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Home » Top 10 Backend Programming Languages to Learn in 2023
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Top 10 Backend Programming Languages to Learn in 2023

Sky MagzinesBy Sky MagzinesAugust 28, 2023No Comments7 Mins Read
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The top backend programming languages to learn in 2023 are growing in popularity

A programmer like you utilizes backend programming languages to develop internal systems that operate in the foreground of a web application. The pay for backend developers is excellent, and they are in high demand.

Anywhere along your coding path, it’s a good idea to have some background in backend programming. Being skilled in backend development gives you the best chance of success as a newbie. Knowing that learning never stops is certainly common knowledge whether you work in programming or development. Every year, new backend programming languages are created, while older ones are modified or dropped. Knowing the top backend programming languages is a wonderful idea. In this article, we have enlisted backend programming languages to learn in 2023.

Python

Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. It was created in the late 1980s by Guido van Rossum and has since become one of the most popular programming languages. Python is widely used for web development, scientific computing, data analysis, artificial intelligence, and more. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.

Java

Java is an object-oriented, class-based, and concurrent programming language. It was developed by James Gosling at Sun Microsystems (which has since merged into Oracle Corporation) in the mid-1990s. Java is used to build a wide range of applications, including desktop, mobile, web, and enterprise applications. It is known for being platform-independent, meaning that Java code can run on any device that has a Java Virtual Machine (JVM) installed, regardless of the underlying architecture. Java is also widely used for building server-side applications, financial systems, and large-scale data processing systems.

JavaScript

JavaScript is a high-level, interpreted programming language that is primarily used to create interactive and dynamic web pages. It was developed by Brendan Eich in the mid-1990s and is primarily used on the front-end of web development (client-side), but can also be used on the server-side using technologies such as Node.js. JavaScript is an object-oriented, imperative, and functional programming language, and it is known for its ability to manipulate HTML and CSS, making it an essential tool for web developers. It is supported by all major web browsers and is a popular language for building dynamic web applications, browser extensions, and mobile apps.

PHP

PHP is a server-side scripting language used for developing dynamic web pages. It was created in the mid-1990s by Rasmus Lerdorf and has since become one of the most widely-used languages for web development. PHP is particularly well-suited for building content management systems (CMS), e-commerce websites, and online forums. It is integrated with HTML, CSS, and JavaScript, and can be used with various databases such as MySQL, MariaDB, and PostgreSQL. PHP is open-source and runs on a variety of platforms, including Linux, Windows, and macOS.

Ruby

Ruby is a dynamic, interpreted, and object-oriented programming language. It was created in the mid-1990s by Yukihiro “Matz” Matsumoto and is known for its simplicity and elegance. Ruby is used for a variety of purposes, including web development, automation, and scientific computing. It is often used for building web applications with the Ruby on Rails framework, which provides a structure for building web applications quickly and efficiently. Ruby is also popular for building command-line tools and scripts, as well as for prototyping and experimenting with new ideas. Its syntax is designed to be intuitive and expressive, making it a joy to read and write.

Go

Go, also known as Golang, is a statically-typed and concurrent programming language developed by Google in 2007. It is designed to be fast, efficient, and scalable, making it well-suited for large-scale networked systems and cloud environments. Go has a syntax that is simple, clean, and easy to learn, and its standard library provides extensive support for various network protocols, encryption, and concurrency. Go is also well-known for its garbage-collected runtime and its fast and efficient built-in support for concurrency, making it a popular choice for building high-performance systems such as web servers, proxies, and other network-based applications.

SQL

SQL (Structured Query Language) is a domain-specific language used for managing and manipulating relational databases. It is used to insert, retrieve, update, and delete data stored in relational databases. SQL is the standard language for interacting with relational databases and is used by a wide range of database management systems, including MySQL, PostgreSQL, Oracle, and Microsoft SQL Server. SQL is a declarative language, meaning that users specify what they want to do with data, and the database management system figures out how to do it. This makes it easy to write simple and complex queries to retrieve, aggregate, and manipulate data stored in relational databases.

C#

C# is an object-oriented, modern and type-safe programming language developed by Microsoft as part of its .NET initiative in the early 2000s. C# is designed to be easy to learn and use, and it has a syntax that is similar to other popular programming languages such as Java and C++. It is used for developing a wide range of applications, including Windows desktop applications, mobile apps, video games, and web applications. C# is also widely used for building enterprise-level applications, financial systems, and cloud-based solutions. It supports multiple programming paradigms, including imperative, functional, and object-oriented programming, and it integrates with the .NET framework, providing a large library of pre-built classes and components.

Perl

Perl is a high-level, interpreted, and dynamically-typed programming language. It was created in the late 1980s by Larry Wall and has since become a popular language for system administration, network programming, web development, and more. Perl is known for its powerful string handling capabilities and its regular expression support, which make it a popular choice for text processing tasks. It is also highly modular, with a large number of libraries and modules available for use, making it easy to add new functionality to a Perl program. Perl has a flexible and dynamic syntax, making it easy to write code quickly and efficiently, and it is often used for quick prototyping and for solving complex problems. Despite its age, Perl remains a widely-used language, particularly for system administration and web development, and it continues to have a strong and active community of users and developers.

Kotlin

Kotlin is a cross-platform, statically-typed, and concise programming language that runs on the Java Virtual Machine (JVM). It was developed by JetBrains in the mid-2010s and has since become one of the most popular programming languages for Android mobile development. Kotlin is fully interoperable with Java, allowing developers to use both languages in the same project, and it offers improved syntax and features compared to Java, making it easier to write, maintain, and test code. Kotlin is also a multi-paradigm language, supporting functional, object-oriented, and procedural programming styles. In addition to Android development, Kotlin is used for server-side development, desktop development, and data analysis. In May of 2017, Google announced that it would officially support Kotlin as a first-class language for Android development, and since then, it has become increasingly popular among Android developers.

Disclaimer: The information provided in this article is solely the author/advertisers’ opinion and not an investment advice – it is provided for educational purposes only. By using this, you agree that the information does not constitute any investment or financial instructions by Analytics Insight and the team. Anyone wishing to invest should seek his or her own independent financial or professional advice. Do conduct your own research along with financial advisors before making any investment decisions. Analytics Insight and the team is not accountable for the investment views provided in the article.

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