8 Best Coding Languages Every ML and Data Science Expert Should Learn

8 Best Coding Languages Every ML and Data Science Expert Should Learn

To keep pace with rapidly-changing times, as a developer you need to have an iron grip on the latest technology. Data Science and ML professionals across the globe need to be updated with the new technology, whether it is data science modeling or coding languages. While the most powerful coding languages such as Python, C, and Java are popular among enterprises, the new coding languages are also one the rise. The top tier programming languages would include the mainstream coding languages including Java, JavaScript, Ruby, PHP, Python, C#, C++, and Objective-C.

As a top-notch Android app development company, we keep an eye on the latest technology, languages, and trends so that we can deliver futuristic solutions that meet the growing demands of customers and business infrastructure. If you hire Android app developers from us, you’ll get the best-fit and future-proof app solutions for your business that will meet all your unique business requirements.

In this article, we have compiled the emerging coding languages. Let’s discuss them one by one:

1. Swift
Swift is an open-source, general-purpose coding language designed by Apple in 2014. It is often considered to be the successor of Objective-C and is not limited to the Apple environment alone. It can be used by developers to create apps for Linux as well. Based on Objective-C, Swift’s variables are type-safe, and the syntax is more simplified. It is intended to provide beginners with comfortable entry to the programming world. Apple has even created its own learning app known as “Swift Playgrounds” to help learners understand the details of the programming language.

Swift is already popular among the app developers and secures the 9th position in the PYPL ranking and the TIOBE Index. It also ranks 6th among the most preferred languages in the latest Stack Overflow list.

2. Kotlin
Kotlin is an open-source, easy-to-learn, and swift language for Android app development and Android wearable app development. The language originated at JetBrains who are the makers of the popular IntelliJ IDEA IDE. Kotiln is developed to be completely interoperable with Java. Android app development has been Kotlin-first since Google I/O in 2019. This new language has features that developers need which effortlessly combining object-oriented and functional programming features within it.

Various Java applications are rewritten in Kotlin because it fixes the major issues surfaced in Java. Some of the popular brands such as Coursera and Pinterest are also moving to Kotlin app development due to strong its strong tooling support.

3. Dart
Dart is an open-source, object-oriented coding language developed by Google in 2011. It was considered as an alternative to JavaScript. Dart is mainly designed for mobile devices and the web. By the end of 2019, Dart’s developers announced its new version, Dart 2.6 with dart2native, which is an extension of its compiler set. As per the latest Github’s Octoverse report, Dart is gaining popularity among the devs community. Dart ranks among the best and fastest-growing coding languages on GitHub in 2019.

4. TypeScript
TypeScript is an open-source coding language developed by the tech giant Microsoft. Released in 2012, TypeScript is a superset of JavaScript programming language. It allows users to report the bugs earlier and use the type system to create the code swiftly. TypeScript provides an optional static type system helping users to write dynamically, or combine both types of code. The programming language provides auto-completion, which improves the efficiency of developers and the effectiveness of the application they develop.

5. Ballerina
Ballerina is a general-purpose programming language developed as a code-based alternative to configuration-based integration tools. It is one of the first languages that use constructs geared towards cloud-native development including support for modern data formats and protocols, distributed transactions, reliability, APIs, and event streams. It has features optimized for distributed computing applications and is heavily influenced in its syntax from Java, JavaScript, and Go. Its scripting is easy to write, learn, and modify, which makes it suitable for application programmers who want to connect various web services into one application.

6. Crystal
Crystal was released in June 2014 and is often regarded as the younger sister of Ruby. The coding language has been developed by over 300 contributors with strong influences from Ruby in its syntax, which makes it an object-oriented, general-purpose language. Crystal is an evolving language and with active developments in the language, its syntax feels more natural to read and easy to write compared to its previous versions. Currently, Crystal is available as free and open-source software for app developers to edit, copy, and modify as per their needs and preferences.

7. Go
Go is another emerging system-level coding language that comes with its own vocabulary and simple scoping rules. Go combines the best-of-the-breed of functional programming and object-oriented styles. It is conceived to be the fastest-growing coding language on GitHub, touted to be an alternative for languages like Java and C++. Currently, Go is the fifth most preferred programming language among app developers according to a stack overflow survey.

8. Rust
Rust is a system programming language developed by Mozilla and has achieved the top rank in “The Most Loved” category of Stack Overflow’s 2016 and 2017 developer survey. The design of the code is similar to C++ and has easy-to-learn syntax.

Rust is developed to be practical coding language, safe and concurrent, supporting crucial procedural and functional methods. However, Rust programming language is not for developing any application for end-users, it is for hardware, particularly for memory safety while maintaining performance.

Wrapping Up
So, these are some of the new and emerging programming languages in 2020-21, and learning these languages can accelerate the growth of every ML and Data Scientist, thereby developing more robust and futuristic app solutions for enterprises.

As a professional Android app development company, we keep a hawk’s eye on the latest technological trends and developments and try to incorporate them into our app development approach to build future-proof applications for enterprises.

Whether it is Kotlin app development, Android wearable app development, or any other Android app development services, you may feel free to hire Android app developers from us for the required service. Our team of highly-skilled and experienced Android app developers has already built successful Android apps for our clients and they can build apps for you too.

Simply share your project requirements with us and we’ll build the most intuitive, feature-rich, and high-performance Android app for your business.

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Ans. A hybrid app combines features of both native and web applications. Like a native app, a hybrid app can be distributed on the app store and can have operating system features, while it can also use cross-compatible web technologies. The biggest advantage of developing hybrid apps is that you can build apps on a single codebase. This means you can add new functionalities to multiple versions of your app. With native apps, you will have to rewrite or replicate every new feature you want to introduce for each platform. However, the speed of the hybrid apps will depend on the user’s browser. This means hybrid apps will almost never run as fast as native apps. So, if you’re looking for a fast and cost-effective solution, going with hybrid app development services is the right choice. If you’re focusing on the performance and fast-loading of apps, then native app development is your go-to solution.

Q.2. Which platform is the best for Android app development?
Ans. Some of the best frameworks for building Android apps include:
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