The C++ REST SDK (cpprestsdk) is a cross-platform, asynchronous C++ library for building cloud-based client-server applications. It provides a comprehensive set of APIs for HTTP client and server communication, JSON parsing and serialization, URI manipulation, WebSocket client support, OAuth 1.0 and 2.0 authentication, and asynchronous stream I/O. The library is built on a custom task-based concurrency model (PPLX) that abstracts platform-specific threading and synchronization, enabling portable async operations across Windows, Linux, macOS, iOS, and Android. The architecture is modular: HTTP client and server implementations use a pipeline stage pattern for middleware (e.g., compression, authentication), and the stream buffer abstraction decouples data sources from I/O operations. The codebase includes extensive functional tests using a bundled UnitTest++ framework, along with sample applications demonstrating real-world usage (BlackJack game, OAuth flows, file search). However, the repository is officially archived and no longer maintained; it exhibits significant technical drift, including deprecated APIs, platform-specific conditional compilation, and dependencies on older library versions (Boost, OpenSSL). Despite this, many components—such as the PPLX task system, URI builder, JSON value, and stream buffers—are well-crafted and could be extracted for reuse in new projects with minimal adaptation.
This repository is a curated collection of code implementations, cheat sheets, and study resources for software engineering (SDE) interview preparation. It contains hundreds of independently written C++, Python, and C files covering fundamental data structures (arrays, linked lists, stacks, queues, trees, graphs) and algorithms (sorting, searching, dynamic programming, greedy, backtracking, string algorithms, etc.). The repo also includes problem sheets from popular SDE preparation resources (Striver's SDE Sheet, Love Babbar DSA Sheet), competitive programming patterns, and notes on core subjects like DBMS, OS, and CN. It is primarily a reference/learning resource rather than a cohesive application or data pipeline; the code is not packaged as a library and lacks tests, build systems, or dependency management. Many files are standalone textbook-style implementations. While the breadth is impressive, the depth and consistency of quality vary significantly across contributions, and the repository appears to be in a stale maintenance state with no recent meaningful code updates.
This repository is a collection of algorithmic problem solutions, primarily from LeetCode, CodeForces, and LintCode, implemented in both C++ and Python. Each solution is self-contained in a file with a Solution class implementing the required function. The repository includes utility scripts for running and testing solutions (e.g., problem.sh, python.sh, cpp.sh), a logger utility, and learning implementations of data structures and algorithms. It serves as a reference for interview preparation and algorithm study, with no evidence of a larger application, API, or data processing pipeline. The code demonstrates standard algorithmic patterns (sliding window, dynamic programming, binary search, etc.) but lacks extensive engineering infrastructure for production use.