What are the 5 types of data in Python?
Table of Contents
Python has five standard Data Types:
- Numbers.
- String.
- List.
- Tuple.
- Dictionary.
What are examples of data types in Python?
Data types

Data Types | Examples | Explanation |
---|---|---|
Strings | “Hello!”, “23.34” | Text – anything between ” ” becomes string |
Integers | 5364 | Whole numbers |
Floats | 3.1415 | Decimal Numbers |
Booleans | True, False | Truth values that represent Yes/No |
What are the 7 data types in Python?
Built-in Data Types in Python
- Binary Types: memoryview, bytearray, bytes.
- Boolean Type: bool.
- Set Types: frozenset, set.
- Mapping Type: dict.
- Sequence Types: range, tuple, list.
- Numeric Types: complex, float, int.
- Text Type: str.
What are the 5 data types and examples?
Common examples of data types

- Boolean (e.g., True or False)
- Character (e.g., a)
- Date (e.g., 03/01/2016)
- Double (e.g., 1.79769313486232E308)
- Floating-point number (e.g., 1.234)
- Integer (e.g., 1234)
- Long (e.g., 123456789)
- Short (e.g., 0)
How many data types are in Python?
Python has six standard Data Types: Numbers. String. List. Tuple.
How many data types are there?
Most modern computer languages recognize five basic categories of data types: Integral, Floating Point, Character, Character String, and composite types, with various specific subtypes defined within each broad category.
What are the 4 data types in Python?
Python Data Types
- Numeric.
- Sequence Type.
- Boolean.
- Set.
- Dictionary.
What is list in Python with example?
List. Lists are used to store multiple items in a single variable. Lists are one of 4 built-in data types in Python used to store collections of data, the other 3 are Tuple, Set, and Dictionary, all with different qualities and usage.
What does type () do in Python?
The type() function in Python returns the data type of the object passed to it as an argument. This function is very useful in the debugging process​.
What is a Python data type?
Data types are the classification or categorization of knowledge items. It represents the type useful that tells what operations are often performed on specific data. Since everything is an object in Python programming, data types are classes and variables are instances (object) of those classes.