Artificial Intelligence & ChatGPT Prompts

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🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

Network:Data Analytics India9 432 Technologies & Applications3 217...

📈 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 42 142 subscribers, ranking 3 217 in the Technologies & Applications category and 9 432 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 42 142 subscribers.

According to the latest data from 18 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 181 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.16%. Within the first 24 hours after publication, content typically collects 0.72% reactions from the total number of subscribers.
Post reach: On average, each post receives 912 views. Within the first day, a publication typically gains 304 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.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data”

Thanks to the high frequency of updates (latest data received on 19 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.

42 142

Subscribers

+124 hours

+307 days

+18130 days

912

Post views

~ 30424 hours

~ 41948 hours

2.16%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

42 142

Java vs Python 👆

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Repost from SQL Programming Resources

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Do it right! ▪️Google was the 12th search engine ▪️The iPad was the 12th tablet ▪️Facebook was the 10th social network ▪️Tesla is not the first to produce an electric car It's not about who gets there first. It all depends on who gets it right when the market is ready.

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𝗧𝗼𝗽 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁 𝗧𝗼𝗱𝗮𝘆😍 1. Introduction to Data Science 2. PwC Digital Intelligence 3. BCG Generative AI 4. Data Analytics 𝗟𝗶𝗻𝗸:-👇 https://pdlink.in/3WavPct Enroll For FREE & Get Certified 🎓

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Data Science Roadmap

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𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗶𝗻 𝟯𝟬 𝗗𝗮𝘆𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀😍 Master SQL in 30 Days — Without Spending a Single Rupee!💰 If you’re serious about data analysis, backend development, or becoming job-ready in tech, SQL is a must-have skill📊👨‍💻 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3GyIbpL You don’t need a fancy degree to master SQL—just this roadmap and daily consistency. Start slow, stay steady, and finish strong.✅️

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💡 What is Recursion?

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Don't overwhelm to learn JavaScript, JavaScript is only this much 1.Variables • var • let • const 2. Data Types • number • string • boolean • null • undefined • symbol 3.Declaring variables • var • let • const 4.Expressions Primary expressions • this • Literals • [] • {} • function • class • function* • async function • async function* • /ab+c/i • string • ( ) Left-hand-side expressions • Property accessors • ?. • new • new .target • import.meta • super • import() 5.operators • Arithmetic Operators: +, -, *, /, % • Comparison Operators: ==, ===, !=, !==, <, >, <=, >= • Logical Operators: &&, ||, ! 6.Control Structures • if • else if • else • switch • case • default 7.Iterations/Loop • do...while • for • for...in • for...of • for await...of • while 8.Functions • Arrow Functions • Default parameters • Rest parameters • arguments • Method definitions • getter • setter 9.Objects and Arrays • Object Literal: { key: value } • Array Literal: [element1, element2, ...] • Object Methods and Properties • Array Methods: push(), pop(), shift(), unshift(), splice(), slice(), forEach(), map(), filter() 10.Classes and Prototypes • Class Declaration • Constructor Functions • Prototypal Inheritance • extends keyword • super keyword • Private class features • Public class fields • static • Static initialization blocks 11.Error Handling • try, • catch, • finally (exception handling) ADVANCED CONCEPTS 12.Closures • Lexical Scope • Function Scope • Closure Use Cases 13.Asynchronous JavaScript • Callback Functions • Promises • async/await Syntax • Fetch API • XMLHttpRequest 14.Modules • import and export Statements (ES6 Modules) • CommonJS Modules (require, module.exports) 15.Event Handling • Event Listeners • Event Object • Bubbling and Capturing 16.DOM Manipulation • Selecting DOM Elements • Modifying Element Properties • Creating and Appending Elements 17.Regular Expressions • Pattern Matching • RegExp Methods: test(), exec(), match(), replace() 18.Browser APIs • localStorage and sessionStorage • navigator Object • Geolocation API • Canvas API 19.Web APIs • setTimeout(), setInterval() • XMLHttpRequest • Fetch API • WebSockets 20.Functional Programming • Higher-Order Functions • map(), reduce(), filter() • Pure Functions and Immutability 21.Promises and Asynchronous Patterns • Promise Chaining • Error Handling with Promises • Async/Await 22.ES6+ Features • Template Literals • Destructuring Assignment • Rest and Spread Operators • Arrow Functions • Classes and Inheritance • Default Parameters • let, const Block Scoping 23.Browser Object Model (BOM) • window Object • history Object • location Object • navigator Object 24.Node.js Specific Concepts • require() • Node.js Modules (module.exports) • File System Module (fs) • npm (Node Package Manager) 25.Testing Frameworks • Jasmine • Mocha • Jest

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Difference between HTTP and HTTPS

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Repost from Data Analytics

𝗠𝗮𝘀𝘁𝗲𝗿 𝗧𝗵𝗲𝘀𝗲 𝟯 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗝𝗼𝗯 𝗶𝗻 𝟮𝟬𝟮𝟱😍 If you’re serious about becoming a Data Analyst in 2025, you need more than just basic theory👨‍💻 You must master skills that recruiters actually look for — skills that make you job-ready, confident, and in-demand🔥 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3RCPmiY All you need is dedication, practice, and the right resources — and I’ve got you covered!✅️

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💡 30 must know terms in project management

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🔗 Machine learning project ideas

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Repost from MS Excel for Data Analysis

