I'm ready to proceed. 00:39:26.020 --> 00:39:29.980 Maybe we could ask stream or to update that in our new update. 00:39:29.980 --> 00:39:30.580 Oh yeah. 00:39:30.580 --> 00:39:31.420 That would be fantastic. 00:39:31.420 --> 00:39:32.280 All right. 00:39:32.280 --> 00:39:35.740 And then finally, a pie, a couple of versions of Python are out. 00:39:35.740 --> 00:39:40.560 The interesting one is three 11 alpha two is now available for people to download. 00:39:40.560 --> 00:39:44.400 we've spoken about Mark Shannon's plan to make Python faster. 00:39:44.400 --> 00:39:47.220 Guido van Rossum has been helping over the last year. 00:39:47.220 --> 00:39:48.180 And I actually. 00:39:48.800 --> 00:39:49.320 Yeah. 00:39:49.320 --> 00:39:50.400 I interviewed them on. 00:39:50.400 --> 00:39:52.440 Go listen to it. 00:39:52.440 --> 00:39:53.180 Yeah. 00:39:53.180 --> 00:39:59.940 I recently had the, at the moment, the most recent episode on talk Python to me is Guido 00:39:59.940 --> 00:40:04.520 and Mark talking about the work they're doing to make Python five times faster. 00:40:04.520 --> 00:40:08.000 This is the first release that has some of those features in it. 00:40:08.000 --> 00:40:10.860 And you can test to see if this is any faster on your code. 00:40:10.860 --> 00:40:12.900 So they, they said they'd love people to try it out. 00:40:12.900 --> 00:40:15.220 So a double shout out there to that. 00:40:15.220 --> 00:40:15.780 All right. 00:40:15.780 --> 00:40:17.480 I think that's enough time for a joke. 00:40:17.480 --> 00:40:18.700 Although I feel like the salmon one. 00:40:18.740 --> 00:40:20.860 It's really kind of also a joke, but it was also real. 00:40:20.860 --> 00:40:26.780 Like if, if you're looking for a job within the PSF, the PSF, not just PSF, check it out. 00:40:26.780 --> 00:40:27.300 All right. 00:40:27.300 --> 00:40:32.460 But as somebody who does testing, Brian, I'm hoping this one touches heart here a little 00:40:32.460 --> 00:40:32.580 bit. 00:40:32.580 --> 00:40:32.820 You ready? 00:40:32.820 --> 00:40:33.380 Yeah. 00:40:33.380 --> 00:40:34.380 So here's a picture. 00:40:34.380 --> 00:40:34.500 So here's a picture. 00:40:34.500 --> 00:40:38.440 It's a meme type of picture and it has some text on it. 00:40:38.440 --> 00:40:39.680 It says hot fix in production. 00:40:39.680 --> 00:40:42.000 Could you describe that for our audience, please? 00:40:42.220 --> 00:40:43.680 This is an awesome picture. 00:40:43.680 --> 00:40:49.900 So you've got like a drainage pipe coming out in the water and it's clearly not, not attached 00:40:49.900 --> 00:40:55.080 to there's, and then it kind of, it's coming out at an angle, then going down there. 00:40:55.080 --> 00:40:57.480 The pipe goes down and straight down. 00:40:57.480 --> 00:40:59.200 It's supposed to be connected as one big pipe. 00:40:59.200 --> 00:41:04.020 It's supposed to be connected, but it's not, but actually there's a hole in the lower pipe. 00:41:04.020 --> 00:41:06.560 So the upper pipe actually just directly hit. 00:41:06.560 --> 00:41:07.500 It all works. 00:41:07.500 --> 00:41:15.020 The broken pipe on top is being poured into a broken pipe, a hole in a broken pipe that 00:41:15.020 --> 00:41:15.800 is disconnected. 00:41:15.800 --> 00:41:17.900 So it works. 00:41:17.900 --> 00:41:18.580 Yeah. 00:41:18.580 --> 00:41:19.880 So it's a hot fix in production. 00:41:19.880 --> 00:41:20.960 Just make it work. 00:41:20.960 --> 00:41:26.760 I'm guessing somebody like just, notice the break and then just popped a hole in the 00:41:26.760 --> 00:41:28.280 pipe in the bottom to fix it. 00:41:28.280 --> 00:41:29.180 Something like that. 00:41:29.180 --> 00:41:29.780 Yeah. 00:41:29.780 --> 00:41:30.620 This is great. 00:41:30.620 --> 00:41:34.500 I feel like this is, that rush to get that broken website. 00:41:34.500 --> 00:41:37.800 The website is down type of thing running as fast as possible. 00:41:37.800 --> 00:41:42.500 Well, it could be Facebook and the whole internal network could be broken and you have to break 00:41:42.500 --> 00:41:47.120 out like a saw to saw open the data center door because the network is required to open the 00:41:47.120 --> 00:41:50.940 door, but the network is down and you've got to get in the door to restore the network. 00:41:51.180 --> 00:41:55.980 Well, actually, you know, some stuff like this happens all the time because you've got 00:41:55.980 --> 00:41:59.740 like a team that finds a problem, but the problem isn't in their code. 00:41:59.740 --> 00:42:05.300 It's in like some other component that happens to be written by the team in Germany that's 00:42:05.300 --> 00:42:08.020 on vacation because it's one of their million big holidays. 00:42:08.020 --> 00:42:12.340 And, and so you, you just fix it in the other layer or something like that. 00:42:12.340 --> 00:42:12.960 So, yeah. 00:42:12.960 --> 00:42:13.960 Yeah, absolutely. 00:42:13.960 --> 00:42:14.460 That's awesome. 00:42:14.460 --> 00:42:14.720 All right. 00:42:14.720 --> 00:42:16.700 We got a little audience participation in this joke. 00:42:16.700 --> 00:42:19.500 Anthony Shaw says integration tests pass. 00:42:19.500 --> 00:42:20.700 Exactly. 00:42:20.700 --> 00:42:23.500 And Wilma Coogan says leaky abstractions. 00:42:23.500 --> 00:42:25.040 Oh, nice. 00:42:25.040 --> 00:42:25.540 Well done. 00:42:25.540 --> 00:42:26.220 Yeah. 00:42:26.220 --> 00:42:26.620 Well done. 00:42:26.620 --> 00:42:27.340 You all out there. 00:42:27.340 --> 00:42:29.520 And well done to you, Karen, as well. 00:42:29.520 --> 00:42:30.220 Thanks for being here. 00:42:30.220 --> 00:42:31.700 I'm super excited. 00:42:31.700 --> 00:42:35.640 I've been a longtime fan of both of your work. 00:42:35.640 --> 00:42:40.220 And I just thank you for letting me be here. 00:42:40.560 --> 00:42:44.740 And thank you for inviting me after I super fangirled you at PyBay. 00:42:44.740 --> 00:42:47.300 Because I appreciate both of your work. 00:42:47.300 --> 00:42:53.040 Everybody should also help out these two wonderful podcasts, Talk Python. 00:42:53.040 --> 00:43:00.880 Oh, and the Python Testing Podcast and Python Bytes on Patreon as I have for a number of years. 00:43:00.880 --> 00:43:02.780 So super exciting to be here. 00:43:02.780 --> 00:43:03.880 Thank you so much for the invite. 00:43:04.220 --> 00:43:05.180 Yeah, it's great to have you here. 00:43:05.180 --> 00:43:05.680 Thanks again. 00:43:05.680 --> 00:43:06.920 Brian, thanks as always. 00:43:06.920 --> 00:43:07.440 Bye.