Pandas tutorials #14
harrylloyd-bl
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Subject: [Digital-Preservation-Coalition/PythonStudyGroups] Pandas tutorials (Discussion #14)
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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!
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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:
A few resources:
The Youtube channel and Programming Historian have a wealth of other digital humanities content appropriate to digital preservation as well!
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