Foundational Resources
Courses, tutorials, and guides for building core skills in programming and machine learning.
Machine Learning Fundamentals
Neural Networks: Zero to Hero
github.com/karpathy/nn-zero-to-hero
Andrej Karpathy’s legendary tutorial series on neural networks and NLP. Start here if you’re new to deep learning.
The Turing Way
github.com/the-turing-way/the-turing-way
Comprehensive guide to reproducible, ethical, and collaborative data science. Essential for research best practices.
Programming for Scientists
Version Control & Collaboration
| Resource | Description | Level |
|---|---|---|
| Introduction to Version Control for Scientists | Getting started with Git and GitHub for research | Beginner |
Python for Science
| Resource | Description | Level |
|---|---|---|
| Scientific Computing for Chemists | Python fundamentals with chemistry applications | Beginner |
| MolSSI: Python Scripting CMS | Molecular Sciences Software Institute curriculum | Beginner-Intermediate |
| Deep Learning for Chemistry 101 | Introduction to deep learning methods for chemistry | Intermediate |
Awesome Lists
| List | Focus |
|---|---|
| awesome-learning-digital-chemistry | Learning resources for digital chemistry |
| awesome-chemical-engineering-education | ChemE education resources |
Blogs & Perspectives
| Blog | Focus | Link |
|---|---|---|
| Kevin Jablonka’s Blog | LLMs, materials science, AI4Science | kjablonka.com |