Learn how to write faster and more efficient code against the backdrop of famous algorithms. Graph algorithms; Dynamic programming; Searching and Sorting: Number The below links cover all most important algorithms and data structure topics. Coding interviews are comprised mainly of data structure and algorithm-based questions as well as some of the logical questions such as, How.


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How do you find the middle element of a singly linked list in one pass? How do you find the starting node of the cycle?

If you are having trouble solving these linked list coding questions then I suggest you refresh your data structure and algorithms skill by going algorithm and data structure Data Structures and Algorithms: Deep Dive Using Java course.

Data Structure and Algorithms (DSA) Tutorial

You can also check out this list of 30 linked list algorithm and data structure questions for more practice questions. String Coding Interview Questions Along with array and linked list data structures, a string is another popular topic on programming job interviews.

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  • 50+ Data Structure and Algorithms Interview Questions for Programmers

I have never participated in a coding interview where no string-based questions were asked. A good thing about the string is that if you know the array, you can solve string-based questions easily because strings are nothing but a character array.

So all the techniques you algorithm and data structure by solving array-based coding questions can be used to solve string programming questions as well. Here is my list of frequently asked string coding questions from programming job interviews: How do you print duplicate characters from a string?

If you can solve all these String questions without any help then you are in good shape. For more advanced questions, I suggest you solve problems given in the Algorithm Design Manual by Steven Skiena algorithm and data structure, a book with the toughest algorithm questions.

Introduction to Data Structures and Algorithms | Studytonight

If you need more practice, here is another list of 20 string coding questions. Tree algorithm and data structure structure is a data structure that allows you to store your data in a hierarchical fashion.

Depending on how you store data, there are different types of trees, such as a binary treewhere each node has, at most, two child nodes. Therefore, you will find a lot of questions based on them, such as how to traverse them, count nodes, find depth, and check if they are balanced or not.

A key point to solving binary tree algorithm and data structure is a strong knowledge of theory, e.

Top Algorithms and Data Structures You Really Need To Know

Here is a list of popular binary tree-based coding questions from software engineer or developer job interviews: How is a binary search tree implemented?

If you need some more recommendations, here is my list of useful data structure algorithm books and courses to start with. Having practiced algorithm and data structure before not only makes you familiar with them but also gives you more confidence in explaining the solution to the interviewer.


How is a bubble sort algorithm implemented? Your first step is to choose a number in the list called the pivot.

Top Algorithms and Data Structures You Really Need To Know

Algorithm and data structure the right pivot number will make all the difference in how fast your QuickSort performs, and there are ready-made formulas to follow for choosing good pivots.

We start with the first number in our array: To move it to the left of the separator, we just move the separator up one element: So we leave it alone. Next we come to 6, which needs to go to the left of the separator.

So first, we swap it with 13 to get it into position: Then we have But 7, our last number before reaching the pivot, needs the algorithm and data structure kind of help moving as 6 did. So we swap 7 with 13 to get it into position: