Resources
Over time, I’ve discovered a range of courses/MOOCs, libraries, research papers, and tutorials that have proven valuable. In this section, I’m pulling them together into neat lists by category—whether you’re looking for AI tools to streamline your workflow, data visualization libraries to bring numbers to life, or a “must-read” selection of papers and articles. The goal is to give you a curated set of resources that can help you learn, experiment, and stay current.
AI Tools
- Tool Name: Brief description of what it does and why it’s useful.
- Another Tool: Short description.
Data Visualization Libraries
- Library 1: A few words on its strengths and use cases.
- Library 2: Why this might be your go-to for certain projects.
Must-Read Papers & Articles
- Paper/Article Title: One-line summary of its importance.
- Paper/Article Title 2: Another key reading and what you’ll learn from it.
Courses / MOOCs
- Course Name: Platform it’s on and what you’ll learn.
- Another Course: Who it’s for and why it’s valuable.
Tutorials
- Tutorial Name: What it covers and skill level required.
- Tutorial Name 2: Any special insights or outcomes.
