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
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Network:📈 Analytical overview of Telegram channel Coding Interview Resources
Channel Coding Interview Resources (@crackingthecodinginterview) in the English language segment is an active participant. Currently, the community unites 52 248 subscribers, ranking 2 474 in the Technologies & Applications category and 6 815 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 52 248 subscribers.
According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 31 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 1.85%. Within the first 24 hours after publication, content typically collects 0.76% reactions from the total number of subscribers.
- Post reach: On average, each post receives 966 views. Within the first day, a publication typically gains 398 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- Thematic interests: Content is focused on key topics such as array, stack, algorithm, programming, sort.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“This channel contains the free resources and solution of coding problems which are usually asked in the interviews.
Managed by: @love_data”
Thanks to the high frequency of updates (latest data received on 27 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
52 248
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Posts Archive
How to send follow up email to a recruiter 👇👇
Dear [Recruiter’s Name],
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SQL Interview Questions with Answers
1. How to change a table name in SQL?
This is the command to change a table name in SQL:
ALTER TABLE table_name
RENAME TO new_table_name;
We will start off by giving the keywords ALTER TABLE, then we will follow it up by giving the original name of the table, after that, we will give in the keywords RENAME TO and finally, we will give the new table name.
2. How to use LIKE in SQL?
The LIKE operator checks if an attribute value matches a given string pattern. Here is an example of LIKE operator
SELECT * FROM employees WHERE first_name like ‘Steven’;
With this command, we will be able to extract all the records where the first name is like “Steven”.
3. If we drop a table, does it also drop related objects like constraints, indexes, columns, default, views and sorted procedures?
Yes, SQL server drops all related objects, which exists inside a table like constraints, indexes, columns, defaults etc. But dropping a table will not drop views and sorted procedures as they exist outside the table.
4. Explain SQL Constraints.
SQL Constraints are used to specify the rules of data type in a table. They can be specified while creating and altering the table. The following are the constraints in SQL: NOT NULL CHECK DEFAULT UNIQUE PRIMARY KEY FOREIGN KEY
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• Backend Development
Build server-side systems
Handle logic, databases, APIs
Core skills
Languages: Java, Python, Node.js
Databases: MySQL, PostgreSQL, MongoDB
APIs: REST, GraphQL
Auth, caching, scalability
Who fits: Strong logic, system thinking, long-term products
• Frontend Development
Build user interfaces
Focus on user experience
Core skills
HTML, CSS, JavaScript
React, Angular, Vue
State management, browser performance
Who fits: Visual thinkers, UI focus, fast feedback lovers
• Mobile App Development
Build Android and iOS apps
Core skills
Android: Kotlin, Java
iOS: Swift
Flutter, React Native
App lifecycle
Who fits: Mobile-first mindset, product builders, app store focus
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Turn data into insights
Core skills
SQL, Excel
Python
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Core skills
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Statistics
Machine learning
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Core skills
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Core skills
Networking
Linux
Security tools
Risk analysis
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Core skills
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Who fits: Creative coders, graphics interest, real-time systems
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Still exploring 😮
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FREE sites to improve your coding knowledge 👨🏻💻📝 -
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⚛️ React - react-tutorial.app
🎡 Laravel - laracasts.com
🌟 VueJS - learnvue.co
🔍 SQL - t.me/sqlspecialist
🌈 Tailwind CSS - tailwindcss.com
🚀 Go - gobyexample.com
🐳 Docker - docker-curriculum.com
🦋 Flutter - flutter.dev/learn
🦀 Rust - rust-lang.org/learn
🧠 AI/ML - t.me/machinelearning_deeplearning
⚙️ DevOps - t.me/AWS_GCP_Azure
🧩 TypeScript - typescriptlang.org/learn
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9 tips to get better at debugging code:
Read error messages carefully — they often tell you everything
Use print/log statements to trace code execution
Check one small part at a time
Reproduce the bug consistently
Use a debugger to step through code line by line
Compare working vs broken code
Check for typos, null values, and off-by-one errors
Rubber duck debugging — explain your code out loud
Take breaks — fresh eyes spot bugs faster
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💻 Coding Interview Foundations — Part 1: Programming Language 🚀
Before jumping into Data Structures & Algorithms, master one programming language deeply. (Recommended: Python — simple, powerful, interview-friendly ⭐)
🔹 What You Must Master
✅ 1. Syntax & Basics
- Variables
- Data types → int, float, str, bool
- Lists, Tuples, Sets, Dictionaries
- Input / Output
- Type casting
👉 If syntax is weak → logic won’t help in interviews.
