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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کانال Coding Interview Resources (@crackingthecodinginterview) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 52 240 مشترک است و جایگاه 2 494 را در دسته فناوری و برنامهها و رتبه 6 880 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 52 240 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 25 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 56 و در ۲۴ ساعت گذشته برابر -5 بوده و همچنان دسترسی گستردهای حفظ شده است.
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- علایق موضوعی: محتوا بر موضوعات کلیدی مانند array, stack, algorithm, programming, sort تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“This channel contains the free resources and solution of coding problems which are usually asked in the interviews.
Managed by: @love_data”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 26 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
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| 5 | If you can't recreate the logic, you probably haven't fully understood it yet.
1️⃣1️⃣ EXPLAIN YOUR SOLUTION OUT LOUD
After solving a problem, explain:
• 👉 What approach did I use?
• 👉 Why does it work?
• 👉 What is the time complexity?
• 👉 Could I solve it another way?
If you can explain your solution clearly, your understanding is becoming stronger.
1️⃣2️⃣ PRACTICE CONSISTENTLY
Don't solve 30 problems today and then nothing for three weeks.
• Beginner → 1–2 problems daily
• Focus on understanding rather than quantity
💯 Choose a problem → Understand input & output → Solve manually → Write the steps → Convert steps into pseudocode → Write code → Test it → Debug mistakes → Check another approach → Explain what you learned
💡You don't improve coding logic by watching more tutorials. You improve it by sitting with problems, getting stuck, trying different approaches, making mistakes — and eventually figuring out why something works.
💬 Double Tap ❤️ For More | 793 |
| 6 | 🧠 HOW TO IMPROVE YOUR CODING LOGIC AS A BEGINNER 💻🔥
You know variables. You understand loops. You can write functions.
But when someone gives you a coding problem… you don't know where to start.
This is completely normal for beginners. Coding logic isn't something you memorize. It's something you build through practice.
Here's how 👇
1️⃣ SOLVE THE PROBLEM WITHOUT CODE FIRST
Before touching the keyboard, ask:
👉 How would I solve this manually?
Example: Find the largest number in [4, 9, 2, 7]
Think:
• Start with "4"
• Compare with "9" → largest = "9"
• Compare with "2" → largest remains "9"
• Compare with "7" → largest remains "9"
Now convert those steps into code.
💡 If you can't explain the solution in simple words, writing the code will be difficult.
2️⃣ BREAK BIG PROBLEMS INTO SMALLER PROBLEMS
Don't think: ❌ "How do I build this entire program?"
Think:
• ✅ What input do I need?
• ✅ What data should I store?
• ✅ What calculation should happen?
• ✅ What conditions should I check?
• ✅ What should I return?
Solve one small piece at a time.
3️⃣ PRACTICE PATTERN RECOGNITION
Many coding problems are variations of patterns you've already seen.
For example:
• "Find maximum value"
• "Find minimum value"
• "Calculate total"
• "Count occurrences"
All involve traversing data and maintaining some information. The more problems you solve, the faster you'll recognize these patterns.
4️⃣ TRACE CODE ON PAPER
Take a small piece of code:
total = 0
for num in [2, 4, 6]: total += num
Trace it manually:
• Start → total = 0
• After "2" → total = 2
• After "4" → total = 6
• After "6" → total = 12
Tracing teaches you how programs actually execute.
5️⃣ MASTER LOOPS & CONDITIONS
A huge number of beginner problems can be solved using:
• Variables
• Loops
• Conditions
Before jumping into advanced algorithms, become comfortable combining basic concepts.
6️⃣ ASK THE RIGHT QUESTIONS
When solving a problem, ask:
• 🔹 What information do I need to remember?
• 🔹 Do I need to check every element?
• 🔹 Do I need a counter?
• 🔹 Do I need to compare values?
• 🔹 Do I need to store previous results?
• 🔹 Can a list, set, or dictionary make this easier?
7️⃣ START WITH BRUTE FORCE
Don't obsess over finding the perfect solution immediately.
First ask: "What's the simplest solution that works?"
• Write it
• Test it
• Understand it
• Then ask: "Can I make this faster or simpler?"
Correct → Optimize. Not: Optimize → Hope it's correct.
