lots of tx corrections.

Author: mikeckennedy

transcripts/089-a-conversation-with-the-chief-data-scientist-of-the-united-states.txt

@@ -1042,7 +1042,7 @@
 
 00:36:59 We are not scared of the future.
 
-00:37:01 So there's also the other analogy, Cardo, that he gives us, which is remarkable things happened in the last quarter.
+00:37:01 So there's also the other analogy, Quarto, that he gives us, which is remarkable things happened in the last quarter.
 
 00:37:07 And for all the sports people, you don't need to – you can imagine your favorite game where you've seen that.
 

transcripts/089-a-conversation-with-the-chief-data-scientist-of-the-united-states.vtt

@@ -1576,7 +1576,7 @@ Everything we do needs to be infused with a sense of possibility.
 We are not scared of the future.
 
 00:37:01.480 --> 00:37:07.280
-So there's also the other analogy, Cardo, that he gives us, which is remarkable things happened in the last quarter.
+So there's also the other analogy, Quarto, that he gives us, which is remarkable things happened in the last quarter.
 
 00:37:07.280 --> 00:37:16.100
 And for all the sports people, you don't need to – you can imagine your favorite game where you've seen that.

transcripts/301-deploying-django.txt

@@ -1258,7 +1258,7 @@
 
 00:30:52 We can't support them all and they might change and-
 
-00:30:55 PyWrite and all the different various initiatives.
+00:30:55 Pyright and all the different various initiatives.
 
 00:30:57 Yeah.
 

transcripts/301-deploying-django.vtt

@@ -1996,7 +1996,7 @@ Well, what about the others?
 We can't support them all and they might change and-
 
 00:30:55.400 --> 00:30:57.520
-PyWrite and all the different various initiatives.
+Pyright and all the different various initiatives.
 
 00:30:57.520 --> 00:30:57.820
 Yeah.

transcripts/313-pydantic.txt

@@ -418,7 +418,7 @@
 
 00:11:00 One of their technical fellows about extending their language server or their front-end for
 
-00:11:06 language server, PyWrite, to work with Pydantic and other such libraries.
+00:11:06 language server, Pyright, to work with Pydantic and other such libraries.
 
 00:11:10 So because you're using standard type hints, all the other stuff, including your brain, should,
 

transcripts/313-pydantic.vtt

@@ -640,7 +640,7 @@ Microsoft, they emailed me actually two days ago.
 One of their technical fellows about extending their language server or their front-end for
 
 00:11:06.880 --> 00:11:10.400
-language server, PyWrite, to work with Pydantic and other such libraries.
+language server, Pyright, to work with Pydantic and other such libraries.
 
 00:11:10.400 --> 00:11:14.660
 So because you're using standard type hints, all the other stuff, including your brain, should,

transcripts/375-language-summit.txt

@@ -900,7 +900,7 @@
 
 00:21:42 So, TypeShed is the repository of stubs for the standard library and also a bunch of third-party stubs.
 
-00:21:50 So, TypeShed is like the only version of the standard library that mypy knows or PyWrite or PyType or any other type checker.
+00:21:50 So, TypeShed is like the only version of the standard library that mypy knows or Pyright or PyType or any other type checker.
 
 00:21:59 They don't actually know what's going on in real standard library at all.
 

transcripts/375-language-summit.vtt

@@ -1369,7 +1369,7 @@ Oh, sure.
 So, TypeShed is the repository of stubs for the standard library and also a bunch of third-party stubs.
 
 00:21:50.660 --> 00:21:59.420
-So, TypeShed is like the only version of the standard library that mypy knows or PyWrite or PyType or any other type checker.
+So, TypeShed is like the only version of the standard library that mypy knows or Pyright or PyType or any other type checker.
 
 00:21:59.420 --> 00:22:04.320
 They don't actually know what's going on in real standard library at all.

transcripts/448-open-source-full-time.txt

@@ -82,7 +82,7 @@
 
 00:03:03 I maintain Pydantic, which is a data validation library for Python that uses PyTynx.
 
-00:03:08 So those weird things you've seen after colon and Python that mostly do nothing unless you run mypy or PyWrite.
+00:03:08 So those weird things you've seen after colon and Python that mostly do nothing unless you run mypy or Pyright.
 
 00:03:15 Pydantic basically enforces them.
 

transcripts/448-open-source-full-time.vtt

@@ -127,7 +127,7 @@ Yeah, I'm Samuel.
 I maintain Pydantic, which is a data validation library for Python that uses PyTynx.
 
 00:03:08.660 --> 00:03:15.780
-So those weird things you've seen after colon and Python that mostly do nothing unless you run mypy or PyWrite.
+So those weird things you've seen after colon and Python that mostly do nothing unless you run mypy or Pyright.
 
