10 Programming Languages That Will Make You Irresistible To Employers

The world of programming languages is complex and rapidly evolving. With new languages, frameworks, and tools emerging all the time, it can be challenging even for experienced developers to identify the top programming languages to learn right now. While stalwarts like Java, Python, and C++ continue to be popular and widely used, exciting new options like Go and Rust have gained significant traction in recent years. The field also continues to fragment across domains – with AI specialists focused on Python and R, while mobile developers dive deep into Kotlin and Swift.

So which are the most relevant, future-proof, and in-demand programming languages to learn in 2023? Here is a definitive guide to the top 10 options based on job opportunities, growth, salaries, and ease of learning for beginners.

Evergreen programming languages – Java, JavaScript, SQL

  • Java continues to be the backbone of enterprise software systems.
  • Provides object-oriented, robust, secure, and portable applications.
  • Ubiquitous across most industries – finance, healthcare, retail, etc.
  • Strong community support and abundant libraries.
  • JavaScript is the language of web development and browsers.
  • Allows building interactive frontends, and web apps.
  • Can also be used on servers via Node.js.
  • SQL is essential for accessing and manipulating databases.
  • Used for admin tasks and by developers to build applications.
  • Structured Query Language skills apply across roles.

Hottest for AI – Python, R

  • Python dominates in data science, machine learning, and AI.
  • Easier to learn syntax, and vast ML libraries like Pandas, NumPy, and Scikit-Learn.
  • Strong community, frameworks make Python the top choice for AI development.
  • R specializes in statistical analysis and visualization.
  • Rich set of packages for math/stat operations.
  • Popular for building ML models and productizing analytics.
  • Python and R complement each other for data roles.

Mobile app development – Kotlin, Swift

  • Kotlin is now Google’s preferred language for Android apps.
  • Interoperable with Java, but with a cleaner and concise syntax.
  • Swift powers the iOS ecosystem and Apple’s platforms.
  • Fast, interactive development for iPhone, iPad, and Mac apps.
  • Kotlin and Swift allow efficient native mobile app development for the two major platforms.
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Programming Languages

Systems programming – Go, Rust

  • Go excels at building robust infrastructure and networking systems.
  • Compiles fast, lightweight, simple but powerful capabilities.
  • Rust focuses on performance, security, and parallelism.
  • Zero-cost abstractions, no runtime or garbage collector.
  • Go and Rust are modern systems programming languages.

Most lucrative – Python, Java

  • Python and Java consistently top salary surveys.
  • This is driven by huge demand and a shortage of skilled talent.
  • Knowing Python means increased chances of data science roles.
  • Java backends and DevOps skills are needed across industries.
  • Solid Java knowledge is a ticket into well-paid fintech and software jobs.
  • Supply-demand and legacy codebases sustain pay premiums.

Frontend web development – JavaScript, TypeScript

  • JavaScript dominates front-end web development and powers dynamic websites.
  • Allows building responsive UIs, fetching data, and implementing logic in the browser.
  • Combined with HTML and CSS to create interactive web experiences.
  • TypeScript adds static typing and class-based OOP to JavaScript.
  • Enables large web apps with code readability, and maintainability.
  • JavaScript/TypeScript is essential for both front-end roles and full-stack developers.

Back-end web development – Node.js, PHP

  • Node.js is a popular JavaScript runtime for building web server apps.
  • Allows using JavaScript for full stack development.
  • Fast and scalable event-driven model.
  • PHP is a traditional choice for server-side web apps and backends.
  • Has evolved with better OOP support.
  • Powers many mature CMS platforms like WordPress.
  • Valuable options for backend roles.

Cross-platform development – React Native, Flutter

  • React Native allows building native iOS and Android apps with JavaScript and React.
  • Allows sharing of business logic across platforms.
  • Flutter uses Dart language for high-performance native app development.
  • Hot reload capability for faster iteration.
  • Reusable widgets and powerful tools.
  • React Native and Flutter simplify cross-platform development.

Most fun to learn – Python, Ruby

  • Python has simple and readable syntax and a gentle learning curve for beginners.
  • Dynamic typing and high interactivity make Python fun to learn.
  • Ruby was inspired by Perl, Lisp, and Python. Emphasis on programmer happiness.
  • Opinions and conventions reduce decision fatigue.
  • Expressive semantics make Ruby enjoyable to work with.
  • Python and Ruby make programming accessible and pleasurable.


Mastering the top programming languages opens up endless opportunities in today’s tech landscape. Evergreen languages like Python, Java, JavaScript, and SQL continue to be staples for lucrative roles. However exploring trendy options like Go, Rust, and Kotlin gives you an edge and skill versatility. Choose languages aligned with your specific career aspirations – AI, mobile, web systems, etc.

Complementary languages amplify value, as with Python and R for data. Regardless of path, focus on fundamentals, real-world projects, and community immersion. Programming skills must evolve constantly, so never stop learning. With expertise in the right languages, your developer career potential is unlimited.

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programming languages


Q: Which programming language is in demand for jobs?

A: Python, Java, and JavaScript are among the top in-demand programming languages for jobs currently based on employer needs.

Q: Which programming language is easiest to get a job?

A: Python is one of the easiest programming languages to learn and has abundant job opportunities, especially in data science and machine learning roles.

Q: Which language should I learn for a high salary?

A: Typically Java and Python programming skills attract the highest salaries in software engineering, data science, and related domains.

Q: Is Python enough to get a job?

A: Python alone may not be enough. Often knowledge of complementary languages like SQL, and JavaScript and skills in domains like machine learning are required.

Q: Which language do most startups use?

A: Many startups use Python, JavaScript, Go, and other modern languages. More traditional options like Java and C# are also common at enterprise startups.

Q: Can I learn coding on my own?

A: Yes, you can learn in-demand programming languages on your own through online courses, tutorial websites, and building projects.

Q: Is Python a dying language?

A: No, Python continues to grow in popularity and usage, especially in AI/ML. It is far from a dying language.

Golden Quotes:

“First, solve the problem. Then, write the code.” – John Johnson

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