WEBVTT 00:00:00.001 --> 00:00:04.440 Hello and welcome to Python Bytes, where we deliver Python news and headlines directly to 00:00:04.440 --> 00:00:12.720 your earbuds. This is episode 298, just too short of 300 coming in fast, recorded August 23rd, 00:00:12.720 --> 00:00:17.840 2022. I'm Michael Kennedy. And I'm Brian Okken. Wow, close to 300. That's amazing. 00:00:17.840 --> 00:00:23.420 Yeah. Yeah. That's, what is that, coming up on six years here pretty soon? That's insane. 00:00:23.420 --> 00:00:29.180 That's amazing. Well, 52 times. Yeah, I don't know. Yeah. So pretty awesome. 00:00:29.180 --> 00:00:35.280 And got some fun folks we see in the audience who are out here frequently. Will McGugan is here. 00:00:35.280 --> 00:00:39.300 Will is going to be a guest on the next episode. So if you want to hear from Will, be sure to 00:00:39.300 --> 00:00:42.880 at least listen to the next episode if you don't come to the live one. 00:00:42.880 --> 00:00:47.960 Yeah. Also, before we, yeah, it'd be fantastic. Also, before we get going on the topics, 00:00:47.960 --> 00:00:52.920 I just want to say thank you to Microsoft for Startups Founders Hub for sponsoring this and so 00:00:52.920 --> 00:00:58.360 many of the episodes this year. Super great to have their support. Very cool. It's uncommon, Brian, to 00:00:58.360 --> 00:01:06.200 have such great supporters, wouldn't you say? It is uncommon. Nice segue. I like it. So I'd like to 00:01:06.200 --> 00:01:12.400 talk about uncommon uses of Python in commonly used libraries. Actually, this is just a pretty cool 00:01:12.400 --> 00:01:18.200 article. It's by Eugene Yan. And he goes through a handful of things. I'm just going to pull out one, 00:01:18.300 --> 00:01:24.120 but it goes through using super classes and a whole bunch of things. The idea was to learn how to build 00:01:24.120 --> 00:01:29.640 more maintainable and usable Python libraries. He's been reading some of the most widely used Python packages 00:01:29.640 --> 00:01:35.680 and learning some things along the way, which is an awesome way to learn is to read other code. 00:01:35.680 --> 00:01:37.020 I agree. I think it's fantastic. 00:01:37.140 --> 00:01:43.040 Yeah. So he's good. He goes through super and a handful of other things. When do you use a mix in? 00:01:43.040 --> 00:01:50.320 I don't know if I'd use that. Anyway, the thing I want to pull out is using relative imports all the 00:01:50.320 --> 00:01:56.520 time. And this is something I picked up not too long ago, but it really isn't talked about much. 00:01:56.520 --> 00:02:05.280 So the idea is that if you do an import, like import something or from some library import, 00:02:05.280 --> 00:02:11.480 if you don't, if you put a dot in front of at the beginning is the first dot, then it looks in your, 00:02:11.480 --> 00:02:18.980 in your path, your current search, the directory of the file that it's in. So in the example, 00:02:18.980 --> 00:02:28.120 he has a base by a base dot pie from scikit learn and it, it uses, it says from dot utils dot validation 00:02:28.120 --> 00:02:35.060 import something. And, and these are, because it says dot utils, it'll look for utils in the 00:02:35.060 --> 00:02:40.300 current directory and not somewhere else because there's probably a utils like somewhere else also, 00:02:40.300 --> 00:02:45.600 uh, looking for the search path. so this is neat. You can do multiple, you can move, do multiple 00:02:45.600 --> 00:02:50.300 dots also. I don't ever, I don't think I ever do that. I do the current directory and down 00:02:50.300 --> 00:02:56.180 or the current project and down. So, this is, we'll get you up, up one and then down a different 00:02:56.180 --> 00:03:00.780 path or something like that, right? It will. So if you do dot dot something and you don't do slashes, 00:03:00.780 --> 00:03:06.560 you don't, it's not a direct, a pat, it's kind of like a path, but it's not, like dot is the 00:03:06.560 --> 00:03:12.340 current directory. Dot dot is like one up and you can do three, but wow. I think there's something 00:03:12.340 --> 00:03:17.860 wrong with your project if you're doing that. but, maybe not, maybe not. There's, 00:03:17.860 --> 00:03:22.340 a couple of links in there for further reading. There's a Guido's decision on relative imports, 00:03:22.340 --> 00:03:29.740 which is part of the, part of the PEP 328 writeup. And actually the, this PEP 328 writeup 00:03:29.740 --> 00:03:36.200 is this little bit about Guido's decision where he's talked about the leading dot or leading two dots. 00:03:36.320 --> 00:03:42.100 there's a really good, easy way to get a handle on how to use this. And, I use this a lot 00:03:42.100 --> 00:03:47.040 now and try to put it in, projects, you know, projects at work and project personal projects 00:03:47.040 --> 00:03:51.760 as well. So, the dot thing is cool and yeah, it doesn't talk about much. So I like it. 00:03:51.760 --> 00:03:58.020 Yeah. It's fantastic. It only works in packages and not just a pile of module files, right? 00:03:58.020 --> 00:04:03.500 Oh yeah. Yeah. So you have to have Dunder and net files within the directory. And that's, 00:04:03.500 --> 00:04:07.920 I guess one of the things that I wish we had another name for, because in Python, 00:04:07.920 --> 00:04:14.200 we talk about a package or a sub package. These are, this could be just a directory with Python 00:04:14.200 --> 00:04:20.400 files in it that has Dunder in it and the, and that, that makes it a package in Python, 00:04:20.400 --> 00:04:26.920 but we also definitely, yeah. Yeah. We also talk about the package repository and PyPI. It's the Python 00:04:26.920 --> 00:04:32.460 package index. Those are not just directories with Dunder and nets. They're packaged up with a whole 00:04:32.460 --> 00:04:36.320 bunch of other meditated and stuff like that. So there's two things that we call packages, but 00:04:36.320 --> 00:04:40.120 yeah, they have to have Dunder and nets in them for this to work. So anyway. 00:04:40.120 --> 00:04:44.700 Yeah. Brent, Brandon on the audience asked, so are we arguing for relative imports? 