Reference of all computer science fundamentals with examples.
specific areas: - fundamentals like: boolean algebra, predicates, algorithms, data-structures, object-orientated, functional, architecture, networking, SOLID, refactoring, test-driven, behavior-driven, project-management - how libraries, frameworks, APIs, SDKs and application(s) are built: focus on how the architecture and networking and programming language type (statically types vs dynamically types, garbage collection, level; low, high) differ between these types of software. - language specifics c++, Python
start from the top, be minmalistic, clean and fast, this should not take long.
How-to-dos in : (As these develop, they can become articles and then be moved off into the posts section, so then we have work flow of notes become posts) CUDA, scientific computing, high-performance computing, embedded development, robotics (software eng perspective), simulations,