Environment Setup

There are plenty ways to setup a local development environment for Python such as virtualenv, Pipenv, conda, etc. We recommend conda for its ease of use and a wide variety of support for other libraries.

Installing conda

The installation steps are a little different across different operating systems, the official installation guide can be found here (opens in a new tab). Between Miniconda and Anaconda, Miniconda is more than sufficient for our usage.

Creating a new environment

After successfully installing conda, create a new environment by running

# eg. conda create -n cybotrade python==3.11
conda create -n <environment_name> python==3.11

This will create a new conda environment with Python 3.11 installed, if everything is successful you shall see the following prompt.

Activating the environment

To activate the environment in your current terminal session, run

# eg. conda activate cybotrade 
conda activate <environment_name>

If you are using VS Code, remember to point the Python interpreter to the version installed in your environment by doing Ctrl + Shift + P or Cmd + Shift + P, type Python: Select Interpreter and enter. Then, select the Python version from your environment such as the following screenshot.