One notebook for every subject — open it anywhere.
725 concise, example-driven guides — one for every topic on notesonly.in.
Group discussion and interview skills is part of Communication Skills and Humanities in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Resume and cover letter writing is part of Communication Skills and Humanities in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Professional ethics basics is part of Communication Skills and Humanities in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Economics for engineers: demand, supply, costing basics is part of Communication Skills and Humanities in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Arrays and linked lists (singly, doubly, circular) is part of Data Structures in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Stacks and queues (including priority queues) is part of Data Structures in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Trees: binary trees, BST, AVL trees, B-trees is part of Data Structures in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Heaps and heap operations is part of Data Structures in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Hashing and hash tables is part of Data Structures in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Graphs: representation, traversal (BFS, DFS) is part of Data Structures in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Sorting algorithms: quick, merge, heap, counting sort is part of Data Structures in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Searching algorithms: linear, binary search is part of Data Structures in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Recursion and backtracking basics is part of Data Structures in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Time and space complexity: Big-O notation is part of Data Structures in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Asymptotic analysis and growth of functions is part of Design and Analysis of Algorithms in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Divide and conquer strategies is part of Design and Analysis of Algorithms in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Greedy algorithms is part of Design and Analysis of Algorithms in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Dynamic programming is part of Design and Analysis of Algorithms in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Backtracking is part of Design and Analysis of Algorithms in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Graph algorithms: Dijkstra, Bellman-Ford, MST (Kruskal, Prim) is part of Design and Analysis of Algorithms in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →String matching algorithms (KMP, Rabin-Karp) is part of Design and Analysis of Algorithms in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →NP-completeness: P, NP, reductions is part of Design and Analysis of Algorithms in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →Amortized analysis is part of Design and Analysis of Algorithms in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →ER model and relational model is part of Database Management Systems in Engineering. This guide covers what it means, the key ideas to master, and a practical study approach that works for this topic.
Read more →