Coding Interview Resources
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This channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_data
Ko'proq ko'rsatish
Tarmoq:📈 Telegram kanali Coding Interview Resources analitikasi
Coding Interview Resources (@crackingthecodinginterview) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 52 249 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 470-o'rinni va Hindiston mintaqasida 6 682-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 52 249 obunachiga ega bo‘ldi.
14 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -54 ga, so‘nggi 24 soatda esa 19 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 1.68% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.70% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 878 marta ko‘riladi; birinchi sutkada odatda 366 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent array, stack, algorithm, programming, sort kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“This channel contains the free resources and solution of coding problems which are usually asked in the interviews.
Managed by: @love_data”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 15 Sentabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
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Kanal postlari
| 2 |  🎓 𝗧𝗼𝗽 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟲 🔥
Explore these FREE certification courses in today’s most in-demand technology fields:
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💻 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 :- https://pdlink.in/4gP18Eo
💫 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 :- https://pdlink.in/45HWa5Q
☁️ 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 :- https://pdlink.in/4zrksPn
🟧 𝗔𝗪𝗦 :- https://pdlink.in/4j4Jxtv
🛡️ 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗔𝘇𝘂𝗿𝗲 :- https://pdlink.in/4f0GNuH
⚡ Start learning today and prepare yourself for better career opportunities in 2026! | 104 |
| 3 |  🚀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝘁𝗼 𝗚𝗲𝘁 𝗮 𝗛𝗶𝗴𝗵-𝗣𝗮𝘆𝗶𝗻𝗴 𝗝𝗼𝗯 𝗶𝗻 𝟮𝟬𝟮𝟲 📊
Build job-ready skills through live online classes, practical assignments and real-world projects.
💼 End-to-End Placement Support
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🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄 👇
https://pdlink.in/45vk5ph
⚡Prepare for roles such as Data Analyst, Business Analyst, BI Analyst and Reporting Analyst. | 361 |
| 4 | 7 Free AI APIs to build your next project 👇
1/ Google Gemini API — https://ai.google.dev
2/ Groq — https://console.groq.com
3/ OpenRouter — https://openrouter.ai
4/ Cloudflare Workers AI — https://developers.cloudflare.com/workers-ai
5/ Pollinations.ai — https://pollinations.ai (no key needed)
6/ Hugging Face Inference API — https://huggingface.co/inference-api
7/ Cerebras — https://cloud.cerebras.ai | 530 |
| 5 |  🚀 𝗧𝗼𝗽 𝟯 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 🔥
💫 Artificial Intelligence (AI)
📊 Data Analytics
🔐 Cybersecurity
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4y2XyN1
🎯 Perfect for Students • Freshers • Beginners • Tech Enthusiasts
💡 Learn for FREE → Build Skills → Upgrade Your Career | 669 |
| 6 | ✅ Top Programming Concepts Every Developer Should Know 👨💻🔥
🐍 Python BASICS
1. Variables Data Types
2. Loops (for, while)
3. Functions
4. Lists, Tuples, Dictionaries
5. Exception Handling
6. File Handling
7. Modules Packages
8. OOP Concepts
☕ Java CORE
1. JVM JDK Basics
2. Classes Objects
3. Inheritance
4. Polymorphism
5. Exception Handling
6. Multithreading
7. Collections Framework
8. File I/O
💻 C++ FUNDAMENTALS
1. Pointers
2. Memory Management
3. OOP Concepts
4. STL (Standard Template Library)
5. Recursion
6. File Handling
7. Templates
8. Data Structures
🟨 JavaScript ESSENTIALS
1. DOM Manipulation
2. ES6+ Features
3. Async/Await
4. Promises
5. Event Handling
6. Closures
7. APIs Fetch
8. JSON Handling
🟥 Swift CORE SKILLS
1. Optionals
2. Closures
3. Protocols
4. Memory Management (ARC)
5. UIKit / SwiftUI
6. Error Handling
7. Networking
8. App Lifecycle
🟩 C# KEY CONCEPTS
1. .NET Framework
2. LINQ
3. Async Programming
4. Delegates Events
5. Entity Framework
6. OOP Concepts
7. Exception Handling
8. Windows Forms / WPF
💡 BONUS (Common for All Languages)
✔ Data Structures
✔ Algorithms
✔ Debugging
✔ Version Control (Git)
✔ Problem Solving
💬 Double Tap ❤️ For More | 957 |
| 7 |  𝗧𝗼𝗽 𝟱 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗮𝗿𝗲𝗲𝗿 📊
Want to start a career in Data Science without spending money?
