# Create a notebook

!> This page describes the **Machine Learning Manager**, a service of the ForePaaS Legacy Platform that is not available on OVHcloud Data Platform. See [the current documentation](/en/product/index).

To create a notebook instance, head to the **Notebook** section of the Machine Learning Manager.

![notebooks](picts/main-page.png)

Click on **New notebook** in the top-right.

![notebooks](picts/create1.png)

You have to choose a [container image](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html) for your Jupyter environment, i.e. the set of packages and dependencies you want to have for your new notebook. ForePaaS features several ready-to-run images which contain the most popular libraries for data analysis and data science. 

> If you are new at creating notebooks, we recommend starting off with a *Data Science notebook*. It contains all the basic Python libraries for data exploration such as pandas, scipy, scikit-learn, matplotlib and much more!

![notebooks](picts/create2.png)

You can then configure your notebook further before it is created (and it is still possible to change those settings later on). Once you press **Create**, the server for the notebook will be initialized - with its specific environment and dedicated computing resources.

![notebooks](picts/create3.png)

The two main aspects to configure are:
* [Additional dependencies](/en/product/ml/notebooks/create.md?id=notebook-dependencies)
* [Resources](/en/product/ml/notebooks/create.md?id=notebook-resources)

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## Notebook dependencies

Your notebook's image already comes with some default packages, which you can individually check in the image description in the marketplace. 

![notebooks](picts/scipy-notebook.png)

You can specify additional dependencies by clicking on the **Add** button in the *Dependencies* panel.

![notebooks](picts/add-dep1.png)

Simply choose the type of dependency and enter the name of the package to install in the server.

![notebooks](picts/add-dep2.png)

You can add several packages at once by pressing *Enter* every time, like tags.

![notebooks](picts/add-dep3.png)


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## Notebook resources

Check out the dedicated sections to learn how to configure your new notebook's resources. It is suggested to configure them before confirming the creation of the notebook.

{Configure a notebook's resources}(#/en/product/ml/notebooks/index.md?id=edit-resources)