00:04:44.700 --> 00:04:51.440 I, for the current, for the current directory, I am, I think that, within a project, if you're, 00:04:51.440 --> 00:04:57.180 uh, like internal stuff, you're not, I mean, if it's a, if it's part of the external API of the project, 00:04:57.180 --> 00:05:02.840 I, I will always go through the external API to get at something, but there's a whole, 00:05:02.840 --> 00:05:09.280 there's a lot of times where you're just developing a bunch of Python modules together. and they're 00:05:09.280 --> 00:05:14.480 internally, they're going to talk to other sub components and that isn't necessarily part of 00:05:14.480 --> 00:05:19.540 the external API. And this is the best way to get at it. So yeah. Yeah. All right. Sounds good. 00:05:19.920 --> 00:05:27.900 Next up, let's go to the sky plane. So this one comes to us, from, let me make sure I give the 00:05:27.900 --> 00:05:34.880 proper credit. This one comes to us from RMRF, the Sudur. Thank you for sending this in. Really 00:05:34.880 --> 00:05:41.680 appreciate it. The project is called sky plane, 114 times faster cloud transfers. At first I was like, 00:05:41.680 --> 00:05:47.860 uh, what does that mean exactly? Like what's the baseline for this? I'll say. So, probably what 00:05:47.860 --> 00:05:52.660 they're basing that on in a minute. This is interesting for two reasons. It's interesting 00:05:52.660 --> 00:05:59.200 because it's a tool that I think many Python developers would find useful, especially those 00:05:59.200 --> 00:06:05.900 folks doing a lot of work in the cloud. It is also useful or interesting because it is itself a Python 00:06:05.900 --> 00:06:12.720 project. Okay. So if you want to contribute to it or understand it or extend it or work it and do other 00:06:12.720 --> 00:06:17.840 things, that's totally possible. It's worked on by a pretty big group of folks. The idea is 00:06:17.840 --> 00:06:24.900 it gives you blazing fast bulk transfers, file transfers between any cloud, any, it needs a 00:06:24.900 --> 00:06:31.700 little like star or an asterisk by it that says any means any of the big three cloud providers. Okay. 00:06:31.700 --> 00:06:40.620 Whereas, you know, this is like AWS, it's Azure and it's Google, GCP. Okay. So those three, 00:06:40.620 --> 00:06:47.820 however, what I'm not clear on is whether you can point it at the S3 compatible places like 00:06:47.820 --> 00:06:55.020 Linode and digital ocean also have cloud storage that are S3 like, but I'm pretty sure it won't work 00:06:55.020 --> 00:06:59.780 based on the way I'm about to tell you what's going to happen next. Okay. Okay. So if you go over, 00:06:59.780 --> 00:07:04.980 there's an architecture section. And if you look in there, they've got this sky retreat 2022, 00:07:04.980 --> 00:07:10.880 where Paris Jane introduces sky plane. And to the folks, there's about a 15 minute video, 00:07:10.880 --> 00:07:16.880 but you really got to watch just two minutes of it to get the Zen. So they laid on a scenario. This is, 00:07:16.880 --> 00:07:21.560 I believe in their world, they're doing data science. And so what they need is they need the 00:07:21.560 --> 00:07:28.880 data very near to them. And there's a woman in the middle East, using some AWS, S3 and point 00:07:28.880 --> 00:07:36.160 there. And she has 30, 80 gigs of data. And Paris is on the East coast of the U S and wants closer 00:07:36.160 --> 00:07:42.080 access to that data for their other work that they're doing. So there's a way with the AWS CLI 00:07:42.080 --> 00:07:48.600 to just copy from Bahrain or wherever it is over to Virginia. And they run that. And it says the, 00:07:48.600 --> 00:07:53.900 after running for a while, it says estimated time to completion one hour, right? I don't know. Is that 00:07:53.900 --> 00:07:59.080 good or bad? Like it's, it's a lot of data, right? 80 gigs halfway around the world. It's miraculous that 00:07:59.080 --> 00:08:02.980 this is possible, but is that good or not? So then they say, well, let's try it with sky plane. 00:08:03.160 --> 00:08:07.060 They were getting like 20 megabit. I think they run it with sky plane. They're getting 00:08:07.060 --> 00:08:13.020 30 gigabit transfers from the middle East. And it took 30 seconds instead of an hour. 00:08:13.480 --> 00:08:14.480 That's quite a bit faster. 00:08:14.480 --> 00:08:16.760 That is pretty awesome. 00:08:16.760 --> 00:08:23.140 Yeah, exactly. And so instead of going across the open internet, it's, it was transferring basically 00:08:23.140 --> 00:08:28.940 over like dedicated fiber for just AWS data center connects or something like that. Right. But what 00:08:28.940 --> 00:08:35.700 it does is it will spin up a virtual machine or many virtual machines in the different data centers. 00:08:35.860 --> 00:08:41.600 So I think what happens here, not a hundred percent sure, but I think it fired up some VMs in 00:08:41.600 --> 00:08:50.320 Virginia, copied it from S3 in Bahrain directly through the internal data system data center transfer, 00:08:50.320 --> 00:08:56.860 and then pushed it into like nearly local S3 storage. And you can do the same thing from like AWS 00:08:56.860 --> 00:09:02.340 East coast to Azure West coast, right? You would fire up a VM. I think in that scenario, 00:09:02.340 --> 00:09:06.700 in both of the data centers and those VMs would talk directly over the high speed data center 00:09:06.700 --> 00:09:10.800 network instead of like the S3 one, we'll copy it down to your machine and then you push it back 00:09:10.800 --> 00:09:13.320 out of your machine to the new destination. Yeah. 00:09:13.320 --> 00:09:16.840 So it basically manages data center to data center traffic. 00:09:16.840 --> 00:09:18.540 That's pretty cool. Makes sense. 00:09:18.540 --> 00:09:23.380 It's pretty cool. It has, yeah, yeah, yeah. And it's like all the CLI, it's like one CLI command 00:09:23.380 --> 00:09:28.200 and that's creating the various virtual machines, provisioning them, setting up the encryption, 00:09:28.200 --> 00:09:30.820 doing all the stuff, and then it shuts back down. 00:09:31.180 --> 00:09:37.300 So, and as far as security goes, what you do is you basically install the AWS CLI or the, 00:09:37.300 --> 00:09:44.320 the Azure CLI, and you just log into those local CIs and CLIs, and it uses those behind the scenes 00:09:44.320 --> 00:09:49.460 to do the setup of like create the VM and then SSH over to it, do the work or something like that. 00:09:49.460 --> 00:09:55.740 So it has a lot of integrity checking. So it does like checksums and verifies the files are there. 00:09:56.120 --> 00:10:02.300 The file sizes are the same and all that kind of stuff. It does end-to-end encryption sort of. 00:10:02.540 --> 00:10:07.420 So the VM, as it gets it out of cloud storage, encrypts it and then sends it over to the network. 