docs/mdbook/src/installation.md - datafusion-python - Git at Google

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 # Installation

 DataFusion is easy to install, just like any other Python library.

 ## Using uv

 If you do not yet have a virtual environment, create one:

 ```bash
 uv venv
 ```

 You can add datafusion to your virtual environment with the usual:

 ```bash
 uv pip install datafusion
 ```

 Or, to add to a project:

 ```bash
 uv add datafusion
 ```

 ## Using pip

 ``` bash
 pip install datafusion
 ```

 ## uv & JupyterLab setup

 This section explains how to install DataFusion in a uv environment with other libraries that allow for a nice Jupyter workflow.  This setup is completely optional.  These steps are only needed if you'd like to run DataFusion in a Jupyter notebook and have an interface like this:

 ![DataFusion in Jupyter](https://github.com/MrPowers/datafusion-book/raw/main/src/images/datafusion-jupyterlab.png)

 Create a virtual environment with DataFusion, Jupyter, and other useful dependencies and start the desktop application.

 ```bash
 uv venv
 uv pip install datafusion jupyterlab jupyterlab_code_formatter
 uv run jupyter lab
 ```

 ## Examples

 See the [DataFusion Python Examples](https://github.com/apache/arrow-datafusion-python/tree/main/examples) for a variety of Python scripts that show DataFusion in action!
	<!---
	Licensed to the Apache Software Foundation (ASF) under one
	or more contributor license agreements. See the NOTICE file
	distributed with this work for additional information
	regarding copyright ownership. The ASF licenses this file
	to you under the Apache License, Version 2.0 (the
	"License"); you may not use this file except in compliance
	with the License. You may obtain a copy of the License at
	http://www.apache.org/licenses/LICENSE-2.0
	Unless required by applicable law or agreed to in writing,
	software distributed under the License is distributed on an
	"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
	KIND, either express or implied. See the License for the
	specific language governing permissions and limitations
	under the License.
	-->
	# Installation

	DataFusion is easy to install, just like any other Python library.

	## Using uv

	If you do not yet have a virtual environment, create one:

	```bash
	uv venv
	```

	You can add datafusion to your virtual environment with the usual:

	```bash
	uv pip install datafusion
	```

	Or, to add to a project:

	```bash
	uv add datafusion
	```

	## Using pip

	``` bash
	pip install datafusion
	```

	## uv & JupyterLab setup

	This section explains how to install DataFusion in a uv environment with other libraries that allow for a nice Jupyter workflow. This setup is completely optional. These steps are only needed if you'd like to run DataFusion in a Jupyter notebook and have an interface like this:

	![DataFusion in Jupyter](https://github.com/MrPowers/datafusion-book/raw/main/src/images/datafusion-jupyterlab.png)

	Create a virtual environment with DataFusion, Jupyter, and other useful dependencies and start the desktop application.

	```bash
	uv venv
	uv pip install datafusion jupyterlab jupyterlab_code_formatter
	uv run jupyter lab
	```

	## Examples

	See the [DataFusion Python Examples](https://github.com/apache/arrow-datafusion-python/tree/main/examples) for a variety of Python scripts that show DataFusion in action!