01:14:28	Matt Matti:	Thanks for putting this on to all the hosts.
01:14:59	Sean T.:	Reacted to "Thanks for putting t..." with ❤️
01:25:16	Grant T.:	Does asciinema mess with the TERM environment variable?  Or does it simply pass through to the actual terminal?
01:42:30	Ron BC:	Great podcast, I like that as well as his Linux After Dark
01:42:36	Sean T.:	https://linuxdowntime.com/linux-downtime-episode-83/
01:48:04	Sean T.:	https://asciinema.org/docs/how-it-works
01:48:52	Matt Matti:	Great job! Looks very neat.
01:49:00	Sean T.:	Reacted to "Great job! Looks ver..." with ❤️
01:57:41	Sean T.:	Switching computers brb
02:12:32	Carey Schug:	sorry, beyond me
02:24:47	Ron BC:	In python: `import pandas as pd`
02:27:10	Matt Matti:	Reacted to "In python: `import p..." with 👍
02:49:22	James conroy:	Got to drop. Good talks everyone
03:03:36	Sean T.:	Gotta head out. Thanks all.
03:11:56	Matt Matti:	I think one hot encoding is a ML term.
03:17:04	Grant T.:	One-hot:  https://en.wikipedia.org/wiki/One-hot
Dummy:  https://en.wikipedia.org/wiki/Dummy_variable_(statistics)
03:17:18	Matt Matti:	Reacted to "One-hot:  https://en..." with 👍
03:42:18	Grant T.:	LOL

Multi-line cells are a thing in a lot of data I work with.
03:43:40	Matt Matti:	Great job getting a start into Panda's and Python. I am very new to this, both seem like very promising tools, that I look forward to using.  A lot of very great, important, and new things.
03:51:49	Matt Matti:	This might be a dumb question, would using a python generator and yield help with a memory issue? I have heard of them, never got into them yet.
03:58:00	Matt Matti:	Thanks for the great answer. 
A lot to learn here.
03:58:21	Grant T.:	2000 <> 2,000 <> 2k
04:01:45	Grant T.:	Got to go.
Good presentation.
Thank you.
73
04:03:40	Robert Levitt:	Sayonara, all.  I have a few things to take care of before I go to bed.
04:05:31	Matt Matti:	Good call!!!!!!! HA
04:07:19	Matt Matti:	👋
04:08:56	Robert's Windows:	https://deepdivecoding.com/data-science/