Skip to main content

Jupyter kernel for SpringRTS

Project description

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.

Install

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.

Running

Start your Spring project, and then start the jupyter notebook with: ` jupyter notebook `

You can then create SpringRTS kernel notebooks in the browser.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
spring_kernel-1.0.3-py2.py3-none-any.whl (64.2 kB) Copy SHA256 hash SHA256 Wheel py2.py3

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page