00:10:07.420 --> 00:10:13.100 And then when it has to decrypt it to drop it back into the other place, but it also on top of that goes over TLS. 00:10:13.100 --> 00:10:19.200 However, some people might be storing encrypted data in the cloud because they don't trust that it couldn't, 00:10:19.200 --> 00:10:20.600 you know, it's not going to get looked at. 00:10:20.660 --> 00:10:27.080 So even the stuff in S3 or wherever Azure Blob Storage could be encrypted, in which case you can turn all this off 00:10:27.080 --> 00:10:30.020 and it'll go a lot faster because it's already encrypted end-to-end. 00:10:30.020 --> 00:10:34.620 It'll set up like virtual private networks with, if it's within a data center. 00:10:34.620 --> 00:10:38.140 And there's a bunch of cool things that are kind of nice that you don't have to worry about. 00:10:38.140 --> 00:10:40.140 Anyway, this is the sky plane. 00:10:40.220 --> 00:10:46.020 So if you're transferring data between different clouds or even different data centers within a single cloud, 00:10:46.020 --> 00:10:47.640 it looks like it'll do a lot of nice work for you. 00:10:47.640 --> 00:10:50.860 Now, it's believable that it's faster. 00:10:50.860 --> 00:10:53.220 I'm curious if it's cheaper also. 00:10:53.220 --> 00:10:54.600 Any comment? 00:10:54.600 --> 00:10:56.360 Oh, that's a really good point, actually. 00:10:56.360 --> 00:11:01.520 If you go and say AWS to Azure or vice versa, I think it's the same price. 00:11:01.520 --> 00:11:08.640 But if you're going Azure to Azure, it probably is cheaper because I don't know what they really charge you for the S3 CLI 00:11:08.640 --> 00:11:09.640 if you say do a transfer. 00:11:10.060 --> 00:11:11.700 You're still like flowing through. 00:11:11.700 --> 00:11:15.780 But, you know, the within data center transfer is cheaper than outside. 00:11:15.780 --> 00:11:16.680 Taking it out. 00:11:16.680 --> 00:11:17.980 Out of the, yeah, exactly. 00:11:17.980 --> 00:11:18.920 Oh, cool. 00:11:18.920 --> 00:11:20.160 So maybe, I don't know. 00:11:20.160 --> 00:11:22.340 They didn't talk about it, but possibly. 00:11:22.340 --> 00:11:22.900 Yeah. 00:11:22.900 --> 00:11:23.940 Wow, that's awesome. 00:11:23.940 --> 00:11:24.680 Anyway, that's what I got for you. 00:11:24.680 --> 00:11:25.460 Yeah, sky plane. 00:11:25.460 --> 00:11:25.680 Nice. 00:11:25.680 --> 00:11:27.080 You know what else is awesome? 00:11:27.080 --> 00:11:28.340 Speaking of Azure. 00:11:28.340 --> 00:11:30.580 Microsoft for startups, yeah. 00:11:30.580 --> 00:11:31.780 Yeah, absolutely. 00:11:31.780 --> 00:11:35.900 They are, like I said, big supporters of the show, big fans of the show. 00:11:35.900 --> 00:11:39.580 And this episode, like many of them, is brought to you by Microsoft for startups, 00:11:39.720 --> 00:11:40.200 Founders Hub. 00:11:40.200 --> 00:11:46.340 If you have a startup and you intend to have some kind of cloud computing resources, 00:11:46.340 --> 00:11:51.000 or you've dreamed of going to something like a Y Combinator type of accelerator, 00:11:51.000 --> 00:11:55.300 this is a really great way to get some of the benefits of that. 00:11:55.500 --> 00:12:02.000 So with Microsoft for startup, Founders Hub, they give you a bunch of resources for running 00:12:02.000 --> 00:12:08.060 your startup in the cloud in Azure, but also many other cloud resources, like a bunch of 00:12:08.060 --> 00:12:14.160 GitHub credits for automation and actions, as well as access to places like OpenAI. 00:12:14.160 --> 00:12:19.980 But another thing I think is really important is having access to mentors and people who have 00:12:19.980 --> 00:12:22.040 been there and have the right connections. 00:12:22.180 --> 00:12:22.660 Right? 00:12:22.660 --> 00:12:27.080 Like, I think honestly, that might be the hardest thing about doing a startup because as developers, 00:12:27.080 --> 00:12:28.380 we can build it. 00:12:28.380 --> 00:12:29.720 Often we can build it. 00:12:29.720 --> 00:12:32.520 But then it's, well, how do you build the right thing? 00:12:32.520 --> 00:12:37.680 How do you, you know, in terms of customer fit, how do you get access to the right networks? 00:12:37.740 --> 00:12:45.100 So you can find people for investing or get better, maybe coaching for like sales and marketing. 00:12:45.100 --> 00:12:49.140 All those things are incredibly hard, especially if your, your expertise is in software. 00:12:49.140 --> 00:12:54.200 So through Microsoft for startup, Founders Hub, you get access to their entire mentorship network, 00:12:54.200 --> 00:12:58.720 access a pool of hundreds of mentors across a bunch of disciplines like idea validation, 00:12:58.720 --> 00:13:04.520 fundraising, management, coaching, sales and marketing, and a bunch of technical areas as well. 00:13:04.520 --> 00:13:09.000 So you'll be able to book a one-on-one meetings with these mentors, many of whom are founders 00:13:09.000 --> 00:13:09.680 themselves. 00:13:09.680 --> 00:13:14.180 You'll make your idea a reality today with the critical support you'll get from Microsoft for 00:13:14.180 --> 00:13:14.940 startups, Founders Hub. 00:13:14.940 --> 00:13:17.940 To join the program, there are very few restrictions. 00:13:17.940 --> 00:13:20.000 You don't have to be third-party validated. 00:13:20.000 --> 00:13:22.360 You don't have to necessarily have funding. 00:13:22.360 --> 00:13:25.860 You just visit pythonbytes.fm/foundershub 2022. 00:13:25.860 --> 00:13:27.080 Link in your show notes. 00:13:27.080 --> 00:13:28.160 You apply for free. 00:13:28.160 --> 00:13:28.960 You get accepted. 00:13:28.960 --> 00:13:30.300 You get all these benefits. 00:13:30.300 --> 00:13:32.280 And it seems like a great program. 00:13:32.340 --> 00:13:32.780 Yeah. 00:13:32.780 --> 00:13:34.700 I'm excited to see what comes out of this. 00:13:34.700 --> 00:13:35.600 Yeah, absolutely. 00:13:35.600 --> 00:13:36.680 All right. 00:13:36.680 --> 00:13:38.820 What's, what do you got for us here, Brian? 00:13:38.820 --> 00:13:47.280 Well, it wouldn't be complete if we didn't talk about Will McGoogan a little bit. 00:13:47.280 --> 00:13:49.400 Absolutely. 00:13:49.400 --> 00:13:50.100 Hey, Will. 00:13:50.820 --> 00:13:56.080 So there's an article that is from the textualize.io blog. 00:13:56.080 --> 00:14:01.060 And it's seven things I've learned about building a modern TUI framework. 