Data Structures Notes: Anything that can store data is called Data Structure. There are two types of data structures. One is a primitive data structure, and another is an abstract data structure. Data structures help us to perform various operations on data. Data structures store the ordered data so that different kinds of operations can be performed easily. In this article, you will get complete details about the data structure reference books, study materials, and Lecture Notes.
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Introduction to Data Structures Notes
The data structure is the process in which ordered data is collected and organised in such a way that we can perform various kinds of operations with this data efficiently. For example, if we have some data, which has the player’s name ‘Messi’ and age ’31’, Messi is the string data type, and 31 is the integer data type. The data structure is the process of organising the knowledge of data in memory. The data structure is done in a way that reduces complexity and increases efficiency. This article will help you to get more information on the data structure.
Students interested in pursuing a course in Data Structure can avail the study materials and study notes from this article. Study materials of data structure will help in your preparation. You can download the study material and notes from here and read it offline as well. Study materials for Data Structure are listed below:
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There are many books on data structure available both online and offline. Most of the time, students get confused to choose the right book. We have made a list of books for the data structure that will help you to understand the concepts easily.
- “Introduction to Algorithms” by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
- Christopher Steiner’s Automate This: How Algorithms Came To Rule Our World
- Algorithms Unlocked” by Thomas H. Cormen
- “The Algorithm Design Manual” by Steven S. Skiena
- “Algorithms” by Robert Sedgewick and Kevin Wayne
- Narasimha Karumanchi’s Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles
- Advanced Data Structures” by Peter Brass
- Aditya Bhargava’s Grokking Algorithms: An illustrated guide for programmers and other curious people
It is crucial to check the curriculum before starting a course at the beginning of a course to plan your study correctly. The syllabus of the data structure is given below.
Unit I – Stacks and Queues
Storage structures for arrays – Sparse matrices – Queues and Stacks: Representations and applications. Recursion, Double Ended Queue, Priority Queue, Tower of Hanoi, postfix to infix, Infix to Postfix, expression evaluation.
Unit II – Linked Lists
Linked Lists – Linked queues and stacks– Doubly linked lists – Operations on polynomials – Circularly linked lists – Dynamic storage management – Compaction and garbage collection
Unit III – Trees
Binary Trees, Expression manipulation, Binary search trees, Tree traversal, Symbol table construction, Minimum spanning trees, B-Trees, Height balanced trees, B+ Trees, Applications.
Unit IV – Graphs
Graphs – Topological sort – Representation of graphs – BFS, DFS – Shortest path problems. Applications, Pattern matching, String representation and manipulations.
Unit V – Sorting and Searching
Sorting Techniques, Selection, Bubble, Insertion, Merge, Heap, Quick, Radix sort and Address calculation. Binary search, Linear search, and Hash table methods.
- What is called an algorithm?
- Explain data structure.
- What is called linear searching?
- What is a linked-list?
- Briefly explain stack.
- What are the criteria for algorithm analysis?
- Why do we use stacks?
- What is a queue in data-structure?
- What are the various data structures available?
- Write a short note on the data structure.
What is called data structure?
The data structure is the process in which ordered data is collected and organised in such a way that we can perform various kinds of operations with this data efficiently.
How does data structure help?
Data structures store the ordered data so that different kinds of operations can be performed easily.
What are the common data structures?
There are eight common data structures that every programmer prefer to use. These are arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs.
Is it hard to study data structure?
Sometimes, it may seem hard to study data structure as it needs hard work and patience. However, if you choose the right books and understand the concept, it is not tough to study data structure.
The information provided above about data structure will help you in your preparation. If you have any other query regarding the data structure’s study materials, you can let us know in the comment section.