Quilt provides versioned, reusable building blocks for analysis in the form of data packages. A data package may contain data of any type or any size.
Quilt does for data what package managers do for code: provide a centralized store of record.
This repository contains example code for use with Quilt data repositories associated with my public Quilt packages
- Build a virtual environment:
robnewman$ python3 -m venv ~/venv/quilt-py3
robnewman$ source ~/venv/quilt-py3
- Install packages:
(quilt-py3) robnewman$ pip install -r REQUIREMENTS.txt
- Set up a new kernel:
This is useful if you want to force Jupyter to use your virtual environment Python version and not a default from, for example, Anaconda.
(quilt-py3) robnewman$ ipython kernel install --user --name=quilt
Getting the jupyterlab-quilt extension installed: Yarn version skew