Python Dataclasses vs Pydantic Models: When to Use Each
If you write Python and work with structured data, you’ve likely reached the point where you need to choose between...
Building REST APIs with Litestar (formerly Starlite)
If you’ve outgrown Flask and find FastAPI’s approach too function-centric for larger projects, Litestar deserves a serious look. Building REST...
Python Context Managers and the with Statement
Python context managers provide a clean and reliable way to manage resources. If you have ever written with open("file.txt") as...
Python Decorators: From Basics to Advanced Patterns
Python decorators are one of the most powerful features in the language. At first, python decorators look like just an...
Python Dependency Management: pip, Poetry, and uv
Python dependency management becomes critical as projects grow. While small scripts run fine with basic pip install, production systems require...
Python Type Hints and mypy for Better Code Quality
Python is dynamically typed by default. While that flexibility speeds up development, it also introduces hidden risks. As projects grow,...
SQLAlchemy Best Practices with PostgreSQL
Introduction SQLAlchemy is one of the most powerful ORM and database toolkits in the Python ecosystem. When paired with PostgreSQL,...
Building Microservices with Python and gRPC
Introduction Microservice architectures demand fast, reliable communication between services. Traditional REST APIs are simple and flexible, but they can become...
Data Analysis with Pandas for Backend Engineers
Introduction Backend engineers increasingly work with data-heavy systems, whether they support analytics pipelines, API-driven applications, internal dashboards, or large-scale ETL...