Polong Lin
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1 vote
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6 votes
A tutorial (mini-course on Big Data University) is being created which will provide a guided tour and help users get started with using various tools within the Workbench.
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6 votes
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3 votes
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46 votes
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3 votes
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An error occurred while saving the comment Polong Lin shared this idea ·
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38 votes
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67 votesunder review ·
AdminLeon Katsnelson (Director & CTO, IBM Analytics Emerging Technology, Cognitive Class Labs) responded
We will look at this as two feature requests:
1. post your Shiny app on shinyapps.io (requires account)
2. turn analytics you built in to deployable appsAn error occurred while saving the comment Polong Lin commented
Cool! This guide might help: http://www.r-bloggers.com/add-authentication-to-shiny-server-with-nginx/
An error occurred while saving the comment Polong Lin commented
Great idea! Does it need to be linked specifically to shinyapps.io? What if you could hosted it directly on Data Scientist Workbench and share your apps with everyone?
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1 vote
An error occurred while saving the comment Polong Lin commented
Hi, is this Carlo? If so, we can close this now. If not, please submit a ticket using the blue question mark in the bottom-right corner.
Thank you,
Polong Lin -
8 votes
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24 votesplanned ·
AdminLeon Katsnelson (Director & CTO, IBM Analytics Emerging Technology, Cognitive Class Labs) responded
You asked/voted and we listened. We are working on an interface for file and directory management
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6 votes
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8 votes
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11 votes
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An error occurred while saving the comment Polong Lin commented
Hi Gerald, this already works in Python notebooks using the <tab> key.
For example:
> import math #Run this line first so the module is imported
> math. #After the period, press TAB. You should see a list of available functions.
Actually, by "at the click of a button" I mean - by clicking on any link that ends with .ipynb, the Chrome extension should automatically know to import and load it in my DSWB account.