Jean Wisser

𝐇𝐨𝐰 𝐭𝐨 𝐀𝐧𝐬𝐰𝐞𝐫 𝐚 𝐃𝐒𝐀 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐢𝐧 𝐚𝐧 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰? In a technical interview, solving a DSA problem is about showcasing your thought process as much as it is about finding the correct solution. 𝐋𝐞𝐭 𝐮𝐬 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐢𝐬 𝐰𝐢𝐭𝐡 𝐚𝐧 𝐞𝐱𝐚𝐦𝐩𝐥𝐞 𝐨𝐟 𝐭𝐰𝐨 𝐬𝐭𝐮𝐝𝐞𝐧𝐭𝐬: Two students, 𝐀𝐥𝐢𝐜𝐞 and 𝐁𝐨𝐛, have equal DSA knowledge, but Alice followed a structured approach that set her apart. 𝐇𝐞𝐫𝐞’𝐬 𝐡𝐨𝐰? How Alice Aced the DSA Interview While Bob Struggled 1. 𝐂𝐥𝐚𝐫𝐢𝐟𝐲𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 Alice asked clarifying questions and confirmed edge cases. Bob rushed into coding, risking misunderstanding. 2. 𝐒𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐁𝐫𝐮𝐭𝐞 𝐅𝐨𝐫𝐜𝐞 Alice explained the brute force solution first, then moved to optimizations. Bob jumped straight to a complex solution, missing the chance to showcase his problem-solving process. 3. 𝐂𝐥𝐞𝐚𝐫 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 Alice walked the interviewer through her approach step-by-step. Bob didn’t explain his thought process, leaving the interviewer in the dark. 4. 𝐄𝐝𝐠𝐞 𝐂𝐚𝐬𝐞 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 Alice considered edge cases early, ensuring her solution was robust. Bob missed or added edge cases later, risking an incomplete solution. 5. 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 & 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 Alice tested her code thoroughly, discussed time complexity, and optimized where necessary. Bob skipped testing or rushed through it, leading to possible errors. 6. 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 𝐓𝐢𝐦𝐞 𝐏𝐫𝐞𝐬𝐬𝐮𝐫𝐞 Alice’s calm, structured approach kept her on track, even under pressure. Bob’s rushed method made debugging and recovery harder. 𝐑𝐞𝐬𝐮𝐥𝐭 : 𝐄𝐯𝐞𝐧 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞, 𝐀𝐥𝐢𝐜𝐞’𝐬 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝, 𝐜𝐥𝐞𝐚𝐫 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐦𝐩𝐫𝐞𝐬𝐬𝐞𝐝 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐞𝐫, 𝐰𝐡𝐢𝐥𝐞 𝐁𝐨𝐛’𝐬 𝐫𝐮𝐬𝐡𝐞𝐝 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐥𝐞𝐟𝐭 𝐫𝐨𝐨𝐦 𝐟𝐨𝐫 𝐝𝐨𝐮𝐛𝐭. In interviews, how you solve the problem matters as much as the solution itself. 𝐅𝐨𝐥𝐥𝐨𝐰 𝐀𝐥𝐢𝐜𝐞'𝐬 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡, 𝐚𝐧𝐝 𝐲𝐨𝐮'𝐥𝐥 𝐬𝐭𝐚𝐧𝐝 𝐨𝐮𝐭! 💡 𝐂𝐨𝐦𝐦𝐞𝐧𝐭💬 𝐝𝐨𝐰𝐧 𝐲𝐨𝐮𝐫 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐰𝐡𝐞𝐫𝐞 𝐲𝐨𝐮 𝐟𝐞𝐥𝐭 𝐥𝐢𝐤𝐞 𝐁𝐨𝐛—rushing into the solution, skipping clarifications, or missing edge cases—and 𝐟𝐚𝐜𝐞𝐝 𝐫𝐞𝐣𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐬 𝐚 𝐫𝐞𝐬𝐮𝐥𝐭. We’re here to help you transform and follow Alice's structured approach so you can ace your next interview! 🚀 Follow this page for more such content: LearnYard Technologies FZ-LLC #DSA #InterviewTips #CodingInterviews #ProblemSolving #AceTheInterview

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It's time to close this BigQuery week with a dive deep into Array Functions. If you're looking on how to manage and analyze complex data structures... then our detailed guide has you covered. 🔍 Content Highlights: • Overview of Array Functions • Key Array Functions in SQL • Constraints for Consideration • Resolving Common Errors with Array Functions 💡 Whether you're a novice or an expert, this guide will empower you to use array functions to streamline your data workflows and gain deeper insights. 📝 Read the article here: https://www.owox.com/c/5mu #BigQuery #ArrayFunctions #DataAnalytics #OWOXBI #GoogleBigQuery #DataManagement #sql

