๐ AI Journey Contest 2025: Test your AI skills!
Join our international online AI competition. Register now for the contest! Award fund โ RUB 6.5 mln!
Choose your track:
ยท ๐ค Agent-as-Judge โ build a universal โjudgeโ to evaluate AI-generated texts.
ยท ๐ง Human-centered AI Assistant โ develop a personalized assistant based on GigaChat that mimics human behavior and anticipates preferences. Participants will receive API tokens and a chance to get an additional 1M tokens.
ยท ๐พ GigaMemory โ design a long-term memory mechanism for LLMs so the assistant can remember and use important facts in dialogue.
Why Join
Level up your skills, add a strong line to your resume, tackle pro-level tasks, compete for an award, and get an opportunity to showcase your work at AI Journey, a leading international AI conference.
How to Join
1. Register here.
2. Choose your track.
3. Create your solution and submit it by 30 October 2025.
๐ Ready for a challenge? Join a global developer community and show your AI skills!
Join our international online AI competition. Register now for the contest! Award fund โ RUB 6.5 mln!
Choose your track:
ยท ๐ค Agent-as-Judge โ build a universal โjudgeโ to evaluate AI-generated texts.
ยท ๐ง Human-centered AI Assistant โ develop a personalized assistant based on GigaChat that mimics human behavior and anticipates preferences. Participants will receive API tokens and a chance to get an additional 1M tokens.
ยท ๐พ GigaMemory โ design a long-term memory mechanism for LLMs so the assistant can remember and use important facts in dialogue.
Why Join
Level up your skills, add a strong line to your resume, tackle pro-level tasks, compete for an award, and get an opportunity to showcase your work at AI Journey, a leading international AI conference.
How to Join
1. Register here.
2. Choose your track.
3. Create your solution and submit it by 30 October 2025.
๐ Ready for a challenge? Join a global developer community and show your AI skills!
โค8๐2๐1
Here are some tricky๐งฉ 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)
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)
โค4
๐ฅ Guys, Another Big Announcement!
Iโm launching a Python Interview Series ๐๐ผ 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.
Hereโs whatโs coming your way ๐
๐น Week 1: Python Fundamentals (Beginner Level)
โข Data types, variables & operators
โข If-else, loops & functions
โข Input/output & basic problem-solving
๐ก *Practice:* Reverse string, Prime check, Factorial, Palindrome
๐น Week 2: Data Structures in Python
โข Lists, Tuples, Sets, Dictionaries
โข Comprehensions (list, dict, set)
โข Sorting, searching, and nested structures
๐ก *Practice:* Frequency count, remove duplicates, find max/min
๐น Week 3: Functions, Modules & File Handling
โข
โข File read/write, CSV handling
โข Modules & imports
๐ก *Practice:* Create custom functions, read data files, handle errors
๐น Week 4: Object-Oriented Programming (OOP)
โข Classes, objects, inheritance, polymorphism
โข Encapsulation & abstraction
โข Magic methods (
๐ก *Practice:* Build a simple class like BankAccount or StudentSystem
๐น Week 5: Exception Handling & Logging
โข
โข Custom exceptions
โข Logging errors & debugging best practices
๐ก *Practice:* File operations with proper error handling
๐น Week 6: Advanced Python Concepts
โข Decorators, generators, iterators
โข Closures & context managers
โข Shallow vs deep copy
๐ก *Practice:* Create your own decorator, generator examples
๐น Week 7: Pandas & NumPy for Data Analysis
โข DataFrame basics, filtering & grouping
โข Handling missing data
โข NumPy arrays, slicing, and aggregation
๐ก *Practice:* Analyze small CSV datasets
๐น Week 8: Python for Analytics & Visualization
โข Matplotlib, Seaborn basics
โข Data summarization & correlation
โข Building simple dashboards
๐ก *Practice:* Visualize sales or user data
๐น Week 9: Real Interview Questions (IntermediateโAdvanced)
โข 50+ Python interview questions with answers
โข Common logical & coding tasks
โข Real company-style questions (Infosys, TCS, Deloitte, etc.)
