01 — Subject

Software development

Project structure, packaging, deployment, and the disciplines that keep a large codebase tractable.

Twenty years of systems engineering distilled into the parts that transfer: how to structure a project, how to pin what it depends on, how to hand it to someone else, and how to keep a very large codebase from collapsing under its own weight.

On Collegica

Move Your Thesis from Word to Plain Text (فارسی) — for researchers outside STEM with chapters in Word: bring them into Quarto with their Zotero citations, and get one Word file back in the university’s template
One Repository, Three Agents — setting up git and GitHub for a project, then Antigravity, Claude Code and ChatGPT (Codex) on the same repository: what each installs, reads and isolates, and what happened when all three were asked the same question here

Python is a track of its own: recreating an environment, building something installable, and making work that still runs in five years. Four pieces, and a worked example you can clone.

Python for Reproducible Research — four per cent of published notebooks reproduce; getting from one that works on your machine to a repository someone else can run
Environments Are Not Packages — why pixi and Poetry are not competing tools, and what a lockfile can and cannot buy you
Publish Your First Python Package — an introduction to Poetry, from poetry new to PyPI, with the video
Top Five Books for Learning Python — where to start, with the video
How a Small Team Can Develop Complex Systems — MBSE, reproducibility, and TDD, with the video

Software development

On Collegica

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