Coding Interview Resources

🌟 𝐆𝐨𝐨𝐠𝐥𝐞 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬😍 🚀 Master the latest skills with FREE Courses in: ✨ Generative AI ☁️ Cloud Computing 𝐂𝐥𝐢𝐜𝐤 𝐇𝐞𝐫𝐞 𝐭𝐨 𝐒𝐭𝐚𝐫𝐭👇:- https://pdlink.in/4gM0xAn Enroll Now & Get Certified for FREE! 🎓

DSA question by understanding patterns If the input array is sorted then - Binary search - Two pointers If asked for all permutations/subsets then - Backtracking If given a tree then - DFS - BFS If given a graph then - DFS - BFS If given a linked list then - Two pointers If recursion is banned then - Stack If must solve in-place then - Swap corresponding values - Store one or more different values in the same pointer If asked for maximum/minimum subarray/ subset/options then - Dynamic programming If asked for top/least K items then - Heap - QuickSelect If asked for common strings then - Map - Trie Else - Map/Set for O(1) time & O(n) space - Sort input for O(nlogn) time and O(1) space 𝐉𝐨𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐠𝐫𝐨𝐮𝐩 𝐟𝐨𝐫 𝐩𝐫𝐞𝐦𝐢𝐮𝐦 𝐉𝐨𝐛𝐬/Notes: https://t.me/getjobss

🚀 𝐁𝐞𝐜𝐨𝐦𝐞 𝐚 𝐓𝐎𝐏 𝐍𝐎𝐓𝐂𝐇 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭/𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 😍 Curriculum designed and taught by Alumni from IITs & Leading Tech Companies. 👩‍🎓 1500+ Students Placed 💼 7.2 LPA Avg. Package 💰 41 LPA Highest Package 🤝 450+ Hiring Partners  𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰👇 : https://pdlink.in/3BLThWo ( Limited Slots ) Land your Dream Data Science and AI Job, Learn live from top Data Experts

𝐓𝐨𝐩 𝐌𝐍𝐂𝐬 & 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐇𝐢𝐫𝐢𝐧𝐠 🔥 Roles Hiring:-  - Data Analyst - Data Engineer - SQL Developer - Power BI Developers - Business Analyst  - Data Scientist  Salary Range :- 6 To 24LPA  𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰👇:-   https://bit.ly/3ZGZMS9 Enter your experience & Complete The Registration Process Select the company name & apply for jobs

𝐀𝐜𝐜𝐞𝐧𝐭𝐮𝐫𝐞 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬😍 1) Data Processing and Visualization 2) Exploratory Data Analysis 3 ) SQL Fundamentals 4 ) Python Basics 5 ) Acquiring Data 𝐋𝐢𝐧𝐤👇 :-  https://pdlink.in/4gM0xAn Enroll For FREE & Get Certified🎓

How to get job as python fresher? 1. Get Your Python Fundamentals Strong You should have a clear understanding of Python syntax, statements, variables & operators, control structures, functions & modules, OOP concepts, exception handling, and various other concepts before going out for a Python interview. 2. Learn Python Frameworks As a beginner, you’re recommended to start with Django as it is considered the standard framework for Python by many developers. An adequate amount of experience with frameworks will not only help you to dive deeper into the Python world but will also help you to stand out among other Python freshers. 3. Build Some Relevant Projects You can start it by building several minor projects such as Number guessing game, Hangman Game, Website Blocker, and many others. Also, you can opt to build few advanced-level projects once you’ll learn several Python web frameworks and other trending technologies. @crackingthecodinginterview 4. Get Exposure to Trending Technologies Using Python. Python is being used with almost every latest tech trend whether it be Artificial Intelligence, Internet of Things (IOT), Cloud Computing, or any other. And getting exposure to these upcoming technologies using Python will not only make you industry-ready but will also give you an edge over others during a career opportunity. 5. Do an Internship & Grow Your Network. You need to connect with those professionals who are already working in the same industry in which you are aspiring to get into such as Data Science, Machine learning, Web Development, etc.

𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐉𝐨𝐛𝐬 𝐈𝐧 𝐓𝐨𝐩 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬😍 | 𝐀𝐜𝐫𝐨𝐬𝐬 𝐈𝐧𝐝𝐢𝐚  Companies Hiring:-  - Capgemini - Wipro - KPMG - Microsoft  - IBM Salary Range :- 7 To  24LPA  𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 & 𝐔𝐩𝐥𝐨𝐚𝐝 𝐘𝐨𝐮𝐫 𝐑𝐞𝐬𝐮𝐦𝐞👇:-   https://bit.ly/3ZGZMS9 Enter your experience & Complete The Registration Process Select the company name & apply for jobs

30-days learning plan to master Data Structures and Algorithms (DSA) and prepare for coding interviews. ### Week 1: Foundations and Basic Data Structures Day 1-3: Arrays and Strings - Topics to Cover: - Array basics, operations (insertion, deletion, searching) - String manipulation - Two-pointer technique, sliding window technique - Practice Problems: - Two Sum - Maximum Subarray - Reverse a String - Longest Substring Without Repeating Characters Day 4-5: Linked Lists - Topics to Cover: - Singly linked list, doubly linked list, circular linked list - Common operations (insertion, deletion, reversal) - Practice Problems: - Reverse a Linked List - Merge Two Sorted Lists - Remove Nth Node From End of List Day 6-7: Stacks and Queues - Topics to Cover: - Stack operations (push, pop, top) - Queue operations (enqueue, dequeue) - Applications (expression evaluation, backtracking, breadth-first search) - Practice Problems: - Valid Parentheses - Implement Stack using Queues - Implement Queue using Stacks ### Week 2: Advanced Data Structures Day 8-10: Trees - Topics to Cover: - Binary Trees, Binary Search Trees (BST) - Tree traversal (preorder, inorder, postorder, level order) - Practice Problems: - Invert Binary Tree - Validate Binary Search Tree - Serialize and Deserialize Binary Tree Day 11-13: Heaps and Priority Queues - Topics to Cover: - Binary heap (min-heap, max-heap) - Heap operations (insert, delete, extract-min/max) - Applications (heap sort, priority queues) - Practice Problems: - Kth Largest Element in an Array - Top K Frequent Elements - Find Median from Data Stream Day 14: Hash Tables - Topics to Cover: - Hashing concept, hash functions, collision resolution (chaining, open addressing) - Applications (caching, counting frequencies) - Practice Problems: - Two Sum (using hash map) - Group Anagrams - Subarray Sum Equals K ### Week 3: Algorithms Day 15-17: Sorting and Searching Algorithms - Topics to Cover: - Sorting algorithms (quick sort, merge sort, bubble sort, insertion sort) - Searching algorithms (binary search, linear search) - Practice Problems: - Merge Intervals - Search in Rotated Sorted Array - Sort Colors - Find Peak Element Day 18-20: Recursion and Backtracking - Topics to Cover: - Basic recursion, tail recursion - Backtracking (N-Queens, Sudoku solver) - Practice Problems: - Permutations - Combination Sum - Subsets - Word Search Day 21: Divide and Conquer - Topics to Cover: - Basic concept, merge sort, quick sort, binary search - Practice Problems: - Median of Two Sorted Arrays - Pow(x, n) - Kth Largest Element in an Array (using divide and conquer) - Maximum Subarray (using divide and conquer) ### Week 4: Graphs and Dynamic Programming Day 22-24: Graphs - Topics to Cover: - Graph representations (adjacency list, adjacency matrix) - Traversal algorithms (DFS, BFS) - Shortest path algorithms (Dijkstra's, Bellman-Ford) - Practice Problems: - Number of Islands Day 25-27: Dynamic Programming - Topics to Cover: - Basic concept, memoization, tabulation - Common problems (knapsack, longest common subsequence) - Practice Problems: - Longest Increasing Subsequence - Maximum Product Subarray Day 28: Advanced Topics and Miscellaneous - Topics to Cover: - Bit manipulation - Greedy algorithms - Miscellaneous problems (trie, segment tree, disjoint set) - Practice Problems: - Single Number - Decode Ways - Minimum Spanning Tree ### Week 5: Review and Mock Interviews Day 29: Review and Weakness Analysis - Activities:   - Review topics you found difficult   - Revisit problems you struggled with Day 30: Mock Interviews and Practice - Activities:   - Conduct mock interviews with a friend or use online platforms   - Focus on communication and explaining your thought process Top DSA resources to crack coding interview 👉 GeekforGeeks 👉 Leetcode 👉 DSA Steps 👉 FreeCodeCamp 👉 Coding Interviews 👉 Best DSA Resources Join for more: https://t.me/free4unow_backup ENJOY LEARNING 👍👍

