#200: Escaping Excel Hell with Python and Pandas

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 21 February 2019

⏱️ 65 minutes

🔗️ Recording | iTunes | RSS

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Summary

Do you know or maybe work with people who abuse Excel? Is it their hammer to pound all the computational problems that get in their way? Well, join me to chat about this opportunity to bring Python deeper into their lives. You'll meet Chris Moffitt who runs Practical Business Python. He works with lots of folks who could make better use of Python to solve their business problems and he has a ton of material on his website. It's time to escape Excel hell with Python and Pandas.

Transcript

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0:00.0	Do you know, or maybe work with people who abuse Excel?
0:03.7	Is it their hammer to pound all the computational problems they get in their way?
0:07.9	Well, join me to chat about this opportunity to bring Python deeper into their lives.
0:12.6	You'll meet Chris Moffat, who runs practical business Python.
0:15.9	He works with lots of folks who could make better use of Python to solve their business problems
0:19.7	and has a ton of material on his website focusing on just that. It's time to escape Excel Hell with Python and
0:26.5	Pandas. This is Talk Python to Me. Episode weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.
0:52.2	This is your host, Michael Kennedy. Follow me on Twitter
0:54.7	where I'm at M Kennedy. Keep up with the show and listen to past episodes at talk python.fm.
0:59.7	And follow the show on Twitter via at Talk Python. This episode is brought to you by Linode and Stellarrest.
1:05.6	Please check out what they're offering during their segments. It really helps support the show.
1:09.7	Chris, welcome to Talk Python. Hey, great to be show. Chris, welcome to talk by then.
1:11.0	Hey,
1:11.3	great to be here.
1:12.1	Yeah,
1:12.2	it's great to have you here.
1:13.1	You've got some really interesting and amusing presentations around Excel.
1:18.4	Yes.
1:19.2	Not doing bad things with Excel,
1:20.9	but maybe using it when they should use something else like Python or Pandas.
1:25.5	Absolutely.
1:26.4	Yeah,
	...

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