These are my go-to libraries for Python data crunching.

The days of manually copying and pasting data into Excel. That is the worst kind of bad debt, throwing away your precious resources (time and brain processing power) down the drain. If you think of ...

This research is part of a joint initiative between the Cloud Security Alliance (CSA) and OWASP AI Exchange, building upon the previously published Agentic AI Red Teaming Guide. The objective of this ...

pandas is the premier library for data analysis in Python. Here are some advanced things I like to do with pandas DataFrames to take my analysis to the next level. Change the index of a DataFrame On a ...

MPEA dataset The complete database file. Contains all compositions, properties, and reference info. Compositions A csv of all the unique compositions in the database. Grouped by composition A styled ...

Since Github doesn't provide a great way for you to learn about new releases and features, don't just star the repo, join the mailing list. dsq will likely work on other platforms that Go is ported to ...