 00:03:15.780 --> 00:03:17.620
 Pydantic basically enforces them.

transcripts/462-pandas-and-beyond-with-wes.txt

@@ -456,7 +456,7 @@
 
 00:20:37 And so in the meantime, you know, with, with all, all, everything that's happened with web technology, it's now very easy to put a complete JavaScript engine in a stall footprint, you know, on a machine with no dependencies and to be able to run a system that is, you know, written in a system that's written in JavaScript.
 
-00:20:55 And so Cordo is completely language agnostic. It's written in TypeScript and it uses Pandoc as an, as an underlying engine.
+00:20:55 And so Quarto is completely language agnostic. It's written in TypeScript and it uses Pandoc as an, as an underlying engine.
 
 00:21:02 And it's very easy to install. And so it addresses some of the portability and extensibility issues that were, that were present in R Markdown.
 

transcripts/462-pandas-and-beyond-with-wes.vtt

@@ -688,7 +688,7 @@ And also people, it had an association with R that perhaps was like, like unmeri
 And so in the meantime, you know, with, with all, all, everything that's happened with web technology, it's now very easy to put a complete JavaScript engine in a stall footprint, you know, on a machine with no dependencies and to be able to run a system that is, you know, written in a system that's written in JavaScript.
 
 00:20:55.660 --> 00:21:02.700
-And so Cordo is completely language agnostic. It's written in TypeScript and it uses Pandoc as an, as an underlying engine.
+And so Quarto is completely language agnostic. It's written in TypeScript and it uses Pandoc as an, as an underlying engine.
 
 00:21:02.700 --> 00:21:11.100
 And it's very easy to install. And so it addresses some of the portability and extensibility issues that were, that were present in R Markdown.

transcripts/487-building-rust-extensions-for-python.vtt

@@ -1231,7 +1231,7 @@ But is this a compile time check or is this a runtime check?
 We don't really think about compiling much in Python.
 
 00:27:28.660 --> 00:27:37.220
-We don't think about it, but you can think of import time when you do different stuff or you think about static typing when you go and run PyWrite over your code.
+We don't think about it, but you can think of import time when you do different stuff or you think about static typing when you go and run Pyright over your code.
 
 00:27:37.220 --> 00:27:40.180
 And that is very similar in some ways to compile time.

transcripts/492-great-tables.txt

@@ -2862,7 +2862,7 @@
 
 01:03:32 We should be right at the top.
 
-01:03:33 You can also find the iTunes feed at /iTunes, the Google Play feed at /play, and the direct
+01:03:33 You can also find the iTunes feed at /itunes, the Google Play feed at /play, and the direct
 
 01:03:39 RSS feed at /rss on talkpython.fm.
 

transcripts/492-great-tables.vtt

@@ -220,7 +220,7 @@ And let's dive into great tables.
 It's an awesome episode.
 
 00:04:00.880 --> 00:04:04.140
-Rich, Michael, welcome to Talk Bython Me.
+Rich, Michael, welcome to Talk Python To Me.
 
 00:04:04.140 --> 00:04:05.020
 Great to have you two here.
@@ -3939,7 +3939,7 @@ And Quarto is really convenient for building things like websites or HTML report
 And it's also developed by Posit.
 
 00:58:25.820 --> 00:58:32.360
-But we, yeah, we end up putting tables a lot in like Quarto documents or the like GreatTables
+But we, yeah, we end up putting tables a lot in like Quarto documents or the like Great Tables
 
 00:58:32.360 --> 00:58:32.880
 website.
@@ -3972,7 +3972,7 @@ Oh, yeah.
 I guess for context.
 
 00:58:44.480 --> 00:58:49.880
-So like some tools like IBIS, their API docs and the GreatTables docs.
+So like some tools like IBIS, their API docs and the Great Tables docs.
 
 00:58:49.880 --> 00:58:50.480
 Yeah.
@@ -4011,7 +4011,7 @@ Is anything they should be looking out for?
 Yeah.
 
 00:59:10.120 --> 00:59:14.300
-I think we want to port quite a bit more from the R program over to GreatTables.
+I think we want to port quite a bit more from the R program over to Great Tables.
 
 00:59:14.300 --> 00:59:18.960
 That includes things like merging, concatenating values from different columns into single columns.
@@ -4056,10 +4056,10 @@ The snake will eat its own tail.
 Excel's a big one.
 
 00:59:46.520 --> 00:59:50.980
-We'll put GreatTables in Excel so you can just go all the way to the bottom, wherever that is.
+We'll put Great Tables in Excel so you can just go all the way to the bottom, wherever that is.
 
 00:59:51.760 --> 00:59:59.220
-Well, I think one other thing to note is extensions that in R, tons of people have extended GT, the GreatTables for R.
+Well, I think one other thing to note is extensions that in R, tons of people have extended GT, the Great Tables for R.
 
