How do dynamically typed languages compare to statically typed languages?

How do dynamically typed languages compare to statically typed languages?

Dynamically typed languages determine variable types at runtime, while statically typed languages do so at compile time. This can lead to more flexibility in dynamically typed languages, but also more runtime errors.

What are some examples of dynamically typed languages?

Some popular dynamically typed languages include Python, JavaScript, and Ruby. They allow for more rapid development due to their flexibility.

What are the advantages of using statically typed languages?

Statically typed languages, like Java and C++, offer advantages such as early error detection, better performance, and improved code readability, which can be beneficial for large projects.

Can you give me a scenario where one is better than the other?

Sure! For quick prototyping, a dynamically typed language like Python is often better due to its simplicity. However, for large-scale applications where performance and maintainability are crucial, a statically typed language like Java might be preferred.

What about type safety in these languages?

Statically typed languages generally provide better type safety, as type errors are caught at compile time. Dynamically typed languages may lead to type-related errors at runtime, which can be harder to debug.