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Fundamental Data Structures
Boost your coding career with expertise in core Data Structures, essential for building high-performing applications. Learn the skills to solve problems and create efficient, scalable solutions.
Deep within the world of code
Arrays and Stacks hold secrets untold
Data flows like logic's stream
Queues line up, Trees branch out
Recent Posts
Common Graph Algorithms 2. Minimum Spanning Tree (MST): 3. Cycle Detection: 4. Topological Sorting: 5. Connected Components:...
Spanning Tree A spanning tree is a sub-graph of a graph (undirected & connected), which includes all the vertices of...
Graph Traversal Techniques Graph traversal involves visiting all the vertices and edges in a graph. Common traversal techniques include: 2...
Graph Representation Graphs can be represented in various ways: Matrix Representation: The adjacency matrix is a V×V table where: 2...
Types of Graphs 2. Weighted vs. Unweighted Graphs: 3. Cyclic vs. Acyclic Graphs: 4. Sparse vs. Dense Graphs: 5. Special...
Graphs in Data Structures and Algorithms (DSA) A graph is a non-linear data structure consisting of nodes (also called vertices)...
In today’s tech-driven world, artificial intelligence (AI) has become a powerful ally for developers, offering tools that generate code in...
A Priority Queue is a special type of queue in which elements are arranged based on their priority. Unlike a...
Circular Queue Using Array – Circular Queue in DSA C++ – Circular Queue Operations in Data Structure
A Circular Queue is a type of queue data structure where the last position is connected back to the first...