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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

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๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

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๐Ÿ“ˆ Analytical overview of Telegram channel Artificial Intelligence & ChatGPT Prompts

Channel Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) in the English language segment is an active participant. Currently, the community unites 42 115 subscribers, ranking 3 235 in the Technologies & Applications category and 9 556 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 42 115 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 171 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.47%. Within the first 24 hours after publication, content typically collects 0.74% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 040 views. Within the first day, a publication typically gains 311 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as learning, algorithm, detection, llm, pattern.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œ๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_dataโ€

Thanks to the high frequency of updates (latest data received on 12 June, 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.

42 115
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Posts Archive
Lol ๐Ÿ˜‚
Lol ๐Ÿ˜‚

๐Ÿš€ ๐—ง๐—ผ๐—ฝ ๐Ÿฏ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ง๐—ผ ๐——๐—ผ๐—บ๐—ถ๐—ป๐—ฎ๐˜๐—ฒ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐Ÿ˜ Start learning the most in-demand tech skills with FREE certifica
๐Ÿš€ ๐—ง๐—ผ๐—ฝ ๐Ÿฏ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ง๐—ผ ๐——๐—ผ๐—บ๐—ถ๐—ป๐—ฎ๐˜๐—ฒ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐Ÿ˜ Start learning the most in-demand tech skills with FREE certifications ๐Ÿ‘‡ โœ… AI & ML โ†’ https://pdlink.in/3U3eZuq โœ… Data Analytics โ†’ https://pdlink.in/4lp7hXQ โœ… Data Science, Fullstack & More โ†’ https://pdlink.in/3ImMFAB ๐ŸŽ“ 100% FREE | Learn Anywhere, Anytime ๐Ÿ’ก Donโ€™t just keep up with 2025, stay ahead of it!

Getting started with SQL comparison operators. If you're new to SQL, understanding comparison operators is one of the first things you'll need to learn. Theyโ€™re really important for filtering and analyzing your data. Letโ€™s break them down with some simple examples. Comparison operators let you compare values in SQL queries. Here are the basics: 1. = (Equal To): Checks if two values are the same. Example: SELECT * FROM Employees WHERE Age = 30; (This will find all employees who are exactly 30 years old). 2. <> or != (Not Equal To): Checks if two values are different. Example: SELECT * FROM Employees WHERE Age <> 30; (This will find all employees who are not 30 years old). 3. > (Greater Than): Checks if a value is larger. Example: SELECT * FROM Employees WHERE Salary > 50000; (This will list all employees earning more than 50,000). 4. < (Less Than): Checks if a value is smaller. Example: SELECT * FROM Employees WHERE Salary < 50000; (This will show all employees earning less than 50,000). 5. >= (Greater Than or Equal To): Checks if a value is larger or equal. Example: SELECT * FROM Employees WHERE Age >= 25; (This will find all employees who are 25 years old or older). 6. <= (Less Than or Equal To): Checks if a value is smaller or equal. Example: SELECT * FROM Employees WHERE Age <= 30; (This will find all employees who are 30 years old or younger). These simple operators can help you get more accurate results in your SQL queries. Keep practicing and youโ€™ll be great at SQL in no time. Like this post if you need more ๐Ÿ‘โค๏ธ Hope it helps :)

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How to Improve API Performance?
How to Improve API Performance?

