The Best Programming Languages to Learn in 2024

best programming languages to learn

The world of technology is ever-evolving, and the landscape of programming languages is no different. As we find ourselves in 2024, certain languages have garnered particular attention due to their relevance in emerging industries, applications, and the job market. Here’s a round-up of the best programming languages to consider learning this year.

1. Python

Why it’s relevant: Python continues to dominate a broad spectrum of applications, from web development and machine learning to scientific computing.

Notable use cases: Artificial intelligence (AI), data science, automation, web apps (via frameworks like Django and Flask).

2. Rust

Why it’s relevant: Touted for its memory safety features, Rust has been steadily gaining traction for system-level programming.

Notable use cases: Operating systems, game engines, and other performance-critical applications.

3. JavaScript (and TypeScript)

Why it’s relevant: JavaScript remains the cornerstone of web development, with TypeScript enhancing scalability with static typing.

Notable use cases: Web development (React, Vue, Angular), server-side development (Node.js), mobile apps (React Native).

4. Kotlin

Why it’s relevant: As the officially supported language for Android app development, Kotlin has also expanded its reach to server-side and web development.

Notable use cases: Android apps, web applications (via Kotlin/JS), server-side development (Ktor).

5. Go (or Golang)

Why it’s relevant: Created by Google, Go offers simplicity and strong support for concurrent programming.

Notable use cases: Cloud infrastructure, microservices, networking tools.

6. Swift

Why it’s relevant: Swift remains the primary language for iOS and macOS application development.

Notable use cases: iOS apps, macOS apps, server-side development (via SwiftNIO).

7. Dart (with Flutter)

Why it’s relevant: Dart, particularly when paired with the Flutter framework, has emerged as a strong contender for cross-platform mobile app development.

Notable use cases: Mobile apps (iOS, Android), web apps.

8. Julia

Why it’s relevant: Julia has been on the radar for those focused on data science, machine learning, and scientific computing, thanks to its high performance.

Notable use cases: Machine learning, data manipulation, scientific simulations.

9. WebAssembly (Wasm)

Why it’s relevant: Not a programming language in the traditional sense, WebAssembly is a binary instruction format that enables high-performance execution in web browsers.

Notable use cases: Web applications, game development, online multimedia tools.

10. Solidity

Why it’s relevant: As the primary language for Ethereum smart contracts, Solidity remains crucial for anyone diving into blockchain development.

Notable use cases: Smart contracts, decentralized applications (DApps).

The Best platforms to Learn Programming Languages in 2024: A Close Look at Udemy, Pluralsight, Coursera, and Codecademy

With the vast demand for digital skills in 2024, several online platforms have risen to the forefront, offering comprehensive courses on the hottest programming languages. Here’s an analysis of four major players: Udemy, Pluralsight, Coursera, and Codecademy.

1. Udemy

  • Strengths:
  1. Wide Range of Courses: Udemy boasts an extensive library with courses on virtually every programming language.
  2. User-Generated Content: Instructors from around the world can create and sell courses, leading to a rich diversity of teaching methods and perspectives.
  3. Regular Discounts: Udemy frequently offers courses at significant discounts, making it affordable.
  • Best for: Those who want to learn at their own pace, seeking courses from a variety of instructors with real-world experience.
  • Languages Covered: Virtually all, including Python, JavaScript, Rust, and more.

2. Pluralsight

  • Strengths:
  1. Depth and Quality: Pluralsight courses often delve deeper into topics, ideal for intermediate to advanced learners.
  2. Skill Assessments: Features built-in assessments to gauge your proficiency and guide your learning journey.
  3. Paths and Roles: Offers structured learning paths tailored to specific roles, like web developer or data scientist.
  • Best for: Professionals or those who already have foundational knowledge and want to dive deeper into a topic.
  • Languages Covered: Comprehensive coverage of mainstream languages and industry-specific tools, such as Kotlin, Go, Swift, and more.