8️⃣ SOLVE VARIATIONS OF THE SAME PROBLEM
Suppose you solve: "Find the largest number." Now try:
• 👉 Find the smallest number
• 👉 Find the second largest
• 👉 Find the largest even number
• 👉 Find the largest without using max()
• 👉 Find the largest and its position
One problem can teach you several concepts.
9️⃣ DON'T LOOK AT THE SOLUTION TOO QUICKLY
Getting stuck is part of learning.
Give yourself some time:
• Try examples
• Draw the problem
• Write pseudocode
• Test ideas
If you're still stuck, look at a hint first — not the complete solution.
🔟 AFTER SEEING A SOLUTION, RECREATE IT
Reading a solution can make you think: "Oh, I understand it."
Close the solution. Now write it yourself. | 562 |
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| 9 | 1️⃣2️⃣ DON'T CHANGE EVERYTHING AT ONCE
Suppose your code has a bug.
Don't change five different things and run it again.
Instead:
👉 Change one thing
👉 Run the program
👉 Observe the result
👉 Understand what changed
This makes it much easier to identify the actual cause.
1️⃣3️⃣ REPRODUCE THE BUG
Before fixing a problem, make sure you can consistently reproduce it.
Ask:
"When exactly does this error happen?"
For example:
❌ It fails sometimes.
Better:
✅ It fails when the input list is empty.
Now you have a specific problem to investigate.
1️⃣4️⃣ FIX THE ROOT CAUSE
Don't just hide the error.
Example:
If a variable becomes "None" unexpectedly, don't simply add code that ignores "None".
Find out:
👉 Why did it become "None"?
Fixing the root cause prevents the same problem from appearing elsewhere.
1️⃣5️⃣ RETEST AFTER FIXING
Your job isn't finished when the error disappears.
Run:
✅ The original test
✅ Normal cases
✅ Edge cases
✅ Related functionality
A fix can sometimes create a new bug.
🔥 THE DEBUGGING FORMULA
Read the error
↓
Find the location
↓
Understand the error
↓
Check variables & data types
↓
Reproduce the problem
↓
Test with simple input
↓
Debug step by step
↓
Fix the root cause
↓
Test again
💡 REMEMBER:
Every programmer writes buggy code.
The difference between a beginner and an experienced programmer isn't that experienced programmers never make mistakes.
They know how to find, understand, and fix them.
💬 Double Tap ❤️ For More
-----
2.23 ₽ · /balance_help | 584 |
| 10 | 💻 HOW TO DEBUG YOUR CODE 🐛🔍
1️⃣ READ THE ERROR MESSAGE
Don't ignore the error.
An error message usually tells you:
👉 What went wrong
👉 Where it happened
👉 Sometimes why it happened
Example:
"NameError: name 'total' is not defined"
This tells you that Python cannot find a variable called "total".
2️⃣ CHECK THE LINE NUMBER
Most programming errors tell you where the problem occurred.
Go directly to that line.
Then check:
• Variable names
• Syntax
• Data types
• Function calls
• Missing brackets
• Incorrect indentation
3️⃣ UNDERSTAND THE ERROR TYPE
Common errors beginners encounter:
"SyntaxError" → Code doesn't follow the language syntax.
"NameError" → You used a name that hasn't been defined.
"TypeError" → An operation was performed on an incompatible data type.
"IndexError" → You tried to access an invalid index.
"KeyError" → A dictionary key doesn't exist.
"ValueError" → A value has the wrong format or isn't acceptable.
👉 Learn what common errors mean instead of simply searching for fixes.
4️⃣ CHECK YOUR ASSUMPTIONS
Sometimes your code runs without an error but produces the wrong result.
Example:
"age = "25""
You might think "age" contains a number.
But it actually contains a string.
Always ask:
👉 What type is this variable?
👉 What value does it currently contain?
5️⃣ PRINT INTERMEDIATE VALUES
When you're unsure what is happening, inspect your variables.
Example:
"print(total)"
"print(count)"
"print(average)"
This helps you understand how the values change while your program runs.
6️⃣ BREAK THE PROBLEM INTO SMALL PARTS
Don't debug 200 lines of code at once.
Separate the problem.
Instead of asking:
❌ "Why doesn't my program work?"
Ask:
✅ "Is my input correct?"
Then:
✅ "Is my calculation correct?"
