A collection of resources for understanding and applying lightweight agile practices to your scientific project
This project is maintained by betterscientificsoftware
This checklist was created to help a student transition into a new project using the programming language Julia. Simple checklists like this one can be used to capture important guidance and enable a tangible measure of progress toward a goal.
The text below can be copied and pasted into a new GitHub issue in your issues-only repository (note that text may be chopped at the right but will be copied). The - [ ] notation will create a checklist item in the issue, which can be used to track progress.
- [ ] setup Jupyter and julia
- [ ] finish working through https://en.wikibooks.org/wiki/Introducing_Julia
- [ ] implement sparse matvec in julia as practice
- [ ] implement conjugate gradient in julia as practice
- [ ] learn inheritance and related
- [ ] build macros for simplifying inheritance