Now that the six core sections are live, we’re lining up the next wave of coverage. These areas are already outlined in the internal publishing calendar and will roll out as soon as they’re production-ready:

• Packaging & Distribution: reusable guides for pip, pyproject.toml, Poetry, versioning, and release automation.
• Testing & Debugging: pytest-first workflows, fixtures, mocking playbooks, and pdb/logging deep dives.
• Performance Engineering: profiling, memory discipline, caching strategies, and native acceleration.
• Projects & Cheat Sheets: hands-on builds plus takeaway references for each theme so you can revise faster.
• AI & ML: practical tutorials for integrating modern APIs, orchestration patterns, and shipping LLM-powered features responsibly.

We’ll publish detailed launch notes as each section goes live. Subscribe via RSS or check the blog every Friday to stay in sync with the roadmap.

The publishing engine is now running! 🎉 Over the past few weeks we focused on the six sections you’ll visit the most, and they are ready for you today:

• Fundamentals: Kick off with the main tutorial and work through data types, control flow, and functions.
• OOP Essentials: Model real systems with classes, dataclasses, and dunder methods.
• Errors & Debugging: Master try/except patterns and common fixes.
• Standard Library Skills: Datetime, pathlib, argparse, and more.
• Advanced Patterns: Iterators, generators, decorators, and context managers.
• Concurrency: Understand the GIL, asyncio, and when to reach for threads or processes.

Each cluster has detailed roadmaps, Hero CTAs, and internal cross-links so you always know what to study next. If you spot gaps or have requests, reply to this post—we’re shipping new lessons every weekday.