Then:
✅ "Is my loop working?"
Then:
✅ "Is my output correct?"
Small questions are easier to solve.
7️⃣ CHECK YOUR LOOP
Loops are a common source of bugs.
Check:
👉 Where does the loop start?
👉 When does it stop?
👉 Is the condition correct?
👉 Is the variable being updated?
👉 Could this become an infinite loop?
Example:
"while count < 10:"
" print(count)"
" count += 1"
If "count" never changes, the loop may never end.
8️⃣ CHECK YOUR DATA TYPES
Many bugs happen because developers expect one type but receive another.
Example:
""10" + "20""
Result:
""1020""
But:
10 + 20
Result:
30
The values look similar, but their data types are different.
9️⃣ TEST WITH SIMPLE INPUT
If your program fails with complicated data, simplify it.
Instead of:
[15, 82, 43, 91, 27, 64, 10]
Try:
[1, 2, 3]
Then:
[1]
Then:
[]
Simple inputs make problems easier to identify.
🔟 TEST EDGE CASES
Always test unusual situations.
Examples:
• Empty input
• One element
• Duplicate values
• Negative numbers
• Very large numbers
• Missing values
• Invalid input
A solution isn't truly reliable until you understand how it behaves in these situations.
1️⃣1️⃣ USE A DEBUGGER
As your programs become larger, use debugging tools.
A debugger allows you to:
🔹 Pause execution
🔹 Inspect variables
🔹 Execute code step by step
🔹 Set breakpoints
🔹 Find where the logic goes wrong
This is much more powerful than adding "print()" everywhere. | 523 |
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| 12 |  ☁️ 𝟰 𝗙𝗥𝗘𝗘 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗕𝘂𝗶𝗹𝗱 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗖𝗹𝗼𝘂𝗱 𝗦𝗸𝗶𝗹𝗹𝘀
Explore these Google Cloud learning resources covering cloud fundamentals, infrastructure, networking, security, data and AI/ML.
🔥 4 Courses to Explore:
1️⃣ Cloud Computing Fundamentals
2️⃣ Infrastructure in Google Cloud
3️⃣ Networking & Security in Google Cloud
4️⃣ Data, ML & AI in Google Cloud
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-
https://pdlink.in/4zrksPn
🎯 Perfect for Students | Freshers | Developers | Cloud & DevOps Aspirants | 660 |
| 13 |  𝗪𝗢𝗥𝗞 𝗙𝗥𝗢𝗠 𝗛𝗢𝗠𝗘 𝗝𝗢𝗕 𝗢𝗣𝗣𝗢𝗥𝗧𝗨𝗡𝗜𝗧𝗬 😍
Company Name :- AI InsurTech Company
💼 𝗥𝗼𝗹𝗲: Backend Developer
💰 𝗦𝗮𝗹𝗮𝗿𝘆: ₹5 LPA
🏠 𝗪𝗼𝗿𝗸 𝗠𝗼𝗱𝗲: Work From Home
📍 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Hyderabad / Remote
🎓 𝗪𝗵𝗼 𝗖𝗮𝗻 𝗔𝗽𝗽𝗹𝘆?
✅ BTech/BE graduates
✅ Branches: CS, IT, AI, ML and Data-related streams
✅ Graduation Years: 2025 and 2026
🔗 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄 👇:-
https://pdlink.in/4xIfsE4
⚡ Apply early and share this opportunity with your friends! | 792 |
| 14 |  𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
💫Kickstart Your Data Science Career
💫Join this Masterclass for an expert-led session on Data Science
Eligibility :- Students ,Freshers & Working Professionals
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4xOh5jA
(Only few slots left )
Date & Time :- 21st August 2026 & 7PM | 815 |
| 15 |  🎓 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟲 🚀
Want to build job-ready skills and strengthen your resume? Start learning these in-demand technologies for FREE! 🔥
📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :- https://pdlink.in/4qn5q94
💫 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4zrkYNg
☁️ 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 :- https://pdlink.in/4wzy6Ny
🛡️ 𝗖𝘆𝗯𝗲𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 :- https://pdlink.in/4xMJNl5
🔁 𝗦𝗵𝗮𝗿𝗲 this with your friends and classmates! | 885 |
| 16 |  📊 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗣𝗿𝗼 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀? 🚀
Learning Excel, SQL and Power BI is only the beginning. To stand out as a Data Analyst, focus on practical experience, visibility and networking.
