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Merge pull request #240 from talkpython/master
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transcripts/003-Pyramid-Web Framework-Chris-McDonough.txt

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00:27:59 So so if you if you look inside of easy install dot PTH thing, Philip Eby took serious advantage of that, you know, when he wrote setup tools.
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00:28:08 And it's got it's got some some Python, inscrutable Python in there that does some fun stuff.
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00:28:08 And it's got it's got some Python, inscrutable Python in there that does some fun stuff.
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00:28:16 I think it sets up package resources on there.
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transcripts/003-Pyramid-Web Framework-Chris-McDonough.vtt

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So so if you if you look inside of easy install dot PTH thing, Philip Eby took serious advantage of that, you know, when he wrote setup tools.
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And it's got it's got some some Python, inscrutable Python in there that does some fun stuff.
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And it's got it's got some Python, inscrutable Python in there that does some fun stuff.
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I think it sets up package resources on there.

transcripts/028_profiling.txt

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00:27:28 a lot of cool advances in python 3 around this type of parallelism right and they just added async and
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00:27:37 await the the new keywords to uh is that three five i think it was right yeah just three fives just
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00:27:37 await the new keywords to uh is that three five i think it was right yeah just three fives just
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00:27:43 came out like two days yeah two days ago so yeah i mean that's super new but these are the types
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transcripts/028_profiling.vtt

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a lot of cool advances in python 3 around this type of parallelism right and they just added async and
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await the the new keywords to uh is that three five i think it was right yeah just three fives just
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await the new keywords to uh is that three five i think it was right yeah just three fives just
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came out like two days yeah two days ago so yeah i mean that's super new but these are the types

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

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00:30:59 All of that falls on us for the implications of these things.
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00:31:03 And we just have to get ready to drive that world because the the time is now for us to do that.
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00:31:03 And we just have to get ready to drive that world because the time is now for us to do that.
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00:31:10 But let's actually, you know, one of the things I think given your audience, I'd actually be really curious to hear what the audience has to say on this.
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00:31:40 That's you know, that's one that I think the community has an incredible opportunity to stand up and say this is where we believe.
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00:31:45 And I have no idea what the the broad consensus of data scientists are thinking, except for the ones that we've had a lot of interactions with our our very traditional White House processes.
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00:31:45 And I have no idea what the broad consensus of data scientists are thinking, except for the ones that we've had a lot of interactions with our our very traditional White House processes.
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00:31:58 And that makes sense.
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transcripts/089-a-conversation-with-the-chief-data-scientist-of-the-united-states.vtt

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All of that falls on us for the implications of these things.
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And we just have to get ready to drive that world because the the time is now for us to do that.
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And we just have to get ready to drive that world because the time is now for us to do that.
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But let's actually, you know, one of the things I think given your audience, I'd actually be really curious to hear what the audience has to say on this.
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That's you know, that's one that I think the community has an incredible opportunity to stand up and say this is where we believe.
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And I have no idea what the the broad consensus of data scientists are thinking, except for the ones that we've had a lot of interactions with our our very traditional White House processes.
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And I have no idea what the broad consensus of data scientists are thinking, except for the ones that we've had a lot of interactions with our our very traditional White House processes.
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And that makes sense.

transcripts/157-the-journal-of-open-source-software.txt

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00:24:30 ecosystem. I was looking today, and there was a paper, it was a scikit-learn
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00:24:36 contript package. I think it was the HDB scan, some some new, you know, implementation of a of a of an
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00:24:36 contript package. I think it was the HDB scan, some new, you know, implementation of a of a of an
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00:24:44 algorithm. And it was somebody at a university and somebody from Spotify, I think, or, or no, Shopify,
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transcripts/157-the-journal-of-open-source-software.vtt

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ecosystem. I was looking today, and there was a paper, it was a scikit-learn
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contript package. I think it was the HDB scan, some some new, you know, implementation of a of a of an
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contript package. I think it was the HDB scan, some new, you know, implementation of a of a of an
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algorithm. And it was somebody at a university and somebody from Spotify, I think, or, or no, Shopify,

transcripts/496-scaf-deploys.vtt

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- I don't know, not being on your show, I guess.
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I actually was super excited when you asked that I could be on here, This has been like a life goal, at least a goal since Talk Python to me has ever existed.
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I actually was super excited when you asked that I could be on here, This has been like a life goal, at least a goal since Talk Python To Me has ever existed.
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>> I really appreciate that. That's very kind.

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