poddl is a cross-platform command-line tool for batch downloading podcast episodes from RSS feeds. It fetches the RSS XML via libcurl, parses it using regex to extract episode titles, URLs, and publication dates, then downloads media files to a specified output directory. The tool supports a variety of options including downloading individual episodes, ranges, newest-first ordering, filename formatting with episode numbers and dates, whitespace handling, and early termination on existing files. The codebase is a monolithic C++11 application split into several classes: Client (HTTP), Parser (RSS parsing), Helper (utilities), FileSystem (cross-platform file operations), and a standalone HtmlCoder for decoding HTML entities. The architecture is clean and modular, with clear separation of concerns, though the use of regex for XML parsing is a known fragility. The repository includes precompiled binaries for Windows and Linux, and the build requires only g++ and libcurl. It is a straightforward, well-structured utility with no external runtime dependencies beyond libcurl.
This repository is a community-maintained knowledge hub for students of the University of London BSc Computer Science programme, providing curated resources, module guides, FAQs, and automation scripts. Although classified as an application due to the presence of a Python script and CI/CD, its primary value is as a documentation and reference repository. The codebase is minimal, consisting of a single utility script (`update_week.py`) with a test suite and a GitHub Actions workflow that weekly updates the current academic week in the README. The bulk of the content is extensive markdown files covering module specifics, kinks (bugs), study tips, software recommendations, and Slack onboarding. The project demonstrates strong community organization, including issue templates, contribution guidelines, and all-contributors integration, but is not a traditional software application or data pipeline.