Here are 5 beginner-friendly learning resources covering essential skills such as Python, SQL, Machine Learning and hands-on projects.
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4ilAmok
🎯 Perfect for Students • Freshers • Beginners • Aspiring Data Scientists
💡 Learn → Practice → Build Projects → Create Your Portfolio | 789 |
| 8 | ✅ Programming Concepts – Interview Questions 💻⚡
🧠 Core Programming Concepts
1. What is the difference between compiled and interpreted languages?
2. What is OOP? Explain its 4 pillars.
3. Difference between Abstraction vs Encapsulation?
4. What is Polymorphism? Give a real example.
5. What is the difference between Stack and Heap memory?
6. What is Recursion? When should you avoid it?
7. What is the difference between Pass by Value and Pass by Reference?
8. What are mutable vs immutable objects?
9. What is a deadlock?
10. What is multithreading?
🧩 Data Structures & Algorithms Concepts
1. What is Time Complexity?
2. Difference between Array and Linked List?
3. When would you use a HashMap?
4. Explain Binary Search and its complexity.
5. What is a Stack Overflow error?
6. What is a Queue vs Priority Queue?
7. What is Dynamic Programming?
8. What is Greedy Algorithm?
9. Explain Big-O notation.
10. What is Space Complexity?
🗄 Database & SQL Concepts
1. What is Normalization?
2. Difference between Primary Key and Foreign Key?
3. What is Indexing and why is it used?
4. Difference between INNER JOIN and LEFT JOIN?
5. What is a Transaction? Explain ACID properties.
🌐 System & Backend Concepts
1. What is an API?
2. Difference between REST and SOAP?
3. What is Authentication vs Authorization?
4. What is Caching?
5. What is Load Balancing?
⚡ Advanced Conceptual Questions
1. What is Dependency Injection?
2. What is Design Pattern? Name some common ones.
3. What is Microservices Architecture?
4. What is Event-Driven Architecture?
5. What is Race Condition?
6. What is Memory Leak?
7. Explain Garbage Collection.
8. What is Lazy Loading?
9. What is Idempotency in APIs?
10. What is SOLID principle?
Double Tap ♥️ For Detailed Answers
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1.34 ₽ · /balance_help | 770 |
| 9 |  𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
💫Accelerate your career in Data Science
💫Discover the skills, tools and career roadmap needed to enter this high-demand field.
🔥 Beginner-friendly online session—no prior experience required!
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/46adC3l
(Only few slots left )
📅 Date: September 11, 2026
⏰ Time: 7:00 PM | 632 |
| 10 |  🚀 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗛𝗶𝗴𝗵-𝗣𝗮𝘆𝗶𝗻𝗴 𝗝𝗼𝗯𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲😍
💰 Highest Salary: ₹41 LPA
📈 Average Salary: ₹7.4 LPA
🎓 2,000+ Students Placed
🏢 500+ Hiring Partners
💻 Full Stack :- https://pdlink.in/3SuUeuD
📊 Data Analytics :- https://pdlink.in/45vk5ph
💫AI Engineering :- https://pdlink.in/4fWJVID
🔥 Take the first step towards your high-paying tech career in 2026! | 702 |
| 11 |  🚀 𝗧𝗔𝗧𝗔 𝗚𝗿𝗼𝘂𝗽 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 😍
Tata Group/TCS virtual job simulations let you work through industry-style tasks and strengthen your resume.