00:14:01.060 --> 00:14:06.440 And this is pretty interesting because I think that, I mean, Will, more than anybody else has 00:14:06.440 --> 00:14:11.560 went, has really thought about like, okay, I want to, I want to have something be really 00:14:11.560 --> 00:14:15.780 responsive and really good to work with on the command line, which is, it's been there for 00:14:15.780 --> 00:14:16.400 a long time. 00:14:16.640 --> 00:14:17.920 We just haven't developed it much. 00:14:17.920 --> 00:14:21.240 So there's a whole bunch of cool learnings that he talks about. 00:14:21.240 --> 00:14:26.580 Like terminals are fast and, and they're faster than we realize, but there's a whole bunch of 00:14:26.580 --> 00:14:31.640 like things that you can, that are different about terminals and other places like flicker 00:14:31.640 --> 00:14:34.180 and tearing and stuff and how to deal with that. 00:14:34.180 --> 00:14:35.880 There's a whole bunch of learnings in here. 00:14:35.880 --> 00:14:41.780 The thing that like popped out as something that everybody can use that I wanted to talk 00:14:41.780 --> 00:14:46.320 about was a little blip that he talked about that is dicta views are amazing. 00:14:46.320 --> 00:14:53.160 So the thing he talks about here is that so maybe, I don't know if everybody knows 00:14:53.160 --> 00:14:59.040 the term dicta views or views into a dictionary, but things like if you ask for, if you have a 00:14:59.040 --> 00:15:03.120 dictionary and you ask for the keys or you ask for items, that is a view. 00:15:03.120 --> 00:15:07.760 It's called a view into, into a dictionary and they are super fast. 00:15:07.760 --> 00:15:14.260 And one of the things he points out is that they act like they act like sets also. 00:15:14.260 --> 00:15:17.300 And you can use the, you can use set operators. 00:15:17.300 --> 00:15:20.900 Like here's the little carrot symbol and was, I can't remember. 00:15:20.900 --> 00:15:21.500 I'll have to look it up. 00:15:21.500 --> 00:15:24.220 The carrot symbol is a symmetric difference. 00:15:24.220 --> 00:15:28.900 Basically what's, what's just give me a set of the stuff that's different about the two 00:15:28.900 --> 00:15:30.740 different sets or two dictionaries. 00:15:30.900 --> 00:15:37.760 And the, you can do this in code, but he's doing it using, using views because those, 00:15:37.760 --> 00:15:41.360 those operators are happening with, with C code. 00:15:41.360 --> 00:15:43.540 Python has optimized those. 00:15:43.540 --> 00:15:48.800 So they, they work super fast and they're way faster than anything you could write in 00:15:48.800 --> 00:15:49.180 Python. 00:15:49.180 --> 00:15:55.660 So this just taking the items of two dictionaries and using a set operations on them. 00:15:55.660 --> 00:15:59.220 And then you can go back to dictionaries if you want, you don't have to use that, but 00:15:59.220 --> 00:16:00.060 super cool. 00:16:00.060 --> 00:16:04.100 I, I hadn't had, I didn't know that about dictionaries and views. 00:16:04.100 --> 00:16:05.260 So yeah, nice. 00:16:05.260 --> 00:16:09.720 Obviously use dot items and dot keys all the time. 00:16:09.720 --> 00:16:14.440 Didn't know they had this name and I didn't know you could do set operations on them. 00:16:14.440 --> 00:16:14.920 Quite cool. 00:16:14.920 --> 00:16:15.480 Right. 00:16:15.480 --> 00:16:15.900 Yeah. 00:16:15.900 --> 00:16:16.700 Super neat. 00:16:17.220 --> 00:16:22.500 Then he, he, he goes, covers a whole bunch of other stuff like LRU caching and the, how 00:16:22.500 --> 00:16:23.340 fast that is. 00:16:23.340 --> 00:16:30.060 One of the things that I thought was great where he talks about Unicode in art, Unicode art in 00:16:30.060 --> 00:16:35.680 doc strings of just like a picture says, says, you know, a picture gives you a thousand words 00:16:35.680 --> 00:16:36.080 or whatever. 00:16:36.080 --> 00:16:42.560 But, he, he, he gives an example here for talking about splitting, the screen 00:16:42.560 --> 00:16:43.500 into sub regions. 00:16:43.500 --> 00:16:49.180 And yeah, there's no way to, I mean, describing it in text is good, but this little picture 00:16:49.180 --> 00:16:51.600 goes, you can just mentally go, Oh yeah, I get it. 00:16:51.600 --> 00:16:56.720 If you give it a cut X and a cut Y, you end up with four regions, obviously, but it isn't 00:16:56.720 --> 00:16:58.360 obvious just looking at the API. 00:16:58.540 --> 00:17:02.160 but with, with a little picture, you're like, Oh yeah, that's cool. 00:17:02.160 --> 00:17:07.540 So he's got a little, for people listening, he's got a picture showing, just a spatially 00:17:07.540 --> 00:17:10.520 what, what it would look like using ASCII characters. 00:17:10.520 --> 00:17:11.420 So neat. 00:17:11.420 --> 00:17:11.940 Yeah. 00:17:11.940 --> 00:17:12.620 I love it. 00:17:12.620 --> 00:17:15.020 I love when people put art like that in there. 00:17:15.020 --> 00:17:17.180 I'm looking for where it is. 00:17:17.180 --> 00:17:22.240 I'd have to, I guess I'm going to have to look this up, but in CPython, there's actually 00:17:22.240 --> 00:17:28.340 this huge diagram in the malloc in the minute of the memory management section. 00:17:28.340 --> 00:17:33.560 that shows you it's like this, it shows you all the different, data structures 00:17:33.560 --> 00:17:39.740 and concepts that are used to manage memory, like the pools, the blocks and the arenas 00:17:39.740 --> 00:17:43.100 and all that stuff in like a huge diagram in code comments. 00:17:43.100 --> 00:17:43.620 It's perfect. 00:17:43.620 --> 00:17:44.120 Nice. 00:17:44.120 --> 00:17:48.920 And he gives a, shout out to just one, tool that's around. 00:17:48.920 --> 00:17:50.860 He must use it called Monodraw. 00:17:50.860 --> 00:17:55.380 It's a Mac tool, but so there are drawing tools that you can use to generate, ASCII 00:17:55.380 --> 00:17:55.580 art. 00:17:55.920 --> 00:17:58.420 So, or our Unicode art, as it were. 00:17:58.420 --> 00:17:58.900 Yeah. 00:17:58.900 --> 00:17:59.460 Yeah. 00:17:59.460 --> 00:17:59.660 Yeah. 00:17:59.660 --> 00:18:00.220 Nice. 00:18:00.220 --> 00:18:02.560 Oh, maybe, maybe I'll, I'll be able to find it here. 00:18:02.560 --> 00:18:03.340 Let's see. 00:18:03.340 --> 00:18:06.060 I'd love to share it with everyone if I can find it. 00:18:06.060 --> 00:18:06.600 Oh yes. 00:18:06.600 --> 00:18:07.360 Here we go. 00:18:07.360 --> 00:18:09.080 I'll put the link in here. 00:18:09.080 --> 00:18:09.940 You ready for this, Brian? 