Data Structures and Algorithms

Data Structures & Algorithms to solidify language skills in Python and Java

Layout

• Core/Data-Structure/ — data structures implemented from scratch (array, stack, queue, ...).
• Core/Algorithms/Neetcode/<category>/<problem>/ — problems grouped by topic (e.g. 1-Arrays-Hashing, 2-Two-Pointers). The numeric prefix is a personal prerequisite ordering, not a difficulty or roadmap ranking — gaps are intentional. A few problems (GameOfLife, RemoveComments) sit outside any category because none fits yet.
• Core/Algorithms/PairProgramming/<problem>/ — larger system-design-style exercises (CircuitBreaker, CurrencyConverter, TokenManager), each a standalone Maven project.
• Core/Algorithms/coding-framework.md — the 6-step live-coding interview process used across these solutions.

Running things

Python solutions are standalone scripts — run directly with python3 <file>.py.

Java files under Neetcode/ are reference ports with no build file — they're meant to be opened in IntelliJ (or your editor of choice) and run/tested ad hoc; add JUnit5 as a project library if a *Test.java doesn't resolve.

Java projects under PairProgramming/ are real Maven modules — from the problem's folder, run mvn test.