transcripts

Author: mikeckennedy

transcripts/003-Pyramid-Web Framework-Chris-McDonough.txt

@@ -718,7 +718,7 @@
 
 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.
 
-00:28:08 And it's got it's got some some Python, inscrutable Python in there that does some fun stuff.
+00:28:08 And it's got it's got some Python, inscrutable Python in there that does some fun stuff.
 
 00:28:16 I think it sets up package resources on there.
 

transcripts/003-Pyramid-Web Framework-Chris-McDonough.vtt

@@ -1087,7 +1087,7 @@ Oh, boy.
 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.
 
 00:28:08.700 --> 00:28:16.560
-And it's got it's got some some Python, inscrutable Python in there that does some fun stuff.
+And it's got it's got some Python, inscrutable Python in there that does some fun stuff.
 
 00:28:16.560 --> 00:28:19.500
 I think it sets up package resources on there.

transcripts/028_profiling.txt

@@ -422,7 +422,7 @@
 
 00:27:28 a lot of cool advances in python 3 around this type of parallelism right and they just added async and
 
-00:27:37 await the the new keywords to uh is that three five i think it was right yeah just three fives just
+00:27:37 await the new keywords to uh is that three five i think it was right yeah just three fives just
 
 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
 

transcripts/028_profiling.vtt

@@ -865,7 +865,7 @@ i mean as long as everything else is not the bottleneck right and you know we've
 a lot of cool advances in python 3 around this type of parallelism right and they just added async and
 
 00:27:37.600 --> 00:27:43.960
-await the the new keywords to uh is that three five i think it was right yeah just three fives just
+await the new keywords to uh is that three five i think it was right yeah just three fives just
 
 00:27:43.960 --> 00:27:49.100
 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

@@ -874,7 +874,7 @@
 
 00:30:59 All of that falls on us for the implications of these things.
 
-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.
+00:31:03 And we just have to get ready to drive that world because the time is now for us to do that.
 
 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.
 
@@ -890,7 +890,7 @@
 
 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.
 
-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.
+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.
 
 00:31:58 And that makes sense.
 

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

@@ -1321,7 +1321,7 @@ And what are the implications of that?
 All of that falls on us for the implications of these things.
 
 00:31:03.520 --> 00:31:10.620
-And we just have to get ready to drive that world because the the time is now for us to do that.
+And we just have to get ready to drive that world because the time is now for us to do that.
 
 00:31:10.620 --> 00:31:19.440
 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.
@@ -1345,7 +1345,7 @@ Where do we stand?
 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.
 
 00:31:45.920 --> 00:31:58.660
-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.
+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.
 
 00:31:58.660 --> 00:32:00.640
 And that makes sense.

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

@@ -560,7 +560,7 @@
 
 00:24:30 ecosystem. I was looking today, and there was a paper, it was a scikit-learn
 
-00:24:36 contript package. I think it was the HDB scan, some some new, you know, implementation of a of a of an
+00:24:36 contript package. I think it was the HDB scan, some new, you know, implementation of a of a of an
 
 00:24:44 algorithm. And it was somebody at a university and somebody from Spotify, I think, or, or no, Shopify,
 

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

@@ -844,7 +844,7 @@ career progressions. But we do have people in commercial companies as well, espe
 ecosystem. I was looking today, and there was a paper, it was a scikit-learn
 
 00:24:36.260 --> 00:24:44.560
-contript package. I think it was the HDB scan, some some new, you know, implementation of a of a of an
+contript package. I think it was the HDB scan, some new, you know, implementation of a of a of an
 
 00:24:44.560 --> 00:24:51.260
 algorithm. And it was somebody at a university and somebody from Spotify, I think, or, or no, Shopify,

transcripts/496-scaf-deploys.vtt

@@ -148,7 +148,7 @@ What have you been doing all this time?
 - I don't know, not being on your show, I guess.
 
 00:04:09.160 --> 00:04:17.100
-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.
+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.
 
 00:04:17.269 --> 00:04:18.959
 >> I really appreciate that. That's very kind.

transcripts/499-beeware-and-the-state-of-python-on-mobile.vtt

@@ -553,7 +553,7 @@ in the forest forest
 yeah exactly one
 
 00:08:56.180 --> 00:09:00.120
-of the one of the the stimulus for me working on this there was a couple
+of the one of the stimulus for me working on this there was a couple
 
 00:09:00.260 --> 00:09:04.700
 but one of them is that my son who is now first year university but at the time when i was sort