Jupyter kernel for SpringRTS
SpringRTS IPython kernel for Jupyter notebooks
Run Spring code remotely via Jupyter notebooks. 4X: explore, experiment, extend and execute.
For usage docs see %help and %lsmagic inside the notebook.
Obtain a writable Python environment (virtualenv is suggested).
Install with pip: ` pip install spring-kernel `
Install the kernel (you probably want to include –user): ` jupyter spring_kernel install --user `
Install the widget and gadget to your Spring project. Copy spring-kernel to your project’s libs folder, and then copy the api_spring_kernel_load.lua to the LuaUI/widgets and LuaRules/gadgets folders.
Start your Spring project, and then start the jupyter notebook with: ` jupyter notebook `
You can then create SpringRTS kernel notebooks in the browser.