docs/content/tutorials/jupyter-notebooks.md

---
title: Jupyter Notebooks
description: Try some online interactive squid-py tutorials.
---

You can go through interactive squid-py tutorials at [datascience.oceanprotocol.com](https://datascience.oceanprotocol.com/).
They're [Jupyter Notebooks](http://jupyter.org/) running on your own [JupyterLab](https://github.com/jupyterlab/jupyterlab) instance.
It's quite easy to figure out, but if you get stuck, here are some initial steps:

- Visit [datascience.oceanprotocol.com](https://datascience.oceanprotocol.com/).
- Click the **JupyterLab Instance** button.
- Login with your GitHub account.
- Once you're in the JupyterLab console, double-click on **mantaray_jupyter**.
- Double-click on **introdution.txt** and read it.
- Double-click on one of the **.ipynb** files. They're labelled to appear in a logical order.
- When asked to select a kernel, select Python 3.
- To make stuff happen (e.g. to run code cells), use the menus at the top of the JupyterLab console, or at the top of your current Jupyter notebook.

In you prefer a step-by-step tutorial, you can watch our thorough [Manta Ray tutorial mini series](https://www.youtube.com/playlist?list=PL_dn0wVs9kWqSO2iCXvrWuxKFSgVr0Jrw):

`youtube: N7HrWz35xIk`

`youtube: Ahbw4WDDFxI`

`youtube: FsDwOlOkIHc`

`youtube: VoBd1iwTvF8`

`youtube: MHxOOioYSbg`

For more info, see the blog posts:

- "[Project Manta Ray — Data Science powered by Ocean Protocol](https://blog.oceanprotocol.com/project-manta-ray-data-science-powered-by-ocean-protocol-535c54089b0f)"
- "[The Data Science Workflow — Powered by Ocean Protocol](https://blog.oceanprotocol.com/dive-into-ocean-protocol-ai-ecosystem-60f64eddf74d)"
-												Add link & explanation of Jupyter notebook tuts

											
										
										
											2018-12-18 10:56:43 +01:00
+								---
 								title: Jupyter Notebooks
 								description: Try some online interactive squid-py tutorials.
 								---
 								You can go through interactive squid-py tutorials at [datascience.oceanprotocol.com](https://datascience.oceanprotocol.com/).
 								They're [Jupyter Notebooks](http://jupyter.org/) running on your own [JupyterLab](https://github.com/jupyterlab/jupyterlab) instance.
 								It's quite easy to figure out, but if you get stuck, here are some initial steps:
 								- Visit [datascience.oceanprotocol.com](https://datascience.oceanprotocol.com/).
 								- Click the **JupyterLab Instance** button.
 								- Login with your GitHub account.
 								- Once you're in the JupyterLab console, double-click on **mantaray_jupyter**.
 								- Double-click on **introdution.txt** and read it.
 								- Double-click on one of the **.ipynb** files. They're labelled to appear in a logical order.
 								- When asked to select a kernel, select Python 3.
 								- To make stuff happen (e.g. to run code cells), use the menus at the top of the JupyterLab console, or at the top of your current Jupyter notebook.
-												Add link to the first Manta Ray blog post
											
										
										
											2018-12-19 17:41:22 +01:00
-												embed manta ray videos

											
										
										
											2019-06-20 11:41:36 +02:00
+								In you prefer a step-by-step tutorial, you can watch our thorough [Manta Ray tutorial mini series](https://www.youtube.com/playlist?list=PL_dn0wVs9kWqSO2iCXvrWuxKFSgVr0Jrw):
 								`youtube: N7HrWz35xIk`
 								`youtube: Ahbw4WDDFxI`
 								`youtube: FsDwOlOkIHc`
 								`youtube: VoBd1iwTvF8`
 								`youtube: MHxOOioYSbg`
-												insert a link to our manta ray tutorial series
											
										
										
											2019-06-18 13:57:55 +02:00
-												Update the Tools & Examples page

											
										
										
											2019-03-01 13:30:51 +01:00
+								For more info, see the blog posts:
 								- "[Project Manta Ray — Data Science powered by Ocean Protocol](https://blog.oceanprotocol.com/project-manta-ray-data-science-powered-by-ocean-protocol-535c54089b0f)"
 								- "[The Data Science Workflow — Powered by Ocean Protocol](https://blog.oceanprotocol.com/dive-into-ocean-protocol-ai-ecosystem-60f64eddf74d)"