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Explore the work

A growing collection of things I build, teach, and learn in public.

01

Projects

Selected systems, experiments, and open-source work.

 02

Writing

Technical notes and practical engineering guides.

 03

Tools

Small, focused utilities built to solve real problems.

 04

Courses

Structured material for learning programming by doing.

Knowledge base

Browse by topic

Long-form notes and reference material, organized by subject.

English

  • Algorithms and Data Structures: definitions of common algorithms (sorting, searching, graph) and data structures (lists, trees, hashes) with code examples.
  • Numerical Methods: algorithms for root finding, integration, differential equations, with step-by-step implementations.
  • Statistics Notes: explanations of probability distributions, hypothesis tests, regression techniques, illustrated by sample datasets.
  • Stanford Machine Learning: organized lecture notes covering linear/logistic regression, neural networks, support vector machines, with sample code.
  • Numpy Tutorials: examples of array creation, indexing, broadcasting, linear algebra routines and performance tips.
  • Parallel and Concurrent Programming: discussion of threads, processes, synchronization (mutexes, semaphores), and example programs.
  • Frontend Notes: notes on DOM manipulation, CSS layouts, event handling and basic performance debugging.
  • Backend Engineers Guide: API design, networking, server tech, databases, caching, data processing, security, deployment and distributed systems.
  • Standard of Iron: modern RTS documentation with architecture decisions and tradeoffs.
  • Database Notes: SQL examples for table design, joins, indexing, transactions, plus tips for MySQL/PostgreSQL.
  • Git Notes: common commands (clone, commit, branch, merge), branching strategies and conflict resolution examples.
  • Linux Notes: shell commands, file permissions, package management and basic scripting examples.
  • VTK Examples: code snippets for 3D rendering, mesh handling, volume visualization and scene setup.

Polish

  • Kurs Podstaw Pythona: omówienie składni, typów danych, instrukcji sterujących, funkcji i podstawowych bibliotek z przykładami.
  • Od C do C++: porównanie składni C i C++, przykłady obiektowości, szablonów i użycia standardowej biblioteki STL.

Watch

Latest video

Continue learning Watch the full Algorithms & Data Structures course Python walkthroughs for interview-style problems, from arrays to graphs and dynamic programming.

Experiment

The shape of a magnetic field

Explore a toroidal coil and the charged particles moving through it.

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