Python Project Setup: Packaging, Dependencies, and Testing

Moving from simple scripts to complex, shareable applications requires a solid project structure. This course introduces you to the core practices needed to manage dependencies and ensure code reliability. By the end of this course, you will understand how to set up a professional Python project, manage its dependencies using modern standards, and implement foundational testing strategies. You will be able to create installable packages ready for deployment or distribution. What you'll learn: * Understand the fundamental role of virtual environments in isolating project dependencies. * Practice organizing source code into modules and packages for easy distribution and installation. * Configure modern Python project metadata and dependencies using `pyproject.toml`. * Apply basic unit testing techniques using the `pytest` framework to verify code functionality. * Learn how to structure tests alongside your source code for maintainability and scalability. The course begins with foundational concepts of Python environments and package structure. We then move into practical implementation of dependency management and configuration before dedicating a section to writing and running tests with `pytest`. This course is designed for beginner Python developers who are ready to build their first structured, multi-file projects. No prior experience with packaging, testing, or advanced tooling is required. Start building clean, reliable, and professionally structured Python applications today.