Dynamic Programming
Showing 12 of 12 projects
Minimal, clean, and well-documented implementations of data structures and algorithms in Python 3.
An open-source flash card collection for algorithms, data structures, and system design interview preparation.
A C++ library that provides runtime type reflection, enabling introspection and modification of objects at runtime.
A collection of Ruby implementations for common algorithm problems, focused on technical interview preparation.
A Swift library for runtime introspection, enabling dynamic property access, type metadata inspection, and object construction.
A comprehensive collection of algorithm implementations in Go, based on the CLRS textbook.
A lightweight C++ library for polygon partitioning and triangulation with multiple algorithm implementations.
A Python utility that uses LLMs to dynamically implement methods and properties on objects at runtime.
A Swift library providing runtime reflection APIs for dynamic type construction and property manipulation.
A lightweight, super fast C/C++ and Python library for sequence alignment using edit (Levenshtein) distance.
A PhD-level course on computational economics covering Python, Julia, and economic modeling techniques.
Key-Value Coding (KVC) for native Swift classes and structs, enabling property access via subscripts.
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