Install Course Level Packages

Every course you create in DataCabinet has a corresponding Conda environment. You can install additional packages for a course using either conda install packagename or pip install packagename.

INSTALLING PIP PACKAGES

pip is the recommended tool for installing packages in Python from the Python Packaging Index (PyPI). PyPI has almost 145,000 packages in it right now, so a lot of what you need is going to be there.

Let us consider the example of a package numpy installing :

  1. For opening a terminal, click on the “New” tab choosing the correspondent option in the dropdown
open terminal
  1. Inside of a Terminal, you can install numpy package, simply do pip install numpy
install numpy

INSTALLING CONDA PACKAGES

For lots of scientific software, installing with conda is often simpler & easier than installing with pip. You may install packages from conda-forge, a community maintained repository of conda packages.

install conda