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comp / comp.os.linux.advocacy / Re: Pandas and Python

SubjectAuthor
* Excel and Pythonrbowman
`* Re: Pandas and PythonLawrence D'Oliveiro
 `- Re: Pandas and Pythonrbowman

1
Subject: Excel and Python
From: rbowman
Newsgroups: comp.os.linux.advocacy
Date: Sat, 2 Nov 2024 00:14 UTC
Path: eternal-september.org!news.eternal-september.org!feeder2.eternal-september.org!fu-berlin.de!uni-berlin.de!individual.net!not-for-mail
From: bowman@montana.com (rbowman)
Newsgroups: comp.os.linux.advocacy
Subject: Excel and Python
Date: 2 Nov 2024 00:14:30 GMT
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https://realpython.com/podcasts/rpp/226/?t=146811

Disclaimer: I got bored about halfway through but it might be of interest
to anyone using Python and Excel.

Subject: Re: Pandas and Python
From: Lawrence D'Oliv
Newsgroups: comp.os.linux.advocacy
Organization: A noiseless patient Spider
Date: Sat, 2 Nov 2024 00:33 UTC
References: 1
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From: ldo@nz.invalid (Lawrence D'Oliveiro)
Newsgroups: comp.os.linux.advocacy
Subject: Re: Pandas and Python
Date: Sat, 2 Nov 2024 00:33:53 -0000 (UTC)
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On 2 Nov 2024 00:14:30 GMT, rbowman wrote:

> Disclaimer: I got bored about halfway through but it might be of
> interest to anyone using Python and Excel.

Here
<https://www.youtube.com/playlist?list=PL-osiE80TeTsWmV9i9c58mdDCSskIFdDS>
is a skill worth investing in, without the risk of being obsoleted just
because Microsoft gets bored with it.

Subject: Re: Pandas and Python
From: rbowman
Newsgroups: comp.os.linux.advocacy
Date: Sat, 2 Nov 2024 01:37 UTC
References: 1 2
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From: bowman@montana.com (rbowman)
Newsgroups: comp.os.linux.advocacy
Subject: Re: Pandas and Python
Date: 2 Nov 2024 01:37:31 GMT
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On Sat, 2 Nov 2024 00:33:53 -0000 (UTC), Lawrence D'Oliveiro wrote:

> On 2 Nov 2024 00:14:30 GMT, rbowman wrote:
>
>> Disclaimer: I got bored about halfway through but it might be of
>> interest to anyone using Python and Excel.
>
> Here
> <https://www.youtube.com/playlist?list=PL-
osiE80TeTsWmV9i9c58mdDCSskIFdDS>
> is a skill worth investing in, without the risk of being obsoleted just
> because Microsoft gets bored with it.

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different
Sources - Excel, JSON, SQL, Etc

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