> For the complete documentation index, see [llms.txt](https://wiki.smhuda.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wiki.smhuda.com/pentesting/tool-usage/python-virtual-environments.md).

# Python Virtual Environments

#### Steps to Create and Use a Virtual Environment:

1. **Open a Terminal or Command Prompt**
2. **Navigate to Your Project Directory** (Optional): If you are working on a specific project, navigate to the project folder where you want to create the virtual environment

```bash
$ cd path/to/your/project
```

3. **Create the Virtual Environment**: Run the following command to create a virtual environment. The recommended method is to use `python -m venv` followed by the name you want to give to your virtual environment (usually `venv` or `env`):

```bash
$ python -m venv venv
```

This will create a `venv` directory containing the virtual environment files in your current folder.

4. **Activate the Virtual Environment**: After creating the virtual environment, you need to activate it.

* **On Windows**:

```bash
$ venv\Scripts\activate
```

* **On macOS and Linux**:

```bash
$ source venv/bin/activate
```

5. **Install Packages**: Once the virtual environment is activated, you can install packages using `pip`. For example:

```bash
$ pip install package_name
```

6. **Deactivate the Virtual Environment**: When you're done working in your virtual environment, you can deactivate it by running:

```bash
$ deactivate
```

7. **Using the Virtual Environment**: Each time you want to work on your project, you'll need to reactivate the virtual environment by running the activation command again.


---

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