Most of the popular coding interview questions are based on the concepts of data structures and algorithms. It doesn’t matter whether you want to become a Data Scientist, Web Developer, or any other IT profession that interests you, it is very rare to receive your first coding interview questions based entirely on your profession. An interviewer wants to check your logic and the way you approach a problem to analyze your problem-solving skills. This is why most of the questions in any coding interview are based on the concepts of data structures and algorithms, especially at companies like FAANG. In this article, I’ll walk you through the most popular coding interview questions using Python.

## Coding Interview Questions using Python

All the coding interview questions mentioned below are solved and explained using Python. These questions are based on the concepts of data structures and algorithms which are very common in companies like FAANG.

#### Sequential Search:

The searching algorithms are the algorithms that are used to search a particular value in a *data structure* such as lists in Python. For example, imagine that you are trying to find a specific card from a deck of cards. You will go through each card in the deck one by one until you find the card you are looking for. Once you got the card you were looking for you will stop. This is how the sequential search algorithm works. Here is how to implement it using Python:

#### Validate Anagrams:

An Anagram is a word or phrase that forms a different word or phrase when the letters of a word are rearranged. For example, the words “despair” and “praised” are anagrams. The validation of anagram words is one of the favourite questions in coding interviews. The idea is to write an algorithm to check if the input word creates a meaningful word when rearranged. So to validate an anagram using Python, we need to input two words and check if word1 in any case matches word2 after rearranging the words. Here is how to validate anagrams using Python:

#### Recursive Binary Search:

Recursion means solving problems by breaking down a complex problem into smaller problems and then solving it step by step. ** Binary search** means to find an item in a sorted array by repeatedly dividing the search interval into two halves and recursive binary search means to subdivide the entire binary search process into smaller problems. Simply put, the recursive solution to a binary search is known as a recursive binary search. Here is how to implement a recursive binary search using Python:

#### Hash Tables:

Hash tables are like dictionaries in Python, they are data structures that are used to store and retrieve a large amount of data in the format of keys and values. In computing, hash tables are one of the most important data structures that resemble ** dictionaries** in the Python programming language. A hash table is based on the concept of hashing which provides a way to store and retrieve data efficiently in the complexities of time and space. Here is how to implement Hash Tables using Python:

#### Queues:

A queue is a data structure where we insert items from the back and remove items from the front. It follows the principle of First In, First Out data structures. A queue is like ** stacks** where you can insert and delete items in a specific order, but unlike stacks that follow the principle of last-in-first-out data structures, queues follow the principle of last-in-first-out data structures where the first item added is the first item removed. Here is how to implement Queues using Python:

#### Validate a Binary Search Tree:

Validating a binary search tree is a great question for coding interviews. It means writing an algorithm to check whether a binary tree is a binary search tree or not. A binary search tree (BST) is a binary tree whose elements are positioned in a special order such that in each binary search tree all values in the left subtree are less than those in the subtree on the right. Here is how to validate a binary search tree using Python:

#### Stacks:

Stacks are abstract data types that are commonly used in almost all programming languages. A stack is a data structure that simulates real-world stacks such as a deck of cards, a stack of plates, etc. Stacks follow the principle of Last-in-first-out data structures, where the last item inserted is the first item out. Here is how to implement stacks using Python:

#### Check Palindrome Words:

Palindrome words are those words that are read the same way from left to right as from right to left. Writing an algorithm to check whether a word is a palindrome or not is an important question in coding interviews. In coding interviews, you are given a sentence and you are asked to write an algorithm to find palindromic words from that sentence. Here is how to check palindrome words using Python:

#### Defang IP Address:

A user’s IP address is defanged to prevent the user from clicking on a malicious link. The problem with Defanginig IP addresses is one of the common coding interview questions for someone who is planning data science. There are so many unique ways to solve this problem, which is why this is one of the favourite questions for interview coding. Here is how to defang IP address using Python:

#### Fizzbuzz Algorithm:

The FizzBuzz algorithm is one of the favourite questions in coding interviews. Fizz and Buzz refer to any number that is a multiple of 3 and 5. This coding problem is popular among numbers 3 and 5, but you may be able to see more complex numbers, but the logic for solving the problem will remain the same. Here is how to implement the Fizzbuzz algorithm using Python:

### Summary

In this article, I introduced you to the 10 most popular coding interview questions and their implementation using Python. There are many ways of framing the questions based on these problems but the implementation remains the same what changes are the logic and way to approach the problem. I hope you liked this article on the most popular coding interview questions solved and explained using Python. Feel free to ask your valuable questions in the comments section below.