# zuko.yml dependencies: - numpy==1.20.0 - pandas==1.3.5
Zuko helps ensure reproducibility by pinning package versions. This means that you can recreate the exact same environment on another machine, with the same package versions.
Zuko provides a simple way to install, update, and manage packages. You can install packages from PyPI or from a Git repository. zuko store pkg
Zuko provides a scripting interface that allows you to automate package management tasks.
# Create an environment with Python 3.9 and numpy zuko.env.create("myenv", python="3.9", packages=["numpy"]) # zuko
zuko pkg git add numpy zuko pkg git commit -m "Updated numpy to 1.20.1"
Zuko allows you to create, manage, and switch between different environments. You can create an environment with a specific Python version and package dependencies, and then easily switch to that environment. You can install packages from PyPI or from a Git repository
# Activate the environment zuko.env.activate("myenv") These are just a few examples of the useful features provided by Zuko. Let me know if you have any specific questions or if there's anything else I can help with!