Calculus
Change, accumulation, and what happens when we look a little closer.
0 notesA mathematical notebook
Notes on calculus, linear algebra, probability, and the pleasure of finally seeing why.
01
Different doors into the same habit of asking why.
Change, accumulation, and what happens when we look a little closer.
0 notesSpaces, maps, and the geometry hiding inside a matrix.
0 notesReasoning carefully about uncertainty, data, and the stories they suggest.
2 notesProofs, counting, graphs: small building blocks with surprisingly long consequences.
0 notes02
Courses and books to think alongside. One note can belong to several journeys.
A route through linear algebra, connecting calculation with the spaces it describes.
A personal reading routeAn abstract companion: start with vector spaces and ask what linear maps really preserve.
A personal reading routeBuild a geometric picture, then return to the symbols with something to recognise.
A personal reading routeThe mathematical foundations behind computing: proof, discrete structure, and probability.
A personal reading route03
The R section of Blitzstein and Hwang’s second chapter, rebuilt in Python in the style of CS61A: predicates as values, a frequency that estimates P(A|B), and a Monty Hall game split into pure logic and input.
The R section of Blitzstein and Hwang’s first chapter, rebuilt in Python in the style of CS61A: small named functions, doctests, and simulations passed around as values.
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Comparisons, predicates, the Monty Hall problem, and updating on evidence, in the CS61A style.
6 exercises · EnglishIndexing, recursion, and the matching and birthday problems, in the CS61A style.
6 exercises · English