# Focus on the Notebooks

## <img src="https://1833277725-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-Lyc1OXsKqB2S62LxsOR%2F-M1k21VICX6EyzB_SMCx%2F-M1k2819A_04Uk5MrQ3q%2Fnotebook.PNG?alt=media&#x26;token=fda3c675-3410-41b7-969f-7dd4d242a7ed" alt="" data-size="line"> **How to use the SmartPredict Notebook ?**

* **Start the Kernel.**
* **Click on the "Create new notebooks" button .**
* **Add the name of the notebook you want to create.**
* **Start coding.**
* **Save it at any time.**

The code shown in the .gif image is a snippet for loading the iris dataset. For testing, enter the `code block` below:

```
import smartpredict as sp
import tensorflow as tf
sp.api.dataset_load('iris_dataset')
```

Follow the wizard and insert the code as follows:

![The Notebooks are handy tools for creating your own snippets.](https://1833277725-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-Lyc1OXsKqB2S62LxsOR%2F-M-nv7Ceb6mt03OzXXCm%2F-M-oVK4FQlv6585ly_Jy%2FSmartPredict.gif?alt=media\&token=08b1531a-b292-4069-ae93-9cff77b811cb)

### Kindred notebooks

If you are already familiar with kindred notebooks such as Jupyter and the like, you will find the Notebooks an interesting alternative.&#x20;

If you  are yet to discover the SmartPredict Notebooks, you will soon see how you can customize your projects with them and will appreciate their handy functionalities.

![Here is the snippet that loads the iris dataset.](https://1833277725-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-Lyc1OXsKqB2S62LxsOR%2F-M1dgCy3ToQPs_rLmYeX%2F-M1dmyOs7_5dIM1jH3Kt%2Fimage.png?alt=media\&token=18a46fdf-4597-4cc3-bbd0-277baa951477)

### **SmartPredict library**                                                                                                                                                  &#x20;

The SmartPredict Library is a Python library for Data Science adopting the SmartPredict Studio workflow.        It is built on top of many open source frameworks. The concept is to offer an easy way for people to engage into Data Science and Machine Learning with little effort.

### **Save current cell as a custom module**                                                                                                                  &#x20;

You can export the content of a cell as a custom module's code. Both function and class types are supported.

### **Save current cell as a code snippet**  &#x20;

You can save the **content of a cell** as a **code snippet** and reuse the code inside of it at any time for other projects.