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#30DAYCODINGCHALLENGE #mysqlcodegnan Hlo connections 🤝 Today as #Day5 "Today I deepened into some additional JOIN clauses in mysql. Each one provides a powerful way to link and retrieve data from multiple tables, making queries more efficient and insightful." --> FULL OUTER JOIN A FULL OUTER JOIN returns all records when there is a match in either the left or right table. If no match exists, NULL values will be displayed for the missing side. --> SELF JOIN A SELF JOIN is when a table is joined with itself, useful for comparing rows within the same table. Thanks to Codegnan Samuel Chitturi Uppugundla Sairam Saketh Kallepu Support Team Codegnan Raghava Krishna Kinnera (L.I.O.N) Lakshmi Kalyani #mysql #sql #sqlite #django #flask #spring #oops #linkedin #study #jobs2024 #mysqlcodegnan

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XMLHttpRequest is a part as Asynchronous JavaScript is old practice but its helps kay javascript FETCH() say phaly server pay request asa jathi thi. XMLHttpRequest Ajax #codingquestion #codingworld #javascript #coders

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Hello data family!!! One of my connections Harshit Bhadiyadra has launched a SQL YouTube channel for SQL Queries and Interview questions... So if you want to learn SQL and clear SQL interviews you can subscribe to his channel... https://lnkd.in/g_6AHxfw He is also offering live classes and solutions to interview queries commonly asked in MNCs through his WhatsApp group. Join his WhatsApp group for live classes every weekend. https://lnkd.in/gNceEUDD #dataanalyst #dataanalysis #sql #sqlpractice #sqlqueries

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🚀 Introducing the Hashnode blog action – a GitHub action designed to effortlessly pull your Hashnode posts and display them in a sleek format. 👉 Check it out on GitHub https://lnkd.in/dac2AQqQ Contributions are highly encouraged! Feel free to dive in, share your ideas, and let's make this even more awesome together. Happy coding! 🖥️📝✨ #hashnode #githubactions #github #opensource #community #share #blogwriting #blogs

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Let's Learn Data Engineering Together! #Day53ofSparkDataEngineering isin and isnotin operator in spark : n Spark, isin and isnotin (or using ~ to negate isin) are used to filter rows based on whether the values in a particular column match a given set of values or do not match them, respectively. 1. isin operator : -The isin() operator is used to check if the values of a column are present in a given list of values. -Returns True if the column value is in the specified list, otherwise False. syntax : df.filter(df["column_name"].isin(value1, value2, ..., valueN)) Example : df1= = df.filter(df["city"].isin("New York", "Los Angeles", "Chicago")) display(df1) 2. isnotin operator : -The opposite of isin(). -It filters rows where the column value is not present in the given list of values. Spark doesn't have a direct isnotin() function, but you can use the negation (~) of isin() to achieve the same effect. -Returns True for rows where the column value is not in the specified list. syntax : df.filter(~df["column_name"].isin(value1, value2, ..., valueN)) Example : df1= = df.filter(~df["city"].isin("New York", "Los Angeles", "Chicago")) display(df1) R GANESH Sagar Prajapati Amulya A. Ankit Rai Komal Khakal Shivakiran Kotur Arabinda Mohapatra Abhisek Sahu

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Web scraping is an automatic method to obtain large amounts of data from websites. Most of this data is unstructured data in an HTML format which is then converted into structured data in a spreadsheet or a database so that it can be used in various applications. #csharp #web_scraping #selenium #HtmlAgilityPack https://lnkd.in/geW5j6VG

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🚀 Ready to level up your web scraping skills with Python? Our latest blog helps you unlock the full potential of HTML selectors—ID, class, attribute, and hierarchical—for precise data extraction. Whether you're analyzing structured tables or dynamic pages, knowing these selectors is key to advancing your Python scrapers. Read more: https://lnkd.in/dkqpvHZP Need support? Join our thriving Discord community where fellow scrapers are eager to help you tackle any challenges that come your way. 🌟 https://lnkd.in/e5__ksMa #WebScraping #PythonProgramming #DataExtraction #HTMLSelectors #ScrapingSkills #DeveloperTips

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#SqltoSparkDay5 Our fifth video in the SQLtoSpark series is live! We’re solving 'Invalid Tweets' from the LeetCode SQL50 Study Plan, first in SQL and then transforming the solution to Spark with Scala. This series is all about honing your problem-solving skills and building robust logic in both SQL and Spark. Join us, and turn complex interview questions into confident answers. Check out the latest video, share your thoughts, and subscribe for daily insights. Let’s continue mastering data engineering together! 💡💻 #SQLtoSpark #DataEngineering #CodeDataHub #LeetCodeSQL50 #TechTutorials #LearningJourney" https://lnkd.in/gbxtQPu6

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Helping our students build out their mastery of GRAPH CHOICE as a data skill is critically important. The Dataspire Graph Type Matrix resources are getting updated (you can know access all levels with just one click for the Google Folder), check them out here: https://lnkd.in/eGzYAbGK. DataClassroom (https://lnkd.in/gxH6MAzN) and Canva Graph Maker (https://lnkd.in/gkDKqrwT) have built into their offering an interactive feature to help students with picking their graph type! SUPER COOL :) #DataViz #K12 #DataEducation #DataLiteracy #Graphing