❗️ WITH LISA YOU WILL START EARNING MONEY Lisa will leave a link with free entry to a channel that draws money every day. Each subscriber gets between $100 and $5,000. 👉🏻CLICK HERE TO JOIN THE CHANNEL 👈🏻 👉🏻CLICK HERE TO JOIN THE CHANNEL!👈🏻 👉🏻CLICK HERE TO JOIN THE CHANNEL 👈🏻 🚨FREE FOR THE FIRST 500 SUBSCRIBERS ONLY!

Mastering LinkedLists: Key Questions You Should Know Easy: 📌 Reverse Linked List: https://lnkd.in/g7qP9-YU 📌 Merge Two Sorted Lists: https://lnkd.in/gRfC6yyF 📌 Remove Nth Node From End of List: https://lnkd.in/gGnGF75X 📌 Delete Node in a Linked List: https://lnkd.in/gqzDgFpN 📌 Palindrome Linked List: https://lnkd.in/gmEjY4gr Medium: 📌 Add Two Numbers: https://lnkd.in/gvDxHySa 📌 Swap Nodes in Pairs: https://lnkd.in/gnhqwidB 📌 Odd Even Linked List: https://lnkd.in/gS2QpJAw 📌 Intersection of Two Linked Lists: https://lnkd.in/gpwnpK8M 📌 Rotate List: https://lnkd.in/gKg_3D34 Hard: 📌 Merge k Sorted Lists: https://lnkd.in/g7wK8H8v 📌 Reverse Nodes in k-Group: https://lnkd.in/gUNaexhD 📌 Copy List with Random Pointer: https://lnkd.in/gBWcFRKe 📌 LRU Cache: https://lnkd.in/gURyUMZK 📌 Flatten a Multilevel Doubly Linked List: https://lnkd.in/gCtgKNwn By understanding the answers to these questions, you can build a solid foundation for solving LinkedList-related problems and tackling algorithmic challenges! To help you discover job openings and resources, I have created a dedicated Job Posting Community. It's a great place to stay updated on the latest job opportunities! Join Here : https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

✅ Learn Trending Skills in 2025 🔰 1. Web Development ➝ ◀️ https://t.me/webdevcoursefree 2. CSS ➝ ◀️ http://css-tricks.com 3. JavaScript ➝ ◀️ http://t.me/javascript_courses 4. React ➝ ◀️ http://react-tutorial.app 5. Tailwind CSS ➝ ◀️ http://scrimba.com 6. Data Science  ➝ ◀️ https://t.me/datasciencefun 7. Python ➝ ◀️ http://pythontutorial.net 8. SQL ➝ ◀️  https://t.me/sqlanalyst ◀️ https://stratascratch.com/?via=free 9. Git and GitHub ➝ ◀️ http://GitFluence.com 10. Blockchain ➝ ◀️ https://t.me/Bitcoin_Crypto_Web 11. Mongo DB ➝ ◀️ http://mongodb.com 12. Node JS ➝ ◀️ http://nodejsera.com 13. English Speaking ➝ ◀️ https://t.me/englishlearnerspro 14. C#➝ ◀️https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/ 15. Excel➝ ◀️ https://t.me/excel_analyst 16. Generative AI➝ ◀️ https://t.me/generativeai_gpt 17. App Development ➝ ◀️ https://t.me/appsuser 18. Power BI ➝ ◀️ https://t.me/powerbi_analyst 19. Tableau ➝ ◀️ https://www.tableau.com/learn/training 20. Machine Learning ➝ ◀️ http://developers.google.com/machine-learning/crash-course 21. Artificial intelligence ➝ ◀️ http://t.me/machinelearning_deeplearning/ 22. Data Analytics ➝ ◀️ https://medium.com/@data_analyst ◀️ https://www.linkedin.com/company/sql-analysts 23. Java ➝ ◀️ https://t.me/Java_Programming_Notes ◀️ http://learn.microsoft.com/shows/java-for-beginners/ 24. C/C++ ➝ ◀️ http://imp.i115008.net/kjoq9V ◀️ https://docs.microsoft.com/en-us/cpp/c-language/?view=msvc-170&viewFallbackFrom=vs-2019 25. Data Structures ➝ ◀️ https://leetcode.com/study-plan/data-structure/ 26. Cybersecurity ➝ ◀️ https://t.me/EthicalHackingToday 27. Linux ➝ ◀️ https://bit.ly/3KhPdf1 ◀️ https://training.linuxfoundation.org/resources/ 28. Typescript ➝ ◀️ http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/ 29. Deep Learning ➝ ◀️ http://introtodeeplearning.com 30. Compiler Design ➝ ◀️ http://online.stanford.edu/courses/soe-ycscs1-compilers 31. DSA ➝ ◀️ http://techdevguide.withgoogle.com/paths/data-structures-and-algorithms/ 32. Prompt Engineering ➝ ◀️ https://www.promptingguide.ai/ ◀️ https://t.me/aiindi Join @free4unow_backup for more free courses Like for more ❤️ ENJOY LEARNING👍👍

