Versioning and Release Management
Explore versioning and release management in Python applications. Understand semantic versioning, setting a single source of truth, maintaining changelogs, and automating releases with Git tags and CI/CD pipelines to ensure reliable updates.
We have built a working package, but it currently exists only on the local machine. In production environments, software evolves continuously. Developers fix bugs, add features, and sometimes introduce regressions. If updates are distributed manually as zip files, version tracking and deployment become difficult to manage. Users cannot determine whether an update is safe to install or whether it may introduce breaking changes in production. A clear versioning strategy is required to communicate stability while allowing ongoing development. Adopting Semantic Versioning and automated release pipelines provides a structured way to manage updates and communicate compatibility to users.
Step 1: Semantic versioning and the source of truth
Version numbers are not random; they are a communication tool. Python follows semantic versioning (SemVer), which uses the format MAJOR.MINOR.PATCH (e.g., 1.2.3).
MAJOR: Incremented for incompatible API changes. (e.g., renaming a function users rely on).MINOR: Incremented for adding functionality in a backwards-compatible manner.PATCH: ...