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Summary Data structures and algorithms -DSA Top interview questions

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Data Structures Keywords. Sanath Srinivas Write a keywords for Data structures and algorithms book Arrays Linked lists Stacks Queues Trees Graphs Hash tables Sorting algorithms Searching algorithms Dynamic programming Recursion Binary search Heaps Priority queues Dijkstra's algorithm Kruskal's algorithm Prim's algorithm Divide and conquer Greedy algorithms Big O notation Complexity theory Algorithm design Sanath Srinivas Describe my Data structures and algorithms book I'm sorry, but as an AI language model, I don't have access to information about your personal book collection or any book specifically belonging to you. However, I can provide a general description of a typical data structures and algorithms book. A data structures and algorithms book is typically a comprehensive guide to understanding the fundamentals of computer science. It covers the basic principles of data structures, which are the building blocks of efficient algorithms. The book may start with an introduction to the basics of computer programming and then move on to more complex topics such as arrays, linked lists, stacks, queues, trees, graphs, hash tables, and sorting algorithms. In addition to data structures, the book will also cover algorithms, which are the procedures used to manipulate data structures. The book may explain different algorithm design techniques, such as divide and conquer, greedy algorithms, and dynamic programming, and provide examples of how they can be used to solve different types of problems. To make the content more accessible, the book will likely include plenty of examples and exercises to reinforce the concepts presented. There may also be programming assignments to implement the algorithms discussed in the book in order to gain hands-on experience with the material. Overall, a data structures and algorithms book is an essential resource for anyone looking to improve their understanding of computer science and programming. It provides a solid foundation for developing efficient and effective programs that can handle a wide range of tasks and data types.

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This would be a very important question which has
a very very high probability of being asked well
binary search as the name suggests Uh it 's two
entities
The first thing you have to always remember when
you work with binary search is that it 'll only work on
sorted data well. Your data either has to be sorted in
the ascending order or the descending order
compulsorily, and once you have the ordered data
basically, you have an array. Let 's say you have an
array and basically. If you have to search an element
in this particular array. The first thing you'll do is you
will find the middle element of it. If it 's an even
number. Your middle number will be considered as
the average of those two numbers, but then if you
have an odd number, you will find one singular middle
element. So then the data is basically split into the left
side and the right side. Now. If you arranged it in in
the ascending order, UH let 's say we. Have top seven
elements one two. Three four five six. Seven four will
be the middle element right so if you 're searching for
three. Then of course you already know that you do
n't have to search up and above four. Because it wo n't
be there. Your data is already in the ascending order,
so you'll of course search below four. Then again you
will split it into one two. Three four. Where uh one

, and two can be put into one side three and four can be
put into the other side and search. So this goes on in
an iterative order
The top 50 data structure interview


questions that you can use to ace all


of the interviews and to help you land


your dream job. This is a compilation


of questions which have the highest


amount of probability to be asked in


any data structures interview. Data


structures are methods and
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