JavaScript, Dynamic vs Static Typing

What is meant by Dynamic vs Static Typed programming language?
Answer: Dynamic and static typing are two different approaches to type checking in programming languages. Here’s an explanation of each:In a statically typed language, type checking is performed at compile time. This means that the types of variables are known and checked before the code is run. Examples of statically typed languages include Java, C, and Swift.- Explicit Type Declaration: Variables must be declared with a specific type, which cannot change.
- Compile-Time Checking: Type errors are caught during compilation, before the program runs.
- Performance: Generally, statically typed languages can be faster because type information is known at compile time, allowing for optimizations.
- Safety: Reduced risk of type errors at runtime because they are caught early in the development process. java
int number = 5; // Declares an integer variable
number = "Hello"; // Compile-time error: incompatible types
In a dynamically typed language, type checking is performed at runtime. This means that variables can be bound to objects of different types during the execution of the program. Examples of dynamically typed languages include Python, JavaScript, and Ruby.- Implicit Type Declaration: Variables do not have a fixed type and can be reassigned to different types.
- Runtime Checking: Type errors are caught at runtime, which can lead to runtime exceptions if not properly handled.
- Flexibility: More flexible and quicker to write, as you don't need to declare types explicitly.
- Potential for Runtime Errors: Higher risk of encountering type-related errors during execution. python
number = 5 # number is an integer
number = "Hello" # now number is a string, no error
print(number)
- Static Typing: Types are known and checked at compile time. Offers safety and performance advantages, but can be less flexible and more verbose.
- Dynamic Typing: Types are checked at runtime. Offers flexibility and ease of use, but can lead to runtime errors and potentially less optimized performance.