# 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](https://conda.io/projects/conda/en/latest/user-guide/install/index.html) 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:

```bash
conda --version
```

## **Create a Conda E**nvironment

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

```bash
    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.

```bash
pip install shimoku
```

Or update it if it is already installed.

```bash
pip install --upgrade shimoku
```

{% hint style="warning" %}
When using a Linux Windows Subsystem (WSL) to launch the environments, be aware that searching manually the [URL of the playground](https://shimoku.io/playground/) on a browser will be necessary. This is due to code editors, such as Visual Studio Code, launching the port without content.
{% endhint %}