2/ 🍔 A new block type has just landed - slider cells let you (and the viewers of your notebooks) dynamically change inputs and re-run the analysis without touching code.
To test it out, open a notebook, add + Block and choose Slider in the inputs section.
3/ 💙 Our buddy Justin @joincfe made a video tutorial on Pandas. In this comprehensive tutorial, he walks through everything from creating your first dataframe, all the way to cleaning and analyzing data and experimenting with different methods: piped.kavin.rocks/ahyUXSDJW1g
Come join us at 🌎 datathon for social good 🌎 next weekend! In this 2-day online data event, we will leverage analytics to work on large-scale issues in global development
🕒 Nov 13-14
📍 Online, with optional in-person at @UCBerkeley
More info & RSVP: facebook.com/events/93304719…
🐬 You can now connect to your @MySQL and @awscloud Amazon Athena instances and query data with SQL cells, right within your Deepnote notebook. When you run SQL queries you can even assign and store resulting dataframes in Python variables. Here's a demo: loom.com/share/d0648e093df74…
🔒 Deepnote now integrates with @okta for a more secure sign-in process. If you'd like to enable it for your team or organization, you can learn more about the set up process here: docs.deepnote.com/resources/…
2. Organize your building blocks - Click on Publishing editor or go to the Share menu on the top right. This opens up your publishing canvas - here you can select blocks you want to use in your app using + and - icons, move them around, resize them, or hide code.
3. Publish & share securely - Your Deepnote app comes with security, data refreshes and permissioning built in. Just hit Publish to get the app live. This creates a URL link that can be accessed by your team, project collaborators or the public.
🚨 Welcome to Deepnote's product updates #50! We're so excited to introduce a new publishing mode that transforms your notebooks into data apps, dashboards and interactive articles. This is the next step on our journey to making your data assets more accessible👇
2/ 👋 Deepnote gallery got an upgrade - we now have Featured creators section. Every month, we will select top community contributors and spotlight their data science portfolio. Explore the gallery here: deepnote.com/explore