Conda install

If you already have conda or anaconda installed, skip to ``Git install`` below

For MacOS new installs

  1. Download miniconda from https://docs.conda.io/en/latest/miniconda.html – choose the Miniconda3 MacOSX 64-bit pkg file from the menu and run it, agreeing to the licences and accepting all defaults. You should install for “just me”

  2. To test your installation, open a fresh terminal window and at the prompt type which conda. You should see something resembling the following output, with your username instead of phil:

% which conda
/Users/phil/opt/miniconda3/bin/conda

For Windows new installs

  1. Download miniconda from https://docs.conda.io/en/latest/miniconda.html – choose the Miniconda3 Windows 64-bit. download from the menu and run it, agreeing to the licences and accepting all defaults.

The installer should suggest installing in a path that looks like:

C:\Users\phil\Miniconda3

  1. Once the install completes hit the windows key and start typing anaconda. You should see a shortcut that looks like:

Anaconda Powershell Prompt
(Miniconda3)

Note that Windows comes with two different terminals ``cmd`` (old) and ``powershell`` (new). Always select the powershell version of the anaconda terminal

  1. Select the short cut. If the install was successful you should see something like:

(base) (Miniconda3):Users/phil>

with your username substituted for phil.

Git install

Inside your powershell or MacOs terminal, install git using conda:

conda install git

Setting up the course repository

In the terminal, change directories to your home directory (called ~ for short) and make a new directory called repos to hold the course notebook repository. Change into repos and clone the course:

cd ~
mkdir repos
cd repos
git clone https://github.com/phaustin/numeric_students.git

Creating the course environment

In the terminal, execute the following commands:

cd numeric_students/utils
conda env create -f numeric.yml
conda activate numeric

Opening the notebook folder

cd ~/repos/numeric_students/numeric_notebooks
jupyter notebook