Data Types

What are Data Types in Python Programming?

Data types in Python programming language refer to the category of data that a variable or function stores. Python supports various types of data, and each data type has different methods for performing operations or manipulating the data. It is essential to understand the different data types in Python to write efficient and effective programs.

Python Built-in Data Types

Python has several built-in data types, including:

  • Numbers
  • Strings
  • Lists
  • Tuples
  • Dictionaries
  • Sets
  • Boolean

Numbers

Python supports three types of numbers, including:

  • Integers (int)
  • Floating-Point Numbers (float)
  • Complex Numbers (complex)

Integers are whole numbers, while float represents decimal numbers. Complex numbers are written in the form a+bj, where a and b are real numbers, and j is an imaginary number.

Strings

Strings are a collection of characters enclosed in single or double quotes. Python supports several methods for manipulating strings, including:

  • len() – returns the length of the string.
  • strip() – removes white spaces from both ends of the string.
  • lower() – returns the string in lowercase.
  • upper() – returns the string in uppercase.
  • replace() – replaces a character or substring with another character or substring.

Lists

Lists are a collection of values separated by commas enclosed in square brackets. Lists can have elements of different data types, and they can be accessed by their index.

my_list = [1, "two", 3.0, "four"]
print(my_list[0])

The above code snippet will output 1, which is the first element of the list.

Tuples

Tuples are similar to lists, but they are enclosed in parentheses instead of square brackets. The main difference between tuples and lists is that tuples are immutable, meaning that their values cannot be changed after creation.

my_tuple = (1, "two", 3.0, "four")
print(my_tuple[1])

The above code snippet will output "two", which is the second element of the tuple.

Dictionaries

Dictionaries are a collection of key-value pairs enclosed in curly braces. Each key must be unique and is used to access its corresponding value.

my_dict = {"name": "John", "age": 28, "city": "New York"}
print(my_dict["name"])

The above code snippet will output "John", which is the value associated with the key "name".

Sets

Sets are a collection of unique values enclosed in curly braces. They are primarily used for mathematical operations such as union, intersection, and difference.

my_set = {1, 2, 3, 4, 5}
print(my_set)

The above code snippet will output {1, 2, 3, 4, 5}, which is the set of values enclosed in curly braces.

Boolean

Booleans have only two possible values: True and False. They are primarily used for logical operations such as conditional statements and loops.

x = 10
y = 5
print(x > y)

The above code snippet will output True, which is the result of the logical operation x > y.

Conclusion

Data types in Python are essential for storing and manipulating data efficiently and effectively. Python has several built-in data types, including numbers, strings, lists, tuples, dictionaries, sets, and booleans. It is essential to understand the different data types and their methods for performing operations to write effective programs.

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