🎓 3 FREE Virtual Programs:
📊 Data Visualisation
🔐 Cybersecurity
🌱 ESG (Environmental, Social & Governance)
💻 Virtual & flexible
🎓 Free Certificate on Completion
📄 Add the experience to your Resume/LinkedIn
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4yoXEOI
🔥 Perfect for Students • Freshers • Job Seekers | 824 |
| 12 |  🚀 𝗙𝗥𝗘𝗘 𝗖𝗶𝘁𝗶 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 😍 | Boost Your Resume
Citi offers virtual experience programs designed to help students and freshers develop job-ready skills through real-world tasks.
✅ 100% FREE
✅ Self-paced learning
✅ Real-world projects
✅ Certificate on completion
✅ Add the experience to your Resume & LinkedIn
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4zZqJ4U
🔥 Learn → Complete Projects → Earn Certificate → Strengthen Your Resume | 938 |
| 13 | What to do and What to avoid!
When sitting in front of an interviewer, your actions and words can make or break your chances.
It’s more than just answering questions, it's about presenting yourself as the ideal candidate.
Here are some clear do's and don'ts to keep in mind.
📌Do:
1. Be Prepared.
2. Dress Appropriately.
3. Be Punctual.
4. Maintain Good Posture.
5. Listen Carefully.
6. Ask Thoughtful Questions.
7. Be Honest.
📌Don't:
1. Don’t Fidget.
2. Don’t Speak Negatively About Past Employers.
3. Don’t Interrupt.
4. Don’t Overshare.
5. Don’t Forget to Follow Up.
By keeping these dos and don’ts in mind, you’ll be better prepared to make a strong impression in your interview.
Good luck! | 863 |
| 14 |  🚀 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝗶𝗻 𝟮𝟬𝟮𝟲 🔥
Want to upgrade your tech skills without spending money?
Here are some excellent FREE YouTube resources to learn high-demand technologies through tutorials and hands-on practice.
🔥 Learn → Practice → Build Projects → Upgrade Your Resume
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4x3B9hb
🎯 Perfect for Students • Freshers • Job Seekers • Working Professionals | 733 |
| 15 | ✅ 10 Useful Python Interview Code Snippets 🐍💼
1. Reverse a string:
s = "hello"
print(s[::-1]) # Output: 'olleh'
2. Check for a palindrome:
def is_palindrome(s):
return s == s[::-1]
3. Count word frequency in a list:
from collections import Counter
words = ['apple', 'banana', 'apple']
print(Counter(words))
4. Swap two variables:
a, b = 5, 10
a, b = b, a
5. Fibonacci using recursion:
def fib(n):
return n if n <= 1 else fib(n-1) + fib(n-2)
6. Find duplicate elements:
lst = [1,2,3,2,4]
duplicates = set([x for x in lst if lst.count(x) > 1])
7. Check if list is sorted:
def is_sorted(lst):
return lst == sorted(lst)
8. Flatten a 2D list:
matrix = [[1, 2], [3, 4]]
flat = [num for row in matrix for num in row]
9. Read a file line by line:
with open('file.txt') as f:
for line in f:
print(line.strip())
10. Lambda & Map usage:
nums = [1, 2, 3]
squares = list(map(lambda x: x**2, nums))
💡 Practice these with variations, especially for lists, strings, and dictionaries.
💬 Tap ❤️ for more!
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1.45 ₽ · /balance_help | 828 |
| 16 |  🚀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝗻 𝗔𝘇𝘂𝗿𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ☁️
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| 19 | 29. What is prefix sum?