100+ Practice Questions โ C/C++ โ Python โ JavaScript โ Java โ C# โ Golang โžŠ Simple Numbers โž€ Find a digit at a specific place in a number โž Find count of digits in a number โž‚ Find the largest digit โžƒ Find the 2nd largest digit โž„ Find the kth largest digit โž… Find the smallest digit โž† Find the 2nd smallest digit โž‡ Find the kth smallest digit โžˆ Find generic root (sum of all digits) of a number โž‰ Reverse the digits in a number โž€โž€ Rotate the digits in a number โž€โž Is the number a palindrome? โž€โž‚ Find sum of 'n' numbers โž€โžƒ Check if a number is perfect square โž€โž„ Find a number in an AP sequence โž€โž… Find a number in a GP sequence โž€โž† Find a number in fibonacci sequence โž€โž‡ Check number divisibility by 2, 3, 5, 9 โž€โžˆ Check if a number is primary or not 20. Given a number, print all primes smaller than it โžโž€ Check if a number is circular prime or not โžโž Find all prime factors of a number โžโž‚ Find the GCD of 2 numbers โžโžƒ Find the LCM of 2 numbers โžโž„ Find the factorial of a number โžโž… Find the exponentiation of a number โž‹ Unit Conversion โž€ Number Base (Binary, Octal, Hexadecimal, Decimal) โž Weight (gram, kg, pound) โž‚ Height (cm, m, inch, feet) โžƒ Temperature (centigrade, fahrenhite) โž„ Distance (km, mile) โž… Area (mยฒ, kmยฒ, acre) โž† Volume (ltr, gallon) โž‡ Time (sec, min, hour) โžˆ Currency โžŒ Calculator โž€ Loan EMI Calculator โž Fixed Deposit Returns Calculator โž‚ Interest Calculator โžƒ BMI Calculator โž„ Item Price (considering tax, discount, shipping) โž… Tip Calculator โž Geometry โž€ Find distance between 2 points โž Given 2 sides of a right angle triangle, find the 3rd โž‚ Find 3rd angle of a triangle when 2 are given โžƒ Area of a triangle when 3 sides are given โž„ Area of a right angle triangle โž… Perimeter of a Square โž† Area of a Square โž‡ Perimeter of a Rectangle โžˆ Area of a Rectangle โž‰ Circumference of a Circle โž€โž€ Area of a Circle โž€โž Circumference of a Semi-Circle โž€โž‚ Area of a Semi-Circle โž€โžƒ Area of a Ring โž€โž„ Circumference of an Ellipse โž€โž… Area of an Ellipse โž€โž† Suface Area of a Sphere โž€โž‡ Volume of a Sphere โž€โžˆ Surface Area of a Hemisphere 20. Volume of a Hemisphere โžโž€ Surface area of a Cube โžโž Volume of a Cube โžโž‚ Surface area of a Cylinder โžโžƒ Volume of a Cylinder โžŽ Vector โž€ Find Scalar Multiplication of a vector โž Find addition/subtraction of vectors โž‚ Find magnitude of a vector โžƒ Find an unit vector along a given vector โž„ Find dot product of 2 vectors โž… Find cross product of 2 vectors โž† Check if 2 vectors are orthogonal โž Matrix โž€ Find the determinant of a matrix โž Find Scalar Multiplication of a matrix โž‚ Find addition/subtraction of matrices โžƒ Find the transpose of a matrix โž„ Find if 2 matrices are orthogonal โž… Find inverse of a 2x2 and 3x3 matrix โž Set โž€ Find Union of 2 sets โž Find Intersection of 2 sets โž‚ Find the Difference of 2 sets โžƒ Find the Symmetric Difference of 2 sets โž„ Find if a set is subset/superset of another set โž… Find if 2 sets are disjoints โž‘ Special Numbers โž€ Strong Number โž Perfect Number โž‚ Armstrong Number โžƒ Harshad Number โž„ Kaprekar Number โž… Lychrel Number โž† Narcissistic Decimal Number โž‡ Lucus Number โžˆ Catalan Number โž‰ Duck Number โž€โž€ Ugly Number โž€โž Abundant Number โž€โž‚ Deficient Number โž€โžƒ Automorphic Number โž€โž„ Magic Number โž€โž… Friendly Pair Numbers โž€โž† Neon Number โž€โž‡ Spy Number โž€โžˆ Happy Number 20. Sunny Number โžโž€ Disarium Number โžโž Pronic Number โžโž‚ Trimorphic Number โžโžƒ Evil Number โžโž„ Amicable Pairs

