Programming languages provide a way for developers to communicate with computers and tell them what to do.
This enables developers to build many types of applications. Frameworks advance the developer experience by abstracting
away complexities in building applications, making it easier for developers to work with the underlying technology.
Each programming language has its own advantages and disadvantages. For example, Python emphasizes readability and ease of use, making it suitable for diverse applications, while C++ offers performance and control, often favored in systems programming.
The choice should align with project goals, scalability needs, and the developer community, recognizing that there's no one-size-fits-all language. Balancing trade-offs and understanding the nuances ensures a better match between language and project demands.
| Application | Appropriate languages |
| Microservices | Quarkus, Node.js, Go, Python, Perl |
| User interfaces | JavaScript, .NET |
| Data processing | Java, Rust, C, Go |
| Machine learning | Python, R, Scala |
|
Low-resource applications (IoT, edge devices) |
C, Go, Java, Rust |
Python is a popular programming language for data science, machine learning, and web development.
Rust is a high-level, general-purpose programming language popular for its speed, memory, and safety.
JavaScript is a ubiquitous full-stack language — use it for enterprise web applications and see how it works hand in hand with Kubernetes.
PHP is a server-side scripting language that lets developers create database-friendly content and powerful web-based applications.
Kotlin is an open-source, object-oriented programming language with type inference, which allows developers to be more concise with their syntax.
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