๐ก *Practice:* Solve daily problem sets
๐น Week 10: Final Interview Prep (Mock & Revision)
โข End-to-end mock interviews
โข Python project discussion tips
โข Resume & GitHub portfolio guidance
๐ Each week includes:
โ Key Concepts & Examples
โ Coding Snippets & Practice Tasks
โ Real Interview Q&A
โ Mini Quiz & Discussion
๐ React โค๏ธ if youโre ready to master Python interviews!
๐ You can access it from here: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/2099
Iโm launching a Python Interview Series ๐๐ผ 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.
Hereโs whatโs coming your way ๐
๐น Week 1: Python Fundamentals (Beginner Level)
โข Data types, variables & operators
โข If-else, loops & functions
โข Input/output & basic problem-solving
๐ก *Practice:* Reverse string, Prime check, Factorial, Palindrome
๐น Week 2: Data Structures in Python
โข Lists, Tuples, Sets, Dictionaries
โข Comprehensions (list, dict, set)
โข Sorting, searching, and nested structures
๐ก *Practice:* Frequency count, remove duplicates, find max/min
๐น Week 3: Functions, Modules & File Handling
โข
*args, *kwargs, lambda, map/filter/reduceโข File read/write, CSV handling
โข Modules & imports
๐ก *Practice:* Create custom functions, read data files, handle errors
๐น Week 4: Object-Oriented Programming (OOP)
โข Classes, objects, inheritance, polymorphism
โข Encapsulation & abstraction
โข Magic methods (
__init__, __str__)๐ก *Practice:* Build a simple class like BankAccount or StudentSystem
๐น Week 5: Exception Handling & Logging
โข
try-except-else-finallyโข Custom exceptions
โข Logging errors & debugging best practices
๐ก *Practice:* File operations with proper error handling
๐น Week 6: Advanced Python Concepts
โข Decorators, generators, iterators
โข Closures & context managers
โข Shallow vs deep copy
๐ก *Practice:* Create your own decorator, generator examples
๐น Week 7: Pandas & NumPy for Data Analysis
โข DataFrame basics, filtering & grouping
โข Handling missing data
โข NumPy arrays, slicing, and aggregation
๐ก *Practice:* Analyze small CSV datasets
๐น Week 8: Python for Analytics & Visualization
โข Matplotlib, Seaborn basics
โข Data summarization & correlation
โข Building simple dashboards
๐ก *Practice:* Visualize sales or user data
๐น Week 9: Real Interview Questions (IntermediateโAdvanced)
โข 50+ Python interview questions with answers
โข Common logical & coding tasks
โข Real company-style questions (Infosys, TCS, Deloitte, etc.)
๐ก *Practice:* Solve daily problem sets
๐น Week 10: Final Interview Prep (Mock & Revision)
โข End-to-end mock interviews
โข Python project discussion tips
โข Resume & GitHub portfolio guidance
๐ Each week includes:
โ Key Concepts & Examples
โ Coding Snippets & Practice Tasks
โ Real Interview Q&A
โ Mini Quiz & Discussion
๐ React โค๏ธ if youโre ready to master Python interviews!
๐ You can access it from here: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/2099
โค9
๐ Front-End Development Interview Topics
HTML & CSS
๐น Semantic HTML
๐น CSS Pre-Processors
๐น CSS Specificity
๐น Resetting & Normalizing CSS
๐น CSS Architecture
๐น SVGs
๐น Media Queries
๐น CSS Display Property
๐น CSS Position Property
๐น CSS Frameworks
๐น Pseudo Classes
๐น Sprites
JavaScript
๐น Event Delegation
๐น Attributes vs Properties
๐น Ternary Operators
๐น Promises vs Callbacks
๐น Single Page Application
๐น Higher-Order Functions
๐น == vs ===
๐น Mutable vs Immutable
๐น 'this'
๐น Prototypal Inheritance
๐น IFE (Immediately Invoked Function Expression)
๐น Closure
๐น Null vs Undefined
๐น OOP vs Map
๐น .call & .apply
๐น Hoisting
๐น Objects
๐น Scope
๐น JS Frameworks
Data Structures and Algorithms
๐น Linked Lists
๐น Hash Tables
๐น Stacks
๐น Queues
๐น Trees
๐น Graphs
๐น Arrays
๐น Bubble Sort
๐น Binary Search
๐น Selection Sort
๐น Quick Sort
๐น Insertion Sort
Front-End Topics
๐น Performance
๐น Unit Testing
๐น End-to-End Testing (E2E)
๐น Web Accessibility
๐น CORS
๐น SEO
๐น REST
๐น APIs
๐น HTTP/HTTPS
๐น GitHub
๐น Task Runners
๐น Browser APIs
HTML & CSS
๐น Semantic HTML
๐น CSS Pre-Processors
๐น CSS Specificity
๐น Resetting & Normalizing CSS
๐น CSS Architecture
๐น SVGs
๐น Media Queries
๐น CSS Display Property
๐น CSS Position Property
๐น CSS Frameworks
๐น Pseudo Classes
๐น Sprites
JavaScript
๐น Event Delegation