🔥 4 Ways to Level Up Your Data Analytics Career:
💡 Master the Skills → Build Projects → Create Your Portfolio → Get Noticed
🔗 𝗖𝗵𝗲𝗰𝗸 𝘁𝗵𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗚𝘂𝗶𝗱𝗲 👇
https://pdlink.in/4cIfLqn
🎯 Perfect for Students | Freshers | Data Analyst Aspirants | Career Switchers | 833 |
| 17 | 🚀 Complete Roadmap to Become a Software Developer 👨💻
Programming teaches you how to code.
Software Development teaches you how to build real-world applications that companies hire for.
Here's the complete roadmap:
🧠 STEP 1: Software Development Fundamentals
✔ Software Development Life Cycle (SDLC)
✔ Types of Software
✔ Development Methodologies
✔ Agile & Scrum Basics
💻 STEP 2: Master One Programming Language
✔ Language Features
✔ Best Practices
✔ Design Patterns
✔ Clean Code Principles
🏗️ STEP 3: Software Architecture
✔ Monolithic Architecture
✔ Microservices
✔ REST APIs
✔ System Design Basics
🗄️ STEP 4: Databases & Backend
✔ SQL & NoSQL
✔ Database Design
✔ Authentication
✔ API Development
🌐 STEP 5: Frontend Development
✔ HTML
✔ CSS
✔ JavaScript
✔ React
✔ Responsive Design
☁️ STEP 6: DevOps & Cloud
✔ Git & GitHub
✔ Docker
✔ Kubernetes
✔ AWS / Azure
✔ CI/CD Pipelines
🧪 STEP 7: Testing & Debugging
✔ Unit Testing
✔ Integration Testing
✔ Debugging Techniques
✔ Performance Testing
🚀 STEP 8: Build Industry-Level Projects
✔ E-commerce Platform
✔ Social Media App
✔ Banking System
✔ Project Management Tool
✔ SaaS Application
💼 STEP 9: Interview Preparation
✔ DSA Revision
✔ System Design
✔ Behavioral Interviews
✔ Resume Building
✔ GitHub Portfolio
🎯 STEP 10: Land Your First Job
✔ Apply Strategically
✔ Network on LinkedIn
✔ Contribute to Open Source
✔ Ace Technical Interviews
✔ Negotiate Your Offer
💡 Double Tap ❤️ For More | 812 |
| 18 |  🚀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 📊🔥
𝗕𝘂𝗶𝗹𝗱 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆 𝗦𝗸𝗶𝗹𝗹𝘀 & Learn the tools companies actually use and prepare for high-growth Data Analyst opportunities.
💼 60+ Hiring Drives Every Month
🤝 500+ Hiring Partners
👨🏫 1-on-1 Expert Mentorship
📝 Resume & Interview Preparation
🚀 Dedicated Placement Assistance
🔗 𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝗖𝗮𝗿𝗲𝗲𝗿 𝗖𝗼𝘂𝗻𝘀𝗲𝗹𝗹𝗶𝗻𝗴👇:-
https://pdlink.in/45vk5ph
🎓 Perfect for Students | Freshers | Working Professionals | Career Switchers | 856 |
| 19 |  📊 𝟱 𝗕𝗲𝘀𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗦 𝗘𝘅𝗰𝗲𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘
Excel is one of the most valuable workplace skills — start learning for FREE today!
✅ Beginner Friendly
✅ Learn at Your Own Pace
✅ Improve Excel & Data Analysis Skills
✅ Useful for Jobs & Interviews
✅ Completely FREE Resources
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-
https://pdlink.in/3UkOmoa
🎓 Perfect for Students | Freshers | Data Analyst Aspirants | Working Professionals | 850 |
| 20 | Sharing a template to request for a job referral on LinkedIn, customize as per your requirement 👇👇
❝
Hey [HR Name],
Hope you're doing well. I’m alumni from [college-Name]. Expressing my interest in recent 'Sr Data Analyst' role (JobID- 0108) at XYZ-Company. I've 1+ years of relevant experience in data analytics. Would you be open to give me a referral? Looking forward to your response.
(Tap to copy) | 853 |
