Ambika Choudhury

In this post, Osai, a Turing developer, talks about Android 12 best features, and how the update delivers a personalized and secure experience to the users.

In a recent interview, Osai, a software developer at Turing.com, shared an in-depth analysis of Android 12. The latest update, also known as Snow Cone, comes with several intuitive features. The new release offers features that deliver an even more personalized, secure, and effortless experience to the users compared to the earlier versions. Here are a few points about Android 12 best features that Osai shared in the interview.

Android 12 Best Features: Material You

Android 12 introduces Material You, a new design language that allows users to create personalized and dynamic apps.

Android 12 Best Features: Private Compute Core

Android 12 introduces Private Compute Core, a secure mobile environment isolated from the rest of the operating system and applications.

Android 12 Best Features: AppSearch

AppSearch is now available as a system service in Android 12. This feature is a high-performance on-device search engine that enables applications to index structured data and search it using built-in full-text search.

Android 12 Best Features: Widgets improvements

The existing widgets API in Android 12 improves the user and developer experience in the platform and launchers. The developers at Android have also created a guide that will help you ensure that your widget is compatible with Android 12 and a reference for APIs for refreshing your existing widget. 

For instance, a widget can use the device theme colors for buttons, backgrounds, and other components starting from this version, including light and dark themes. This feature will help in enabling smoother transitions and consistency across different widgets.

Android 12 Best Features: Enhancements for animation and New API

All apps now have a new app launch animation that includes an into-app motion from the point of launch, a splash screen with the app icon, and a transition to the app itself in Android 12.

Android 12 adds a new unified API that allows your app to consume rich content from any available source, including the clipboard, keyboard, and drag-and-drop. The new release also introduced rounded corner APIs, which are RoundedCorner and WindowInsets.getRoundedCorner(int position). These APIs provide the radius and center point for rounded corners.

Final verdict

Android users can expect even more sophisticated features from this operating system in the coming years, like enhanced security and performance.

Owing to the massive popularity of the operating system, Android developers are in high demand worldwide. 

If you’re a skilled Android developer looking for a remote job, try Turing. Turing is an AI-powered Intelligent Talent Cloud that connects developers with long-term, high-paying, remote jobs at leading US firms. To learn more, go to our Jobs page!

Watch the full interview here: https://www.youtube.com/watch?v=Rxv0yIcNmPU&t=409s 

Join a network of the world's best developers and get long-term remote software jobs with better compensation and career growth.

Apply for Jobs

MLOps is an attempt to elevate machine learning from experimentation to a fully contributing part of any organization’s tech stack. Read here to know more.

In one of the recent episodes of Turing Dev Talks, Parv, a Machine Learning Tech Lead at Turing, shares his insight on MLOps. MLOps is catching the attention of industry leaders across the globe and creating new job profiles. Parv highlighted the intricacies of this emerging discipline and answered some of the frequently asked questions related to it. 

MLOps is an attempt to elevate machine learning from experimentation to a fully contributing part of any organization’s tech stack. Organizations are focusing on MLOps by taking the machine learning models from experimentation to solving actual business problems. 

This post looks at the fundamentals of MLOps and shares tips on you can get started in this field as a software developer.

Let’s dive in.

MLOps: A bridge between production and deployment  

According to reports, 72 percent of organizations that began AI pilots couldn’t even deploy a single application in production. MLOps has the potential to bridge this gap between the creation of a product and its deployment.

The practice is all about solving the end-to-end lifecycle management problems that arise when working on a machine learning problem. MLOps helps take an ML proof of concept (POC) and gets it production-ready. 

Why should you use it?

Parv highlighted the following benefits of using MLOps:

• MLOps helps in creating reproducible models and retraining machine learning models easily.
• MLOps aids  in calculating the features needed for a machine learning model in production
• After deployment, MLOps helps monitor the predictions made by the model and checks if the predictions are in line with the expectations.
• MLOps enables effective management of the entire machine learning lifecycle.

MLOps: DevOps vs. MLOps

MLOps is like a specialization of DevOps focused on the end-to-end lifecycle management of machine learning products. The critical difference between the two is that, unlike DevOps, MLOps can evaluate the input/output and predefined user behavior and the data and the model quality from the machine learning products. 

MLOps can also identify previously unseen behavior of machine learning models. 

Essential skillsets for aspiring ML engineers

To become a skilled machine learning engineer, it is not mandatory to have certified machine learning degrees. However, one must have explicit knowledge and understanding of the fundamental concepts of software engineering and how various machine learning techniques work.  

Summary: What is MLOps and why do we need it?

Since the past few years, there has been an increasing interest in MLOps from organizations across various industries. In addition, the push to have standardized machine learning model formats and standardized data set definitions has accelerated this branch of machine learning.

At present, there are a plethora of machine learning job postings that are currently available on various online job portals. Many machine learning developers are also looking for MLOps opportunities that are a perfect fit for their skillsets. However, standing out in this global developer pool is immensely difficult. If you want to stand out in the competition, we might have something for you. With Turing, you can land high-paying, remote machine learning developer jobs at top US companies right from the comfort of your home. Visit the Jobs page to know more. 

Join a network of the world's best developers and get long-term remote software jobs with better compensation and career growth.

Apply for Jobs

This post looks at some of the primary applications of Vue.js to help software developers understand the framework better.

In a recent interview, Manaf, a software developer at Turing.com, shared his insights on Vue.js.  With 190k GitHub stars, Vue.js is currently one of the most sought-after JavaScript frameworks among software developers. Giants like Facebook, Apple, Adobe, BMW, and GitLab are also fond of it. Evan You, a former developer at Google, created the Vue.js framework as a side project. 

Owing to the framework’s massive popularity, the Vue.js community continues to grow with contributions from front-end developers across the globe. 

This post looks at some of Vue.js’ basic features and applications to help developers understand the framework better.

Vue.js: How does it work? 

Vue.js focuses on the layout and UI with the help of JavaScript. “This means if you have a static web application that focuses on UI and you’re not sure if you should add more functionalities, Vue.js can help you in adding more JavaScript functions and other functionalities,” says Manaf.

Also, the Vue.js framework connects the View and the Model via two-way data bindings, making it easy to integrate into various projects. The built-in features that help Vue.js gain popularity include two-way data binding, virtual DOM, components, animation, and detailed documentation. 

Vue.js: Why should you use it?

Manaf highlighted the following benefits of using the Vue.js framework:

• Vue.js is well-known among developers for its quick-learning curve and fast development approach that helps build web applications in real-time.
• If you have a tight budget and time constraints, Vue.js can help you to develop your MVP in no time.
• Vue.js is also a good choice for developers if they are developing sophisticated single-page applications (SPA). 
• Vue.js helps you create a quick and easy-to-use UI with minimal JavaScript without going through the maintenance of the pipeline for the data flow.
• Vue.js is a developer-friendly framework that helps you develop your Vue-based application without any hassle.

Summary

Vue.js pretty much has it all when it comes to web development. There are several reasons why Vue.js is growing so fast among developers. It is developer-friendly, has a fast learning curve, well-defined ecosystem, and handy conventions. All these intuitive features make Vue.js a reliable option for web developers. 

At present, there are hundreds of Vue.js job openings on popular online job platforms. Similarly, thousands of software developers are looking for Vue.js jobs that perfectly match their skill sets. 

If you want to stand out in the competition, we might have something for you. With Turing, you can land

remote Vue.js jobs at top US companies right from the comfort of your home. Visit the jobs page to be part of Turing’s elite developer community.

Watch the full interview here

Join a network of the world's best developers and get long-term remote software jobs with better compensation and career growth.

Apply for Jobs