๐น Attributes vs Properties
๐น Ternary Operators
๐น Promises vs Callbacks
๐น Single Page Application
๐น Higher-Order Functions
๐น == vs ===
๐น Mutable vs Immutable
๐น 'this'
๐น Prototypal Inheritance
๐น IFE (Immediately Invoked Function Expression)
๐น Closure
๐น Null vs Undefined
๐น OOP vs Map
๐น .call & .apply
๐น Hoisting
๐น Objects
๐น Scope
๐น JS Frameworks
Data Structures and Algorithms
๐น Linked Lists
๐น Hash Tables
๐น Stacks
๐น Queues
๐น Trees
๐น Graphs
๐น Arrays
๐น Bubble Sort
๐น Binary Search
๐น Selection Sort
๐น Quick Sort
๐น Insertion Sort
Front-End Topics
๐น Performance
๐น Unit Testing
๐น End-to-End Testing (E2E)
๐น Web Accessibility
๐น CORS
๐น SEO
๐น REST
๐น APIs
๐น HTTP/HTTPS
๐น GitHub
๐น Task Runners
๐น Browser APIs
โค14๐1
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
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
โค11
List of Top 12 Coding Channels on WhatsApp:
1. Python Programming:
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
2. Coding Resources:
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
3. Coding Projects:
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
4. Coding Interviews:
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
5. Java Programming:
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
6. Javascript:
https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32
7. Web Development:
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
8. Artificial Intelligence:
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
9. Data Science:
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
10. Machine Learning:
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
11. SQL:
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
12. GitHub:
https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43
ENJOY LEARNING ๐๐
1. Python Programming:
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
2. Coding Resources:
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
3. Coding Projects:
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
4. Coding Interviews:
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
5. Java Programming:
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
6. Javascript:
https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32
7. Web Development:
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
8. Artificial Intelligence:
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
9. Data Science:
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
10. Machine Learning:
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
11. SQL:
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
12. GitHub:
https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43
ENJOY LEARNING ๐๐
โค8
๐คฉ Quick Roadmaps to Learn ๐คฉ
โค๏ธ Javascript
https://roadmap.sh/javascript
โค๏ธ Data Science
https://miro.medium.com/max/828/1*UQ9M5X6R1LVPzwc4bfnt9w.webp
โค๏ธ Frontend development
https://i0.wp.com/css-tricks.com/wp-content/uploads/2018/07/modern-front-end-developer.png?ssl=1
โค๏ธ Data Analyst Roadmap
https://t.me/sqlspecialist/379
โค๏ธ AI/ML
https://i.am.ai/roadmap
โค๏ธ Javascript
https://roadmap.sh/javascript
โค๏ธ Data Science
https://miro.medium.com/max/828/1*UQ9M5X6R1LVPzwc4bfnt9w.webp
โค๏ธ Frontend development
https://i0.wp.com/css-tricks.com/wp-content/uploads/2018/07/modern-front-end-developer.png?ssl=1
โค๏ธ Data Analyst Roadmap
https://t.me/sqlspecialist/379
โค๏ธ AI/ML
https://i.am.ai/roadmap
โค4
10 Python Mini Projects for Beginners
Guys, once you've got the basics of Python down, itโs time to build stuff!
Here are 10 mini project ideas that are fun, practical, and boost your confidence!
1. Number Guessing Game ๐ฏ
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 โโโ๏ธโ
Build a simple calculator that takes two numbers and performs addition, subtraction, multiplication, or division.
3. To-Do List (Console Version) โ
Let users add, view, and delete tasks. Great to practice lists and file handling if you want to save tasks.
4. Password Generator ๐
Create random passwords using letters, numbers, and symbols. Use the random and string modules.
5. Dice Rolling Simulator ๐ฒ
Simulate rolling a die. Add cool features like rolling multiple dice or counting the frequency.
