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Data Structures & Memory Management

Jun 18, 2025

Overview

This lecture is an introduction to a Data Structures and Algorithms course aimed at placement preparation, covering core concepts, prerequisites, and foundational memory management in C/C++.

Course Structure & Prerequisites

  • Focuses on topics most relevant for placement and interview preparation.
  • The primary programming languages are C and C++, but basic knowledge of Java is also acceptable.
  • C is recommended for its β€œbare bones” approach to data structures and memory.
  • Notes and PDF resources will be provided.

What are Data Structures?

  • Data structures are ways to arrange data in main (RAM) memory for efficient usage.
  • Examples include arrays, linked lists, stacks, queues, graphs, and binary search trees.
  • Data structures serve as ingredients for developing efficient algorithms.

What are Algorithms?

  • An algorithm is a sequence of steps to solve a given problem.
  • Example: Steps to make tea or sort an array (turning [1, 7, 9, 2] into [1, 2, 7, 9]).
  • Algorithms can be implemented in C, C++, Java, or Python (but C/C++ is preferred for placements).

Related Concepts: Database, Data Warehouse, Big Data

  • Database stores information permanently on disk for fast retrieval, update, and deletion.
  • Data warehouse is for managing and analyzing large amounts of "legacy" (older or archived) data.
  • Big Data involves specialized techniques for processing extremely large datasets, beyond the scope of this course.

Memory Layout in C Programs

  • When a C program runs, code and variables are loaded into RAM.
  • Code segment: Holds the program code.
  • Static/global segment: Stores static and global variables.
  • Stack: Stores local variables and function call information (activation records).
    • Each function call creates a new stack frame, which is destroyed when the function returns.
  • Heap: Allows dynamic memory allocation during runtime, managed with pointers.
    • Memory is allocated using malloc (C) or new (C++), and must be freed after use to prevent memory leaks.

Stack vs Heap Usage

  • Stack is for fixed, short-lived variables tied to function calls.
  • Heap is for dynamic, flexible memory allocation, useful when size or lifespan is not known in advance.
  • Improper use of heap can cause memory leaks if memory is not freed.

Key Terms & Definitions

  • Data Structure β€” A method to organize data in main memory for efficient operations.
  • Algorithm β€” A step-by-step procedure to solve a specific problem.
  • Database β€” Permanent storage system for efficient data retrieval and modification.
  • Data Warehouse β€” Storage and management of massive, often older, datasets for analysis.
  • Big Data β€” Field dedicated to managing and analyzing extremely large datasets.
  • Stack β€” Memory area managing local variables and function calls.
  • Heap β€” Memory area for dynamically allocated variables.
  • Pointer β€” Variable that stores a memory address, used for dynamic memory management.
  • Memory Leak β€” Failure to properly release heap memory, causing wasted resources.

Action Items / Next Steps

  • Review the provided notes and PDF resources.
  • Watch the "C++ in One Video" and the 15-hour C tutorial if unfamiliar.
  • Prepare for the next lecture on time complexity.