Definition

Data structures in Python are ways of organizing and storing data so that it can be accessed and modified efficiently. Python provides several built-in data structures for different types of tasks. Some data types,

  • List
  • Tuple
  • Dictionary
  • Set

Examples

# List

My_list = [1, 2, 3, 4]

# Tuple

My_tuple = (1, 2, 3, 4)

# Dictionary

My_dict = {"name": "venkat", "age": 55}  

# Set

My_set = {1, 2, 3, 4}

 Features

  • Python provides a range of data structures.
  • Each data structure comes with built-in methods for manipulation
  • Most data structures, like lists and dictionaries, are dynamic

Advantages

  • Built-in data structures are easy to use
  • Data structures are optimized for performance, providing efficient storage
  • Different data structures can be used for different needs

Uses

  • Storing and organizing data for quick access and modification.
  • Efficiently solving computational problems
  • Handling large datasets efficiently

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