Object-Oriented Design (OOD) Interview Interview-ready: Tools and courses to help you prepare for OOD interviews. Educative: Interactive learning paths for mastering design patterns and OOD principles. Codemia io They have recently added OOAD sections with many questions like parking lot design, vending machine design and much more. Head First Design Patterns Book: An engaging book that simplifies complex design patterns with practical examples.

AI Journey 2024: Glimpse into AI-Driven Future The AI Journey International Conference on Artificial Intelligence and Machine Learning will once again bring together developers, scientists, and AI enthusiasts. With 200+ speakers from more than ten countries, including China, India, UAE, Indonesia, and Iran, the conference will glimpse an AI-enriched future. AI Journey will be held in Moscow on December 11–13, with each day highlighting a different track: Society, Business, and Science. On December 11, the focus will be on Society, where BRICS experts, business, and government representatives will discuss the key role of technologies and AI as a means to address social issues. Attendees will gain insights into various AI-related success stories and how AI supports the sustainable development of the planet. December 12 will be dedicated to Business. This track will feature leading experts such as Jaspreet Bindra, Dr. Aisha Bint Butti Bin Bishr, Janet Sawari, Karuna Gopal , and Hammam Riza, who will elaborate on real-world implementation of AI in business, and how business and industry can benefit from it. December 13 will be all about Science. Sessions will feature international researchers sharing insights into the latest AI technology and the AI’s impact on research and science in general. Swagatam Das, Vladimir Spokoiny, Dedi Darwis, Gonzalo Ferrer, and other international experts will delve into the latest scientific advances ranging from generative models and quantum technologies to cybersecurity, educational tools, and medicine. Speakers from Sber, Moscow Institute of Physics and Technology, Innopolis University, and others will share how AI is transforming learning, development, reading, and art in everyday life. The Science Day will also immerse all AI newbies in the world of artificial intelligence with a special AIJ Junior track. The AI Journey will host the awards ceremony for the finalists of the AI Challenge for young data scientists and the AIJ Contest for experienced AI professionals. Join the live broadcast. Be up to date with the top AI news!

