Pandas Notes

This is my collection of Pandas notes and examples, mostly oriented toward security analysts. There are many like it, but this one is mine.

There are lots of examples of using Pandas for statistical or numeric data, but not that many oriented toward log data and string data.

If you are a Pandas beginner, consider starting with simple_string_matching.ipynb.

If you know some Pandas and want to see something a little more advanced, this might be new.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
README.md		README.md
add_ip_network.ipynb		add_ip_network.ipynb
comparing-dates-in-dataframes.ipynb		comparing-dates-in-dataframes.ipynb
extract_ip_from_df.ipynb		extract_ip_from_df.ipynb
filter_private_ips.ipynb		filter_private_ips.ipynb
finding_commonalities_in_groupby.ipynb		finding_commonalities_in_groupby.ipynb
first-last-seen-in-logs.ipynb		first-last-seen-in-logs.ipynb
git2hash.ipynb		git2hash.ipynb
passive_total_pdns_api.ipynb		passive_total_pdns_api.ipynb
simple_string_matching.ipynb		simple_string_matching.ipynb

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