Student installs

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