6. Rock Paper Scissors Game โโโ๏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 โฑ๏ธ
User inputs minutes or seconds, and the timer counts down to zero. Helps practice time.sleep().
9. Tip Calculator ๐ฝ๏ธ
Calculate how much each person should pay including tip. Useful for string formatting and arithmetic.
10. Weather App (Using API) โ๏ธโ๏ธ๐ง๏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 :)
Guys, once you've got the basics of Python down, itโs time to build stuff!
Here are 10 mini project ideas that are fun, practical, and boost your confidence!
1. Number Guessing Game ๐ฏ
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 โโโ๏ธโ
Build a simple calculator that takes two numbers and performs addition, subtraction, multiplication, or division.
3. To-Do List (Console Version) โ
Let users add, view, and delete tasks. Great to practice lists and file handling if you want to save tasks.
4. Password Generator ๐
Create random passwords using letters, numbers, and symbols. Use the random and string modules.
5. Dice Rolling Simulator ๐ฒ
Simulate rolling a die. Add cool features like rolling multiple dice or counting the frequency.
6. Rock Paper Scissors Game โโโ๏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 โฑ๏ธ
User inputs minutes or seconds, and the timer counts down to zero. Helps practice time.sleep().
9. Tip Calculator ๐ฝ๏ธ
Calculate how much each person should pay including tip. Useful for string formatting and arithmetic.
10. Weather App (Using API) โ๏ธโ๏ธ๐ง๏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 :)
โค5
Media is too big
VIEW IN TELEGRAM
OnSpace Mobile App builder: Idea โ AppStore โ Profit.
๐https://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
๐ซตItโs your shortcut from concept to cash flow.
๐https://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
๐ซตItโs your shortcut from concept to cash flow.
โค2๐1
Top Coding Interview Questions ๐ป
๐ 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.
๐ 2. Reverse a Linked List
Reverse a singly linked list iteratively or recursively.
๐ 3. Binary Tree Traversals
Implement Inorder, Preorder, and Postorder traversals (recursion or stack).
๐ 4. Detect Cycle in a Linked List
Use Floydโs Tortoise and Hare algorithm to detect if a loop exists.
๐ 5. Merge Intervals
Given intervals, merge all overlapping intervals.
๐ 6. Valid Parentheses
Use a stack to check for matching pairs of parentheses/brackets.
๐ 7. Maximum Subarray Sum (Kadaneโs Algorithm)
Find the contiguous subarray with the largest sum.
๐ 8. Search in a Rotated Sorted Array
Modified binary search to find an element in a rotated sorted array.
๐ 9. Implement Queue using Stacks
Use two stacks to simulate a queueโs FIFO behavior.
๐ ๐ Least Recently Used (LRU) Cache Implementation
Use a hashmap + doubly linked list for O(1) access and updates.
๐ก Pro Tip: Master these core problems and practice explaining your thought process clearly. Also, get comfortable with coding on whiteboard or online editors.
๐ 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.
๐ 2. Reverse a Linked List
Reverse a singly linked list iteratively or recursively.
๐ 3. Binary Tree Traversals
Implement Inorder, Preorder, and Postorder traversals (recursion or stack).
๐ 4. Detect Cycle in a Linked List
Use Floydโs Tortoise and Hare algorithm to detect if a loop exists.
๐ 5. Merge Intervals
Given intervals, merge all overlapping intervals.
๐ 6. Valid Parentheses
Use a stack to check for matching pairs of parentheses/brackets.
๐ 7. Maximum Subarray Sum (Kadaneโs Algorithm)
Find the contiguous subarray with the largest sum.
๐ 8. Search in a Rotated Sorted Array
Modified binary search to find an element in a rotated sorted array.
๐ 9. Implement Queue using Stacks
Use two stacks to simulate a queueโs FIFO behavior.
๐ ๐ Least Recently Used (LRU) Cache Implementation
Use a hashmap + doubly linked list for O(1) access and updates.
๐ก Pro Tip: Master these core problems and practice explaining your thought process clearly. Also, get comfortable with coding on whiteboard or online editors.
