Rui Ming's 25 quintessential programming interview problems. Set A PDF

By Rui Ming

This publication has 25 vital coding difficulties supplemented via C++ recommendations perfect for technical interview arrangements for a software program Developer place at tech titans like Google, Microsoft, fb, Apple, Twitter, Amazon or many Silicon Valley startups.
This e-book provides you hand picked 25 integral coding difficulties (katas) that each software program Developer needs to completely know the way to resolve. the matter set covers easy information constitution problem(s) (Linked checklist, Binary Tree, String, Array, HashTable), Bit Manipulations, Sorting, Numerical, Combinatorics and easy algorithms thoughts similar to grasping set of rules and Divide-and-Conquer.
Each challenge is observed by way of a operating and concise C++ answer, not obligatory illustrations, research and try circumstances. we try to maintain the strategies fresh, basic, and concise. also, comparable adaptations to the issues also are supplied for every given challenge. many of the difficulties provided during this ebook require readers to have simple familiarity with algorithms taught in an undergraduate point algorithms category and a operating wisdom of C++ programming language and easy familiarity with STL library.

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Additional info for 25 quintessential programming interview problems. Set A

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Nodes at different level should be printed on different line. Variation 1: print the nodes values left-to-right on one level, then right-to-left on the next level and keep alternating. Unix wc command Implement unix wc-like command that takes a c-string input. Any character other than white space characters (space, tab, \n, etc), counts as 1 char. A word contains at least a single non white space characters. A line has at least 1 word. The function should print the line count, word count, and character count delimited by tab.

F’ is the second non-repeating character. Test Cases 1. get(0) – non existent item 2. set(0, 1000) followed by get(0) – should put key 0 on the cache and returns the value 1000 3. set(0, 1001) followed by get(0) – key 0 value should now be updated to 1001 4. set until max capacity reached followed by get(0) – key 0 should be evicted now from the cache Solution Generally, when you are asked this problem during a technical interview, you are expected to come up with a solution that uses doubly-linked list and a map that enables efficient key lookup that stores an iterator to the node in the doubly-linked list data structure for a fast lookup instead of searching linearly.

This approach won’t give us an O(n) solution for constructing balanced BST from a sorted Linked List. The key to this solution is actually to consider a inorder traversal bottom-out approach. Solution For the bottom-up solution to work, we need to know the length of the Linked List. At the worst case if this is not known in advance, iterating a Linked List will cost us O(n). The basic idea of this bottom-up solution is basically to use the inorder traversal pattern. It first processes the left subtree, the current node, then the right subtree.

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25 quintessential programming interview problems. Set A by Rui Ming

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