<h2>Overview</h2>
The Netherlands eScience Center Python Template is an innovative solution designed to streamline the development of Python packages, particularly for research software. This template emphasizes best practices from the start, allowing developers to set up their projects efficiently, regardless of their experience level. With customizable user profiles and a range of integrated features, the template caters to both newcomers and seasoned developers looking to maintain best practices in their software development.
Using this template can dramatically reduce the time spent on initial configurations and help ensure that vital components are included in your projects right from the get-go. Whether you're creating a new package, updating an existing one, or incorporating the template into pre-existing code, this resource provides a user-friendly approach to software development in Python.
<h2>Features</h2>
<ul>
<li>User Profiles: Choose from minimum, recommended, or fully customizable profiles to cater to varying levels of development needs.</li>
<li>Boilerplate Unit Tests and Documentation: Get started with essential testing and documentation structures to ensure quality from the outset.</li>
<li>Python Static Setup Configuration: Simplifies package setup with standard configuration that follows best practices.</li>
<li>Continuous Integration: Seamlessly integrate with GitHub actions for building, testing, and code quality checks.</li>
<li>Comprehensive Documentation: Automatically generated README files and setup documents clarify usage for both users and developers.</li>
<li>Code Style Checking with Ruff: Ensure code consistency and adherence to style guidelines automatically.</li>
<li>Continuous Quality Reporting: Utilize tools like Sonarcloud for ongoing code quality and coverage insights.</li>
<li>Citation and Badging Features: Built-in instructions for making packages citable, along with fair-software badges to communicate best practices.</li>
</ul>
This template is not just a tool; it's a comprehensive framework that enhances the development process for researchers and software engineers alike.

Nlesc

Python Template