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โŒจ๏ธ QR code generation in Python
โŒจ๏ธ QR code generation in Python

Repost from Data Analytics
๐Ÿ’ ๐๐ž๐ฌ๐ญ ๐๐จ๐ฐ๐ž๐ซ ๐๐ˆ ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž๐ฌ ๐ข๐ง ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ“ ๐ญ๐จ ๐’๐ค๐ฒ๐ซ๐จ๐œ๐ค๐ž๐ญ ๐˜๐จ๐ฎ๐ซ ๐‚๐š๐ซ๐ž๐ž๐ซ๐Ÿ˜ In todayโ€™s data-driv
๐Ÿ’ ๐๐ž๐ฌ๐ญ ๐๐จ๐ฐ๐ž๐ซ ๐๐ˆ ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž๐ฌ ๐ข๐ง ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ“ ๐ญ๐จ ๐’๐ค๐ฒ๐ซ๐จ๐œ๐ค๐ž๐ญ ๐˜๐จ๐ฎ๐ซ ๐‚๐š๐ซ๐ž๐ž๐ซ๐Ÿ˜ In todayโ€™s data-driven world, Power BI has become one of the most in-demand tools for businessesใ€ฝ๏ธ๐Ÿ“Š The best part? You donโ€™t need to spend a fortuneโ€”there are free and affordable courses available online to get you started.๐Ÿ’ฅ๐Ÿง‘โ€๐Ÿ’ป ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4mDvgDj Start learning today and position yourself for success in 2025!โœ…๏ธ

Ages of Operating Systems๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป๐Ÿ˜Ž ๐Ÿ“‚ Windows 11 (3 years old) ๐ŸชŸ Windows 10 (8 years old) ๐ŸŽ macOS Yosemite (10 years old) ๐Ÿ‰ Kali Linux (11 years old) ๐Ÿ’ป Windows 8 (12 years old) ๐ŸŒ Manjaro (11 years old) ๐Ÿ’ป Windows 7 (14 years old) ๐Ÿ–ฅ๏ธ Windows Vista (17 years old) ๐ŸŒฟ Linux Mint (18 years old) ๐Ÿง Ubuntu (20 years old) โš™๏ธ Fedora (20 years old) ๐Ÿ”ง OpenSUSE (20 years old) โš™๏ธ CentOS (20 years old) ๐Ÿง Arch Linux (22 years old) ๐Ÿ macOS (22 years old) ๐Ÿ’ป Windows XP (23 years old) ๐Ÿ–ฅ๏ธ Windows 2000 (24 years old) ๐Ÿ“ฑ Windows 98 (25 years old) ๐ŸŒ Windows 95 (28 years old) ๐Ÿ’ป Windows 3.1 (29 years old) ๐Ÿ–ฅ๏ธ OS/2 (32 years old) ๐Ÿง Debian (31 years old) ๐Ÿ”ด Red Hat Linux (30 years old) ๐ŸŽฎ AmigaOS (34 years old) ๐Ÿ–ฅ๏ธ Xenix (40 years old) ๐Ÿ“€ VMS (44 years old) ๐Ÿ’พ MS-DOS (42 years old) ๐Ÿ’พ CP/M (49 years old) ๐Ÿ–ฅ๏ธ Unix (54 years old)

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๐Ÿฏ ๐—š๐—ฎ๐—บ๐—ฒ-๐—–๐—ต๐—ฎ๐—ป๐—ด๐—ถ๐—ป๐—ด ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฟ๐—ฒ๐—ฒ๐Ÿ˜ Want to break into Data Science
๐Ÿฏ ๐—š๐—ฎ๐—บ๐—ฒ-๐—–๐—ต๐—ฎ๐—ป๐—ด๐—ถ๐—ป๐—ด ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฟ๐—ฒ๐—ฒ๐Ÿ˜ Want to break into Data Science or Tech? Python is the #1 skill you need โ€” and starting is easier than you think.๐Ÿง‘โ€๐Ÿ’ปโœจ๏ธ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3JemBIt Your career upgrade starts today โ€” no excuses!โœ…๏ธ

