Basically, the trajectory was we had our iOS app, which started out native, right? It started as a native app, and then we realized you have to go through a review process and it’s slow, and at a very early stage, it made sense for us to make it a wrapped web view. Basically, the app would open, and it would be a web view inside of it that we could iterate on quickly and change very rapidly and not have to wait for app store view process to change it. It wasn’t totally a native experience, but it was as actually a pretty good experience and lasted for a very long time and was up until recently the foundation of our current mobile web experience, which is different from our app situation. So for a long time, basically, our app store iOS Instacart app was a wrapped web view of just our store, a condensed version of our store, which meant that we could add things. We could change sales. We could change the formatting. We could change the UI really fast and not have to worry about the app store review process.

This all changed about a year ago, I would like to say, at which point it became a totally native app. We felt comfortable enough with the product and all the features that we made it a native experience and made it a fully featured app.

What are my other choices for a vectorized statistics language. Professor was pushing SAS Jump (or was that SPSS) with a menu-driven point and click approach. (Reproducibility can still be accomplished, you publish the script generated by all your clicks.) But I want to type everything, great online tutorials for R. I think I made the right pick.

While the majority of our stack is now using Swift, we still love Objective-C in many cases, especially low-level software manipulation, where it's just easier. It doesn't hurt that a lot of iOS/OS X Libraries out there are written in it either.

We like to go native with iOS development, and Objective-C has been the only game in town until recent introduction of Swift. We're keeping an eye on Swift, but we aren't giving up on the [old way:to do:things]!

Huge boon to productivity when coupled with Phoenix. Moreover, it has made background jobs and all the unseen aspects of a business easily abstracted.

Attitude Quotes Whatsapp from the DailySMSCollection

Connect to database, data analytics, draw diagram. Machine Learning application, and also used Spark-R for big data processing.

PrometheanTV provides SDKs for IOS devices including support for the Objective-C language.

Visualisation of air quality in various rooms by RShiny (hosted free on shinyapps.io)

Knowledge collection, collation, and enrichment. Business logic.

For some internal tools like our email deliverability monitor

R is primarily used by SESYNC's researchers

Offline deep analytics and modeling

language used by phoenix framework

Elixir and Phoenix are awesome.