Python in 60 Minutes: From Zero to Useful
A fast, practical ramp-up with examples you’ll reuse in real scripts.
Programming posts
Posts in Programming.
Top 25 Python Errors (And the 1‑Line Fixes)
The mistakes everyone hits—explained in plain language with quick fixes.
Python Dataclasses: Cleaner Models With Less Boilerplate
Write readable, typed data models and avoid the classic class mess.
Make Python Faster: 12 Micro-Optimizations That Matter
Performance wins that are measurable—and when they’re NOT worth it.
Asyncio Explained With 3 Real Projects
Learn async by building a scraper, a websocket client, and a task queue.
Publish a Python Package the Right Way (pyproject.toml + CI)
A modern packaging workflow that won’t break for your users.
Build a Beautiful CLI Tool: Arguments, Colors, and TUI Basics
Turn scripts into tools people actually want to run daily.
Unit Tests That Don’t Suck: Patterns for Maintainable Tests
Write tests you’ll keep instead of deleting after week two.
Debugging Like a Pro: A Checklist That Actually Works
A universal flow for isolating bugs fast (any language).
Big‑O Intuition: The Only Guide Most Devs Need
Complexity explained with visual thinking, not math pain.
Hash Tables, Heaps, and Tries: When to Use What
Pick the right structure quickly with practical examples.
TypeScript Types You’ll Actually Use (Not the Flex Ones)
The 20% of TypeScript that gives 80% of safety and clarity.
Go for Backend Devs: Concurrency, Context, and Clean APIs
A hands-on guide to writing production-grade Go services.
Rust Ownership Without Tears: Mental Models That Click
Learn borrow rules through patterns, not memorization.
Java Streams: Write Clear Pipelines Without Overcomplicating
Streams that stay readable—and when loops are better.
Modern .NET: DI, Minimal APIs, and Practical Architecture
A current view of building clean services in C#.
Code Review Comments That Improve Code (Without Being Rude)
Templates and examples that raise quality and team trust.
How to Read Other People’s Code Fast
A repeatable method to understand unfamiliar codebases in hours, not weeks.