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Here are some tricky๐Ÿงฉ SQL interview questions!

1. Find the second-highest salary in a table without using LIMIT or TOP.

2. Write a SQL query to find all employees who earn more than their managers.

3. Find the duplicate rows in a table without using GROUP BY.

4. Write a SQL query to find the top 10% of earners in a table.

5. Find the cumulative sum of a column in a table.

6. Write a SQL query to find all employees who have never taken a leave.

7. Find the difference between the current row and the next row in a table.

8. Write a SQL query to find all departments with more than one employee.

9. Find the maximum value of a column for each group without using GROUP BY.

10. Write a SQL query to find all employees who have taken more than 3 leaves in a month.

These questions are designed to test your SQL skills, including your ability to write efficient queries, think creatively, and solve complex problems.

Here are the answers to these questions:

1. SELECT MAX(salary) FROM table WHERE salary NOT IN (SELECT MAX(salary) FROM table)

2. SELECT e1.* FROM employees e1 JOIN employees e2 ON e1.manager_id = (link unavailable) WHERE e1.salary > e2.salary

3. SELECT * FROM table WHERE rowid IN (SELECT rowid FROM table GROUP BY column HAVING COUNT(*) > 1)

4. SELECT * FROM table WHERE salary > (SELECT PERCENTILE_CONT(0.9) WITHIN GROUP (ORDER BY salary) FROM table)

5. SELECT column, SUM(column) OVER (ORDER BY rowid) FROM table

6. SELECT * FROM employees WHERE id NOT IN (SELECT employee_id FROM leaves)

7. SELECT *, column - LEAD(column) OVER (ORDER BY rowid) FROM table

8. SELECT department FROM employees GROUP BY department HAVING COUNT(*) > 1

9. SELECT MAX(column) FROM table WHERE column NOT IN (SELECT MAX(column) FROM table GROUP BY group_column)
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๐Ÿ”ฅ Guys, Another Big Announcement!

Iโ€™m launching a Python Interview Series ๐Ÿ๐Ÿ’ผ โ€” your complete guide to cracking Python interviews from beginner to advanced level!

This will be a week-by-week series designed to make you interview-ready โ€” covering core concepts, coding questions, and real interview scenarios asked by top companies.

Hereโ€™s whatโ€™s coming your way ๐Ÿ‘‡

๐Ÿ”น Week 1: Python Fundamentals (Beginner Level)
โ€ข Data types, variables & operators
โ€ข If-else, loops & functions
โ€ข Input/output & basic problem-solving
๐Ÿ’ก *Practice:* Reverse string, Prime check, Factorial, Palindrome

๐Ÿ”น Week 2: Data Structures in Python
โ€ข Lists, Tuples, Sets, Dictionaries
โ€ข Comprehensions (list, dict, set)
โ€ข Sorting, searching, and nested structures
๐Ÿ’ก *Practice:* Frequency count, remove duplicates, find max/min

๐Ÿ”น Week 3: Functions, Modules & File Handling
โ€ข *args, *kwargs, lambda, map/filter/reduce
โ€ข File read/write, CSV handling
โ€ข Modules & imports
๐Ÿ’ก *Practice:* Create custom functions, read data files, handle errors

๐Ÿ”น Week 4: Object-Oriented Programming (OOP)
โ€ข Classes, objects, inheritance, polymorphism
โ€ข Encapsulation & abstraction
โ€ข Magic methods (__init__, __str__)
๐Ÿ’ก *Practice:* Build a simple class like BankAccount or StudentSystem

๐Ÿ”น Week 5: Exception Handling & Logging
โ€ข try-except-else-finally
โ€ข Custom exceptions
โ€ข Logging errors & debugging best practices
๐Ÿ’ก *Practice:* File operations with proper error handling

๐Ÿ”น Week 6: Advanced Python Concepts
โ€ข Decorators, generators, iterators
โ€ข Closures & context managers
โ€ข Shallow vs deep copy
๐Ÿ’ก *Practice:* Create your own decorator, generator examples

