Problem Statement We have to implement a groupAnagram function that takes an array of strings as input and returns a new array with anagrams grouped. The input string array is assumed to be composed entirely of lowercase English characters. Brute Force Solution If two strings are anagrams then their sorted order will be the same. Thus, anagrams could be grouped under their sorted order. ...
Problem Statement We have to implement a twoSums() function that takes an integer array and a target value as inputs. It returns the indexes of two elements in the input array which could be summed up to the target value. It is assumed that the input array contains only one valid pair of elements that sum up to the target value. Brute Force Solution The brute-force solution will find the sum of all element pairs in the array using nested loops. ...
Problem Statement We have to implement an isAnagram() function that takes two strings as input and returns true if they both are anagrams and false otherwise. Multiple words could be anagrams of each other if they contain the same characters with the same frequency of occurrence. For word counter: trounce is an anagram. trouncee isn’t an anagram, because the character e appears twice in trouncee. tounce isn’t an anagram, because the character r is missing. The inputs for the isAnagram() function are assumed to be composed of lowercase English characters including whitespace (" "). ...
Problem Statement We have to implement a function containsDuplicate() that takes an integer array as input and returns true if an element occurs more than once and false otherwise. Brute Force Solution The simplest solution for this problem would be two nested loops, where the first loop will select an element and the second loop will select another element from the array and compare them. On the first occurrence of a duplicate element, the function will exit while returning true. ...
Searching contents on a website for a specific keyword, code search in text editors & IDEs, and information retrieval systems used in libraries and archives are use cases for an algorithm that searches a string within another string. Unlike searching for a single character, searching for a complete string could be challenging. If we search string ION in DICTIONARY. For each character in DICTIONARY, we have to look for I, O, and N in the same order. ...
Data structures like arrays, strings, and hashmaps are available by default in most programming languages. They facilitate storage of large amounts of data in an efficient format which makes it easier (and sometimes relatively faster) to access during runtime. Arrays An array is a sequential store of data (referred to as elements). In languages like Python, an array can store elements with multiple data types, like, [1, "Hello, World", True] but for languages like Go, C++, and Java an array can store elements of a singular data type. ...
While programming allows us to create virtually anything, the true test of performance arises when we deploy the same code on a significantly larger scale. Time Complexity ($T(n)$) is a function that estimates the execution time of an algorithm given the amount of data to be processed as its input ($n$). It is a common benchmark used to measure an algorithm’s performance. Bounds of Time Complexity The output of the time complexity function will be a close estimate of an algorithm’s runtime given the size of its input but it does not consider other characteristics of the input that could affect its runtime. ...
What is REST? REST (REpresentational State Transfer) is an architectural style for designing and developing APIs that could be used for client and server interactions. REST defines 6 architectural constraints for APIs: Uniform interface: API requests for a resource should look the same irrespective of its origin client. The Uniform Resource Identifier (URI) allocated to resources should be unique. Client-server: Changes on the client side should not affect the server and vice-versa. Stateless: The API request should contain all the resources required to process it. The server should not store any details related to client requests. Cacheable: API Responses could be cached on the client or server side. Layered system: Neither the client nor the server should have information regarding the number of intermediate layers during communication. Code on demand (optional): When required, code snippets sent through API responses should be executable on demand. APIs that comply with REST architecture constraints are called RESTful APIs. ...
We can make a program concurrent if we can split it as multiple independent tasks executed at the same time. In concurrency, we execute different portions of a program at the same time (on single or multiple CPU threads) whereas in parallelism a singular task (or subtasks) is executed parallelly on multiple CPU threads. Concurrency is about dealing with lots of things at once. Parallelism is about doing lots of things at once. ...
Reading and writing files is one of the most common tasks in programming projects. Using this skill we can store data persistently and decrease the memory consumption of our program. Paths The path/filepath package provides filepath.Join() function to create filesystem paths for files and directories. The same could also be achieved with string concatenation in Go but it won’t be interoperable between different operating systems (Linux uses the forward slash (/) for separators in the path whereas Windows uses the backward slash (\)). ...