Including Data Files in Python Packages

Do you need to distribute Python projects that include essential data files, configuration settings, or binary assets alongside your code? Understanding how to package these non-code resources is crucial for creating robust and distributable Python libraries and applications. This course guides you through the process of bundling various file types with your Python packages, ensuring that your project's dependencies are correctly included and accessible when users install it. You will learn to manage package manifests and configure your setup to include data files, making your projects more complete and user-friendly. What you'll learn: - Understand the purpose of including non-code files in Python packages. - Configure your project's setup to include data files like CSV, JSON, and configuration files. - Learn how to manage package data using `MANIFEST.in` and `setup.py` or `pyproject.toml`. - Practice including binary files and other static assets. - Explore modern packaging practices for ensuring all necessary components are distributed. - Apply learned concepts to create self-contained, distributable Python packages. We cover the fundamental concepts and practical steps required to ensure all necessary components are bundled correctly. This course is designed for beginners with basic Python knowledge and no prior packaging experience. Start packaging your Python projects with all their essential assets today.