SQLAlchemy is a Python SQL toolkit and ORM library that gives developers flexibility for SQL database interactions. It includes SQLAlchemy Core, a SQL abstraction toolkit, and SQLAlchemy ORM, a higher-level abstraction tool. It supports multiple database backends and is available under the MIT License.
ArjanCodes (7 mentions) highlights SQLAlchemy as the Object-Relational Mapper (ORM) for database persistence in videos like "How to Tell If Your Code Is Actually Production-Ready" and mentions its usefulness for understanding database session management.
Most developers ship code that works locally but collapses under real-world pressure. By refactoring a simple API using high-precision decimals, structured service layers, and aggressive rate limiting, you can transform a fragile prototype into a resilient system ready for the rigors of production traffic.
Are your Python functions drowning in a sea of repeated arguments? Discover how the Context Object Pattern can clean up your codebase by grouping dependencies like loggers and database sessions into a single, manageable structure. Learn to balance convenience with clean design by applying this pattern to high-level orchestration without falling into the trap of tight coupling.
Most software projects collapse under their own weight because developers prioritize features over structural integrity. The secret to a truly scalable Python application lies in isolating business logic from the HTTP layer and centralizing cross-cutting concerns through disciplined dependency injection. By shifting to a service-oriented architecture and leveraging modern tools like uv and Docker, you can transform a fragile codebase into a robust, production-ready system that evolves as fast as your team.
Standard library dataclasses are often missing from large-scale production repositories despite being a beloved feature. As applications scale, the need for rigorous validation and library integration forces a shift toward Pydantic and SQLAlchemy. We examine why these native structures excel in prototyping but often yield to specialized frameworks in the final build.
Python 3.13 is finally making the Global Interpreter Lock optional, a move that promises to solve decades of multi-core performance issues. Yet, this liberation comes with a catch: early benchmarks show single-threaded tasks are actually slower without the lock, and the risk to ecosystem stability is immense.
Modern database management feels like a relic of the past when trapped in raw SQL strings. Why struggle with manual row mapping when you can transform database tables into living Python objects? Discover how to bridge the gap between relational data and object-oriented design using the industry's most powerful ORM.
Modern database management faces a fundamental tension between the raw power of SQL and the protective abstraction of Object-Relational Mapping. While raw queries offer unmatched flexibility, they expose systems to lethal injection attacks and architectural fragility. Selecting the wrong interface today creates a legacy of technical debt that mirrors the structural failures of ancient monuments.