Browse by Subject
Each subject is a roadmap of topics, running from the fundamentals to the parts that only make sense once the basics are solid.
Five subjects and growing · Free to read
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Learn · Reference · Practice
Gleipnix Academy is a free, openly licensed library of structured learning material — mathematics, computer science, data, infrastructure, and engineering. Each subject is a roadmap of topics, and every topic that is written is written to be read carefully rather than skimmed.
What Gleipnix Academy is
Everything here is free to read and licensed CC BY-SA 4.0 — quote it, teach from it, translate it, with credit. It is organised so you can start at the beginning of a subject and keep going, or jump straight to the topic you need mid-task.
Each subject is a roadmap of topics, running from the fundamentals to the parts that only make sense once the basics are solid.
Five subjects and growing · Free to read
Material comes from working experience rather than a syllabus — the commands, configurations, and reasoning that hold up outside a classroom.
Reference-first · No sign-up wall
Long-form explanations with worked examples, definitions, and the caveats that usually get left out because they are awkward.
Worked examples · Honest caveats
Questions, corrections and topic requests are handled in the open. Material improves when a reader pushes back on it.
Discord community · Open to all
The Library
Mathematics, computer science, data, infrastructure, and engineering. Topics that are written can be read now; the rest are shown honestly as roadmaps still being filled in.
From counting to topology — arithmetic, algebra, geometry, calculus, and the higher mathematics that follows. Written with worked examples, not definitions alone.
Programming, data structures, algorithms, operating systems, and the theory of what machines can and cannot decide.
The relational model, SQL, schema design, query performance, pipelines, and the reporting layer people actually trust.
Providers, Linux servers, DNS, automation, access control, and the operational work that keeps systems reachable and recoverable.
The physical layer: applied physics, electronics, signals, embedded systems, and the sensors that turn the world into data.