00:18:09.940 --> 00:18:10.520 Yeah. 00:18:10.520 --> 00:18:11.360 You can show it. 00:18:11.360 --> 00:18:11.760 Yeah. 00:18:11.760 --> 00:18:11.960 Yeah. 00:18:11.960 --> 00:18:13.100 I just got to, I had to find it. 00:18:13.100 --> 00:18:13.380 Hold on. 00:18:13.380 --> 00:18:13.920 There we go. 00:18:13.920 --> 00:18:14.560 Look at this. 00:18:14.560 --> 00:18:15.300 Oh yeah. 00:18:15.300 --> 00:18:18.660 Here's the, here's the object allocator in Python. 00:18:18.660 --> 00:18:21.600 And it shows here's the object specific ones, the ant dick. 00:18:21.600 --> 00:18:23.020 And then there's like object specific. 00:18:23.020 --> 00:18:24.040 And then you can see these tiers. 00:18:24.040 --> 00:18:26.860 Then there's the object, the Python object allocator, the raw memory. 00:18:26.860 --> 00:18:30.000 And it even goes down to like, here's the OS and the physical memory. 00:18:30.000 --> 00:18:34.000 And then, I think maybe further down, we might be able to find like some of the stuff 00:18:34.000 --> 00:18:35.760 about arenas or whatever, but isn't that nuts? 00:18:35.760 --> 00:18:36.280 Yeah. 00:18:36.320 --> 00:18:40.980 But also it's awesome because you, I mean, you can visually, now you can read the text 00:18:40.980 --> 00:18:42.860 and it makes more sense instead of just having. 00:18:42.860 --> 00:18:47.300 It has a short description and then a proper picture of here's what's happening. 00:18:47.300 --> 00:18:47.540 Yeah. 00:18:47.540 --> 00:18:47.980 Yeah. 00:18:47.980 --> 00:18:48.520 Absolutely. 00:18:48.520 --> 00:18:49.220 Very good. 00:18:49.220 --> 00:18:49.480 Cool. 00:18:49.480 --> 00:18:50.600 So yeah, yeah. 00:18:50.600 --> 00:18:52.760 That's a great, great example and great recommendation. 00:18:52.760 --> 00:18:57.100 Sometimes a little bit of ASCII art like this, it really does help. 00:18:57.100 --> 00:18:58.100 It goes a long ways. 00:18:58.100 --> 00:18:58.480 Yeah. 00:18:58.480 --> 00:18:58.920 Yeah. 00:18:58.920 --> 00:18:59.560 It sure does. 00:18:59.560 --> 00:19:02.060 A whole bunch of other great tips in Will's article. 00:19:02.060 --> 00:19:04.540 So, encourage people to check it out. 00:19:04.540 --> 00:19:04.880 Right on. 00:19:05.480 --> 00:19:07.460 Another thing that goes a long way is Python. 00:19:07.460 --> 00:19:12.840 There's an InfoWorld article that refers to Python as unstoppable. 00:19:12.840 --> 00:19:18.240 The title is Python popularity is still soaring, but the subtitle is unstoppable Python. 00:19:18.240 --> 00:19:24.660 Once again, ranked number one in the August updates for both the TOB and PYPL indexes. 00:19:24.660 --> 00:19:30.180 I don't know if that's PYPL or I don't know how to say this, but, another secondary programming 00:19:30.180 --> 00:19:31.000 language index. 00:19:31.000 --> 00:19:32.240 And, yeah. 00:19:32.240 --> 00:19:33.100 How cool is that? 00:19:33.100 --> 00:19:33.760 Very cool. 00:19:33.760 --> 00:19:35.360 Also a really nice rocket image. 00:19:35.360 --> 00:19:40.620 I was going to say, this is, it, it, it characterizes the other programming languages, 00:19:40.620 --> 00:19:42.820 hot air pollutants in Python as a rocket. 00:19:42.820 --> 00:19:43.440 Yeah. 00:19:43.440 --> 00:19:44.940 So, yeah. 00:19:44.940 --> 00:19:47.980 some interesting things to take away from here. 00:19:47.980 --> 00:19:54.260 Let's see that, Python first took the top spot just, last October. 00:19:54.260 --> 00:19:55.940 So that was actually big news, right? 00:19:55.940 --> 00:19:56.380 Yeah. 00:19:56.700 --> 00:20:02.020 Now it, that makes it the only language besides C and Java to ever hold the number one position 00:20:02.020 --> 00:20:03.080 from the TOB index. 00:20:03.080 --> 00:20:07.560 And not only is it still number one, but it's actually gained a couple of percentage points 00:20:07.560 --> 00:20:10.340 on the current rankings, year over year. 00:20:10.340 --> 00:20:16.580 So, for example, come down here, you can see it's actually up, you know, 3.56%. 00:20:16.580 --> 00:20:17.820 I think that's year over. 00:20:17.820 --> 00:20:18.000 Yeah. 00:20:18.000 --> 00:20:18.760 That's year over year. 00:20:18.760 --> 00:20:19.380 Nice. 00:20:19.380 --> 00:20:20.740 which, which is pretty awesome. 00:20:21.120 --> 00:20:24.420 also, but C and Java have gained also. 00:20:24.420 --> 00:20:28.100 So other, I guess we're whittling down, taking away from. 00:20:28.100 --> 00:20:31.180 I think it's taking from the lower languages down here, right? 00:20:31.180 --> 00:20:33.120 Like objective C or here we go. 00:20:33.120 --> 00:20:36.140 What a surprise you that Pearl and, Fortran have lost. 00:20:36.140 --> 00:20:40.080 by the way, also the, it has the ratings. 00:20:40.080 --> 00:20:44.560 I don't know if that's quite what you would consider market share, but Python is at 15%, you 00:20:44.560 --> 00:20:46.040 know, C is at 14%. 00:20:46.040 --> 00:20:50.240 things that, sometimes get compared like R is less than 1%. 00:20:50.240 --> 00:20:52.260 Ruby is less than 1%. 00:20:52.260 --> 00:20:55.220 Those are, pretty interesting, comparisons. 00:20:55.220 --> 00:20:55.760 Yeah. 00:20:55.760 --> 00:20:58.380 They're also not really general purpose languages. 00:20:58.380 --> 00:21:00.160 I mean, R isn't at least. 00:21:00.160 --> 00:21:02.020 So yeah, yeah, yeah, that's for sure. 00:21:02.020 --> 00:21:02.780 Let's see. 00:21:02.780 --> 00:21:03.100 Yeah. 00:21:03.100 --> 00:21:07.880 The, the TOB commentary accompanying the index was Python seems to be unstoppable. 00:21:07.880 --> 00:21:12.680 It's hard to find a field of programming in which Python is not used extensively, extensively 00:21:12.680 --> 00:21:15.880 nowadays, except for safety critical embedded systems. 00:21:15.880 --> 00:21:17.820 So that's, that's pretty cool. 00:21:17.820 --> 00:21:18.580 let's see. 00:21:18.800 --> 00:21:22.620 Rust is now number 22, closing in on the top 20 and carbon. 00:21:22.620 --> 00:21:23.880 Have you been tracking carbon? 00:21:23.880 --> 00:21:24.520 No. 00:21:24.520 --> 00:21:27.300 This is, I believe it's Google who is behind carbon. 00:21:27.300 --> 00:21:28.580 yeah. 00:21:28.580 --> 00:21:34.460 It's a language that's intended to be, to supplant C++, but be very C++ like. 00:21:34.460 --> 00:21:39.320 An experimental successor to C++ strives for the C++ performance and compatibility while 00:21:39.320 --> 00:21:43.300 avoiding its technical debt and extreme difficulty to improve. 