๐Ÿ”น Week 7: Pandas & NumPy for Data Analysis
โ€ข DataFrame basics, filtering & grouping
โ€ข Handling missing data
โ€ข NumPy arrays, slicing, and aggregation
๐Ÿ’ก *Practice:* Analyze small CSV datasets

๐Ÿ”น Week 8: Python for Analytics & Visualization
โ€ข Matplotlib, Seaborn basics
โ€ข Data summarization & correlation
โ€ข Building simple dashboards
๐Ÿ’ก *Practice:* Visualize sales or user data

๐Ÿ”น Week 9: Real Interview Questions (Intermediateโ€“Advanced)
โ€ข 50+ Python interview questions with answers
โ€ข Common logical & coding tasks
โ€ข Real company-style questions (Infosys, TCS, Deloitte, etc.)
๐Ÿ’ก *Practice:* Solve daily problem sets

๐Ÿ”น Week 10: Final Interview Prep (Mock & Revision)
โ€ข End-to-end mock interviews
โ€ข Python project discussion tips
โ€ข Resume & GitHub portfolio guidance

๐Ÿ“Œ Each week includes:
โœ… Key Concepts & Examples
โœ… Coding Snippets & Practice Tasks
โœ… Real Interview Q&A
โœ… Mini Quiz & Discussion

๐Ÿ‘ React โค๏ธ if youโ€™re ready to master Python interviews!

๐Ÿ‘‡ You can access it from here: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/2099
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๐Ÿš€ Front-End Development Interview Topics

HTML & CSS
๐Ÿ”น Semantic HTML
๐Ÿ”น CSS Pre-Processors
๐Ÿ”น CSS Specificity
๐Ÿ”น Resetting & Normalizing CSS
๐Ÿ”น CSS Architecture
๐Ÿ”น SVGs
๐Ÿ”น Media Queries
๐Ÿ”น CSS Display Property
๐Ÿ”น CSS Position Property
๐Ÿ”น CSS Frameworks
๐Ÿ”น Pseudo Classes
๐Ÿ”น Sprites

JavaScript
๐Ÿ”น Event Delegation
๐Ÿ”น Attributes vs Properties
๐Ÿ”น Ternary Operators
๐Ÿ”น Promises vs Callbacks
๐Ÿ”น Single Page Application
๐Ÿ”น Higher-Order Functions
๐Ÿ”น == vs ===
๐Ÿ”น Mutable vs Immutable
๐Ÿ”น 'this'
๐Ÿ”น Prototypal Inheritance
๐Ÿ”น IFE (Immediately Invoked Function Expression)
๐Ÿ”น Closure
๐Ÿ”น Null vs Undefined
๐Ÿ”น OOP vs Map
๐Ÿ”น .call & .apply
๐Ÿ”น Hoisting
๐Ÿ”น Objects
๐Ÿ”น Scope
๐Ÿ”น JS Frameworks

Data Structures and Algorithms
๐Ÿ”น Linked Lists
๐Ÿ”น Hash Tables
๐Ÿ”น Stacks
๐Ÿ”น Queues
๐Ÿ”น Trees
๐Ÿ”น Graphs
๐Ÿ”น Arrays
๐Ÿ”น Bubble Sort
๐Ÿ”น Binary Search
๐Ÿ”น Selection Sort
๐Ÿ”น Quick Sort
๐Ÿ”น Insertion Sort

Front-End Topics
๐Ÿ”น Performance
๐Ÿ”น Unit Testing
๐Ÿ”น End-to-End Testing (E2E)
๐Ÿ”น Web Accessibility
๐Ÿ”น CORS
๐Ÿ”น SEO
๐Ÿ”น REST
๐Ÿ”น APIs
๐Ÿ”น HTTP/HTTPS
๐Ÿ”น GitHub
๐Ÿ”น Task Runners
๐Ÿ”น Browser APIs
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Javascript  for Everything:

JS + React = Web Development
JS + Three.js = 3D Visualization
JS + Angular = Web Applications

JS + Phaser = Game Development
JS + Vue.js = Progressive Web Apps
JS + TensorFlow.js = Machine Learning

JS + Node.js = Server-Side Development
JS + Electron = DesktopApp Development
JS + React Native = MobileApp Development

#javascript
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10 Python Mini Projects for Beginners

Guys, once you've got the basics of Python down, itโ€™s time to build stuff!

