Update 493-quarto.txt

transcripts/493-quarto.txt

@@ -4,7 +4,7 @@
 
 00:00:10 revolutionizing technical publishing. We discuss how Quarto empowers users to seamlessly transform
 
-00:00:15 Jupyter notebooks into polished reports, dashboards, ebooks, websites, and more.
+00:00:15 Jupyter notebooks into polished reports, dashboards, e-books, websites, and more.
 
 00:00:20 JJ shares his journey from creating RStudio to developing Quarto as a versatile multi-language
 
@@ -598,7 +598,7 @@
 
 00:25:14 model. And now you can actually compute on the document. And that's really actually the heart
 
-00:25:18 of how Cordo is able to do, you know, Cordo is built on pandoc. And that's how we're able to do
+00:25:18 of how Cardo is able to do, you know, Cardo is built on pandoc. And that's how we're able to do
 
 00:25:22 almost everything is that we're actually not just dealing with text and markup. We're dealing with
 
@@ -608,23 +608,23 @@
 
 00:25:35 Carlos, if you, if you chose to, but, but I think the shortest, important bit is yeah. So
 
-00:25:43 pendoc operates on this abstract syntax tree. It's a document that has paragraphs. Paragraphs can have
+00:25:43 Pandoc operates on this abstract syntax tree. It's a document that has paragraphs. Paragraphs can have
 
 00:25:49 spans with, you know, strong text and their text and things like that. And we court, you can think of
 
-00:25:55 Cordo as a very, very big orchestrator of pendoc and sort of like configuration,
+00:25:55 Cardo as a very, very big orchestrator of Pandoc and sort of like configuration,
 
-00:26:01 orchestrator or like choreographer for pendoc. So Cordo itself is a command line application. We ship,
+00:26:01 orchestrator or like choreographer for Pandoc. So Cardo itself is a command line application. We ship,
 
-00:26:08 pendoc with it. So like our bundles all include pendoc with it, but fundamentally we are a TypeScript
+00:26:08 Pandoc with it. So like our bundles all include Pandoc with it, but fundamentally we are a TypeScript
 
-00:26:14 application that, sort of puts itself in front of pendoc and then after it, right? So, you know,
+00:26:14 application that, sort of puts itself in front of Pandoc and then after it, right? So, you know,
 
 00:26:20 all of the complicated things you might want to do to generate multiple websites, to extract bits of the
 
-00:26:26 documents, to know the titles, to create your blog posts and your entries, right? So Cordo gets in front of it,
+00:26:26 documents, to know the titles, to create your blog posts and your entries, right? So Cardo gets in front of it,
 
-00:26:31 does all of that orchestration work, then calls pendoc a number of times and then calls sort of
+00:26:31 does all of that orchestration work, then calls Pandoc a number of times and then calls sort of
 
 00:26:36 some post processors. And the way this integrates with engines and Jupyter and so on is our, what we
 
@@ -636,25 +636,25 @@
 
 00:26:59 Jupyter notebooks as output or the Markdown annotated with those, results. And then we just sort of
 
-00:27:06 process them and send to pendoc, right? So really pendoc is, is at the center of what we can do with
+00:27:06 process them and send to Pandoc, right? So really Pandoc is, is at the center of what we can do with
 
 00:27:11 Quarto. And you can think of, Quarto as just sort of sitting around it and sort of expanding the scope
 
-00:27:16 of the things you can do with pendoc.
+00:27:16 of the things you can do with Pandoc.
 
-00:27:18 We've done a few more things. Like if you, to use pendoc typically, you know, there's, you know,
+00:27:18 We've done a few more things. Like if you, to use Pandoc typically, you know, there's, you know,
 
 00:27:23 160 command line options and you just kind of figure out how to, you know, it's tremendously powerful.
 
 00:27:29 So we've tried to, I would say, organize that experience a little bit. so it's like, oh,
 
 00:27:33 I just say I want a PDF and it's in YAML and I do a couple options and it does the right. So I think,
 
-00:27:38 you know, you can think of pendoc properly as like this sort of engine that you can do anything
+00:27:38 you know, you can think of Pandoc properly as like this sort of engine that you can do anything
 
 00:27:43 with. And we try to give you like the happy path to a bunch of things that you probably want to do.
 