00:21:43.300 --> 00:21:47.360 Ouch. 00:21:47.360 --> 00:21:48.180 Uh. 00:21:48.180 --> 00:21:48.520 Yeah. 00:21:48.520 --> 00:21:49.080 Yeah. 00:21:49.080 --> 00:21:53.360 Not saying extreme difficulty to use, but like, it's just, it's where it is. 00:21:53.360 --> 00:21:53.900 You know what I mean? 00:21:53.900 --> 00:21:54.420 Yeah. 00:21:54.420 --> 00:21:54.980 Yeah. 00:21:54.980 --> 00:21:59.100 It's like a language on top of a language on top of 50 years. 00:21:59.200 --> 00:21:59.640 Anyway. 00:21:59.640 --> 00:22:06.020 but so carbon has entered the index at a number, a position 192. 00:22:06.020 --> 00:22:07.000 They've got some work to do. 00:22:07.000 --> 00:22:07.380 Yeah. 00:22:07.380 --> 00:22:08.280 But it's still interesting. 00:22:08.280 --> 00:22:09.000 Something to watch. 00:22:09.000 --> 00:22:09.700 Yeah. 00:22:09.700 --> 00:22:12.100 And you look at the other programming index. 00:22:12.100 --> 00:22:14.140 Again, no idea how to say it. 00:22:14.360 --> 00:22:19.120 P Y P L the popularity of programming language is what the acronym stands for. 00:22:19.120 --> 00:22:25.160 It's an index creating, it's created by analyzing how often tutorials are, language 00:22:25.160 --> 00:22:26.720 tutorials are searched on Google. 00:22:26.720 --> 00:22:28.040 So that's one metric. 00:22:28.040 --> 00:22:33.760 Python is like massively ahead of second place, Java, third place JavaScript. 00:22:33.760 --> 00:22:36.720 And then it drops quick, quick, quick down from there. 00:22:36.720 --> 00:22:42.400 Like for example, Ruby, 1% people are interested in tutorials, how to do it versus almost 30% for 00:22:42.400 --> 00:22:42.700 Python. 00:22:42.700 --> 00:22:43.140 Hmm. 00:22:43.140 --> 00:22:43.520 Yeah. 00:22:43.660 --> 00:22:48.820 Anyway, that's just another, another, factor that was part of this info world 00:22:48.820 --> 00:22:49.140 article. 00:22:49.140 --> 00:22:53.580 So, you know, I, on one of the live streams, not too long ago, somebody said, Oh, I heard 00:22:53.580 --> 00:22:56.220 that there's not a whole lot of jobs or interest in Python. 00:22:56.220 --> 00:22:57.380 Maybe what else should I learn? 00:22:57.380 --> 00:22:57.980 But you know what? 00:22:57.980 --> 00:23:03.220 I'm not so sure you're getting great advice if, if that's, where, what you're thinking. 00:23:03.220 --> 00:23:03.920 Okay. 00:23:03.920 --> 00:23:08.100 I mean, popular is popular is not everything, but it's an important part of like, can I have 00:23:08.100 --> 00:23:08.460 a job? 00:23:08.460 --> 00:23:09.840 Can I find developers doing this? 00:23:09.840 --> 00:23:11.980 Will there be a library for my thing X? 00:23:11.980 --> 00:23:12.920 I want to talk to you with it. 00:23:12.960 --> 00:23:13.420 And so on. 00:23:13.420 --> 00:23:15.580 I, I love Python obviously. 00:23:15.580 --> 00:23:22.200 but I, it's hard to answer those like for a job, which languages should I, whether languages 00:23:22.200 --> 00:23:23.020 should I learn? 00:23:23.380 --> 00:23:25.600 I, I don't want to answer that. 00:23:25.600 --> 00:23:27.240 depends on what you're trying to get into. 00:23:27.240 --> 00:23:33.320 but, just as a roundabout developer, I think it is important to learn more than one 00:23:33.320 --> 00:23:33.640 language. 00:23:33.640 --> 00:23:37.380 I, I don't think that it would, I wouldn't want somebody to just stop with Python and say, 00:23:37.380 --> 00:23:37.920 Oh, I'm good. 00:23:37.920 --> 00:23:38.400 No, no, no. 00:23:38.400 --> 00:23:38.900 Yeah. 00:23:38.900 --> 00:23:39.120 Yeah. 00:23:39.380 --> 00:23:42.520 Well, and you also, if you want to build mobile apps, you might want to look elsewhere. 00:23:42.520 --> 00:23:43.040 I will. 00:23:43.040 --> 00:23:47.260 Except I might have a, I might have something in an extra section for you on that. 00:23:47.260 --> 00:23:47.720 Okay. 00:23:47.720 --> 00:23:48.100 Cool. 00:23:48.420 --> 00:23:49.900 But did I, did I switch the order? 00:23:49.900 --> 00:23:51.000 Did I jump in front of you? 00:23:51.000 --> 00:23:52.060 I think I may have. 00:23:52.060 --> 00:23:52.860 I don't think so. 00:23:52.860 --> 00:23:53.860 You've got one more thing to go. 00:23:53.860 --> 00:23:54.280 No. 00:23:54.280 --> 00:23:55.940 Tell us about some magic. 00:23:55.940 --> 00:23:57.880 Oh, no, this is part of one of my extras. 00:23:57.880 --> 00:23:58.540 So. 00:23:58.780 --> 00:23:59.480 Oh, this is when you're extras. 00:23:59.480 --> 00:23:59.740 Okay. 00:23:59.740 --> 00:24:00.840 Well, let's, that's it then. 00:24:00.840 --> 00:24:01.100 Yeah. 00:24:01.100 --> 00:24:01.380 Okay. 00:24:01.380 --> 00:24:01.860 Jump into your extras. 00:24:01.860 --> 00:24:02.460 Then let's jump into your extras. 00:24:02.460 --> 00:24:02.920 All right. 00:24:02.920 --> 00:24:03.080 Oh. 00:24:03.080 --> 00:24:04.260 I didn't want to cover this. 00:24:04.260 --> 00:24:08.220 Really quick, really quick comment just from, I think this is kind of amusing from SE Steve 00:24:08.220 --> 00:24:08.800 in the audience. 00:24:08.800 --> 00:24:12.160 Extreme difficulty to use is just a side benefit of C++. 00:24:12.160 --> 00:24:13.420 Yeah. 00:24:13.420 --> 00:24:14.760 I mean, yeah. 00:24:14.760 --> 00:24:15.640 Yeah. 00:24:15.640 --> 00:24:19.700 Think about all the jobs people get to keep without much effort over time. 00:24:19.700 --> 00:24:20.160 Like. 00:24:20.160 --> 00:24:20.880 Exactly. 00:24:20.880 --> 00:24:28.120 I mean, if there was a lot of competition for C++ developers, I don't know what I would 00:24:28.120 --> 00:24:28.840 I would do. 00:24:28.840 --> 00:24:30.940 I'm, I'm enjoying the competition. 00:24:30.940 --> 00:24:31.540 Yeah. 00:24:31.540 --> 00:24:32.820 so. 00:24:32.820 --> 00:24:33.220 Exactly. 00:24:33.220 --> 00:24:38.300 I just ran across this, the magic of my matplotlib style sheets, article, and 00:24:38.300 --> 00:24:42.880 I just wanted to bring it up for people that might, might want to, to try it out. 00:24:42.880 --> 00:24:48.760 So I've, I've used matplotlib, matplotlib style sheets before, and they're just 00:24:48.760 --> 00:24:49.060 great. 00:24:49.060 --> 00:24:54.120 So you could just say like, so let's say you've got a, a current plot and by default, 00:24:54.120 --> 00:24:55.900 it's just, it's not bad. 00:24:55.900 --> 00:24:57.840 It just, it, it is what it is. 00:24:57.920 --> 00:25:04.120 and then if you just drop in one line of code, use styles plot style use, and then 00:25:04.120 --> 00:25:07.220 you drop a style sheet name, there's a whole bunch of built-in ones you can use. 00:25:07.220 --> 00:25:08.560 It just looks nicer. 