A collection of Jupyter notebooks for geospatial applications
If you're looking to dive into geospatial applications leveraging Jupyter notebooks, this collection offers a robust starting point. It provides a streamlined template that is easy to customize and implement, making it ideal for developers and analysts alike. Whether you’re a beginner or an experienced user, these notebooks serve as a practical toolset for geospatial data visualization and analysis.
Setting up your own repository using this template is straightforward. You can create a personal repository, customize it as per your needs, and quickly get to work on your geospatial projects. With a few simple steps, you can have your own ready-to-use platform that can help you take full advantage of geospatial data.
Easy Repository Setup: A simple guide is provided to help you create your own repository from the template, ensuring quick and efficient setup.
Customizable Code: Modify dependencies and settings in requirements.txt and mkdocs.yml to tailor the environment to your specific project needs.
Organized Structure: The template encourages the creation of folders and files, promoting a neat organizational structure for your notebooks and documentation.
Flexible Documentation: Easily manage and update the issue template and documentation through .github/ISSUE_TEMPLATE/config.yml.
GitHub Pages Integration: Effortlessly enable GitHub Pages to host your project documentation and share your progress with others.
Version Control Support: Utilize Git for version control to track changes, collaborate, and improve your projects over time.
User-Friendly Interface: The combination of Jupyter notebooks and GitHub Pages results in a visually appealing and accessible way to present your work.
MkDocs is a fast, simple and downright gorgeous static site generator that's geared towards building project documentation. Documentation source files are written in Markdown, and configured with a single YAML configuration file.