With technologies like AR, VR, artificial intelligence, quantum computing, and blockchain on the rise, it’s no wonder that the future of coding is looking more exciting than ever. Businesses are constantly on the lookout for new ways to stay ahead of the curve, and developers are always looking for new languages that will help them do just that. No doubt that these five languages will have a big impact on the future of coding.
1. Golang
Golang, developed by Google in 2009 is one of the top programming languages that is statically typed, and compiled. It is easy, simple and efficient to learn. Also, it was built to fill in the gaps between Java and C++. The language has a number of built-in types that include booleans, character strings, and numeric types. Moreover, Google Earth, Google Chrome, and YouTube all use Go.
Pros
- great performance
- garbage collection
- memory safety
- quick compilation
- straight forward file structure
Cons
- sloppy code
- inconvenient tooling
- not-so-advanced libraries
- slow automation
- limited community support
2. Julia
Julia is a high level programming language that was developed specifically for scientific computing. It is also used for data analysis, machine learning, and large-scale linear algebra functions. Julia has a rich language of types that allow developers to solve technical problems in a number of ways. This language can also be used in game development, web development, and image processing. Moreover coding done by Julia is supported by various development tools like integrated development environments, Visual studio code, and more. This can be compiled to binary executables with no runtime required.
Pros
- fast and easy to use
- clean and open source
- dynamic typed compilation
- string handling
- multiple dispatch
- elegant syntax
- good for scientific computing
Cons
- consume large memory
- unstable core language
- lack of developer support
- immature ecosystem
3. Rust
Rust was developed by Mozilla in 2010. It’s a statically typed, general-purpose language that runs on a variety of platforms, including Windows, macOS, Linux, and more. Rust is known for its speed, safety, and concurrency. It also has a number of features that make it a great choice for developing large-scale applications, including its memory safety, ownership, and lifetime features. It does not have automatic garbage collection, which means that developers have to manage memory manually. With its popularity many companies like Microsoft, Dropbox, and Amazon have started to use Rust for doing system programming.
Pros
- memory safety
- ownership
- thread safety
- fast and efficient
- cross-platform
Cons
- no automatic garbage collection
- limited tooling and libraries
- poor documentation
4. Kotlin
Kotlin is a modern, cross-platform, statically typed programming language that was first released in 2017. It was developed to be compatible with Java language and runs on the (JVM) Java Virtual Machine. Kotlin was announced as one of the official languages for developing Android applications, as it has excellent support for the platform. In addition, this language is also compatible with JavaScript, this means that Kotlin can be used for web development as well. Google prefers Kotlin for Android app development and it is also being used by companies like Netflix, Uber, and Pinterest.
Pros
- interoperability with Java
- runs on JVM
- supports Android development
- may be used for web development
- easy to learn
Cons
- no support for macOS and iOS
- limited tooling and libraries
- immature ecosystem
5. Dart
One of the best languages for mobile app development is Dart. It is a modern, object-oriented language that was developed in 2013. Dart may be used for developing desktop applications, mobile apps and server-side applications. It also offers excellent support for the web and can be used for web development with the AngularDart framework. Dart is fast, and easy to learn for developers who are already familiar with languages like Java or JavaScript. It also has a set of multiple features that make it a great choice for developing large-scale applications, such as its garbage collector, type system, and libraries.
Pros
- fast and predictable
- easy to learn
- supports multiple platforms
- rich standard library
- great tooling support
Cons
- no support for older browsers
- immature ecosystem
- limited libraries and tools
Final thoughts
From the above discussion, we can conclude that there are a number of great programming languages that can be used for developing large-scale applications. However, each language has its own strengths and weaknesses. It is important to choose the right language for the right project.
