https://github.com/josverl/python_on_codespaces
https://github.com/josverl/python_on_codespaces
Last synced: 7 months ago
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- Host: GitHub
- URL: https://github.com/josverl/python_on_codespaces
- Owner: Josverl
- Created: 2024-11-05T15:15:45.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-11-05T16:22:38.000Z (11 months ago)
- Last Synced: 2025-03-28T17:09:32.718Z (7 months ago)
- Language: Python
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Description
This is a quick demo of the use of codespaces in GitHub for workshop purposes.
all participants need a GH account ( can be free version )
this will give them access to the codespace feature on **public** repos
- full and preconfigured VSCode , in browser or local
- CPython or conda possible based on the underlying base image
- Fast to starty ( Github hase a pool of preconfigured images, and very fast storage / network)
- You do need to take care to prevent secret sharing ( .gitignore, template .env files, etc)
- saving state will happen to codespaces, no branch or fork needed per se
- but if you want permanent changes can be done by creating a fork
- It is possible to create a deeplink to create a code-space
- https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=883788287&skip_quickstart=false
| Account Plan | Storage per Month | Core Hours per Month |
|------------------------------------|-------------------|----------------------|
| GitHub Free for personal accounts | 15 GB-month | 120 |
so with a 2-core machine you can run 60 hours of codespaces per month for free
with a 4 core machine you can run 30 hour of codespaces per month for free
https://docs.github.com/en/billing/managing-billing-for-your-products/managing-billing-for-github-codespaces/about-billing-for-github-codespaces
# Also see
This repository contains a collection of codespaces which can be used to demonstrate the
[feature](https://github.com/features/codespaces) 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](https://github.com/dassencio/codespaces-demo-python/tree/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](https://github.com/dassencio/codespaces-demo-python/tree/simple): Basic, manually-crafted
codespace which can be used to develop a simple Python application.
- [complex](https://github.com/dassencio/codespaces-demo-python/tree/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](https://github.com/dassencio/codespaces-demo-python/tree/default) branch,
then proceed to [simple](https://github.com/dassencio/codespaces-demo-python/tree/simple), then
finally [complex](https://github.com/dassencio/codespaces-demo-python/tree/complex). Each branch
will contain a `README.md` with further instructions.