✅ 2. Loops & Conditions
- if-else statements
- for loop
- while loop
- break, continue
- Nested loops
🔥 Used in almost every coding problem.
✅ 3. Functions
- Function definition
- Parameters & return values
- Default arguments
- Recursion basics
✔ Helps write modular and structured code.
✅ 4. Important Built-in Libraries (Python Users ⭐)
- collections → Counter, defaultdict
- heapq → Priority Queue
- math
- itertools
Using built-ins efficiently = strong problem solving.
✅ 5. Writing Clean Code
- Meaningful variable names
- Small reusable functions
- Handle edge cases
- Clear logic structure
Interviewers evaluate thinking + code quality.
⏱️ Recommended Time
Beginner → 2 weeks
Intermediate → 4–5 days revision
Daily: 30 min concept revision
1–2 practice problems
❌ Avoid These Mistakes
- Learning multiple languages at once
- Jumping to advanced topics too early
- Memorizing solutions without understanding
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💻 Don’t Overwhelm to Prepare for Coding Interviews — It’s Only This Much 🚀
🔹 FOUNDATIONS (Must First)
1️⃣ Programming Language Mastery
- Choose one: Python ⭐ (most popular) Java C++ JavaScript
- Focus on: Syntax Loops & conditions Functions Built-in libraries Writing clean code
2️⃣ Time & Space Complexity
- Big-O notation
- Time vs space tradeoff
- Best / average / worst case
- Complexity analysis
🔥 Very important for interviews
3️⃣ Problem Solving Basics
- Pattern recognition
- Breaking problems into steps
- Writing pseudocode
- Edge case handling
🔥 CORE DATA STRUCTURES (HIGH PRIORITY)
4️⃣ Arrays
- Traversal
- Two pointer technique
- Sliding window
- Prefix sum (🔥 Most asked topic)
5️⃣ Strings
- Manipulation
- Palindrome problems
- Pattern matching
6️⃣ Hashing
- HashMap / Dictionary
- Frequency counting
- Fast lookup problems
7️⃣ Linked List
- Insert/delete operations
- Reverse list
- Fast & slow pointer
8️⃣ Stack & Queue
- LIFO / FIFO
- Valid parentheses
- Monotonic stack
9️⃣ Trees
- Binary tree traversal
- Binary Search Tree
- Recursion
- Tree depth / height (🔥 Very important)
🔟 Heap / Priority Queue
- Min / max heap
- Top K problems
1️⃣1️⃣ Graphs
- BFS / DFS
- Shortest path
- Cycle detection
🚀 ALGORITHMS (CORE INTERVIEW TOPICS)
1️⃣2️⃣ Searching Algorithms
- Linear search
- Binary search
1️⃣3️⃣ Sorting Algorithms
- Quick sort
- Merge sort
- Heap sort
1️⃣4️⃣ Recursion & Backtracking
- Subsets
- Permutations
- N-Queens
1️⃣5️⃣ Greedy Algorithms
- Activity selection
- Interval problems
1️⃣6️⃣ Dynamic Programming (DP)
- Memoization
- Tabulation
- Knapsack problems (🔥 Hard but high-value topic)
⚙️ INTERVIEW SKILLS
1️⃣7️⃣ Coding Patterns (Must Know ⭐)
- Two pointers
- Sliding window
- Fast & slow pointers
- Divide & conquer
- Backtracking
- BFS / DFS patterns
1️⃣8️⃣ Writing Clean Code
- Readable variable names
- Modular functions
- Handling edge cases
1️⃣9️⃣ Debugging Skills
- Test cases
- Dry run
- Error fixing
2️⃣0️⃣ Communication During Interview
- Explain approach first
- Think aloud
- Discuss complexity (🔥 Often ignored but important)
🌟 ADVANCED / TOP COMPANY PREP
2️⃣1️⃣ System Design Basics
- Scalability
- Load balancing
- Architecture concepts
2️⃣2️⃣ Object-Oriented Design
- Classes & objects
- Design principles
- Low-level design
2️⃣3️⃣ Competitive Programming (Optional)
- Codeforces
- LeetCode contests
⭐ Best Practice Platforms
- LeetCode ⭐
- HackerRank
- Codeforces
- GeeksforGeeks
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✅ 🔤 A–Z of Full Stack Development
A – Authentication
Verifying user identity using methods like login, tokens, or biometrics.
