A first Python project should teach organization as well as syntax. Start by defining the outcome and creating a repository. Choose a supported Python version, create a virtual environment, and record dependencies. Use a simple structure that separates application code, tests, configuration, and documentation.
Add a README before the project becomes confusing. Explain how to install, run, test, and troubleshoot it. Keep secrets out of source control, use configuration values rather than hard-coded paths, and add logging where the program performs important work. Write one small test early so quality checks are part of the normal workflow.
As the project grows, add formatting, linting, continuous integration, and a release process. The exact 25 steps matter less than the habits they create: isolated environments, readable code, repeatable commands, and recoverable changes. A small, complete project is better practice than a large unfinished idea.