โค9
10 Tools for Web Developers ๐ ๐ -
๐ป Visual Studio Code - Lightweight code editor
๐ Postman - API development and testing
๐จ CodePen - Front-end development playground
๐ GitHub - Version control and collaboration
๐จ Figma - UI/UX design and prototyping
๐ Google Analytics - Website traffic analysis
๐ Netlify - Easy web hosting and deployment
๐ Auth0 - Authentication and authorization
๐ฆ Webpack - Module bundler for modern JavaScript apps
๐ฆ NPM - Node package manager for JavaScript libraries and tools
React โค๏ธ for more
๐ป Visual Studio Code - Lightweight code editor
๐ Postman - API development and testing
๐จ CodePen - Front-end development playground
๐ GitHub - Version control and collaboration
๐จ Figma - UI/UX design and prototyping
๐ Google Analytics - Website traffic analysis
๐ Netlify - Easy web hosting and deployment
๐ Auth0 - Authentication and authorization
๐ฆ Webpack - Module bundler for modern JavaScript apps
๐ฆ NPM - Node package manager for JavaScript libraries and tools
React โค๏ธ for more
โค10๐ซก1
๐ก 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, toolsโanything 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.
๐ฌ Double Tap โฅ๏ธ For More
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, toolsโanything 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.
๐ฌ Double Tap โฅ๏ธ For More
โค15๐1
๐๐/๐ ๐ ๐๐ฅ๐๐ ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐น๐ฐ๐น๐ฎ๐๐๐
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
๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ ๐๐ผ๐ฟ ๐๐ฅ๐๐๐:-
https://pdlink.in/47fcsF5
Date :- October 30, 2025 Time:-7:00 PM
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
๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ ๐๐ผ๐ฟ ๐๐ฅ๐๐๐:-
https://pdlink.in/47fcsF5
Date :- October 30, 2025 Time:-7:00 PM
โค1
๐ง 10 Mindset Shifts to Succeed in Programming & AI ๐๐ป
1๏ธโฃ Learn by Building
โ Donโt just watch tutorialsโcreate projects, even small ones. Practice beats theory.
2๏ธโฃ Fail Fast, Learn Faster
โ Bugs and errors are part of the process. Debugging teaches more than smooth runs.
3๏ธโฃ Think in Systems, Not Scripts
โ Build reusable, modular systems instead of one-time scripts.
4๏ธโฃ Start with Logic, Then Code
โ Donโt jump into code. Understand the logic, sketch it out first.
5๏ธโฃ Embrace the AI Toolkit
โ Use tools like ChatGPT, Copilot, LangChainโthey boost your output, not replace you.
6๏ธโฃ Read Source Code
โ Understand how libraries and tools work internallyโit sharpens your skills.
7๏ธโฃ Communicate Clearly
โ Great programmers explain problems, solutions, and code simplyโwrite clean code & good docs.
8๏ธโฃ Consistency > Intensity
โ Daily learning or coding (even 30 mins) compounds over time.
9๏ธโฃ Ask Better Questions
โ Whether in forums or AI prompts, clarity in your question leads to better answers.
๐ Stay Curious, Stay Humble
โ Tech changes fast. Stay open to learning and unlearning.
๐ฌ Double Tap โค๏ธ for more!
1๏ธโฃ Learn by Building
โ Donโt just watch tutorialsโcreate projects, even small ones. Practice beats theory.
2๏ธโฃ Fail Fast, Learn Faster
โ Bugs and errors are part of the process. Debugging teaches more than smooth runs.
3๏ธโฃ Think in Systems, Not Scripts
โ Build reusable, modular systems instead of one-time scripts.
4๏ธโฃ Start with Logic, Then Code
โ Donโt jump into code. Understand the logic, sketch it out first.
5๏ธโฃ Embrace the AI Toolkit
โ Use tools like ChatGPT, Copilot, LangChainโthey boost your output, not replace you.
6๏ธโฃ Read Source Code
โ Understand how libraries and tools work internallyโit sharpens your skills.
7๏ธโฃ Communicate Clearly
โ Great programmers explain problems, solutions, and code simplyโwrite clean code & good docs.
8๏ธโฃ Consistency > Intensity
โ Daily learning or coding (even 30 mins) compounds over time.
9๏ธโฃ Ask Better Questions
โ Whether in forums or AI prompts, clarity in your question leads to better answers.
๐ Stay Curious, Stay Humble
โ Tech changes fast. Stay open to learning and unlearning.
๐ฌ Double Tap โค๏ธ for more!
โค9