Top 5 new programming languages to learn in 2023

TechGig
3 min readDec 7, 2022

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2023 is just around the corner! And here’s our pick of the top 5 new programming languages that you should learn next year.

Based on the popularity of languages like C++, Python, and Java, a new generation of programming languages and architectures has emerged this year, adding to the hundreds of thousands of languages currently in use. These fresh vocabularies are intended to aid in speed optimization, provide user-friendly learning curves, and facilitate the scalability of future breakthroughs.

Here are the top 5 new programming languages that you should learn in 2023!

1. Pony

Pony is an actor-model- and reference-capability-supporting, garbage-collected, a type-safe language with no data races. A programmer with reference capabilities must identify changeable, immutable, or isolated data. When two actors access mutable data at the same time, they may make conflicting modifications or the data may get corrupted, hence the compiler prevents the programmer from exchanging the data between actors if it is changeable. Data is protected by reference capabilities, and locks are not required to prevent concurrent data modifications. Lock-free concurrency improves performance.

Pony’s limitations include an unstable API, a dearth of high-quality third-party libraries, and an absence of native tools.

2. Dart
Dart is a Google-developed C-like language that adds type safety to the JavaScript syntax. It’s simple to convert to other languages, such as JavaScript, Java for Android, native machine code, or a standalone Dart virtual machine. And it may also function as a back-end processor. Developing event-driven user interfaces is a strength of Dart’s. Changes made by developers are immediately visible thanks to the hot reload command.

One member of the Dart team cited the language’s optional static types, lack of compile-time errors, and robust in-built editor as further benefits.

3. PureScript
PureScript is an entirely functional programming language that can be compiled into JavaScript. PureScript, which is most like Haskell, is ideal for use in creating online applications and server-side software. Haskell-like features include the usage of algebraic data types, pattern matching, and type classes.

Types in PureScript are both expressive and inferable, therefore the language needs fewer explicit annotations than many others. Its ability to communicate with other languages aimed at targeting JavaScript is one of its greatest assets.

4. F#
Open-source and platform-independent, F# is a combination of general-purpose and functional programming languages. F# is favoured by many developers since it is just as easy to learn as Python while providing a smoother experience than C# and Java. One possible reason for this is that the language does not need developers to worry about explicitly stating the type of an object by using semicolons, curly brackets, and other symbols. So, working with F# makes it simpler to do tasks like list processing and implementing complicated type definitions.

Because it is a hybrid language, F# can work with many other types of systems, such as databases, webpages, and .NET entities. The robust type system of the programming language allows designers to work with confidence, knowing that their work will be error-free regardless of the parts they’re using. F continued #’s popularity can be attributed to its ease of use and adaptability in a variety of contexts.

5. Crystal
Crystal is an object-oriented programming language that borrows heavily from Ruby’s brief syntax, making it an excellent choice for Ruby programmers. The static nature of the language also facilitates its ability to detect and prevent programming mistakes at an earlier stage. With this enhancement, teams won’t have to worry about wasting time and money fixing runtime errors like missing null references.

Crystal’s built-in type inference eliminates the need for developers to constantly specify the programming language being used. Crystal’s fibre technology enables developers to multitask and do more simultaneous computations without exhausting system memory.

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