_01_Intro.txt

# Definition:
  # Data structures refer to the methods of collecting and organizing data in a way that enables efficient access and modification. 
  # More than just a storage mechanism, they are tools that manage data dynamics and complexity in computer programming. 
  # From simple arrays to complex trees, data structures are pivotal in algorithm efficiency
# Key Points:
  # Purpose:
    # Data structures serve as the foundation for any software system.
    # They allow programmers to manage and process data effectively.
  # Optimization
    # The primary purpose of data structures is to optimize data storage and retrieval.
  # Common Types:
    # Arrays: A collection of elements with a fixed size.
    # Linked Lists: A sequence of nodes where each node points to the next one.
    # Stacks: A Last-In, First-Out (LIFO) structure.
    # Queues: A First-In, First-Out (FIFO) structure.
    # Trees: Hierarchical structures with nodes and edges.
    # Graphs: Networks of interconnected nodes.
  # Efficiency
    # Choosing the right data structure impacts algorithm efficiency.
# Remember, understanding data structures is fundamental for 
  designing efficient algorithms and optimizing software performance.

"Bad programmers worry about the code. Good programmers worry about data structures and their relationships."
Linus Torvalds