Python Best Practices
Learn practical Python best practices for readable, testable, maintainable code—from naming and functions to dependencies and type hints.
9/5/2025
Danrley Pereira
Leader of the Software Craftsmanship Brasília (SCCB) community. :-P Software Craftsman with extensive experience building robust and resilient systems, working as a consultant for international companies. Strong background in cloud computing (AWS, GCP, and Azure) and a long-time GNU/Linux systems enthusiast and administrator. ┐( ˘_˘)┌ Dedicated mentor who has guided 8+ mentees (“padawans”) over the past five years — five of whom now work in mid-level engineering roles.<0.o>
Introduction to Python
Learn the basics of Python, from your first program to pip, venv, automation, data analysis, and web development.
2/9/2026
JavaScript: From the Browser to the Whole Server
Learn how JavaScript evolved from a browser language into a versatile tool for servers, apps, automation, and connected devices.
9/21/2025
JavaScript Without Shooting Yourself in the Foot
Practical JavaScript habits to avoid production bugs: const and let, strict equality, async/await, ESM, immutability, and this.
4/30/2026
.NET Done Right
Practical .NET practices for dependency injection, async code, resource management, configuration, and structured logging.
4/3/2026
React Best Practices
Learn practical React best practices for small components, well-placed state, effective effects, derived data, and stable list keys.
6/6/2026
“It Depends” Is Also an Answer
Technical decisions rarely have one right answer. Learn how context, trade-offs, and reversibility lead to better choices.
5/30/2026
Prompting Best Practices
Learn practical prompting best practices: provide context, use examples, specify formats, iterate on results, and account for model limitations.
7/25/2026
Error-Proof Vibe Coding: Agile, Sustainable Prototyping with LLMs
Learn how to use LLMs for fast, sustainable prototyping without losing control, quality, or maintainability.
10/30/2025
Prompt engineering: how to communicate better with LLMs without relying on trial and error
Learn how prompt engineering makes LLM interactions clearer, more useful, and easier to validate—without relying on trial and error.
2/11/2026
Introduction to Machine Learning
Learn the fundamentals of Machine Learning, from supervised learning and features to overfitting and when a simple if/else is better.
6/1/2026
Machine Learning Best Practices
Practical machine learning best practices for honest data, reproducible experiments, simple models, and reliable production systems.
1/12/2026