-00:27:48 Yeah. I think that's hugely valuable because while pendoc is great, it's also
+00:27:48 Yeah. I think that's hugely valuable because while Pandoc is great, it's also
 
 00:27:52 super complicated. And a lot of times, if you want to combine different documents, you know, maybe I'm
 
@@ -698,7 +698,7 @@
 
 00:29:24 impossible. So, you know, we will provide you the happy path. We sort of, you know, the standard
 
-00:29:29 YAMO options, we have validation for them. We have completion, we have sort of integrated documentation
+00:29:29 YAML options, we have validation for them. We have completion, we have sort of integrated documentation
 
 00:29:34 if you're in VS Code, for example. But if you need to actually extend things, we give you a number of
 
@@ -764,7 +764,7 @@
 
 00:32:32 you go to our website, there's a whole section on extensions and we do quite a bit too. Let's see.
 
-00:32:38 Yeah. Go to where's extensions, Carlos. It's gotta be.
+00:32:38 Yeah. Go to where's extensions, Carlos. It's got to be.
 
 00:32:41 Yeah. If you just search for extensions, you should be able to find good documentation and sort of,
 
@@ -828,7 +828,7 @@
 
 00:34:33 you're, you know, and I don't want to have to satisfy a bunch of dependencies. So we want to have like
 
-00:34:38 fast dependency free and well and agree with Pando. So that's why we ended up with Lua. And we, we like it.
+00:34:38 fast dependency free and well and agree with Pandoc. So that's why we ended up with Lua. And we, we like it.
 
 00:34:43 and, it's served us well. We've done, we did some stuff in our quarter extension. We do a bunch
 
@@ -954,7 +954,7 @@
 
 00:39:52 And so, so that's where I think it's most exciting work that's going to come out is how do we combine
 
-00:39:58 like these things? And one fascinating thing to me is that if you think about like PyLens, PyWrite or
+00:39:58 like these things? And one fascinating thing to me is that if you think about like PyLens, PyWright or
 
 00:40:04 Pydantic, these sort of like typing efforts for Python that exist in many other languages, something
 
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 00:45:40 back to your reproducible science initiatives, right? That's exactly right. Yeah.
 
-00:45:45 So let's talk about using Corto. Where can I run it? So it's, it looks like it's supported at least on
+00:45:45 So let's talk about using Cardo. Where can I run it? So it's, it looks like it's supported at least on
 
 00:45:51 the major OS's Mac, Windows, Linux. Yeah. Right. That's right. It's a, it's a command line tool
 
@@ -1196,7 +1196,7 @@
 
 00:49:16 things. And it, so Types is genuinely amazing. I could not recommend it more strongly. It's a little
 
-00:49:23 weird to type as typst.app. It's another open source product. They have an offering that is sort of like
+00:49:23 weird to type as Typst.app. It's another open source product. They have an offering that is sort of like
 
 00:49:31 a collaborative editor where you do those things, but you can use it as a command line. T-Y-P-S-T.
 
@@ -1308,7 +1308,7 @@
 
 00:54:06 repository that I think we linked to, somewhere where we have a number of examples of using GitHub
 
-00:54:11 actions. So it's a GitHub slash Quarto dev slash Quarto actions that we maintain. And we document
+00:54:11 actions. So it's a GitHub/Quartodev/Quarto actions that we maintain. And we document
 
 00:54:17 with a number of different use cases that folks might want to do if they need to like grab dependencies,
 
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 00:54:56 for two, we can do it. We can do it here. So, one, this is open source under what license?
 
-00:55:04 MIT MIT, which may basically means that commercially you can do whatever. So
+00:55:04 MIT, which may basically means that commercially you can do whatever. So
 
 00:55:10 Quarto is sort of unencumbered in that sense. That's right. Right. Yeah. That's right. Exactly
 
@@ -1352,7 +1352,7 @@
 
 00:55:58 is, a commercial product that we sell. And so I think, from a business model standpoint,
 
-00:56:03 if people are successful with Gordo, as obviously we make it very easy to publish it to
+00:56:03 if people are successful with Cardo, as obviously we make it very easy to publish it to
 
 00:56:08 everywhere. We're not trying to privilege, you know, or say, oh, oh, you know, it's a Roach Motel.
 
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 01:04:08 open your favorite podcast app and search for Python. We should be right at the top. You can
 
-01:04:13 also find the iTunes feed at /itunes, the Google Play feed at /play and the direct RSS feed at
+01:04:13 also find the iTunes feed at /iTunes, the Google Play feed at /play and the direct RSS feed at
 
 01:04:19 /rss on talkpython.fm. We're live streaming most of our recordings these days. If you want to be
 
@@ -1619,18 +1619,3 @@
 01:04:30 at talkpython.fm/youtube. This is your host, Michael Kennedy. Thanks so much for listening. I really
 
 01:04:36 appreciate it. Now get out there and write some Python code.
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-01:04:47 Bye.
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-01:04:57 you you Thank you.
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-01:05:00 Thank you.
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