Create Projects - notebooks-ai/notebooks-manual GitHub Wiki
Notebooks.ai offers multiple options to setup your projects, including:
- Selecting base images with preinstalled packages
- Cloning from Github/Bitbucket
- Multiple box sizes based on your hardware needs
- JupyterLab Solutions extension for educators
This guide explains each section in the project creation screen:
1. Project Information
Name
is the only required field, everything else is optional. The slug
is automatically computed from the name and it can't be changed. Description
will be used mostly to provide context in the public view of your project. It can be left blank and fill it later.
2. Privacy
Privacy refers to the public view of your project. A Public
project will be accessible from the internet and it'll be indexed by search engines. An Unlisted
project means you can distribute the URL of your project so people can access it, but it won't appear in search engines or Notebooks.ai indices. A Private
project will be accessible only to you.
See related article, publishing my projects.
3. Clone existing repository
Include the URL of a public Github/Bitbucket URL and Notebooks.ai will take care of cloning the repository for you. Your project will contain the files of the repository.
4. Image and Libraries
Notebooks.ai offers multiple images for Data Science work. Each image includes a given Python version and a set of pre-installed tools. The Data Science
image is the recommended one, which includes the most common packages for Data Science (numpy, pandas, matplotlib, etc.).
5. Box Size
Choose the hardware allocated for your project. Right now, larger box sizes are available only to beta users.
6. Enable Solutions
Solutions is a Jupyter Lab extension for educators. With Solutions you can mark some cells as either Solution
or Hint
in order to assist your students later.