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.
|
2018-12-19 17:41:22 +01:00
|
|
|
|
|
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)"
|