Here are 10 mini project ideas that are fun, practical, and boost your confidence!

1. Number Guessing Game ๐ŸŽฏ
The computer picks a number, and the user keeps guessing until they get it right.
Perfect to practice loops, conditionals, and user input.

2. Calculator App โž•โž–โœ–๏ธโž—
Build a simple calculator that takes two numbers and performs addition, subtraction, multiplication, or division.

3. To-Do List (Console Version) โœ…
Let users add, view, and delete tasks. Great to practice lists and file handling if you want to save tasks.

4. Password Generator ๐Ÿ”
Create random passwords using letters, numbers, and symbols. Use the random and string modules.

5. Dice Rolling Simulator ๐ŸŽฒ
Simulate rolling a die. Add cool features like rolling multiple dice or counting the frequency.

6. Rock Paper Scissors Game โœŠโœ‹โœŒ๏ธ
Let the user play against the computer. Introduces randomness and conditional logic.

7. Quiz App โ“
Create a multiple-choice quiz that gives a score at the end. Store questions and answers using dictionaries.

8. Countdown Timer โฑ๏ธ
User inputs minutes or seconds, and the timer counts down to zero. Helps practice time.sleep().

9. Tip Calculator ๐Ÿฝ๏ธ
Calculate how much each person should pay including tip. Useful for string formatting and arithmetic.

10. Weather App (Using API) โ˜๏ธโ˜€๏ธ๐ŸŒง๏ธ
Use a public weather API to fetch real-time weather for a city. Great to explore APIs and the requests library.


For all resources and cheat sheets, check out my Telegram channel: https://t.me/pythonproz

Hope it helps :)
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OnSpace Mobile App builder: Idea โ†’ AppStore โ†’ Profit.
๐Ÿ‘‰https://onspace.ai/?via=tg_pg
With OnSpace, you can turn your idea into a real iOS or Android app in AppStore/PlayStore.

What will you get:
- Create app by chatting with AI
- Real-time app demo.
- Add payments and monetize like in-app-purchase and Stripe.
- Functional login & signup.
- Database + dashboard in minutes.
- Preview, download, and publish to AppStore.
- Full tutorial on YouTube and within 1 day customer service

๐ŸซตItโ€™s your shortcut from concept to cash flow.
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Top Coding Interview Questions ๐Ÿ’ป

๐Ÿ“ 1. Two Sum Problem
Find two numbers in an array that add up to a target value.
Approach: Use a hash map to store complements for O(n) time.

๐Ÿ“ 2. Reverse a Linked List
Reverse a singly linked list iteratively or recursively.

๐Ÿ“ 3. Binary Tree Traversals
Implement Inorder, Preorder, and Postorder traversals (recursion or stack).

๐Ÿ“ 4. Detect Cycle in a Linked List
Use Floydโ€™s Tortoise and Hare algorithm to detect if a loop exists.

๐Ÿ“ 5. Merge Intervals
Given intervals, merge all overlapping intervals.

๐Ÿ“ 6. Valid Parentheses
Use a stack to check for matching pairs of parentheses/brackets.

๐Ÿ“ 7. Maximum Subarray Sum (Kadaneโ€™s Algorithm)
Find the contiguous subarray with the largest sum.

๐Ÿ“ 8. Search in a Rotated Sorted Array
Modified binary search to find an element in a rotated sorted array.

๐Ÿ“ 9. Implement Queue using Stacks
Use two stacks to simulate a queueโ€™s FIFO behavior.

๐Ÿ“ ๐Ÿ”Ÿ Least Recently Used (LRU) Cache Implementation
Use a hashmap + doubly linked list for O(1) access and updates.

