1. Have a local Python(3.7) environment

   • Anaconda is an easy way to do this, although somewhat bloated with packages

   • If you are short on space, consider installing Miniconda as we will be working in a virtualenv anyways

2. Have git, a version control tool (you should be able to run git in your terminal/cmd. If not, install it:

   • Windows: https://git-scm.com/download/win
   • Mac: https://git-scm.com/download/mac
   • Linux: … this should already be here

3. While you’re at it, make sure you have a github account as well, this will be useful later!

4. Set up your Python environment.

   1. Clone this repo

    git clone https://github.com/lucasdurand/visualization-seminar.git
    cd visualization-seminar
   

   1. Create a virtualenv and install our packages:

    pip install pipenv # install pipenv if not already installed
    pipenv install --skip-lock # this installs everything we need
   

5. Once everything is installed you can activate the environment with pipenv shell.

   • Now things should work as expected: try running jupyter notebook to launch a Jupyter instance and confirm everything is happy.

6. Install the Heroku CLI. Go ahead and create yourself a free account while you’re at it. We are going to use this later to deploy an app to the Cloud.