9 advanced coding project ideas to level up your skills: ๐Ÿ›’ E-commerce Website โ€” manage products, cart, payments ๐Ÿง  AI Chatbot โ€” integrate NLP and machine learning ๐Ÿ—ƒ๏ธ File Organizer โ€” automate file sorting using scripts ๐Ÿ“Š Data Dashboard โ€” build interactive charts with real-time data ๐Ÿ“š Blog Platform โ€” full-stack project with user authentication ๐Ÿ“ Location Tracker App โ€” use maps and geolocation APIs ๐Ÿฆ Budgeting App โ€” analyze income/expenses and generate reports ๐Ÿ“ Markdown Editor โ€” real-time preview and formatting ๐Ÿ” Job Tracker โ€” store, filter, and search job applications #coding #projects

The Only Data Analytics Skills You ACTUALLY Need To Land Your First Job โœ… ๐Ÿšซ The Learning Trap: Common Beginner Mistakes โ€ข Complexity Overload: Learning complex ML models before the basics. โ€ข Excel Hell: Spending months on obscure Excel formulas nobody uses. โ€ข Tutorial Black Hole: Watching endless YouTube tutorials... โ€ข ...But Zero Impact: Zero hands-on project experience. โœ… Reality Check: Core Skills That Land The Job Most entry-level data analyst roles primarily require: โ€ข 1. Spreadsheet Mastery (Excel / Google Sheets): โ€ข VLOOKUP, INDEX-MATCH: Find the data you need FAST. โ€ข Pivot Tables: Summarize data like a PRO. โ€ข Basic Charts: Tell a story with visuals. โ€ข Filters & Functions: Clean and prepare your data. โ€ข 2. SQL (Core Only): Data Extraction POWER: โ€ข SELECT, FROM, WHERE: Get the right data, every time. โ€ข JOINs: Combine data from multiple sources. โ€ข GROUP BY: Aggregate and summarize. โ€ข ORDER BY: Present data clearly. โ€ข Aggregates (COUNT, SUM, AVG): Find key metrics. โ€ข ROW_NUMBER(): Rank and prioritize results. โ€ข 3. Data Visualization (Power BI or Tableau Basics): Show, Don't Tell: โ€ข Bar Charts, Line Charts: Present trends and comparisons. โ€ข Filters: Make dashboards interactive. โ€ข Drill-Down Dashboards: Explore data deeply. โ€ข 4. Python for Data Analysis (Core Libraries): Automate & Analyze: โ€ข Pandas & NumPy: Clean, manipulate, and analyze data. โ€ข Data Cleaning & Merging: Prepare data for analysis. โ€ข Basic Visualizations (Matplotlib/Seaborn): Create compelling charts. โ€ข 5. Business Thinking: The #1 Underrated Skill: โ€ข Understanding KPIs: Know what metrics matter to the business. โ€ข Telling a Story with Data: Communicate insights effectively. โ€ข Answering "Why Does This Matter?": Connect data to business outcomes. โญ Final Tip: Projects > Tools. Focus on mastering the core skills and building 2 REAL, impactful projects to show recruiters what you can DO! ๐Ÿ’ฅ

๐„๐š๐ซ๐ง ๐…๐‘๐„๐„ ๐Ž๐ซ๐š๐œ๐ฅ๐ž ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ ๐ข๐ง ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ“ โ€” ๐‚๐ฅ๐จ๐ฎ๐, ๐€๐ˆ & ๐ƒ๐š๐ญ๐š!๐Ÿ˜ Oracleโ€™s Race to C
๐„๐š๐ซ๐ง ๐…๐‘๐„๐„ ๐Ž๐ซ๐š๐œ๐ฅ๐ž ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ ๐ข๐ง ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ“ โ€” ๐‚๐ฅ๐จ๐ฎ๐, ๐€๐ˆ & ๐ƒ๐š๐ญ๐š!๐Ÿ˜ Oracleโ€™s Race to Certification is here โ€” your chance to earn globally recognized certifications for FREE!๐Ÿ’ฅ ๐Ÿ’ก Choose from in-demand certifications in: โ˜๏ธ Cloud ๐Ÿค– AI ๐Ÿ“Š Data โ€ฆand more! ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4lx2tin โšกBut hurry โ€” spots are limited, and the clock is ticking!โœ…๏ธ

