Workshop preparation
For this workshop, you will need access to a Python interpreter. We provide 3 tools below, you may use whatever works for you best.
Please only choose one of the tools below.
1. Jupyter Notebook (recommended)
- Jupyter Notebook is a web-based Python interpreter. McMaster members should have automatic access to this tool. If you don’t have access to Jupyter Notebook, two other alternatives are provided below.
- Simply navigate to https://mcmaster.syzygy.ca/ and sign in with your McMaster account.
2. Google Colab
- If Jupyter Notebook didn’t work out for you, Google Colab is a wonderful web-based alternative.
- Go to https://colab.research.google.com/ and sign in with your Google account.
3. Anaconda
- If you’d rather have a local installation of Python, you can use Anaconda. Anaconda is a distribution of Python built for data science. It comes included with useful data science packages.
- Download and install at https://www.anaconda.com/.
- Follow along with the guide for your OS system for installation instructions.
- Windows
- https://docs.anaconda.com/free/anaconda/install/windows/
- MacOS
- https://docs.anaconda.com/free/anaconda/install/mac-os/
- Linux
- https://docs.anaconda.com/free/anaconda/install/linux/