Merge pull request #147 from manikanta-hitunik-com/patch-145

Update 462-pandas-and-beyond-with-wes.txt

Author: mikeckennedy

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

@@ -2,7 +2,7 @@
 
 00:00:05 with one of its pioneers, Wes McKinney.
 
-00:00:08 He's the creator or co-creator of the pandas Apache Arrow and Evus projects, as well as
+00:00:08 He's the creator or co-creator of the pandas Apache Arrow and IBIS projects, as well as
 
 00:00:13 an entrepreneur in this space.
 
@@ -12,7 +12,7 @@
 
 00:00:25 You're listening to Michael Kennedy on Talk Python to Me.
 
-00:00:28 Life from Portland, Oregon, and this segment was made with Python.
+00:00:28 Live from Portland, Oregon, and this segment was made with Python.
 
 00:00:33 Welcome to Talk Python to Me, a weekly podcast on Python.
 
@@ -656,7 +656,7 @@
 
 00:19:59 a extensions to Markdown that allow you to have code cells written in, in our and then
 
-00:20:05 eventually they added support for some other languages where it's kind of like a Jupiter
+00:20:05 eventually they added support for some other languages where it's kind of like a Jupyter
 
 00:20:08 notebook in the sense that you could have some Markdown and some code and some plots
 
@@ -692,7 +692,7 @@
 
 00:21:11 But but as a result, you know, I think our the the Posit team had a lot of just has more
 
-00:21:16 than a, you know, a decade, or if you include cold fusion, you know, more than 25 years
+00:21:16 than a, you know, a decade, or if you include Cold Fusion, you know, more than 25 years
 
 00:21:20 of experience and in building really developer friendly technical publishing tools.
 
@@ -734,7 +734,7 @@
 
 00:22:18 And I think history of the project is interesting.
 
-00:22:20 And I think also how the project has has developed in the intervening 1516 years is pretty interesting
+00:22:20 And I think also how the project has has developed in the intervening 15 16 years is pretty interesting
 
 00:22:28 as well.
 
@@ -808,15 +808,15 @@
 
 00:24:36 Have you heard of the Django knots?
 
-00:24:38 The Django knots?
+00:24:38 The Djangonauts?
 
-00:24:39 I think it's Django knots dot space.
+00:24:39 I think it's Djangonauts dot space.
 
 00:24:40 They have an awesome domain.
 
 00:24:42 But it's basically like kind of like a boot camp, but it's for taking people who just
 
-00:24:46 like Dingo and turn them into actually contributors or core contributors.
+00:24:46 like Django and turn them into actually contributors or core contributors.
 
 00:24:50 What's your onboarding story for people who do want to participate?
 
@@ -1116,7 +1116,7 @@
 
 00:34:07 development life cycles.
 
-00:34:08 What do you think about JupyterLite and these PyOxidized and basically Jupyter in a browser
+00:34:08 What do you think about JupyterLite and these PyOdide and basically Jupyter in a browser
 
 00:34:17 type of things, WebAssembly and all that?
 
@@ -1594,7 +1594,7 @@
 
 00:49:05 You have this tool, which, so maybe you could work with, you know, DuckDB on your laptop
 
-00:49:10 or pandas or pollers with Ibis on your laptop.
+00:49:10 or pandas or polars with Ibis on your laptop.
 
 00:49:13 But if you have, if you need to run that workload someplace else, maybe with, you know, ClickHouse
 
@@ -1620,11 +1620,11 @@
 
 00:49:59 that's hard to get rid of.
 
-00:50:01 And so that's why you have Richie Fink started the Pollers project, which is kind of a reimagining
+00:50:01 And so that's why you have Richie Fink started the Polars project, which is kind of a reimagining
 
 00:50:06 of pandas, pandas data frames written in Rust and exposed in Python.
 
-00:50:11 And Pollers, of course, is built on Apache Arrow at its core.
+00:50:11 And Polars, of course, is built on Apache Arrow at its core.
 
 00:50:15 So building an Arrow native data frame library in Rust and, you know, all the benefits that
 
@@ -1636,7 +1636,7 @@
 
 00:50:29 When you're talking about Arrow and supporting different ways of using it and things being
 
-00:50:32 built on it, certainly Pollers came to mind for me.
+00:50:32 built on it, certainly Polars came to mind for me.
 
 00:50:35 You know, when you talk about Ibis, I think it's interesting that a lot of these data
 
@@ -1955,4 +1955,3 @@
 00:59:29 [MUSIC PLAYING]
 
 00:59:32 [END PLAYBACK]
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