 00:59:59.220 --> 01:00:01.760
 And tons of helper packages.
@@ -4069,10 +4069,10 @@ Like if putting a bar in your table is something you want to do, there are a lot
 
 01:00:09.760 --> 01:00:20.720
 And so I think one nice thing would be we want to kind of create a example helper package just to give a feel for how people in Python could also create this kind of stuff for
-GreatTables.
+Great Tables.
 
 01:00:20.960 --> 01:00:30.260
-If you want to extend like, yeah, if you wanted to create your own little bar charts in GreatTables, it seems like people have done a lot of that in R.
+If you want to extend like, yeah, if you wanted to create your own little bar charts in Great Tables, it seems like people have done a lot of that in R.
 
 01:00:30.260 --> 01:00:34.760
 And so it'd be cool to try to foster that kind of ecosystem and extension.

transcripts/493-quarto.txt

@@ -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 Cardo is able to do, you know, Cardo is built on pandoc. And that's how we're able to do
+00:25:18 of how Quarto is able to do, you know, Quarto 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
 
@@ -612,17 +612,17 @@
 
 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 Cardo as a very, very big orchestrator of Pandoc and sort of like configuration,
+00:25:55 Quarto as a very, very big orchestrator of Pandoc and sort of like configuration,
 
-00:26:01 orchestrator or like choreographer for Pandoc. So Cardo itself is a command line application. We ship,
+00:26:01 orchestrator or like choreographer for Pandoc. So Quarto itself is a command line application. We ship,
 
 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 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 Cardo gets in front of it,
+00:26:26 documents, to know the titles, to create your blog posts and your entries, right? So Quarto gets in front of it,
 
 00:26:31 does all of that orchestration work, then calls Pandoc a number of times and then calls sort of
 
@@ -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, PyWright or
+00:39:58 like these things? And one fascinating thing to me is that if you think about like PyLens, Pyright or
 
 00:40:04 Pydantic, these sort of like typing efforts for Python that exist in many other languages, something
 
@@ -1108,7 +1108,7 @@
 
 00:45:40 back to your reproducible science initiatives, right? That's exactly right. Yeah.
 
-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
+00:45:45 So let's talk about using Quarto. 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
 
@@ -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 Cardo, as obviously we make it very easy to publish it to
+00:56:03 if people are successful with Quarto, 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.
 
@@ -1610,7 +1610,7 @@
 
 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
 

transcripts/493-quarto.vtt

@@ -901,7 +901,7 @@ takes that, you know, whatever that is, word doc or markdown file, and it brings
 model. And now you can actually compute on the document. And that's really actually the heart
 
 00:25:18.160 --> 00:25:22.560
-of how Cordo is able to do, you know, Cordo is built on pandoc. And that's how we're able to do
+of how Quarto is able to do, you know, Quarto is built on pandoc. And that's how we're able to do
 
 00:25:22.560 --> 00:25:27.760
 almost everything is that we're actually not just dealing with text and markup. We're dealing with
@@ -922,25 +922,25 @@ pendoc operates on this abstract syntax tree. It's a document that has paragraph
 spans with, you know, strong text and their text and things like that. And we court, you can think of
 
 00:25:55.360 --> 00:26:01.600
-Cordo as a very, very big orchestrator of pendoc and sort of like configuration,
+Quarto as a very, very big orchestrator of Pandoc and sort of like configuration,
 
 00:26:01.600 --> 00:26:08.720
-orchestrator or like choreographer for pendoc. So Cordo itself is a command line application. We ship,
+orchestrator or like choreographer for Pandoc. So Quarto itself is a command line application. We ship,
 
 00:26:08.720 --> 00:26:14.720
-uh, pendoc with it. So like our bundles all include pendoc with it, but fundamentally we are a TypeScript
+uh, Pandoc with it. So like our bundles all include Pandoc with it, but fundamentally we are a TypeScript
 
 00:26:14.720 --> 00:26:20.880
-application that, sort of puts itself in front of pendoc and then after it, right? So, you know,
+application that, sort of puts itself in front of Pandoc and then after it, right? So, you know,
 
 00:26:20.880 --> 00:26:26.000
 all of the complicated things you might want to do to generate multiple websites, to extract bits of the
 
 00:26:26.000 --> 00:26:31.040
-documents, to know the titles, to create your blog posts and your entries, right? So Cordo gets in front of it,
+documents, to know the titles, to create your blog posts and your entries, right? So Quarto gets in front of it,
 
 00:26:31.040 --> 00:26:36.640
-does all of that orchestration work, then calls pendoc a number of times and then calls sort of
+does all of that orchestration work, then calls Pandoc a number of times and then calls sort of
 
 00:26:36.640 --> 00:26:43.200
 some post processors. And the way this integrates with engines and Jupyter and so on is our, what we
@@ -958,16 +958,16 @@ an engine in Quarto to exist is that it takes Markdown or Jupyter notebooks as i
 Jupyter notebooks as output or the Markdown annotated with those, results. And then we just sort of
 
 00:27:06.400 --> 00:27:11.440
-process them and send to pendoc, right? So really pendoc is, is at the center of what we can do with
+process them and send to Pandoc, right? So really Pandoc is, is at the center of what we can do with
 
 00:27:11.440 --> 00:27:16.640
 Quarto. And you can think of, Quarto as just sort of sitting around it and sort of expanding the scope
 
 00:27:16.640 --> 00:27:18.880
-of the things you can do with pendoc.
+of the things you can do with Pandoc.
 
