Python Data Types

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Python Data Types Explained : Simple Guide for Everyone


Python automatically figures out what kind of data you're working with. So you don't have to declare variable types. This makes Python powerful and beginner friendly.



What Is a Data Type?

A data type describes the kind of data a variable stores, such as numbers, text, true/false, and collections like lists or dictionaries.

For example: a = 5 → this is an integer
name = "Alice" → this is text (string)



1. Numeric Types

  • int: whole numbers (e.g. 5, 0, -10)
  • float: numbers with decimals (e.g. 3.14)
  • complex: special numbers (e.g. 1 + 2j)
print(type(5))       # <class 'int'>
print(type(3.14))    # <class 'float'>
print(type(1+2j))    # <class 'complex'>


2. Text Type - str

Strings store words or sentences, surrounded by quotes:

message = "Hello, World!"
print(message)

Great for text input, messages, file paths, etc.



3. Boolean Type - bool

These are True or False values. They are widely used for decision making:

is_raining = False
print(5 > 3)  # True


4. Sequence Types

List - changeable collection

fruits = ["apple", "banana"]
fruits.append("cherry")
print(fruits)

Tuple – fixed collection

point = (10, 20)
print(point[0])  # 10

Range – sequence of numbers

for i in range(3):
    print(i)  # 0, 1, 2

When to use? Use lists when you need to change items, tuples when data should stay the same, and range for loops.



5. Dictionaries - dict

Store information in pairs: key → value.

person = {"name": "Bob", "age": 25}
print(person["name"])  # Bob

Good for configuration or structured data like JSON.



6. Sets - set & frozenset

Sets hold unique items, automatically removing duplicates:

nums = {1, 2, 3, 2}
print(nums)  # {1, 2, 3}

A frozenset is like a frozen version (cannot change once created).



7. NoneType - None

Represents no value or missing data:

answer = None
if answer is None:
    print("Not answered yet")


Data Type Summary

TypeExampleChangeable?Use
int42NoCounting, IDs
float3.14NoMeasurements
complex1 + 2jNoScience/math
str"Hello"NoText data
boolTrue/FalseNoLogic checks
list[1,2,3]YesChangeable list
tuple(1,2,3)NoFixed list
rangerange(5)NoLoops
dict{"x":1}YesKey-value pairs
set{1,2,3}YesUnique items
frozensetfrozenset(...)NoImmutable set
NoneTypeNoneNoMissing value


✅ Final Thoughts

Learning Python’s data types like number, text, list, and dictionary is key to writing clear, efficient code. Python does the hard work by figuring out types automatically, but knowing what each type can do gives you more control and confidence.



Watch this video to see all data types in action:




Frequently Asked Questions (FAQ)


1. What are the main data types in Python?

Python’s main data types include numeric types (int, float, complex), text (str), boolean (bool), sequences (list, tuple, range), dictionaries (dict), sets (set, frozenset), and NoneType.

2. What is the difference between a list and a tuple?

Lists are mutable (can be changed), while tuples are immutable (fixed once created). Use lists when you need to modify elements and tuples when data should remain constant.

3. Can I store multiple types of data in a dictionary?

Yes. Dictionaries can store different types of data as values, as long as the keys are unique and immutable.

4. How is a frozenset different from a set?

A frozenset is immutable and cannot be changed after creation, whereas a regular set can be modified by adding or removing elements.

5. What is None used for?

None represents the absence of a value. It’s commonly used to initialize variables or indicate missing data.

6. Are booleans considered numbers?

Yes, in Python, True is equivalent to 1 and False is equivalent to 0, but they are mainly used for logical operations.



💡 Time to Take Action

If you found this guide helpful, make sure to:

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  • Watch the video above for a visual explanation of all data types
  • Try creating your own Python variables and data types to practice