BCA / B.Tech 10 min read

Dynamic Typing

Dynamic Typing in Python:


Dynamic typing is an important programming concept which states that the data type of a variable is determined at runtime (during program execution). This makes programming simpler and more flexible because you do not need to decide in advance what type of data will be stored in a variable. In contrast, in static typing, the data type of a variable is decided in advance, and storing a different type of data will result in an error.

What is Dynamic Typing?
Dynamic typing means that when you assign a value to a variable, the program automatically recognizes the type of that variable. This means you do not need to declare the variable's type beforehand.

Features of Dynamic Typing:
  • Automatic Type Detection: The language automatically identifies the data type when a value is assigned.
  • Flexible Nature of Variables: The same variable can hold different types of values at different times.
  • Simplicity in Coding: It makes coding easier as you don't need to declare data types, resulting in shorter and cleaner code.
  • Type is Decided at Runtime: The data type is determined during program execution.

Advantages and Disadvantages of Dynamic Typing:
Advantages: Flexibility, less boilerplate code, rapid prototyping, and fewer initial type errors.
Disadvantages: Risk of runtime errors, potential performance issues, reduced code readability in large projects, and lack of type safety.

Dynamic Typing vs. Static Typing:
A comparison table highlights differences in type checking time (runtime vs. compile-time), flexibility, error detection, code verbosity, and performance.