Data Structures and Algorithms in C for Beginners

Explore asymptotic notation and big O, and learn how time complexity like O(1), O(n), O(log n), O(n^2), O(n^3), exponential, and factorial reveal algorithm efficiency.

Explore how arrays serve as a basic data structure to store and retrieve elements in C, with zero-based indexing, initialization rules (including partial initialization), and static memory implications.

See how the top variable tracks stack’s top element, starting at minus one to signal emptiness, and how push updates top for insertion while you can only access top element.

Learn how to reverse a string using a stack by pushing characters and popping them into an output string, illustrating the stack-based algorithm with push and pop.

Learn to reverse a string in C by using a stack: push each character, then pop to form the reversed output, with simple push and pop functions.

Check if parentheses are balanced by scanning the string, pushing opening parentheses onto a stack, popping on closing ones, ignoring operands, and ensuring the number of openings equals closings.

Trace the infix to postfix algorithm using a stack to manage operators and operands and parentheses, converting an input expression to postfix by left-to-right scanning.

Pointers store the address of a variable, not its value, enabling access to the value at that address with operators, and their type reflects the pointed-to data.

Define a node structure with data and a next pointer to form a linked list. Allocate memory for the start node with malloc and sizeof, using an external start pointer to traverse.

Create a simple linked list in c by defining a self-referential node with data and next, allocate nodes with malloc, link them, and print their data.

Learn how to insert a new node at end of a linked list in C by traversing to last node, linking the new node, and setting its next to null.

Learn how to delete a specific node in a linked list in C by locating the target, keeping the previous node, and linking its next to the following node.

Examine the main disadvantage of a linear queue: once full, freed space cannot be reused, causing a queue overflow. The video notes circular alternatives as a possible remedy.

Explore non-linear data structures, focusing on trees and graphs, with nodes and links as core elements; learn real-world examples like the file system and why non-linearity matters for interviews.

Learn data structures and algorithms with searching and sorting, including linear and binary search, traversal, and sorting techniques like bubble sort, insertion sort, and quicksort for ascending or descending orders.

Explore bubble sort, a simple ascending sort that compares consecutive elements and swaps them, iterating with outer and inner loops to sort the array.