30. What is binary lifting?
31. What is topological sorting?
32. What is Dijkstra's algorithm?
33. What is Bellman-Ford algorithm?
34. What is Floyd-Warshall algorithm?
35. What is Kruskal's algorithm?
36. What is Prim's algorithm?
37. What is Kadane's algorithm?
38. What is KMP algorithm?
39. What is Rabin-Karp algorithm?
40. What is Huffman coding?
💻 5. Programming Languages
1. What is C?
2. What is C++?
3. What is Java?
4. What is Python?
5. What is JavaScript?
6. Difference between compiled and interpreted languages?
7. What is garbage collection?
8. What is memory management?
9. What is pointer?
10. What is reference?
11. Pointer vs Reference?
12. What is exception handling?
13. What is multithreading?
14. What is concurrency?
15. What is synchronization?
16. What is deadlock?
17. What is race condition?
18. What is lambda function?
19. What are generics?
20. What is iterator?
21. What is collection framework?
22. What is immutable object?
23. What is mutable object?
24. What is package/module?
25. What is namespace?
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1. What is a database?
2. What is SQL?
3. Difference between SQL and NoSQL?
4. What is normalization?
5. What is denormalization?
6. What is a primary key?
7. What is a foreign key?
8. What are joins?
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10. What is indexing?
11. What is a transaction?
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16. What is aggregate function?
17. What is GROUP BY?
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20. What is database optimization?
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| 20 | 🚀 Top 200 Coding Interview Questions
🧠 1. Programming Fundamentals
1. What is programming?
2. What is an algorithm?
3. What is pseudocode?
4. What is a flowchart?
5. What is a variable?
6. What are data types?
7. What is type casting?
8. What are operators in programming?
9. What are conditional statements?
10. What are loops?
11. Difference between for, while, and do-while loops?
12. What are functions?
13. Difference between parameters and arguments?
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15. What is scope?
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17. What are arrays?
18. What are strings?
19. What is debugging?
20. What are syntax, logical, and runtime errors?
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2. What is a class?
3. What is an object?
4. What is encapsulation?
5. What is abstraction?
6. What is inheritance?
7. What is polymorphism?
8. What is method overloading?
9. What is method overriding?
10. Difference between overloading and overriding?
11. What is a constructor?
12. Types of constructors?
13. What is destructor?
14. What is static keyword?
15. What is final keyword?
16. What is interface?
17. What is abstract class?
18. Difference between interface and abstract class?
19. What is object cloning?
20. What are access modifiers?
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2. Types of data structures?
3. What is an array?
4. What is a linked list?
5. Types of linked lists?
6. What is a stack?
7. What is a queue?
8. Difference between stack and queue?
9. What is a deque?
10. What is a priority queue?
11. What is a hash table?
12. What is hashing?
13. What are collisions in hashing?
14. What is a binary tree?
15. What is a binary search tree?
16. What is AVL tree?
17. What is heap?
18. Min Heap vs Max Heap?
19. What is a graph?
20. Types of graphs?
21. What is graph traversal?
22. BFS vs DFS?
23. What is a trie?
24. What is a segment tree?
25. What is Fenwick tree?
26. What is disjoint set Union-Find?
27. What is adjacency matrix?
28. What is adjacency list?
29. What is a circular linked list?
30. What is doubly linked list?
31. What is a sparse matrix?
32. What is dynamic array?
33. What is load factor?
34. What is collision resolution?
35. Linear probing vs chaining?
36. What is tree traversal?
37. Preorder vs Inorder vs Postorder?
38. What is level-order traversal?
39. What is recursion stack?
40. Time complexity of common data structures?
🚀 4. Algorithms
1. What is an algorithm?
2. What is time complexity?
3. What is space complexity?
4. What is Big O notation?
5. What is Big Theta notation?
6. What is Big Omega notation?
7. What is binary search?
8. What is linear search?
9. Difference between linear and binary search?
10. What is merge sort?
11. What is quick sort?
12. What is bubble sort?
13. What is insertion sort?
14. What is selection sort?
15. What is heap sort?
16. What is counting sort?
17. What is radix sort?
18. What is divide and conquer?
19. What is greedy algorithm?
20. What is dynamic programming?
21. What is memoization?
22. What is tabulation?
23. What is backtracking?
24. What is branch and bound?
25. What is recursion?
26. What is tail recursion?
27. What is sliding window?
28. What is two pointers technique? | 716 |