B – Build Tools
Automate tasks like bundling, transpiling, and optimizing code (e.g., Webpack, Vite).
C – CRUD
Create, Read, Update, Delete – the core operations of most web apps.
D – Deployment
Publishing your app to a live server or cloud platform.
E – Environment Variables
Store sensitive data like API keys securely outside your codebase.
F – Frameworks
Tools that simplify development (e.g., React, Express, Django).
G – GraphQL
A query language for APIs that gives clients exactly the data they need.
H – HTTP (HyperText Transfer Protocol)
Foundation of data communication on the web.
I – Integration
Connecting different systems or services (e.g., payment gateways, APIs).
J – JWT (JSON Web Token)
Compact way to securely transmit information between parties for authentication.
K – Kubernetes
Tool for automating deployment and scaling of containerized applications.
L – Load Balancer
Distributes incoming traffic across multiple servers for better performance.
M – Middleware
Functions that run during request/response cycles in backend frameworks.
N – NPM (Node Package Manager)
Tool to manage JavaScript packages and dependencies.
O – ORM (Object-Relational Mapping)
Maps database tables to objects in code (e.g., Sequelize, Prisma).
P – PostgreSQL
Powerful open-source relational database system.
Q – Queue
Used for handling background tasks (e.g., RabbitMQ, Redis queues).
R – REST API
Architectural style for designing networked applications using HTTP.
S – Sessions
Store user data across multiple requests (e.g., login sessions).
T – Testing
Ensures your code works as expected (e.g., Jest, Mocha, Cypress).
U – UX (User Experience)
Designing intuitive and enjoyable user interactions.
V – Version Control
Track and manage code changes (e.g., Git, GitHub).
W – WebSockets
Enable real-time communication between client and server.
X – XSS (Cross-Site Scripting)
Security vulnerability where attackers inject malicious scripts into web pages.
Y – YAML
Human-readable data format often used for configuration files.
Z – Zero Downtime Deployment
Deploy updates without interrupting the running application.
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✅ Backend Basics Interview Questions – Part 1 (Node.js) 🧠💻
📍 1. What is Node.js?
A: Node.js is a runtime environment that lets you run JavaScript on the server side. It uses Google’s V8 engine and is designed for building scalable network applications.
📍 2. How is Node.js different from traditional server-side platforms?
A: Unlike PHP or Java, Node.js is event-driven and non-blocking. This makes it lightweight and efficient for I/O-heavy operations like APIs and real-time apps.
📍 3. What is the role of the package.json file?
A: It stores metadata about your project (name, version, scripts) and dependencies. It’s essential for managing and sharing Node.js projects.
📍 4. What are CommonJS modules in Node.js?
A: Node uses CommonJS to handle modules. You use require() to import and module.exports to export code between files.
📍 5. What is the Event Loop in Node.js?
A: It allows Node.js to handle many connections asynchronously without blocking. It’s the heart of Node’s non-blocking architecture.
📍 6. What is middleware in Node.js (Express)?
A: Middleware functions process requests before sending a response. They can be used for logging, auth, validation, etc.
📍 7. What is the difference between process.nextTick(), setTimeout(), and setImmediate()?
A:
⦁ process.nextTick() runs after the current operation, before the next event loop.
⦁ setTimeout() runs after a minimum delay.
⦁ setImmediate() runs on the next cycle of the event loop.
📍 8. What is a callback function in Node.js?
A: A function passed as an argument to another function, executed after an async task finishes. It’s the core of async programming in Node.
📍 9. What are Streams in Node.js?
A: Streams let you read/write data piece-by-piece (chunks), great for handling large files. Types: Readable, Writable, Duplex, Transform.
📍 10. What is the difference between require and import?
A:
⦁ require is CommonJS (used in Node.js by default).
⦁ import is ES6 module syntax (used with "type": "module" in package.json).
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