Starter Project šŸ‘‹ Ā 

by Jacky ChenMar 31, 2021
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  1. Getting started
    1. 1. Run a cell šŸƒ
    2. 2. Upload your data šŸ’½
    3. 3. Work with others šŸ¤
    4. 4. Become a single-shortcut superuser ⚔
    5. 5. Connect integrations šŸ”—
    6. 6. Publish your work šŸ“š
  2. Great job! šŸŽ‰
    1. Have a question? šŸ¤”

Getting started

šŸ‘‹ Welcome to Deepnote! If you're new to notebooks, we recommend you browse through this guide and watch the videos (it takes about 5 minutes). You can also pick what's most relevant to you right now and come back anytime to see the rest.

1. Run a cell šŸƒ

Select the code cell below and click Run in the right sidebar. You can also press Shift+Enter to run it and move to the next cell.

import pandas as pd # Load the data set df = pd.read_csv ('SF_bikeshare_stations.csv') df

2. Upload your data šŸ’½

Access your local files, create data sets or connect to third party services.

3. Work with others šŸ¤

Deepnote allows you to collaborate with others in real time. Head to the Share menu on the top right and hit Manage collaborators to add a friend or a colleague to this project.

4. Become a single-shortcut superuser ⚔

Press ⌘+P or Ctrl+P to open the Command palette and type in Add new comment to say something nice.

5. Connect integrations šŸ”—

Connect your Deepnote projects to other services like BigQuery, Amazon S3 or PostgreSQL.

6. Publish your work šŸ“š

Publish your work & build your own data science portfolio.

Great job! šŸŽ‰

Now - you have some work waiting for you, don't you?

Create a new project

To dive into using Deepnote, open your dashboard (or just click the logo in the top left corner) and create a new project. The setup takes no time at all, we promise.

Have a question? šŸ¤”

Hit the question mark in the bottom left corner and chat with us! We're always happy to help.

  • To learn more, head to our documentation at docs.deepnote.com.
  • Come say hi in Deepnote community!

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