awesome-codejam-resources
github.com/mcgill-ecsess/awesome-codejam-resources ↗💫 A curated list of pattern recognition resources for CodeJam 2019
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 🔢 data set resources resources from awesome-codejam-resources"
Installation instructions →What's inside
🔢 Data Set Resources
👶 Basics
- A Beginner’s Guide to HTTP and REST
A more in-depth guide on how to use REST APIs.
- Automate the Boring Stuff with Python
An in-depth series of tutorials to learn how to code in Python. If you don't know what language to use, Python is a good start!
- Google Machine Learning Crash Course
If you want to ramp up quick on machine learning.
- Learn Git Branching
Interactive tutorial to learn Git, the most popular version control system for collaborative programming.
- Roadmap to Fullstack Web Development
Web projects are some of the easiest to make during a hackathon. Learn more about different technologies that are commonly used!
- Titanic: Machine Learning from Disaster
A beginner-friendly prediction competition.
🔌 Useful Plug and Play APIs
🏡 Hosting your application
🛠 Recommended Software
- GitHub Desktop
Easy-to-use Git GUI interface so you don't need to use the command line.
- Jupyter Notebooks
Powerful Python tool hosted as a web app useful for writing and organizing Machine Learning code. Very visually appealing and great for running code snippets.
- Postman
REST API testing tool.
- Visual Studio Code
Your favorite programmer's favorite text editor.
🏎 Boilerplates
Showing a sample of 70 resources. View the full list on GitHub →