Pandas tutorials

[harrylloyd-bl]

One study group was asking about pandas for data analysis and any good resources. It's a very useful package that you might consider if:

• you're doing data analysis
• you thought about doing it in excel
• you have delimited (.csv/.tsv) data
• you have a bunch of lists and dicts and it's all getting a bit much to keep track of

A few resources:

• From the Pandas docs Getting started and 10 mins to pandas
• Video series from Python Tutorials for Digital Humanities
• Written lesson on Programming Historian
• Another written option on the Python for Humanities carpentry
• Dive straight in with this Berkely colab notebook with a few intro problems

The Youtube channel and Programming Historian have a wealth of other digital humanities content appropriate to digital preservation as well!

[mpstrickland]

[like] Manuela Pallotto Strickland reacted to your message:

…

________________________________ From: harrylloyd-bl ***@***.***> Sent: Wednesday, January 24, 2024 4:38:53 PM To: Digital-Preservation-Coalition/PythonStudyGroups ***@***.***> Cc: Subscribed ***@***.***> Subject: [Digital-Preservation-Coalition/PythonStudyGroups] Pandas tutorials (Discussion #14) You don't often get email from ***@***.*** Learn why this is important<https://aka.ms/LearnAboutSenderIdentification> One study group was asking about pandas<https://pandas.pydata.org/> for data analysis and any good resources. It's a very useful package that you might consider if: * you're doing data analysis * you thought about doing it in excel * you have delimited (.csv/.tsv) data * you have a bunch of lists and dicts and it's all getting a bit much to keep track of A few resources: * From the Pandas docs Getting started<https://pandas.pydata.org/docs/getting_started/index.html> and 10 mins to pandas<https://pandas.pydata.org/docs/user_guide/10min.html> * Video series from Python Tutorials for Digital Humanities<https://www.youtube.com/playlist?list=PL2VXyKi-KpYsjfozVCczTi2GxNJS5dKTD> * Written lesson on Programming Historian<https://programminghistorian.org/en/lessons/crowdsourced-data-normalization-with-pandas> * Dive straight in with this Berkely colab notebook<https://ischoolonline.berkeley.edu/blog/python-pandas-practice-problems/> with a few intro problems The Youtube channel and Programming Historian have a wealth of other digital humanities content appropriate to digital preservation as well! — Reply to this email directly, view it on GitHub<#14>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AOU3S2W4FEFJGHN45FRFPETYQE2J3AVCNFSM6AAAAABCJCGUEWVHI2DSMVQWIX3LMV43ERDJONRXK43TNFXW4OZWGEZDOOBZGY>. You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>