This guide explains use a src/ layout for a package through a focused Python example. You will learn the behavior to expect, why it matters in a real program, and how to recognize the common mistakes before applying it in your own project.
What You Will Learn
The src/ layout stores importable package code under a dedicated src directory instead of the repository root. It helps tests detect accidental imports from the working tree.
When and Why to Use It
The following example focuses on a practical use of Use a src/ Layout for a Package.
Step-by-Step Example
from pathlib import PurePosixPath
package_module = PurePosixPath("src/shop/pricing.py")
test_module = PurePosixPath("tests/test_pricing.py")
print(package_module)
print(test_module)
Understanding the Example
The two paths illustrate the separation of package code and tests. Correct packaging configuration is needed for imports and editable installs.
Expected Output
src/shop/pricing.py
tests/test_pricing.py
Important Behavior and Edge Cases
Creating a src folder alone does not make code importable from every context; configure the build tool and install the package in a venv.
Try It Yourself
Design a minimal src/shop package and a tests directory.
Run environment-management commands in your terminal, not in a Python source file. Use the executable associated with the selected project interpreter and verify the environment before installing dependencies.
Common Beginner Mistakes
- Creating a src folder alone does not make code importable from every context; configure the build tool and install the package in a venv.
- Running installation commands against a different Python interpreter than the one used for the project.
- Skipping the practice step and assuming the example covers every input. Test at least one normal case and one edge case relevant to this topic.
Key Takeaways
- The src/ layout stores importable package code under a dedicated src directory instead of the repository root.
- The two paths illustrate the separation of package code and tests.
- Apply the technique deliberately, checking its documented input requirements and failure behavior before integrating it into a larger project.