00:25:08.560 --> 00:25:10.180 It's got like, I love it. 00:25:10.180 --> 00:25:12.040 It's so unsettled, but it looks so much better. 00:25:12.040 --> 00:25:12.500 Yeah. 00:25:12.500 --> 00:25:16.640 but I didn't know that it's pretty easy to write your own. 00:25:16.640 --> 00:25:19.960 I didn't, I mean, I figured maybe style sheets were complicated. 00:25:19.960 --> 00:25:25.060 So the rest of this article just talks about, really how to, how to write your own 00:25:25.060 --> 00:25:25.620 style sheet. 00:25:25.620 --> 00:25:31.200 So, if anybody's interested in, in customizing the style sheet for their, for their group 00:25:31.200 --> 00:25:36.240 or something, might be a good thing to just have, you know, be able to roll your own 00:25:36.240 --> 00:25:36.860 style sheet. 00:25:36.860 --> 00:25:37.840 So here you go. 00:25:37.840 --> 00:25:37.840 Yeah. 00:25:37.840 --> 00:25:38.280 Fantastic. 00:25:38.280 --> 00:25:44.340 one of the things, that the 10 year old in me enjoyed that, the, if you 00:25:44.340 --> 00:25:50.980 want the lines to end in a square instead of a rounded line, you give it a solid cap style 00:25:50.980 --> 00:25:55.940 of, but, it makes it chop off the end. 00:25:55.940 --> 00:25:56.680 So that's funny. 00:25:56.680 --> 00:25:58.940 That is funny. 00:25:58.940 --> 00:26:00.940 all right. 00:26:00.940 --> 00:26:01.600 Yeah. 00:26:01.600 --> 00:26:05.640 This is not, this is not one of my extras, but I might as well add it as a follow on here 00:26:05.640 --> 00:26:08.940 is, XKCD plots have landed. 00:26:08.940 --> 00:26:09.500 Yeah. 00:26:09.500 --> 00:26:10.880 And Matt plot live, right? 00:26:10.880 --> 00:26:15.160 Like this, I'm sure this is probably accomplished the same way, but look at that. 00:26:15.160 --> 00:26:16.880 Isn't this, aren't these fantastic? 00:26:16.880 --> 00:26:22.820 I use these at work because they're just, it, especially, I especially like it. 00:26:22.820 --> 00:26:28.360 If, if I've just made up, like made up the data or my sample size is small, I don't want 00:26:28.360 --> 00:26:31.620 anybody to take it as like a research project. 00:26:31.620 --> 00:26:35.400 It's a, it's just, I'm, I'm showing something in informally. 00:26:35.400 --> 00:26:35.840 So. 00:26:35.840 --> 00:26:36.320 Right. 00:26:36.320 --> 00:26:36.580 Right. 00:26:36.580 --> 00:26:40.020 sometimes there's a whole ton of value to present it. 00:26:40.020 --> 00:26:41.140 Not quite polished. 00:26:41.140 --> 00:26:41.680 Yeah. 00:26:41.680 --> 00:26:46.260 There's an app I use called, let's see, what does it not want to make a new vault 00:26:46.260 --> 00:26:46.740 comic? 00:26:46.740 --> 00:26:48.400 Oh, it doesn't let me type in. 00:26:48.400 --> 00:26:54.640 Oh, well, it's called balsamic and it, it will generate wireframes of like web browsers 00:26:54.640 --> 00:26:57.280 and buttons or to do mobile apps or whatever. 00:26:57.280 --> 00:26:59.440 And it intentionally has this shape. 00:26:59.440 --> 00:27:03.420 Like it looks very XKCD like, like, okay, don't, this is not the answer. 00:27:03.420 --> 00:27:04.480 This is not the final thing. 00:27:04.480 --> 00:27:07.260 It's just to give you an idea of like, here's the layout and so on. 00:27:07.260 --> 00:27:07.660 Yeah. 00:27:07.660 --> 00:27:11.060 And it's, I think it's balsamic with a Q, if people are looking for it. 00:27:11.060 --> 00:27:11.320 Yes. 00:27:11.320 --> 00:27:13.120 It's, it's funky, small, it's spelled funky. 00:27:13.120 --> 00:27:13.560 Yeah. 00:27:13.640 --> 00:27:16.980 I think what happened is the, the, my keyboard's battery died. 00:27:16.980 --> 00:27:18.520 So anyway, that's why I can't type anymore. 00:27:18.520 --> 00:27:19.600 I'm not on a laptop. 00:27:19.600 --> 00:27:22.360 So when the battery dies, that's it, but that's fine. 00:27:22.360 --> 00:27:23.820 Cause I already got all the stuff I want to talk about. 00:27:23.820 --> 00:27:24.080 Anyway. 00:27:24.080 --> 00:27:29.580 we talked about, I wouldn't try to learn Python to write mobile apps and I still stand 00:27:29.580 --> 00:27:29.980 by that. 00:27:29.980 --> 00:27:36.600 But we discussed way back on episode, which one was it on 295 a couple of weeks ago, we 00:27:36.600 --> 00:27:40.600 talked about flit and flit lets you write flutter apps in Python. 00:27:40.600 --> 00:27:42.500 It is super neat. 00:27:42.500 --> 00:27:43.080 Yeah. 00:27:43.080 --> 00:27:48.820 Where, just look at an example or whatever, pull up the tutorial, but like the code that 00:27:48.820 --> 00:27:49.240 you write. 00:27:49.320 --> 00:27:53.140 I mean, if you ever done flutter, it feels very much like that. 00:27:53.140 --> 00:27:56.040 But what you write is Python and it's glorious. 00:27:56.040 --> 00:28:02.900 Anyway, the extra that I want to talk about is I had, theodore Fitzner, who is 00:28:02.900 --> 00:28:05.980 the creator of flit on talk Python last week. 00:28:05.980 --> 00:28:09.980 And if people want to hear what he had to say about it in our conversation, they should check 00:28:09.980 --> 00:28:10.260 that out. 00:28:10.260 --> 00:28:10.760 Nice. 00:28:10.760 --> 00:28:11.220 Yeah. 00:28:11.420 --> 00:28:11.720 All right. 00:28:11.720 --> 00:28:12.860 That's it for my extras. 00:28:12.860 --> 00:28:15.460 I believe it's you, you ready for a joke? 00:28:15.460 --> 00:28:16.100 I am. 00:28:16.100 --> 00:28:20.180 But I just, I want to like pause and just say, well, I think that's one of the cool things 00:28:20.180 --> 00:28:27.600 about how we've done, Python bytes and talk Python and testing code of, if 00:28:27.600 --> 00:28:33.040 we do these small segments within Python bytes, but if we can, if we want to just also do like 00:28:33.040 --> 00:28:36.420 a deep dive, we've got the other podcasts to do a deep dive into something. 00:28:36.420 --> 00:28:37.360 It's good. 00:28:37.360 --> 00:28:38.240 So absolutely. 00:28:38.240 --> 00:28:40.840 It's super nice and kind of on purpose, right? 00:28:40.860 --> 00:28:44.000 We kind of designed this one so we could just quick talk about to fun stuff. 00:28:44.000 --> 00:28:47.080 And then the other one, if you really want to spend an hour on something like that's what 00:28:47.080 --> 00:28:47.460 it's for. 00:28:47.460 --> 00:28:47.880 Yeah. 00:28:47.880 --> 00:28:51.020 So hopefully people listen to both or all three, I rather three. 00:28:51.020 --> 00:28:52.540 Yeah, exactly. 00:28:52.540 --> 00:28:53.120 Yeah. 00:28:53.120 --> 00:28:53.320 Yeah. 00:28:53.320 --> 00:28:53.500 Yeah. 00:28:53.500 --> 00:28:53.720 Yeah. 00:28:53.720 --> 00:28:54.460 All right. 