The CS theory behind the production code you write.https://cs.bradpenney.io/ Brad Penneyen Sun, 14 Jun 2026 01:37:21 -0000 Sun, 14 Jun 2026 01:37:21 -0000 1440 MkDocs RSS plugin - v1.19.0 https://cs.bradpenney.io/images/exploring_computer_science.png https://cs.bradpenney.io/ The CS theory behind the production code you write. Big-O, data structures, algorithms, and computational theory for back-end and platform engineers. https://cs.bradpenney.io/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/ Understand what compilers and interpreters actually do — the CS theory behind how source code becomes running programs, and why it matters for how you write and debug code. https://cs.bradpenney.io/efficiency/compilers_vs_interpreters/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/efficiency/compilers_vs_interpreters/ Master the mental toolkit of computer science: Decomposition, Pattern Recognition, Abstraction, and Algorithm Design. https://cs.bradpenney.io/efficiency/computational_thinking/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/efficiency/computational_thinking/ Understanding Finite State Machines (FSMs), the elegant model behind traffic lights, game AI, and compilers. https://cs.bradpenney.io/efficiency/finite_state_machines/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/efficiency/finite_state_machines/ From raw text to meaning: How parsers use grammars to understand code and data. https://cs.bradpenney.io/efficiency/how_parsers_work/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/efficiency/how_parsers_work/ Understand how CS theory defines a list recursively using cons and null, why recursive list operations are natural, and what Python lists, Clojure, and functional languages have in common. https://cs.bradpenney.io/efficiency/lists_recursive_structure/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/efficiency/lists_recursive_structure/ How regex engines compile patterns to automata, why backtracking causes production outages, and what regular expressions fundamentally cannot match. https://cs.bradpenney.io/efficiency/regular_expressions/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/efficiency/regular_expressions/ Understand Big-O notation for software engineers. Learn how to identify O(n²), O(n log n), O(n) complexities and optimize your code for production. https://cs.bradpenney.io/essentials/big_o_notation/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/essentials/big_o_notation/ Understand the CS theory behind recursive problem solving — base cases, recursive steps, the substitution model, and why recursive algorithms are the natural fit for self-similar problems. https://cs.bradpenney.io/essentials/recursion/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/essentials/recursion/ The complete practical reference for writing and reading regex in production code — character classes, quantifiers, groups, flags, and common pitfalls. https://cs.bradpenney.io/essentials/regular_expressions/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/essentials/regular_expressions/ Understand the CS theory behind trees — the data structure powering your file system, database indexes, DOM, compiler ASTs, and Git history. https://cs.bradpenney.io/essentials/trees_basics/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/essentials/trees_basics/ Understand type systems from a CS theory perspective — what types really are, how type notation works, and why every strongly-typed language enforces the same rules. https://cs.bradpenney.io/essentials/type_systems_basics/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/essentials/type_systems_basics/ Computer science isn't about computers. It's the systematic study of what can be computed, how efficiently, and how to solve problems algorithmically. https://cs.bradpenney.io/essentials/what_is_computer_science/ Sun, 14 Jun 2026 01:36:35 -0300 Exploring Computer Sciencehttps://cs.bradpenney.io/essentials/what_is_computer_science/