This repository contains a collection of codespaces which can be used to demonstrate the feature at various levels, from a default codespace (i.e., with no configuration specified) to a complex one with full support for developing machine learning applications using Python.
Each of the following branches can be used to showcase a different type of codespace:
- default: No codespace configuration. This can be used to illustrate what a barebones codespace looks like and how it can be used to bootstrap more complex codespaces or to simply create and modify files using a more powerful tool than the default GitHub editor.
- simple: Basic, manually-crafted codespace which can be used to develop a simple Python application.
- complex: Complex codespace containing a large collection of libraries, modules and tools which together form an environment where a machine learning application can be developed with little to no initial setup effort needed.
Start with the default branch,
then proceed to simple, then
finally complex. Each branch
will contain a README.md with further instructions.
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Check out GitHub's Codespaces feature page for more information about the endless possibilities of a instant development environmen in the cloud.
Want to get create your own environment? Check out our docs to get started.