Overview

Environments provide a controlled and isolated workspace for developing and running Python or other programming languages, allowing users to manage dependencies and package versions effectively.

It is suggested to use Conda, although any similar environment management system can work for that matter.

Install Conda

Visit the Conda page and install the version that suits your operating system. Follow the simple steps they provide to finally set up their tools.

Ensure the installation has been successful by verifying the Conda version installed:

conda --version

Create a Conda Environment

Isolate properties and manage dependencies effectively by creating a new environment.

    conda create -n your_shimoku_env_name python=3.9 ipython
    conda activate your_shimoku_env_name 

Install Shimoku SDK

Install the Shimoku SDK or update it (> v.2.0.0) to access the latest features in the recently created environment.

pip install shimoku

Or update it if it is already installed.

pip install --upgrade shimoku

When using a Linux Windows Subsystem (WSL) to launch the environments, be aware that searching manually the URL of the playground on a browser will be necessary. This is due to code editors, such as Visual Studio Code, launching the port without content.