Python Environment

This section outlines the system requirements for running the different versions of PerceptiLabs.

PerceptiLabs requires a local installation of our PyPI kernel package. Before you can install this package you must have an installation of Python that meets one of the versions listed above.

Since there are multiple methods to install Python, and multiple versions of Python can co-exist on your machine, we suggest setting up a virtual Python environment, in which you can install and run our kernel package.

The following are common tools for creating virtual Python environments:

• pipenv

• poetry

• venv

• virtualenv

• conda

The steps below show how to set up a simple Conda environment:

1. Download Anaconda and install it

2. Open a terminal window.

3. Run: conda create -n myenv python=3.7

4. Run: conda activate myenv