- plot of objective function
- plot of gradient
- click on fork top right on this window. After the fork is created
- in your local julia session, you need to do
] dev https://github.com/YOUR_GITHUB_USERNAME/HWunconstrained.jl.git
- next, go to the newly created directory to instantiate the package:
cd(joinpath(DEPOT_PATH[1],"dev","HWunconstrained")) # go to package location ] activate . ] instantiate
- Now you can go back to the main environment and start editing the code in your text editor
] activate # no args goes back to main using HWunconstrained # precompiles makeData() # errors: function is incomplete! go and complete it in your editor!
- When you add a unit test in
/test/runtest.jl
, you can try it out by doing# if in the package directory: ] activate . ] test # from any other location ] test HWunconstrained
- To submit:
cd ~/.julia/dev/HWunconstrained git add . # adds everything. edit if that's not what you want git commit -m 'my homework' git push
Please observe that this repo is part of the Sciences Po CompEcon Organisation and therefore subject to the license detailed at the bottom of The Syllabus repo.