Those who use an iPhone will find this new macOS version more familiar to them than the previous one. The UI elements of the revamped WhatsApp for Mac matches those of the iOS app. Finally, on the right, there's the conversation view where you actually chat with others. In the middle bar you get the chat list where you can hop between conversations. This sidebar houses the tabs you might find yourself needing the most - such as Chats, Calls, Settings, and more. On the left, you now get a sidebar that you can hide through the dedicated button in the top left corner. The app now looks more in line with the rest of the system. As the screenshot above reveals, this version ditches the user interface (UI) of WhatsApp Web and introduces an all-new design that better matches that of macOS. This version utilizes Apple's Catalyst technology and supports the company's silicon natively. WhatsApp has launched a new beta program for its Mac client on TestFlight.
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The use case discussed involves pre-processing a dataset, and training a machine learning model in RStudio. We will then demonstrate a Data Science use case in RStudio and create an application on Shiny. We use these services: AWS Fargate, Amazon Elastic Container Service (Amazon ECS), Amazon Elastic File System (Amazon EFS), AWS DataSync, and Amazon Simple Storage Service (Amazon S3). In this post, we describe and deliver the infrastructure code to run a secure, scalable and highly available RStudio and Shiny Server installation on AWS. In this previous blog, we provided a solution architecture to run Data Science use cases for medium to large enterprises across industry verticals. These visualizations are traditionally hosted on legacy unix servers along with Shiny Server to support analytics. RStudio Server is a popular Integrated Development Environment (IDE) for R, which is used to render analytics visualizations for faster decision making. 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