3. Coursera

  • Strengths:
  1. University Partnerships: Collaborates with top universities and institutions globally, offering courses, specializations, and even degrees.
  2. Peer-reviewed Assignments: Many courses include peer-reviewed assignments for hands-on practice.
  3. Accreditation: Some courses offer legitimate certification upon completion, recognized in the industry.
  • Best for: Individuals aiming for structured learning, seeking accreditation or even degrees in computer science or specific technologies.
  • Languages Covered: Broad spectrum, with special emphasis on languages and tools prominent in academia and research, such as Python for data science or Julia.

4. Codecademy

  • Strengths:
  1. Interactive Learning: Codecademy’s platform is highly interactive, providing instant feedback as you code.
  2. Structured Paths: Offers “career paths” tailored to specific jobs like full-stack developer or data analyst.
  3. Community and Forums: Active community forums allow learners to interact, ask questions, and share resources.
  • Best for: Beginners and those who prefer a hands-on, interactive approach to learning.
  • Languages Covered: Core languages crucial for web development like JavaScript and Python, and trending languages like Go and Kotlin.


Each of these platforms has its unique strengths and caters to different learning styles. Whether you’re a beginner seeking interactive lessons or a professional aiming for deeper insights and certification, there’s a platform tailored for you. Explore, experiment, and find the one that aligns best with your learning goals in 2024!

Closing Thoughts:

When choosing a programming language to learn, it’s crucial to align with both your personal interests and the industry’s demand. While the above languages are notable for 2024, always keep an eye on emerging trends, platforms, and technologies that may shift the landscape in the coming years. Remember, the best programming language often depends on the problem you’re aiming to solve!

Which language is best for beginners?

Python remains a top choice for beginners due to its simplicity, readability, and versatility. It offers a gentle learning curve while still being powerful enough for advanced applications.

Is Java still relevant in 2024?

Yes, Java continues to be relevant, especially in enterprise applications, Android app development (though Kotlin is now preferred), and large-scale backend systems.

What’s the best language for web development in 2024?

JavaScript, complemented by TypeScript for larger projects, remains essential. Frameworks like React, Vue, and Angular enhance its capabilities for front-end, while Node.js is a strong choice for the backend.

Are traditional languages like C and C++ still worth learning?

Absolutely. C and C++ are foundational and are still used in system programming, game development, and scenarios where performance is crucial. Learning them can also provide a deeper understanding of how computers work.

How has the rise of quantum computing affected the programming landscape?

Quantum computing is still in its nascent stages but has led to the emergence of specialized languages and tools like Q# from Microsoft. While not mainstream yet, those interested in cutting-edge tech might want to explore this realm.

Is there a programming language tailored for AI and machine learning?

Python is the dominant language in the AI and ML space due to libraries like TensorFlow, PyTorch, and scikit-learn. However, Julia is also gaining traction for certain computational tasks.

With the growth of the metaverse, is there a specific language emerging as a leader?

The metaverse is a blend of various technologies. While VR and AR components might leverage C# (thanks to Unity) or C++ (Unreal Engine), decentralized components might use languages like Solidity for blockchain interactions.

How do I keep up with the ever-evolving programming landscape?

Regularly follow tech news, attend conferences (virtually or in-person), participate in online coding communities, and always be open to learning. The tech field thrives on change, and adaptability is key.

Which platform is best for a complete beginner who wants a structured path in programming?

While all the platforms cater to beginners in their own way, Codecademy stands out for its interactive lessons and structured “career paths.” These paths guide learners from basics to job-ready skills in areas like web development or data analysis.

I’m looking for accredited courses that can add value to my professional credentials. Which site should I opt for?

Coursera is a top pick for those seeking accredited courses. Thanks to their partnerships with leading universities and institutions, many of their courses offer certifications upon completion that are recognized in the industry. Some even provide the opportunity to earn full degrees in subjects like computer science.

I’ve some foundational knowledge and want to dive deeper into advanced topics. Which platform should I consider?

Pluralsight is well-regarded for its depth and quality of content, making it an excellent choice for those with some prior knowledge. Their courses, tailored to specific roles and advanced topics, provide comprehensive insights into various programming languages and tools.

Considering the dynamic nature of technology, these FAQs and their answers offer a snapshot of 2024’s context. As with all tech advice, it’s essential to stay updated with the latest shifts and trends in the industry.


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