Curated resources
Tools and materials I actually use
A directory of software, documentation, and study tools I tested during daily coursework, with clear notes on what each one is for.
Grouped picks
Three stacks for everyday study
Data science environments
Notebook setups and library documentation I return to when working through Python and analysis exercises.
IDE extensions
Editor add-ons that help with linting, formatting, and navigating small coding projects without slowing down.
Open datasets
Public datasets I have used for practice, with notes on their structure and the cleaning they needed.
Our standards
How I choose and disclose
I list tools that helped my coursework and explain what I used them for. Each review reflects my own use, not a sponsored ranking.
Some links on this page are affiliate links. If you buy through them, I may earn a small commission at no extra cost to you. Affiliate links are always marked, and they never change which tools I recommend.