Code
Good coding practices are the habits and conventions that make software easier to read, maintain, and extend; they include writing clear, self‑documenting code, using consistent naming and formatting, structuring projects with modular, reusable components, and adding automated tests to catch regressions early. By embracing version control, continuous integration, and thorough documentation, developers reduce bugs, accelerate collaboration, and ensure that their code remains reliable and adaptable as requirements evolve.
eScience Center Python Template
The eScience Center Python template is a Cookiecutter‑based starter kit that lets researchers generate a fully‑featured, standards‑compliant Python package in seconds; it includes ready‑to‑use project scaffolding (license, CI configuration, testing framework, documentation with Sphinx, code‑formatting tools, and a pre‑filled pyproject.toml) so developers can focus on scientific code rather than boiler‑plate setup, and it follows the Netherlands eScience Center’s Software Development Guide to promote reproducibility and best practices from day one.