Archive
Structured guides and deep dives across Python, AI/ML, automation, and modern infrastructure. From first principles to production.
Python Fundamentals
Automate your entire Python workflow with GitHub Actions. Build CI pipelines that test across Python versions, lint with ruff, type-check with mypy, and securely publish to PyPI with trusted publishing.
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AI & Machine Learning
You've deployed your LLM application to production. Traffic is growing.
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Claude Code
Ever joined a team where everyone uses different names for the same thing? Marketing calls it a "workspace," the backend calls it an "organization," and the database schema calls it orgcontext.
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Python Fundamentals
Containerize your Python applications with Docker for reproducible deployments everywhere. Learn Dockerfiles, multi-stage builds, Docker Compose for multi-service stacks, and production best practices.
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AI & Machine Learning
You've just spent three months fine-tuning your language model. The metrics look great in isolation.
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Python Fundamentals
Automate code quality with ruff, the Rust-powered linter that replaces flake8, black, and isort. Set up pre-commit hooks, configure CI pipelines, and make clean code the path of least resistance.
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AI & Machine Learning
Your AI infrastructure is bleeding money. You're probably not thinking about it in the right way.
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Claude Code
You know that sinking feeling when you open a repository and the README is hopelessly outdated? Or when API documentation doesn't match the actual function signatures? We've all been there.
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Python Fundamentals
Replace print() with production-grade logging and type-safe configuration. Learn dictConfig, structured JSON logging, pydantic-settings for environment variables, and the secrets management patterns that keep your application secure.
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MLOps & Infrastructure
You're managing multiple LLM providers. OpenAI for general tasks, Anthropic for long contexts, vLLM for self-hosted inference.
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