Since many of you were asking me to send Data Science Session ๐Ÿ“ŒSo we have come with a session for you!! ๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป ๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป This will help you to speed up your job hunting process ๐Ÿ’ช Register here ๐Ÿ‘‡๐Ÿ‘‡ https://go.acciojob.com/RYFvdU Only limited free slots are available so Register Now

๐Ÿ”ฐ DevOps Roadmap for Beginners 2025 โ”œโ”€โ”€ ๐Ÿง  What is DevOps? Principles & Culture โ”œโ”€โ”€ ๐Ÿงช Mini Task: Set up Local CI Pipeline with Shell Scripts โ”œโ”€โ”€ โš™๏ธ Linux Basics: Commands, Shell Scripting โ”œโ”€โ”€ ๐Ÿ“ Version Control: Git, GitHub, GitLab โ”œโ”€โ”€ ๐Ÿงช Mini Task: Automate Deployment via GitHub Actions โ”œโ”€โ”€ ๐Ÿ“ฆ Package Managers & Artifact Repositories (npm, pip, DockerHub) โ”œโ”€โ”€ ๐Ÿณ Docker Essentials: Images, Containers, Volumes, Networks โ”œโ”€โ”€ ๐Ÿงช Mini Project: Dockerize a MERN App โ”œโ”€โ”€ โ˜๏ธ CI/CD Concepts & Tools (Jenkins, GitHub Actions) โ”œโ”€โ”€ ๐Ÿงช Mini Project: CI/CD Pipeline for React App โ”œโ”€โ”€ ๐Ÿงฉ Infrastructure as Code: Terraform / Ansible Basics โ”œโ”€โ”€ ๐Ÿ“ˆ Monitoring & Logging: Prometheus, Grafana, ELK Stack โ”œโ”€โ”€ ๐Ÿ” Secrets Management & Security Basics (Vault, .env) โ”œโ”€โ”€ ๐ŸŒ Web Servers: Nginx, Apache (Reverse Proxy, Load Balancer) โ”œโ”€โ”€ โ˜๏ธ Cloud Providers: AWS (EC2, S3, IAM), GCP, Azure Overview React with โ™ฅ๏ธ if you want me to explain each topic in detail #devops

๐Ÿฎ๐Ÿฑ+ ๐— ๐˜‚๐˜€๐˜-๐—ž๐—ป๐—ผ๐˜„ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐—ป๐—ฑ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฟ๐—ฒ๐—ฎ๐—บ ๏ฟฝ
๐Ÿฎ๐Ÿฑ+ ๐— ๐˜‚๐˜€๐˜-๐—ž๐—ป๐—ผ๐˜„ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐—ป๐—ฑ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฟ๐—ฒ๐—ฎ๐—บ ๐—๐—ผ๐—ฏ ๐Ÿ˜ Breaking into Data Analytics isnโ€™t just about knowing the tools โ€” itโ€™s about answering the right questions with confidence๐Ÿง‘โ€๐Ÿ’ปโœจ๏ธ Whether youโ€™re aiming for your first role or looking to level up your career, these real interview questions will test your skills๐Ÿ“Š๐Ÿ“Œ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3JumloI Donโ€™t just learn โ€” prepare smartโœ…๏ธ

Python PIP Cheatsheet ๐Ÿ‘†
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Python PIP Cheatsheet ๐Ÿ‘†