๐Ÿ’ก Pro Tip: Master these core problems and practice explaining your thought process clearly. Also, get comfortable with coding on whiteboard or online editors.
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10 Tools for Web Developers ๐Ÿ› ๐Ÿš€ -

๐Ÿ’ป Visual Studio Code - Lightweight code editor
๐Ÿ” Postman - API development and testing
๐ŸŽจ CodePen - Front-end development playground
๐Ÿ™ GitHub - Version control and collaboration
๐ŸŽจ Figma - UI/UX design and prototyping
๐Ÿ“Š Google Analytics - Website traffic analysis
๐ŸŒ Netlify - Easy web hosting and deployment
๐Ÿ”’ Auth0 - Authentication and authorization
๐Ÿ“ฆ Webpack - Module bundler for modern JavaScript apps
๐Ÿ“ฆ NPM - Node package manager for JavaScript libraries and tools

React โค๏ธ for more
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๐Ÿ’ก 10 Habits That Will Make You a Better Programmer in 2025

1) Write code every day
Consistency builds confidence. Even 30 minutes daily makes a difference.

2) Read others' code
Study open-source projects or solutions on GitHub. You'll learn new patterns and cleaner ways to solve problems.

3) Break problems into smaller parts
Don't jump in. Outline the logic step-by-step. Simpler structure means fewer bugs.

4) Learn to debug efficiently
Use print statements, breakpoints, and logs. Understand what your code is doing, not what you think it's doing.

5) Focus on fundamentals
Data structures and algorithms never go out of style. Master them.

6) Use version control (Git)
Track changes, collaborate smoothly, and avoid "final_final_v2_updatedFIXED" files.

7) Write clean, readable code
Follow naming conventions. Use meaningful function names and comments only when necessary.

8) Build real-world projects
Apply what you learn. Build apps, bots, toolsโ€”anything that solves a real problem.

9) Stay curious
Tech moves fast. Subscribe to dev newsletters, follow GitHub repos, and try new tools.

10) Ask better questions
Whether you're Googling or posting on forums, be clear. Show your thought process and what you've tried.

๐Ÿ’ฌ Double Tap โ™ฅ๏ธ For More
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๐—”๐—œ/๐— ๐—Ÿ ๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐—น๐—ฐ๐—น๐—ฎ๐˜€๐˜€๐Ÿ˜

Kickstart Your AI & Machine Learning Career

- Leverage your skills in the AI-driven job market
- Get exposed to the Generative AI Tools, Technologies, and Platforms

Eligibility :- Working Professionals & Graduates 

๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡:- 

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Date :- October 30, 2025  Time:-7:00 PM
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๐Ÿง  10 Mindset Shifts to Succeed in Programming & AI ๐Ÿš€๐Ÿ’ป

1๏ธโƒฃ Learn by Building
โ†’ Donโ€™t just watch tutorialsโ€”create projects, even small ones. Practice beats theory.

2๏ธโƒฃ Fail Fast, Learn Faster
โ†’ Bugs and errors are part of the process. Debugging teaches more than smooth runs.

3๏ธโƒฃ Think in Systems, Not Scripts
โ†’ Build reusable, modular systems instead of one-time scripts.

4๏ธโƒฃ Start with Logic, Then Code
โ†’ Donโ€™t jump into code. Understand the logic, sketch it out first.

5๏ธโƒฃ Embrace the AI Toolkit
โ†’ Use tools like ChatGPT, Copilot, LangChainโ€”they boost your output, not replace you.

6๏ธโƒฃ Read Source Code
โ†’ Understand how libraries and tools work internallyโ€”it sharpens your skills.

7๏ธโƒฃ Communicate Clearly
โ†’ Great programmers explain problems, solutions, and code simplyโ€”write clean code & good docs.

8๏ธโƒฃ Consistency > Intensity
โ†’ Daily learning or coding (even 30 mins) compounds over time.

9๏ธโƒฃ Ask Better Questions
โ†’ Whether in forums or AI prompts, clarity in your question leads to better answers.

๐Ÿ”Ÿ Stay Curious, Stay Humble
โ†’ Tech changes fast. Stay open to learning and unlearning.

๐Ÿ’ฌ Double Tap โค๏ธ for more!
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