project-based-learning VS Exercism - Scala Exercises

Project-based learning — Explore the Project Based Learning repository

💻 5. Project-Based Learning 📍 https://github.com/practical-tutorials/project-based-learning  Why it's awesome:  Learn by building real projects in React, Vue, Go, ML, DevOps, and more. Structured tutorials that go beyond theory. ✅ Best For: Learners who hate theory  🚀 Hackathon-Ready Projects + Resume-Ready Work

1️⃣6️⃣ Project-Based Learning 🔨 📌 https://github.com/practical-tutorials/project-based-learning A collection of hands-on projects to improve your coding skills.

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🔗 Website: https://gittech.site/github/item/42650788... 📂 GitHub Repository: https://github.com/practical-tutorials/project-based-learning 📅 Published On: Thu, 09 Jan 2025 23:27:04 GMT

Link: https://github.com/practical-tutorials/project-based-learning

Nodejs practical tutorials

Project-Based Learning Programming Tutorials

9. Practical-tutorials/project-based-learning - This repository provides links to project-based tutorials for various programming languages, with a focus on Python. It's a great way to gain practical experience and build your developer portfolio. https://github.com/practical-tutorials/project-based-learning

Exercism is a code practice + mentoring platform in 74 languages. Why it can work: although it is not exclusively focused on groups of five, its mentoring and peer review model allows forming mini-circles where participants give each other mutual feedback. Limitation: it is not originally intended as a "venting circle" (My favorite), but more technical-practical.

Keep practicing, keep coding, and most importantly—have fun with it! If you enjoyed this exercise, explore more challenges on exercism to continue building your Go skills. As always, you can find the complete code in my GitHub repo: https://github.com/RubenOAlvarado/algorithms

🔗 exercism.org

The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by OpenAI, LinkUp, LlamaIndex, Qdrant, FastAPI and Streamlit. The building of this project was aimed at providing a reproducible and adaptable agent, that people can therefore customize based on their needs, and it was composed of three phases:

This is where sources like freeCodeCamp or Scrimba absolutely shine. With Odin, you read an article and may follow along with examples. But it’s unlikely you develop the muscle memory to implement the concepts on your own. Odin does offer some in-house exercises and often assigns external ones too. Still, I believe it’s not enough. You don’t lift weight only 5 times and say I’ve got this! You keep lifting until that muscle grows and continue lifting to keep it in shape. Similarly, you need to grow your mental muscles (brain neurons?) by doing many, many exercises. So you might want to augment your learning with other sources like Exercism or fCC.

If I get the time I would very much like to share my notes on adopting the various languages and perhaps even my solutions to some of the exercises. I have some reservations to doing the latter, since it does spoil the fun of solving the exercises for you. I have made some basic tooling which could be of interest/inspiration to you if you are in on Exercism.

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