
Explore basic data structures by defining an abstract data type and introducing stack, queue, and linked list, along with their operations and implementation considerations.
Explore abstract data types as theoretical models describing data properties and operations; data structures implement these abstractions, using integers to illustrate addition, subtraction, multiplication, division, and the divide-by-zero constraint.
Define how a data structure organizes memory for efficient access, implements an abstract data type, and enables operations like searching and sorting with index-based access examples.
Explore the stack data structure as a last-in, first-out collection. Learn push and pop operations performed from the top of the stack, illustrating abstract data type behavior.
Learn how to push an element onto a stack by adding it on top and updating the top pointer in an array-based implementation, including overflow and initialization notes.
Learn how to perform a pop on a stack by removing the top element, returning the value, and updating the top pointer. Recognize underflow when the stack is empty.
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Learn how a queue stores objects, adds new items to the back, and removes items from the front, delivering first-in, first-out ordering with enqueue and dequeue operations.
Enqueue elements by incrementing the back pointer and storing the new value, initializing the front and back pointers on the first element, and note how a full queue blocks enqueues.
Learn how to dequeue on a queue by removing the front element, returning its value, and advancing the front pointer. Recognize empty-queue conditions when the front surpasses the back.
Explore data structures concepts and singly linked list implementation through a full stack Java developer course; unlock ongoing access with a single subscription plan.
Explore how linked lists store data as nodes linked by next pointers, with a head to traverse the sequence. Learn key operations: traverse, append, prepend, insert, and delete.
Linked lists are stored non-contiguously in memory, with each node holding data and a next pointer. A head pointer accesses the first node, and the last node points to NULL.
Traverse a linked list from head along each node's next pointer, since there is no random access; preserve access by copying the head pointer and stop when next is null.
Append a node to a singly linked list by creating a node, traversing to the last node, and linking its next to the new node.
Learn how to prepend a node to a linked list. Create a new node, point it to the first node, and move the head to the new node.
Learn how to insert a new node at an arbitrary position in a singly linked list by traversing to the preceding node and updating next pointers.
Learn to delete a node in a singly linked list by linking the preceding node to the next node and adjusting the head when removing the first element.
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Explore singly linked lists by modeling nodes with data and a link, using a start pointer to the first node, and implementing create, display, insert, and delete operations.
Allocate memory for the first node, copy the user data into it, and set the head pointer to this new node, establishing the initial link for the singly linked list.
Explore how to implement a singly linked list display function: traverse nodes by following next pointers until null, handle empty lists, and print each node's data.
Explore inserting nodes at the end of a singly linked list, including setup of the end pointer, memory allocation, and updating head and tail references to support end insertions.
Learn how to insert a new node at the beginning of a singly linked list by creating the node, copying data, and updating the link to the current first node.
Insert a new node at a specified position in a singly linked list, updating next pointers to place it between existing nodes, demonstrated with 1 2 3 4.
Delete the first node of a singly linked list by updating head to the second node, using a temporary variable to store the first address, and freeing the first node.
Delete the end node of a singly linked list with two pointers; move to the last two nodes, set the second-last’s link to null, and free the last node.
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Data structure is a particular way of storing and organizing information in a computer so that it can be retrieved and used most productively.
Different data structures are meant for different applications, and some are highly specialized for specific tasks.
Data structures are important for the following reasons:
1. Data structures are used in almost every program or software system.
2. Specific data structures are essential ingredients of many efficient algorithms and make possible the management of huge amounts of data, such as a large integrated collection of databases.
3. Some programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design.
The course aims to teach basic data structures in computer programming. The data structures taught in the course will include Stack, Queue, and Linked List using the C programming language. The primary goal is to make students visualize how different data structures work. You should take this course if you have just learned to program and want to learn how different data structures work. This course will give you enough conceptual knowledge to help you proceed with the implementation of data structures yourselves.
Course Topics
Stack
Queue
Linked List
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