#Data Structure Problems

Struggling with leetcode? Click the link in my bio to try the duolingo for Leetcode #csmajor #codingmemes

One of the most important Leetcode problems! 🤓 Hash Maps trade time complexity for memory complexity Two sum problem 🤧 Explained by Peter 🤫 Follow 👉 for more #computerscience #leetcode #science #cs

Five popular websites to practice coding are: HackerRank, LeetCode, Codewars, CodeChef, and TopCoder. Explanation: HackerRank: Offers a wide range of coding challenges across various domains and difficulty levels, great for competitive programming and technical interviews. LeetCode: Primarily focused on algorithm and data structure problems, considered excellent for preparing for coding interviews. Codewars: Provides a gamified approach with "kata" challenges, allowing users to compare solutions with others and learn through peer feedback. CodeChef: A platform for competitive coding with a strong community, offering challenges categorized by difficulty and regular contests. TopCoder: A platform for competitive programming with a focus on quality challenges and opportunities to participate in paid competitions. #codeiqtraininginstitute #codeiqbhopal #codeiq #coding #programming #developer #javascript #java #python #education #reels

"Unlock the secrets of Data Structures and Algorithms! 🚀 Whether you're a beginner or a seasoned coder, mastering these concepts is essential for solving complex problems and acing technical interviews. In today's fast-paced tech world, efficiency is key, and understanding the right data structure or algorithm can make all the difference. Let's dive into the world of coding and discover how to optimize performance, write cleaner code, and build scalable applications. Ready to level up your skills? Let's get started! 💻 #DataStructures #Algorithms #TechSkills #CodingLife #Programmers #TechCommunity #SoftwareDevelopment #CodingTips #CodeNewbie #TechEducation #CodingChallenge #LearnToCode #PythonProgramming #JavaScript #TechInspiration #AlgorithmDesign #DeveloperCommunity #TechTalk #CareerGrowth #CodingBootcamp #SoftwareEngineer #TechJourney #InterviewPrep #LeetCode #CSFundamentals #TechWorld #CodingDaily #CodeLife #100DaysOfCode

A friend told me about this cool algorithm after I posted about Dijkstra’s, so figured I had to share! Did you know this? ~~~~~~~~~~~~~~~~ 💻 Follow @madeline.m.zhang for coding memes & insights ~~~~~~~~~~~~~~~~ 🏷️ #dijkstra #learntocode #technews #algorithms #programmingmemes #programmerhumor #thedevlife #girlswhocode #womenwhocode #softwareengineer #softwaredeveloper #developerlife #techmeme

Interview asked question and off course stack data structure is too important as we miss and only give importance to Graph, DP, Recursion So just for revision perspective I have started giving problems and solutions I hope that will help you🫡 Don’t forget to save the video and follow for more such content 🙌☺️ #jobs #opportunity #jobseeker #careers #hiring #recruitment #careergoals #interview #interviewtips #interviewprep #interviewadvice #careeradvice #interviewquestions #software #viralreels #viralvideo #softwareengineering #softwaredeveloper #softwareengineer #codinglife #programming #softwaredevelopment #tech #coding #programmer #code #programminglife #datastructures #algorithms #dsa

Learning Data Structures & Algorithms? I’ve rounded up the best sites so you don’t have to. Save + share.

K-Means is a popular clustering algorithm used in data analysis and machine learning to group data points into a specified number of clusters, k, based on their similarity. It works by assigning each data point to the cluster whose center (called a centroid) is closest to it, then recalculating the centroids until the assignments stop changing or the improvement becomes minimal. The main goal of K-Means is to minimize the Within-Cluster Sum of Squares (WCSS)—a measure of how tightly the points in each cluster are grouped around their centroid. Lower WCSS values indicate more compact clusters, meaning the data points within each cluster are close together and well-separated from other clusters. However, WCSS alone doesn’t always give a full picture of how good the clustering is, which is where the average Silhouette Score (avg SIL) becomes useful. The silhouette score compares how similar each point is to its own cluster compared to other clusters, producing values between –1 and 1. A higher avg SIL means that clusters are both compact and well-separated, suggesting an appropriate choice of k. Analysts often use both WCSS and avg SIL together: WCSS helps identify the “elbow point” where adding more clusters stops significantly improving the fit, and avg SIL confirms whether those clusters are meaningful. This combination makes K-Means a simple yet powerful tool for uncovering hidden structure in data. Like this video and follow @mathswithmuza for more! #math #maths #mathematics #learn #learning #foryou #coding #ai #chatgpt #animation #physics #manim #fyp #reels #study #education #stem #ai #chatgpt #algebra #school #highschool #exam #college #university #cool #trigonometry #statistics #experiment #methods

Day 73/100: Today I solved 2 questions based on Dynamic Programming 1) 0-1 Knapsack [medium] 2) Maximum Sum Increasing Subsequence [medium] 📌Question 1 took me 26 mins 8 secs 📌Question 2 took me 19 mins 36 secs. Total question solved in 73 days is 165 out of 250. Checkout our daily progress and question tracker Google sheet. (Link in bio)📄🤓 #100DaysOfCode #CodingChallenge #DSA #tech #DataStructure #Algorithm #programming #coding #tech #CodeToCreate

How many did you get right? #computerscience #softwareengineer #softwaredeveloper #coder #bigtech #technology #comppscibrainrot #brainrot #brainrotquiz #datastructures #datastructuresandalgorithms #datastructure

Two Sum II - Input Array Is Sorted - Leetcode 167 Validate Binary Search Tree - Leetcode 98 #softwareengineering #softwaredevelopment #java #software #softwarejobs #datastructures #softwareengineer #leetcode #programming #javadeveloper #datastructuresandalgorithms #python #softwaredeveloper #code #FAANG #coding #javascript #javascriptdeveloper #codingisfun #codinginterview #js #html #css #sql

Understanding Data Structures If you want to write efficient code, solve problems faster, or perform well in technical interviews, you must understand the foundation that holds every algorithm together — data structures. This gives a clear breakdown of how data structures are organised. They are broadly grouped into two categories: • Linear structures that follow a sequence, • Non-linear structures that connect data in hierarchical or network formats. As you swipe through the remaining slides (which couldn’t be uploaded here due to limits), you’ll find each type explained with purpose, usage, and where you’ll encounter them in real projects. Perfect for beginners who want clarity and for interview prep where data structure understanding makes all the difference. [data structures, linear data structure, non linear data structure, array, stack, queue, linked list, trees, graphs, coding basics, dsa concepts, programming fundamentals, software engineering, data organisation, algorithm prep, computer science, cs concepts, tech learning, coding interview, big tech prep, beginner programming, coding student, developer skills, problem solving, tech education, system design basics, learning roadmap, code efficiency, programming logic, data handling, study material, tech notes, coding preparation, learning carousel, educational content, software concepts, interview readiness, tech career, coding journey, study series, developer learning, core cs topics, tech fundamentals, data management, coding clarity, tech beginners, cs students, engineering students, coding revision, concept breakdown] #datastructures #codingbasics #techlearning #programmingfundamentals #interviewprep