Provide a concise and informative title for your code or analysis that accurately reflects its content.
In this section, provide an overview of your code and describe the project in which the code was developed. Highlight the purpose, scope, and potential uses of your code. Also, consider including links to relevant publications or resources that provide additional context.
Include any necessary prerequisites for using your code, such as
required datasets, specific software, dependencies or hardware
requirements. For example: This project requires Python 3.8 or later
and install the dependencies with pip install -r requirements.txt.
Describe the organization of your package, including the contents of each folder and the files it contains. Use tables or file trees to make it easy for users to understand your folder structure. Describe where results and figures are stored if not added to the project folder.
Describe the file format(s) used in your project and the software required to open them.
Provide clear and concise instructions on how to use your code. Include examples of how to execute the code and describe the expected output. If your work consists of multiple execution steps, provide detailed step-by-step instructions.
With an open-source license, you grant permission to use your work. The most common open-source licenses are MIT, GPL3, and Apache 2.0. Choose a license that aligns with your goals for your code.
For example:
This work is licensed under the MIT License.
Provide clear instructions on how to cite your code or related publications in a research paper or publication. You can include the citation in the README file or create a separate CITATION.cff file.
Include contact information for questions or comments about your code. You can also provide clear instructions for how users can provide feedback, contribute, or suggest improvements to your work.