Which means that the list does not pretend to contain all the resources available in the world. Do not add well-know software packages, basic tutorials, documentation, etc. Instead contribute with bizarre links about the topics, amazing blog posts and tutorials, new software, interesting people, fresh insights, this essential book you have red and whatever you consider awesome!
This is not a how-to start with... or a all the things you need to know about..., but a list of resources that you consider essential but people may not know.
Please ensure your pull request adheres to the following guidelines:
- Search previous suggestions before making a new one, as yours may be a duplicate.
- Make an individual pull request for each suggestion.
- Add the link:
- [Title](Link) - A short description ending with a period.- Keep descriptions concise.
- Add a section if needed.
- Add the section description.
- Add the section title to Table of Contents.
- Inside a section follow this scheme and this order:
- Software Tools
- Blog Posts
- Learning: MOOCs, PDFs, tutorials, books, papers...
- Notebooks: Jupyter Notebooks and other interactive programming formats.
- Datasets: avaliable data to download and analyse.
- Web Pages and Blogs: personal web pages of people writing about Scientific Computing, blogs about the list's topics...
- Communities: places were find more resources on the topic.
- Link additions should be added to the bottom of the relevant category.
- Check your spelling and grammar.
- Remove any trailing whitespace.
- The pull request and commit should have a useful title.
- The body of your commit message should contain a link to the repository.
- Please add a comment on why do you consider awesome your contribution to your pull request.
Thank you for your suggestions!