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  1. Data Structures are specialized ways of organizing and storing data so it can be accessed and modified efficiently. They are the foundation for building efficient software, as the right structure can drastically reduce time and space complexity. Common categories include:

    • Linear structures: Arrays, Linked Lists, Stacks, Queues.

    • Non-linear structures: Trees, Graphs, Tries, Heaps.

    Algorithms are step-by-step procedures for solving problems or performing computations. They operate on data structures to manipulate, search, sort, or optimize data. Efficiency is measured using time complexity and space complexity, often expressed in Big O notation.

    Example: Stack Implementation in Python

    class Stack:
    def __init__(self):
    self.items = []

    def push(self, item):
    self.items.append(item) # O(1)

    def pop(self):
    return self.items.pop() if not self.is_empty() else None # O(1)

    def peek(self):
    return self.items[-1] if not self.is_empty() else None # O(1)

    def is_empty(self):
    return len(self.items) == 0

    def size(self):
    return len(self.items)

    # Usage
    stack = Stack()
    stack.push(10)
    stack.push(20)
    print(stack.pop()) # 20
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  1. DSA Introduction - W3Schools

    Data Structures is about how data can be stored in different structures. Algorithms is about how to solve different problems, often by searching through and …

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    Posted on Nov 18, 2025 in Computers. A data structure is a specialized way of organizing, storing, and managing data in a computer to enable efficient access, manipulation, and operations. It defines how …

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  10. 1.2 What Is an Algorithm - Hello Algo

    Data structures provide algorithms with structured storage of data and methods for operating on data. Algorithms breathe life into data structures. Data structures …