Update README.md

Author: jackparmer

README.md

@@ -10,17 +10,15 @@
 
 #### *Dash is the most downloaded, trusted Python framework for building ML & data science web apps*.
 
-Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial proudly crafted ❤️ by Dash itself.
+Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read [our tutorial](https://dash.plotly.com/getting-started) proudly crafted ❤️ by Dash itself.
 
-- [User Guide](https://dash.plotly.com/getting-started)
+- [Docs](https://dash.plotly.com/getting-started)
 
-- [Dash Docs on Heroku](https://dash-docs.herokuapp.com/) (for corporate network that cannot access plotly.com)
+- Dash app gallery with Python & R code: [dash.gallery](https://dash.gallery)
 
-- [Open-Source App Gallery](https://dash-gallery.plotly.host/Portal/) With sample code and templates!
+### Dash App Examples
 
-### App Samples
-
-| App | Description |
+| Dash App | Description |
 |--- | :---: |
 |![Sample Dash App](https://user-images.githubusercontent.com/1280389/30086128-9bb4a28e-9267-11e7-8fe4-bbac7d53f2b0.gif) | Here’s a simple example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just **43** lines of code ([view the source](https://gist.github.com/chriddyp/3d2454905d8f01886d651f207e2419f0)). |
 |![Crossfiltering Dash App](https://user-images.githubusercontent.com/1280389/30086123-97c58bde-9267-11e7-98a0-7f626de5199a.gif)|Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.|