DSA INTERVIEW QUESTIONS AND ANSWERS 1. What is the difference between file structure and storage structure? The difference lies in the memory area accessed. Storage structure refers to the data structure in the memory of the computer system, whereas file structure represents the storage structure in the auxiliary memory. 2. Are linked lists considered linear or non-linear Data Structures? Linked lists are considered both linear and non-linear data structures depending upon the application they are used for. When used for access strategies, it is considered as a linear data-structure. When used for data storage, it is considered a non-linear data structure. 3. How do you reference all of the elements in a one-dimension array? All of the elements in a one-dimension array can be referenced using an indexed loop as the array subscript so that the counter runs from 0 to the array size minus one. 4. What are dynamic Data Structures? Name a few. They are collections of data in memory that expand and contract to grow or shrink in size as a program runs. This enables the programmer to control exactly how much memory is to be utilized.Examples are the dynamic array, linked list, stack, queue, and heap. 5. What is a Dequeue? It is a double-ended queue, or a data structure, where the elements can be inserted or deleted at both ends (FRONT and REAR). 6. What operations can be performed on queues? enqueue() adds an element to the end of the queue dequeue() removes an element from the front of the queue init() is used for initializing the queue isEmpty tests for whether or not the queue is empty The front is used to get the value of the first data item but does not remove it The rear is used to get the last item from a queue. 7. What is the merge sort? How does it work? Merge sort is a divide-and-conquer algorithm for sorting the data. It works by merging and sorting adjacent data to create bigger sorted lists, which are then merged recursively to form even bigger sorted lists until you have one single sorted list. 8.How does the Selection sort work? Selection sort works by repeatedly picking the smallest number in ascending order from the list and placing it at the beginning. This process is repeated moving toward the end of the list or sorted subarray. Scan all items and find the smallest. Switch over the position as the first item. Repeat the selection sort on the remaining N-1 items. We always iterate forward (i from 0 to N-1) and swap with the smallest element (always i). Time complexity: best case O(n2); worst O(n2) Space complexity: worst O(1) 9. What are the applications of graph Data Structure? Transport grids where stations are represented as vertices and routes as the edges of the graph Utility graphs of power or water, where vertices are connection points and edge the wires or pipes connecting them Social network graphs to determine the flow of information and hotspots (edges and vertices) Neural networks where vertices represent neurons and edge the synapses between them 10. What is an AVL tree? An AVL (Adelson, Velskii, and Landi) tree is a height balancing binary search tree in which the difference of heights of the left and right subtrees of any node is less than or equal to one. This controls the height of the binary search tree by not letting it get skewed. This is used when working with a large data set, with continual pruning through insertion and deletion of data. 11. Differentiate NULL and VOID ? Null is a value, whereas Void is a data type identifier Null indicates an empty value for a variable, whereas void indicates pointers that have no initial size Null means it never existed; Void means it existed but is not in effect You can check these resources for Coding interview Preparation Credits: https://t.me/free4unow_backup All the best 👍👍

𝐅𝐑𝐄𝐄 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐎𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 😍  Know The Roadmap To a Successful Data Science Career  Master The Art Of Data Visualization Without Any Experience – In Just 3 Months! Eligibility :- Students,Freshers & Woking Professionals  𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄 👇:-  https://bit.ly/3D7opjo (Limited Slots ..HurryUp🏃‍♂️ )  𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:-  12th Dec 2024, at 7 PM

Introducing 'CandyChat / CrushChat', the secret AI tool specifically designed for adults. 🤖 #1 NSFW-friendly AI chatbot on Telegram. Start a sweet conversation with your girl / boyfriend conveniently. Try for free↓ 👉  Want a girlfriend 👉  Want a boyfriend

Ad 👇👇

Tips for Google Interview Preparation Now that we know all about the hiring process of Google, here are a few tips which you can use to crack Google’s interview and get a job. Understand the work culture at Google well - It is always good to understand how the company works and what are the things that are expected out of an employee at Google. This shows that you are really interested in working at Google and leaves a good impression on the interviewer as well. Be Thorough with Data Structures and Algorithms - At Google, there is always an appreciation for good problem solvers. If you want to have a good impression on the interviewers, the best way is to prove that you have worked a lot on developing your logic structures and solving algorithmic problems. A good understanding of Data Structures and Algorithms and having one or two good projects always earn you brownie points with Amazon. Use the STAR method to format your Response - STAR is an acronym for Situation, Task, Action, and Result. The STAR method is a structured way to respond to behavioral based interview questions. To answer a provided question using the STAR method, you start by describing the situation that was at hand, the Task which needed to be done, the action taken by you as a response to the Task, and finally the Result of the experience. It is important to think about all the details and recall everyone and everything that was involved in the situation. Let the interviewer know how much of an impact that experience had on your life and in the lives of all others who were involved. It is always a good practice to be prepared with a real-life story that you can describe using the STAR method. Know and Describe your Strengths - Many people who interview at various companies, stay shy during the interviews and feel uncomfortable when they are asked to describe their strengths. Remember that if you do not show how good you are at the skills you know, no one will ever be able to know about the same and this might just cost you a lot. So it is okay to think about yourself and highlight your strengths properly and honestly as and when required. Discuss with your interviewer and keep the conversation going - Remember that an interview is not a written exam and therefore even if you come up with the best of solutions for the given problems, it is not worth anything until and unless the interviewer understands what you are trying to say. Therefore, it is important to make the interviewer that he or she is also a part of the interview. Also, asking questions might always prove to be helpful during the interview.