Readme.md

Data Structures

1. Introduction

1. Data Types - Explanation of different types of data in programming.
2. Reference Type - Understanding objects stored by reference.
3. Value Type - How value types store data directly in memory.
4. Storing Data in Computer Memory - Overview of how data is managed in memory.

2. Array

1. Introduction and Basic Concepts - Fundamentals of arrays and their importance.
2. Static Array - Arrays with fixed size and their characteristics.
3. Dynamic Array - Resizable arrays and how they manage memory.
4. Array Operations - Common operations like insertion, deletion, searching, and sorting.
5. Application Areas of Arrays - Practical applications of arrays in real-world scenarios.

3. Singly Linked List

1. Introduction and Basic Concepts - Understanding singly linked lists and their significance in data structures.
2. Node Structure - Explanation of the SinglyLinkedListNode class, which stores data and a pointer to the next node.
3. Singly Linked List Operations
   • Insertion - Adding elements at the beginning, end, or a specific position.
   • Deletion - Removing the first, last, or a specific node.
   • Traversal - Iterating through the linked list using an enumerator.
   • Searching - Finding a specific node in the list.
4. Memory Management in Singly Linked Lists - How nodes are dynamically allocated and deallocated.
5. Application Areas of Singly Linked Lists - Practical uses in software development, such as queue implementations, undo features, and memory-efficient data storage.

4. Stack

1. Introduction and Basic Concepts

   • Understanding the LIFO (Last-In, First-Out) principle that defines a stack.
   • Real-world analogies like a stack of plates or books.
   • Importance in algorithm design and memory management.

2. Stack Structure

   • Explanation of the internal structure of a stack.
   • Common implementations using arrays and linked lists.
   • Core components: push, pop, peek, and isEmpty operations.

3. Stack Operations

   • Push - Adding an element to the top of the stack.
   • Pop - Removing the top element from the stack.
   • Peek (or Top) - Viewing the top element without removing it.
   • IsEmpty - Checking if the stack is empty.
   • Size - Getting the number of elements in the stack.

4. Memory Management in Stack

   • Stack memory allocation and deallocation.
   • Call stack usage during function execution.
   • Stack overflow issues and limitations in memory-constrained environments.

5. Application Areas of Stacks

   • Function call management in programming languages (call stack).
   • Expression evaluation and syntax parsing.
   • Backtracking algorithms (e.g., maze solving, undo operations).
   • Depth-First Search (DFS) in graph traversal.