We will be using Anaconda environments to manage the python packages that are needed for our curriculum. You can think of an environment as a container for the packages that you need to run code.
Environments can be useful when you have several different projects, each with different software requirements. Environments let you separately the packages used for each package and preserve them so that the project code will continue to work in the future.
Today, we'll start by building our very first conda environment. Metis has a list of the software needed to run all the code in our curriculum. We keep track of this in the cloud, allowing you to easily get up and running.
First, you need to have anaconda installed in order for this to work. Check that
conda is installed by running conda -V from your terminal. You should
receive a response indicating your current conda version.
If you haven't already, install the appropriate miniconda for your system from the link here. Be sure to select the python 3.* version.
Now we'll run the code to install the metis environment.
First, let's check if conda needs to be updated:
conda update conda -yNext, we need to install anaconda-client in order to load cloud environmentts.
conda install anaconda-client -yFinally, install the Metis environment:
conda env create thisismetis/metisThe nb_conda package will automatically connect your conda environment to
jupytyer.
When you open a new terminal, you should see a prompt similar to:
(base)$This indicates that you are currently in the "base" environment. You can confirm
this with conda info.
Before you can run Jupyter, you need to switch to the Metis environment. You can do this by running
(base)$ conda activate metis
(metis)$You can then start Jupyter by running
(metis)$ jupyter notebookWhen starting a new notebook in Jupyter, students should select "Kernel -> Change Kernel -> metis" before running.