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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.
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