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MODERN CODING LANGUAGES

Modern coding languages are widely used in various services and applications across different industries. Here are some of the popular modern coding languages and the services they are commonly associated with

JavaScript: Front-end web development, interactive web applications, browser-based games, server-side development (Node.js), cross-platform mobile app development (React Native, Ionic).

Python: Web development (Django, Flask), data science and machine learning (NumPy, Pandas, TensorFlow, PyTorch), automation and scripting, backend development, scientific computing, and artificial intelligence.

Java: Enterprise-level applications, web development (Spring framework), Android app development, backend development, large-scale distributed systems.

C# (C-Sharp): Windows application development, game development (Unity), web development (ASP.NET), and backend services.

Swift: iOS and macOS app development, server-side development (Vapor), Swift for TensorFlow.

Kotlin: Android app development (officially supported by Google for Android), backend development (using frameworks like Ktor), and cross-platform development (with Kotlin Multiplatform).

Go (Golang): Backend development, microservices, cloud-native application development, network programming, and container orchestration.

Ruby: Web development (Ruby on Rails), scripting, automation, prototyping.

Rust: Systems programming, performance-critical applications, web assembly (Wasm), and networking applications.

TypeScript: Front-end development (especially with frameworks like Angular), enhancing JavaScript with static typing, and large-scale JavaScript applications.

PHP:Web development (especially server-side scripting), content management systems (WordPress, Drupal), and e-commerce platforms.

SwiftUI (Swift for UI):Building user interfaces for iOS, macOS, watchOS, and tvOS applications.

These languages are versatile and can be used in various combinations to create comprehensive and scalable solutions for different domains and platforms. The choice of language often depends on the specific requirements of the project, developer preferences, and the target platform or service.