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4 changes: 2 additions & 2 deletions transcripts/482-pre-commit-hooks-for-python-devs.txt
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00:00:08 tired of dealing with tons of conflicts and spurious Git changes? You need Git pre-commit

00:00:13 hooks. Well, we're lucky to have Stephanie Mullen on the show today, who has done a bunch of writing
00:00:13 hooks. Well, we're lucky to have Stephanie Molin on the show today, who has done a bunch of writing

00:00:18 and teaching of Git hooks. This is Talk Python to Me, episode 482, recorded October 24th, 2024.

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00:03:08 Yeah. Now, before we get to that, how about your story? How do you get into programming Python and

00:03:14 pre-commit hooks and all these things? Hello everyone. I'm Stephanie Mullen. I am a software engineer at
00:03:14 pre-commit hooks and all these things? Hello everyone. I'm Stephanie Molin. I am a software engineer at

00:03:18 Bloomberg. And I would say, I guess I got into programming in Python. I initially was programming

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4 changes: 2 additions & 2 deletions transcripts/482-pre-commit-hooks-for-python-devs.vtt
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Expand Up @@ -10,7 +10,7 @@ What about your team member's code? That one person who never wants to run the l
tired of dealing with tons of conflicts and spurious Git changes? You need Git pre-commit

00:00:13.240 --> 00:00:18.900
hooks. Well, we're lucky to have Stephanie Mullen on the show today, who has done a bunch of writing
hooks. Well, we're lucky to have Stephanie Molin on the show today, who has done a bunch of writing

00:00:18.900 --> 00:00:26.280
and teaching of Git hooks. This is Talk Python to Me, episode 482, recorded October 24th, 2024.
Expand Down Expand Up @@ -109,7 +109,7 @@ So it should be a lot of fun. I'm looking forward to it. Me too.
Yeah. Now, before we get to that, how about your story? How do you get into programming Python and

00:03:14.060 --> 00:03:18.900
pre-commit hooks and all these things? Hello everyone. I'm Stephanie Mullen. I am a software engineer at
pre-commit hooks and all these things? Hello everyone. I'm Stephanie Molin. I am a software engineer at

00:03:18.900 --> 00:03:25.220
Bloomberg. And I would say, I guess I got into programming in Python. I initially was programming
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00:21:04 Oh, wow.

00:21:04 There's a community extension to read BigQuery.
00:21:04 There's a community extension to read Big Query.

00:21:06 So it's really a universal Swiss Army knife in a lot of ways to read from those operational data stores, but to do those analytical tasks.

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00:27:42 So one key note, if folks really know a lot about SQLite, one of the defining characteristics of it is that it is very much non-typed as much as possible.

00:27:50 VectDB is very much more traditional in that it does have typing.
00:27:50 Vector DB is very much more traditional in that it does have typing.

00:27:55 It does take full advantage of having nice numeric data types, date times that are true date times, not strings.

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00:28:46 It's worse than that.

00:28:49 But DuckTB is okay and ready to handle it and making it easy.
00:28:49 But DuckDB is okay and ready to handle it and making it easy.

00:28:54 Because it really aligns with the DuckTB ethos, which is a database shouldn't be extra work.
00:28:54 Because it really aligns with the DuckDB ethos, which is a database shouldn't be extra work.

00:28:58 It should be saving you work.

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00:29:21 Yeah.

00:29:22 Yes, there's a long tail of complexity there, but DuckTB is really trying to handle that
00:29:22 Yes, there's a long tail of complexity there, but DuckDB is really trying to handle that

00:29:27 and just make that first experience using a database just straight out of the box.

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00:41:08 So AWS, Google, Azure, you can read individual files or actually it'll understand hierarchies of files.

00:41:15 So if you have like a top level folder for a year and a folder for month and day, if you filter for I only want three days worth of data, DuckTB will only read three files.
00:41:15 So if you have like a top level folder for a year and a folder for month and day, if you filter for I only want three days worth of data, DuckDB will only read three files.

00:41:24 So it's pretty slick.

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00:48:57 All right.

00:48:57 You gotta have fun with it.
00:48:57 You got to have fun with it.

00:48:59 Right.

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00:49:38 And the reason for that is you no longer need 50 servers to answer your questions.

00:49:43 It turns out laptops are pretty daggone fast now.
00:49:43 It turns out laptops are pretty Dagon fast now.

00:49:45 Yeah.

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01:01:39 Now get out there and write some Python code.

01:01:41 You You you you Thank you.

01:01:41 You Thank you.
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It's worse than that.

00:28:49.000 --> 00:28:54.380
But DuckTB is okay and ready to handle it and making it easy.
But DuckDB is okay and ready to handle it and making it easy.

00:28:54.460 --> 00:28:58.580
Because it really aligns with the DuckTB ethos, which is a database shouldn't be extra work.
Because it really aligns with the DuckDB ethos, which is a database shouldn't be extra work.

00:28:58.580 --> 00:28:59.840
It should be saving you work.
Expand Down Expand Up @@ -1627,7 +1627,7 @@ But here's my CSV and actually you need to transform it or whatever.
Yeah.

00:29:22.420 --> 00:29:27.020
Yes, there's a long tail of complexity there, but DuckTB is really trying to handle that
Yes, there's a long tail of complexity there, but DuckDB is really trying to handle that

00:29:27.020 --> 00:29:31.760
and just make that first experience using a database just straight out of the box.
Expand Down Expand Up @@ -2317,7 +2317,7 @@ You can read from any of the major clouds.
So AWS, Google, Azure, you can read individual files or actually it'll understand hierarchies of files.

00:41:15.300 --> 00:41:24.260
So if you have like a top level folder for a year and a folder for month and day, if you filter for I only want three days worth of data, DuckTB will only read three files.
So if you have like a top level folder for a year and a folder for month and day, if you filter for I only want three days worth of data, DuckDB will only read three files.

00:41:24.260 --> 00:41:25.040
So it's pretty slick.
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Python and pre-commit hooks and all these things? Stephanie Pau: Oh, well, so I, hello everyone.

00:00:56.480 --> 00:01:04.240
I'm Stephanie Mullen. I am a software engineer at Bloomberg. And I would say, I guess I got into
I'm Stephanie Molin. I am a software engineer at Bloomberg. And I would say, I guess I got into

00:01:04.240 --> 00:01:11.920
programming in Python. I initially was programming in R and I was doing more data analysis while still
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2 changes: 1 addition & 1 deletion youtube_transcripts/493-great-tables.vtt
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They're massively important because it shows you it's.

00:53:45.200 --> 00:53:53.560
I had Stephanie, Stephanie Mullen on a little while ago, and she has this project that sort of.
I had Stephanie, Stephanie Molin on a little while ago, and she has this project that sort of.

00:53:53.560 --> 00:54:03.900
If you want the same information about the statistical summary of some set of data, like the standard distribution, the mean, the max, the min.
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