> ## Documentation Index
> Fetch the complete documentation index at: https://anaconda.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Connecting to MLDB

Data Science & AI Workbench enables you to easily connect to MLDB, an open-source database designed for machine learning.

To do so, you’ll need to install the `pymldb` and `tqdm` pip packages, which contain the Python interface for MLDB and a progress meter:

```
pip install pymldb tqdm
```

**NOTES:**

* `pymldb` works with Python 2 only.
* Any packages you install from the command line are available *during the current session only*. If you want them to persist, add them to the project’s `anaconda-project.yml` file. For more information, see [Project configurations](../../projects/dependencies).

You can then use code such as this to import the library and connect to MLDB from within a notebook session:

```py theme={null}
# Import the library
from pymldb import Connection


# Setup the connection to MLDB install
mldb = Connection('http://path-to-your-mldb.com:8080')

# Query the database
mldb.query("select * from example")
```