
Great Learning brings this Data Structures in C Session. C is a very flexible and well-established language thus making it the mother of all programming languages.

Comprehensive exploration of data structures, algorithms, and complexity, covering linked lists, hashes, trees, heaps, sorting techniques, and advanced topics like AVL and Red-Black trees.

Learn about priority queues, including min/max heaps, insertion, removal, and implementation, to enhance your data structure knowledge and coding skills.

Comprehensive exploration of Java data structures, from arrays to graphs, with practical implementations and in-depth explanations of key concepts like trees, heaps, and hash tables.

Explore .NET C# heap structure, generations, object allocation, and optimization techniques in this deep dive, enhancing your understanding of memory management for improved performance.

Explore memory management in Rust through boxes, heaps, and stacks. Learn how Rust's compiler guides programmers in handling pointers and memory allocation efficiently.

Implement dynamic memory management and heap functionality in a custom operating system, including new and delete operators for efficient memory allocation.

Comprehensive tutorial on heap data structure, priority queues, and heapsort algorithm, covering theory and practical coding examples for coding interviews and data structure knowledge.

Explore advanced PHP data structures beyond arrays, including SPL and extensions, to optimize code performance and efficiency in complex applications.

Explore cache-friendly data structures and algorithms for improved performance. Learn tools and techniques to analyze and optimize cache efficiency in modern CPUs.

Learn to manage threads in Zephyr RTOS, covering stack and heap usage, thread creation, message queues, and practical implementation for efficient embedded system development.

Learn to insert and delete nodes in min and max heap trees efficiently, with a focus on time complexity and maintaining heap properties. Includes code explanation for practical implementation.

Explore Go's memory management: strengths, weaknesses, and pitfalls. Gain insights for efficient programming and optimal performance.