Python
Python's simplicity and extensive libraries make it a powerful choice for backend development, data science, and AI. We use frameworks like Django and Flask to build secure and scalable web applications and APIs. Its readability and clear syntax improve code quality and maintainability.
Advantages
- Clean syntax and high readability.
- Vast libraries for data science, AI, and web dev.
- Strong community support.
Disadvantages
- Slower performance compared to languages like C++ or Java.
- The Global Interpreter Lock (GIL) limits true parallelism.
- Can be less suitable for mobile computing.
Frequently Asked Questions
Related Topics
Node.js
A JavaScript runtime built on Chrome's V8 engine, perfect for creating fast, scalable server-side applications and backend APIs.
C++
A general-purpose programming language providing high performance for system software, games, and complex applications.
PHP
A popular general-purpose scripting language that is especially suited to web development, powering millions of dynamic websites.
Ruby
A dynamic, open-source programming language with a focus on simplicity and productivity, known for its elegant syntax.
