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Study Material

working

Recap notes in computational physics, aerospace, meteorology and machine learning.

What this is

A recap surface, not a textbook.

Every page here is written for a reader who already has the skills and needs to reload a topic quickly — the equations, the mental model, and above all the failure modes, without the derivation chain that a textbook already owns. If you are meeting a topic for the first time, the sources at the foot of each page are the better starting point.

Some sections are stable and written once: Foundations, Fluids, Aerospace, Astrophysics. Others are active growth areas that expand continuously: Meteorology, Machine Learning, Deep Learning, Computer Vision and Scientific ML.

Where to start

  • Skills Map

    The ten competency pillars this site is organized around, with an honest self-assessment. The best entry point if you are browsing rather than looking something up.

  • How to use this site

    Page conventions, the note template, status badges and the tag taxonomy.

  • Course archive

    A catalog of the external coursework archive — roughly 11 GB of notes, problem sets and lecture material that lives on separate storage and is indexed, not published.

  • Search

    Press /. Faster than the navigation for anything you can already name.

Reading a page

Pages follow one shape, so you can skim to the part you need:

Section What it gives you
In one minute The irreducible core. Enough to hold a conversation.
Key results Equations, with symbols defined and final forms boxed.
Mental model The physical or geometric picture behind the algebra.
Numerics / practice Discretization, stability limits, typical resolutions.
Failure modes What goes wrong, the symptom, and the cause.
Worked example A notebook or a short snippet that runs.
Connections Sibling topics, and where this shows up in real work.
Sources Archive pointers, books, papers, lectures.

The failure modes block is the one that earns the site. Equations are recoverable from any textbook in ten minutes; the knowledge that a scheme goes unstable at a particular aspect ratio, or that a dataset's fill values are silently valid-looking, is not written down anywhere and is the first thing to decay from memory.

Status badges

Pages are labelled honestly rather than left blank:

seed a stub — the topic is claimed, not written · working usable, still being filled in · solid complete enough to rely on

As of the last update the site is 31 solid, 47 working, 7 seed. The recap sections — foundations, fluids, aerospace, astrophysics — are written; the growth areas are marked working because they will keep expanding, not because they are unfinished; the seed pages are mostly toolchains, which are deliberately waiting for first-hand entries.