diff --git a/transcripts/492-great-tables.txt b/transcripts/492-great-tables.txt index d4fabf05..7d1cf879 100644 --- a/transcripts/492-great-tables.txt +++ b/transcripts/492-great-tables.txt @@ -1,4 +1,4 @@ -00:00:00 Join me as I chat with Rich Annone and Michael Chow from Posit, where we explore the transformative +00:00:00 Join me as I chat with Rich Iannone and Michael Chow from Posit, where we explore the transformative 00:00:05 power of data tables with the Great Tables Library. @@ -6,7 +6,7 @@ 00:00:13 advanced formatting can elevate your data presentations. -00:00:16 And you'll learn about innovative features like nanoplots and interactive elements, as +00:00:16 And you'll learn about innovative features like nano plots and interactive elements, as 00:00:21 well as the importance of structure, format, and style in crafting tables that inspire. @@ -144,7 +144,7 @@ 00:03:59 It's an awesome episode. -00:04:00 Rich, Michael, welcome to Talk Bython Me. +00:04:00 Rich, Michael, welcome to Talk Python to Me. 00:04:04 Great to have you two here. @@ -272,7 +272,7 @@ 00:06:20 That was like a major problem. -00:06:22 Actually had to retranscribe them. +00:06:22 Actually had to re-transcribe them. 00:06:24 There was many of them. @@ -744,7 +744,7 @@ 00:16:26 For a limited time, you can try Posit Connect for free for three months by going to talkpython.fm -00:16:31 slash posit. +00:16:31 /posit. 00:16:32 That's talkpython.fm/P-O-S-I-T. @@ -888,7 +888,7 @@ 00:19:45 Amazing. -00:19:45 I feel like Edward Tuftay must come into existence a lot for you guys. +00:19:45 I feel like Edward Tufte must come into existence a lot for you guys. 00:19:52 But it kind of goes to show tables can be cool, right? @@ -1252,7 +1252,7 @@ 00:27:39 They teach you to be economical with how much data you put on, how much, basically the -00:27:43 Tufti thing, how much ink are you going to like spend on a visualization? +00:27:43 Tufte thing, how much ink are you going to like spend on a visualization? 00:27:46 And, it just carries it through to all the different parts, which is, you know, amazing. @@ -1572,7 +1572,7 @@ 00:34:53 Selectors. -00:34:54 So that really was eyeopening to us. +00:34:54 So that really was eye opening to us. 00:34:56 And I think the polars team a little bit, I think they hadn't, I think great tables was @@ -1670,7 +1670,7 @@ 00:36:35 So yeah. -00:36:36 Pandas are polar's polar's has some really nice benefits like selectors. +00:36:36 Pandas are polar's has some really nice benefits like selectors. 00:36:40 And then it also, it's used quite a bit whenever we style a table. @@ -1744,7 +1744,7 @@ 00:38:15 represents the structure of the table. -00:38:17 A little Flutter or HTML-esque in that sense. +00:38:17 A little Flutter or HTML-eques in that sense. 00:38:21 Yeah. @@ -2010,7 +2010,7 @@ 00:43:33 Like, yeah, it's actually inspiring every time. -00:43:36 It's gotta be pretty hard to build a framework around such a visual flexibility, you know? +00:43:36 It's got to be pretty hard to build a framework around such a visual flexibility, you know? 00:43:41 Yeah. @@ -2330,7 +2330,7 @@ 00:51:32 But if you look at the, the nano plots, some of them are really spotty and some of them are -00:51:38 pretty much flat and that it tells you a whole nother dimension. +00:51:38 pretty much flat and that it tells you a whole another dimension. 00:51:41 That's kind of, this is kind of what I was getting at. @@ -2388,7 +2388,7 @@ 00:52:57 I think there are interactive table libraries too. -00:53:01 So one we have ported to Python recently is called Reactable. +00:53:01 So one we have ported to Python recently is called React-table. 00:53:05 So we made a port called ReactablePy that it offers expanding tables. @@ -2584,7 +2584,7 @@ 00:57:42 And that was so helpful to have as a issue. -00:57:45 And I think that contribution to GreatTable is really huge. +00:57:45 And I think that contribution to Great Table is really huge. 00:57:50 Yeah. @@ -2610,7 +2610,7 @@ 00:58:02 So that's really good. -00:58:04 And I see Carol noted Quarto, which is actually the whole GreatTable's website is built with +00:58:04 And I see Carol noted Quarto, which is actually the whole Great Table's website is built with 00:58:09 Quarto. @@ -2626,7 +2626,7 @@ 00:58:23 And it's also developed by Posit. -00:58:25 But we, yeah, we end up putting tables a lot in like Quarto documents or the like GreatTables +00:58:25 But we, yeah, we end up putting tables a lot in like Quarto documents or the like Great Tables 00:58:32 website. @@ -2648,7 +2648,7 @@ 00:58:43 I guess for context. -00:58:44 So like some tools like IBIS, their API docs and the GreatTables docs. +00:58:44 So like some tools like IBIS, their API docs and the Great Tables docs. 00:58:49 Yeah. @@ -2674,7 +2674,7 @@ 00:59:09 Yeah. -00:59:10 I think we want to port quite a bit more from the R program over to GreatTables. +00:59:10 I think we want to port quite a bit more from the R program over to Great Tables. 00:59:14 That includes things like merging, concatenating values from different columns into single columns. @@ -2704,9 +2704,9 @@ 00:59:43 Excel's a big one. -00:59:46 We'll put GreatTables in Excel so you can just go all the way to the bottom, wherever that is. +00:59:46 We'll put Great Tables in Excel so you can just go all the way to the bottom, wherever that is. -00:59:51 Well, I think one other thing to note is extensions that in R, tons of people have extended GT, the GreatTables for R. +00:59:51 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 And tons of helper packages. @@ -2714,9 +2714,9 @@ 01:00:09 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 -01:00:09 GreatTables. +01:00:09 Great Tables. -01:00:20 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. +01:00:20 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 And so it'd be cool to try to foster that kind of ecosystem and extension. @@ -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. @@ -2882,37 +2882,3 @@ 01:03:59 Bye. -01:04:00 Bye. - -01:04:01 Bye. - -01:04:02 Bye. - -01:04:03 Bye. - -01:04:04 Bye. - -01:04:05 Bye. - -01:04:06 Bye. - -01:04:07 Bye. - -01:04:08 Bye. - -01:04:09 Bye. - -01:04:10 Bye. - -01:04:11 Bye. - -01:04:12 Bye. - -01:04:13 Bye. - -01:04:14 Bye. - -01:04:15 Bye. - -01:04:16 you Thank you. -