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How to #Share an #object like "#List" Between Multiple #Threads, Show & Draw without #UI #Freezing in Visual Studio .Net? Sometimes you have an array that needs to be shared between multiple Threads. For example, you read data from PC ports and need to modify some data, delete some data, and also want to plot and show it without your App UI getting frozen. So, you can simply use the "#Monitor class" in .Net. For each Thread, before running, check for object accessibility. If it is taken by another Thread, it will wait for the other thread to release it. The sample code on GitHub: https://lnkd.in/e3MvtjmU

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#CrackYourPlacement challenge created by Arsh Goyal Day 20 Problems: 24. Swap Nodes in Pairs 237. Delete Node in a Linked List 2181. Merge Nodes in Between Zeros 143. Reorder List Github : https://lnkd.in/g_PiW8cS #Coding #ProblemSolving #LeetCode #Challenge #ArshGoyal #Python

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🚀 Unleash the Power of Shell Scripting! 🐚✨ 🚀 Exciting news for tech enthusiasts! 🌐 . Delighted to introduce the Shell Scripting Guide Repository, a comprehensive resource meticulously crafted for learning and mastering shell scripting on Unix-like systems. 🐚✨ 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐊𝐞𝐲 𝐓𝐨𝐩𝐢𝐜𝐬: 𝟭. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: - Uncover the essence of Shell Scripting. - Understand the significance of incorporating Shell Scripts. 𝟮. 𝗚𝗲𝘁𝘁𝗶𝗻𝗴 𝗦𝘁𝗮𝗿𝘁𝗲𝗱: - Make informed decisions on choosing a Shell (e.g., Bash, Zsh). - Dive into script creation with Writing Your First Script and mastering execution. 𝟯. 𝗩𝗮𝗿𝗶𝗮𝗯𝗹𝗲𝘀 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗧𝘆𝗽𝗲𝘀: - Learn the nuances of variable declaration and usage. - Navigate through String, Integer, and Array Operations. 𝟰. 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀: - Master the art of Conditional Statements (if-else). - Gain expertise in Loops (for, while) and Case Statements. 𝟱. 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀: - Elevate your scripting skills by defining functions. - Explore Passing Arguments and Returning Values seamlessly. 𝟲. 𝗙𝗶𝗹𝗲 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: - Delve into Reading from and Writing to Files. - Grasp File Permissions and adept File and Directory Handling. 𝟳. 𝗖𝗼𝗺𝗺𝗮𝗻𝗱-𝗟𝗶𝗻𝗲 𝗔𝗿𝗴𝘂𝗺𝗲𝗻𝘁𝘀: - Efficiently handle command-line inputs. - Embrace the world of Options and Flags for enhanced functionality. Ready to embark on a journey of scripting excellence? 🚀 🌐 Explore the repository: Shell Scripting Guide Repository : https://lnkd.in/dFMvHPTp Connect with me on LinkedIn for insightful discussions and script your success story in the world of Shell Scripting! 🤝💡 #shellscripting #unix #coding #opensource #techskills #devopstools #s

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👉 Day 78/100 of solving LeetCode || DSA problems in Scala. Problem Name ➡1544. Make The String Great https://lnkd.in/gBYhS_tG Problem Description -  Given a string s of lower and upper case English letters. A good string is a string which doesn't have two adjacent characters s[i] and s[i + 1] where: 0 <= i <= s.length - 2 s[i] is a lower-case letter and s[i + 1] is the same letter but in upper-case or vice-versa. To make the string good, you can choose two adjacent characters that make the string bad and remove them. You can keep doing this until the string becomes good. Return the string after making it good. The answer is guaranteed to be unique under the given constraints. Notice that an empty string is also good. Approach for the Solution - 1. Use a mutable stack to track characters while iterating through the string backward. 2. For each character, check if the stack is empty; if not, compare the top of the stack with the current character. 3. If they are the same letter but different cases, pop the stack; otherwise, push the current character. 4. After processing all characters, convert the stack back to a string using `mkString`. 5. Time complexity is O(n) and space complexity is O(n) in the worst case. Code in Scala - object Solution {   def makeGood(s: String): String = {     var stack = scala.collection.mutable.Stack[Char]()     for(i<-s.length-1 to 0 by -1){       if(stack.isEmpty) stack.push(s(i))       else{         if((stack.top.toString.toLowerCase == s(i).toString.toLowerCase) && isAdjacentCase(stack.top,s(i))) stack.pop()         else stack.push(s(i))       }     }     stack.mkString   }   def isAdjacentCase(first : Char , second : Char) : Boolean ={     if(first.isLower && second.isUpper) true     else if(first.isUpper && second.isLower) true     else false   } } ✌ Keep Learning. #scala #tree #datastructures #leetcode

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