How do typed and dynamic languages compare in terms of performance?

How do typed and dynamic languages compare in terms of performance?

Typed languages, like Java or C++, often have better performance due to compile-time type checking and optimizations. Dynamic languages, like Python or JavaScript, offer flexibility but can be slower because types are checked at runtime.

Can you give examples of scenarios where one might be preferred over the other?

Sure! Typed languages are preferred in large-scale applications where performance is critical, while dynamic languages are great for rapid prototyping and smaller projects due to their ease of use.

What about the impact on development speed?

Dynamic languages typically allow for faster development cycles because they require less boilerplate code and enable quick iterations. Typed languages may slow down development due to the need for explicit type definitions.

Are there any tools to help with performance in dynamic languages?

Yes, there are tools like Just-In-Time (JIT) compilers and performance profilers that can help optimize dynamic languages, improving their execution speed.