 00:27:18.880 --> 00:27:23.840
-We've done a few more things. Like if you, to use pendoc typically, you know, there's, you know,
+We've done a few more things. Like if you, to use Pandoc typically, you know, there's, you know,
 
 00:27:23.840 --> 00:27:29.680
 160 command line options and you just kind of figure out how to, you know, it's tremendously powerful.
@@ -979,13 +979,13 @@ So we've tried to, I would say, organize that experience a little bit. so it's l
 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,
 
 00:27:38.160 --> 00:27:43.200
-you know, you can think of pendoc properly as like this sort of engine that you can do anything
+you know, you can think of Pandoc properly as like this sort of engine that you can do anything
 
 00:27:43.200 --> 00:27:48.000
 with. And we try to give you like the happy path to a bunch of things that you probably want to do.
 
 00:27:48.000 --> 00:27:52.960
-Yeah. I think that's hugely valuable because while pendoc is great, it's also
+Yeah. I think that's hugely valuable because while Pandoc is great, it's also
 
 00:27:52.960 --> 00:27:58.880
 super complicated. And a lot of times, if you want to combine different documents, you know, maybe I'm
@@ -1051,7 +1051,7 @@ abide by. It's sort of making hard things easy, but never at the expense of maki
 impossible. So, you know, we will provide you the happy path. We sort of, you know, the standard
 
 00:29:29.440 --> 00:29:34.000
-YAMO options, we have validation for them. We have completion, we have sort of integrated documentation
+YAML options, we have validation for them. We have completion, we have sort of integrated documentation
 
 00:29:34.000 --> 00:29:40.320
 if you're in VS Code, for example. But if you need to actually extend things, we give you a number of
@@ -1435,7 +1435,7 @@ check whether they are true or not, that seems transformative to me. Totally agr
 And so, so that's where I think it's most exciting work that's going to come out is how do we combine
 
 00:39:58.160 --> 00:40:04.080
-like these things? And one fascinating thing to me is that if you think about like PyLens, PyWrite or
+like these things? And one fascinating thing to me is that if you think about like PyLens, Pyright or
 
 00:40:04.080 --> 00:40:09.440
 Pydantic, these sort of like typing efforts for Python that exist in many other languages, something
@@ -1666,7 +1666,7 @@ going to become more important as we go forward rather than less. Yeah. Yeah. I
 back to your reproducible science initiatives, right? That's exactly right. Yeah.
 
 00:45:45.760 --> 00:45:51.280
-So let's talk about using Corto. Where can I run it? So it's, it looks like it's supported at least on
+So let's talk about using Quarto. Where can I run it? So it's, it looks like it's supported at least on
 
 00:45:51.280 --> 00:45:57.360
 the major OS's Mac, Windows, Linux. Yeah. Right. That's right. It's a, it's a command line tool

youtube_transcripts/313-pydantic.vtt

@@ -1029,7 +1029,7 @@ language server or their front-end for language server,
 
 
 00:11:26.360 --> 00:11:29.520
-PyWrite, to work with Pydantic and other such libraries.
+Pyright, to work with Pydantic and other such libraries.
 
 
 00:11:29.520 --> 00:11:31.720

youtube_transcripts/385-anyio.vtt

@@ -4377,7 +4377,7 @@ in addition to you know static type checking your application which you
 
 
 01:07:01.500 --> 01:07:07.620
-usually do with mypy, PyWrite or what have you, you can also do a runtime type
+usually do with mypy, Pyright or what have you, you can also do a runtime type
 
 
 01:07:07.620 --> 01:07:14.620

youtube_transcripts/448-open-source-full-time.vtt

@@ -49,7 +49,7 @@ a bit about who you are and what your project is to get started.
 that uses type hints. So those weird things you've seen after the colon in Python that
 
 00:01:36.520 --> 00:01:43.320
-mostly do nothing unless you run mypy or PyWrite, Pydantic basically enforces them. Almost exactly
+mostly do nothing unless you run mypy or Pyright, Pydantic basically enforces them. Almost exactly
 
 00:01:43.320 --> 00:01:48.240
 a year ago, I was sort of working on Pydantic full-time by then, but really spending my