00:28:54.460 --> 00:28:55.340 Now something funny. 00:28:55.340 --> 00:29:00.300 Now, you know, we talked about the cloud stuff and you, you specifically ask about price. 00:29:00.300 --> 00:29:01.200 So here's the joke. 00:29:01.200 --> 00:29:03.880 This one has two pictures. 00:29:03.880 --> 00:29:08.760 One, somebody who is new to AWS and somebody who has experienced at AWS. 00:29:09.680 --> 00:29:15.260 The new person, it shows this like cartoon character walking one step steps on a rake. 00:29:15.260 --> 00:29:17.620 The rake wax up and smashes them in the faces. 00:29:17.620 --> 00:29:18.480 New to AWS. 00:29:18.480 --> 00:29:22.060 Accidental $50,252 monthly bill. 00:29:22.060 --> 00:29:26.760 The experienced one with the rake is like, you know, sometimes skateboarders will jump up 00:29:26.760 --> 00:29:29.700 and they'll like grind down like a stair railing. 00:29:29.700 --> 00:29:30.860 It'll do something amazing. 00:29:31.140 --> 00:29:32.460 Well, it's a kickflip they're showing. 00:29:32.460 --> 00:29:33.200 Yeah. 00:29:33.200 --> 00:29:33.660 Yeah. 00:29:33.660 --> 00:29:33.840 That's right. 00:29:33.840 --> 00:29:34.480 Off the stairs. 00:29:34.480 --> 00:29:35.620 The kickflip off the stairs. 00:29:35.620 --> 00:29:37.780 And like that often goes good, but not always. 00:29:37.780 --> 00:29:40.520 So here they're doing like an amazing kickflip with the rake. 00:29:40.520 --> 00:29:41.240 Off the rake. 00:29:41.240 --> 00:29:45.140 And then they land at the bottom, smacks them in the faces. 00:29:45.140 --> 00:29:49.040 Accidental $50,252 bill. 00:29:49.040 --> 00:29:50.020 Yeah. 00:29:50.020 --> 00:29:50.960 Yeah. 00:29:51.600 --> 00:29:56.780 And then down here, there's a funny comment from somebody who, how they forgot to turn 00:29:56.780 --> 00:29:57.260 off something. 00:29:57.260 --> 00:29:59.220 So they just, but luckily their card expired. 00:29:59.220 --> 00:30:02.620 So they just let their EC2 account expire. 00:30:02.620 --> 00:30:05.780 And, you know, Amazon was talking about doing like healthcare stuff and whatnot. 00:30:05.780 --> 00:30:11.680 So this, this person here, Jess, Jess, the unstill says, just wait soon enough. 00:30:11.680 --> 00:30:15.520 If you don't pay your EC2 AWS bill, they won't even let you visit your doctor. 00:30:15.520 --> 00:30:19.580 Sometimes things are funny. 00:30:19.580 --> 00:30:25.500 Interesting idea though, to, to attach your AWS account to a credit card with a low balance. 00:30:25.500 --> 00:30:28.100 So that's, that's one of the interesting. 00:30:28.100 --> 00:30:29.000 Yes, exactly. 00:30:29.000 --> 00:30:30.100 It might be a benefit. 00:30:30.100 --> 00:30:30.860 Yeah. 00:30:30.860 --> 00:30:33.520 It just might be a benefit actually. 00:30:33.520 --> 00:30:34.100 Yeah. 00:30:34.100 --> 00:30:34.700 Quite cool. 00:30:34.980 --> 00:30:39.560 Anyway, I thought this was kind of funny, but you also have heard of real stories of 00:30:39.560 --> 00:30:44.100 startups shutting down because they accidentally did get like a $60,000 bill and they're like, 00:30:44.100 --> 00:30:44.820 we can't pay this. 00:30:44.820 --> 00:30:46.720 Well, also just, yeah. 00:30:46.720 --> 00:30:52.960 Or, or somebody just misconfigured it and suddenly they're, they're making like the transfers are 00:30:52.960 --> 00:30:56.320 like, you know, three times larger than they're supposed to be or something like that. 00:30:56.320 --> 00:30:57.080 Yeah, absolutely. 00:30:57.080 --> 00:31:02.360 So every time I run this command, it spins up a cool VM to do the test in the cloud. 00:31:02.360 --> 00:31:03.640 I forgot to shut it down. 00:31:04.180 --> 00:31:05.860 Now I have a hundred VMs running. 00:31:05.860 --> 00:31:07.800 Yeah. 00:31:07.800 --> 00:31:08.260 Yeah. 00:31:08.260 --> 00:31:13.140 So concrete advice, you can set up billing alerts at different tiers. 00:31:13.140 --> 00:31:15.840 Like once it crosses a hundred dollars, send me a message. 00:31:15.840 --> 00:31:18.020 Once it crosses $200, send me a message. 00:31:18.020 --> 00:31:22.800 Those numbers will differ for people, but I would strongly recommend that you set that up at your 00:31:22.800 --> 00:31:23.360 cloud provider. 00:31:23.360 --> 00:31:28.340 Like if it goes beyond a reasonable amount of what I normally would like to pay or expect 00:31:28.340 --> 00:31:28.720 to pay. 00:31:28.720 --> 00:31:29.200 Yeah. 00:31:29.400 --> 00:31:30.640 Let me know soon. 00:31:30.640 --> 00:31:31.720 Yeah. 00:31:31.720 --> 00:31:32.800 Not like tomorrow. 00:31:32.800 --> 00:31:34.140 Let me know right away. 00:31:34.140 --> 00:31:35.780 Exactly. 00:31:35.780 --> 00:31:38.520 In fact, can you make my smoke alarm go off? 00:31:38.520 --> 00:31:40.440 Because I really need to get up and get going. 00:31:40.440 --> 00:31:42.020 Yeah. 00:31:43.240 --> 00:31:44.320 So anyway. 00:31:44.320 --> 00:31:44.680 All right. 00:31:44.680 --> 00:31:46.500 Well, fantastic to be here with you, Brian. 00:31:46.500 --> 00:31:47.660 Good to be with you too. 00:31:47.660 --> 00:31:48.580 Talk to you next week. 00:31:48.580 --> 00:31:48.900 Yep. 00:31:48.900 --> 00:31:49.300 Yep. 00:31:49.300 --> 00:31:49.700 See you later. 00:31:49.700 --> 00:31:50.980 Thanks everyone for listening. 00:31:50.980 --> 00:31:51.760 Oh, really quick. 00:31:51.760 --> 00:31:54.400 One piece of follow up out here from Kim and the audience. 00:31:54.400 --> 00:32:00.820 If a huge AWS bill accidentally happens, I'd rather I can speak to the AWS directly before 00:32:00.820 --> 00:32:01.920 giving in in despair. 00:32:01.920 --> 00:32:02.200 Yeah. 00:32:02.200 --> 00:32:02.540 Indeed. 00:32:02.540 --> 00:32:02.960 Yeah. 00:32:02.960 --> 00:32:07.980 I've heard of success stories where people just talk and they work with them. 00:32:07.980 --> 00:32:09.140 On the other top. 00:32:09.140 --> 00:32:09.680 It's worth a try. 00:32:09.680 --> 00:32:14.380 On the drawing topic, Will recommends that, where'd it go? 00:32:14.380 --> 00:32:17.040 AccelerDraw has a similar look. 00:32:17.040 --> 00:32:18.160 So I'll have to check that out too. 00:32:18.160 --> 00:32:18.620 Yeah. 00:32:18.620 --> 00:32:19.360 I haven't heard of that one. 00:32:19.360 --> 00:32:19.680 That's cool. 00:32:19.680 --> 00:32:20.280 All right. 00:32:20.280 --> 00:32:20.560 All right. 00:32:20.560 --> 00:32:21.220 Talk to you later. 00:32:21.220 --> 00:32:21.680 See you all later.