𝗧𝗖𝗦 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗢𝗻 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 - 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍 Want to know how top companies handle massive amounts of data without losing track? 📊 TCS is offering a FREE beginner-friendly course on Master Data Management, and yes—it comes with a certificate! 🎓 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4jGFBw0 Just click and start learning!✅️

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✅ Learn New Skills FREE 🔰 1. Web Development ➝ ◀️ https://t.me/webdevcoursefree 2. CSS ➝ ◀️ http://css-tricks.com 3. JavaScript ➝ ◀️ http://t.me/javascript_courses 4. React ➝ ◀️ http://react-tutorial.app 5. Data Engineering ➝ ◀️ https://t.me/sql_engineer 6. Data Science ➝ ◀️ https://t.me/datasciencefun 7. Python ➝ ◀️ http://pythontutorial.net 8. SQL ➝ ◀️ https://t.me/sqlanalyst 9. Git and GitHub ➝ ◀️ http://GitFluence.com 10. Blockchain ➝ ◀️ https://t.me/Bitcoin_Crypto_Web 11. Mongo DB ➝ ◀️ http://mongodb.com 12. Node JS ➝ ◀️ http://nodejsera.com 13. English Speaking ➝ ◀️ https://t.me/englishlearnerspro 14. C#➝ ◀️ https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/ 15. Excel➝ ◀️ https://t.me/excel_analyst 16. Generative AI➝ ◀️ https://t.me/generativeai_gpt 17. Java ◀️ https://t.me/Java_Programming_Notes 18. Artificial Intelligence ◀️ https://t.me/machinelearning_deeplearning 19. Data Structure & Algorithms ◀️ https://t.me/dsabooks 20. Backend Development ◀️ https://imp.i115008.net/rn2nyy 21. Python for AI ◀️ https://deeplearning.ai/short-courses/ai-python-for-beginners/ Join @free4unow_backup for more free courses Like for more ❤️ ENJOY LEARNING👍👍

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𝟯 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗠𝘂𝘀𝘁 𝗧𝗮𝗸𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗮𝗻𝗱 𝗟𝗮𝗻𝗱 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗝𝗼𝗯𝘀!😍 In a world full of competition, your skills will set you apart — not just your degree👨‍🎓📄 Here are 3 powerful courses you MUST take if you want to seriously boost your resume and catch the eyes of recruiters from Google, Amazon, Microsoft, and other top companies💻🏢 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3EILdaj Enjoy Learning ✅️

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Web Development Projects for Beginners with Hands-On Learning 😄👇 Web development Free Resources: https://t.me/webdevcoursefree 1. Personal Portfolio Website: Create a simple portfolio site showcasing your skills, projects, and a bit about yourself. This project allows you to practice HTML, CSS, and basic JavaScript. 2. To-Do List Application: Develop a web-based to-do list where users can add, edit, and delete tasks. This project helps reinforce your understanding of HTML, CSS, and JavaScript for interactive web development. 3. Weather App: Build a web application that fetches weather data based on user input or location. This project involves working with APIs, enhancing your understanding of asynchronous JavaScript. 4. Blog Platform: Create a basic blog platform where users can create, edit, and delete posts. This project will involve back-end development, introducing you to server-side scripting with technologies like Node.js or Django. 5. E-commerce Website (Simple): Develop a basic e-commerce site with product listings, a shopping cart, and a checkout system. This project introduces you to more complex front-end and back-end interactions. 6. Recipe Book: Build a web application that allows users to browse and search for recipes. This project involves organizing and presenting data, and it's a great introduction to databases. 7. Chat Application: Develop a real-time chat application using technologies like Socket.io. This project enhances your understanding of web sockets and real-time communication. 8. Social Media Dashboard: Create a simplified version of a social media dashboard where users can post updates, follow/unfollow others, and see a feed of posts. This project combines front-end and back-end development. 9. Portfolio CMS (Content Management System): Build a CMS that allows users to create, edit, and delete content. This project introduces more advanced back-end concepts and database management. 10. Event Calendar: Develop an interactive calendar where users can add and manage events. This project helps improve your understanding of date handling and user interaction. ENJOY LEARNING 👍👍

42 142

Repost from Data Analytics

𝗙𝗥𝗘𝗘 𝗚𝗼𝗼𝗴𝗹𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗮𝘁𝗵! 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻 𝟮𝟬𝟮𝟱😍 If you’re dreaming of starting a high-paying data career or switching into the booming tech industry, Google just made it a whole lot easier — and it’s completely FREE👨‍💻 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4cMx2h2 You’ll get access to hands-on labs, real datasets, and industry-grade training created directly by Google’s own experts💻

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30-day roadmap to learn Java up to an intermediate level. This roadmap is designed for beginners, so adjust your pace as needed. Week 1: Java Basics *Day 1-2:* - Day 1: Get Java installed on your computer and set up your development environment. - Day 2: Learn about Java's history, its role in programming, and write your first "Hello, World!" program. *Day 3-4:* - Day 3: Study Java syntax, data types, and variables. - Day 4: Understand operators and perform basic arithmetic operations. *Day 5-7:* - Day 5: Explore control flow with if-else statements and loops (for and while). - Day 6: Dive into switch statements and understand how to handle user choices. - Day 7: Practice writing small programs that use conditions and loops. Week 2: Functions and Object-Oriented Programming *Day 8-9:* - Day 8: Learn about functions (methods) and how to define your own functions in Java. - Day 9: Study function parameters, return types, and method overloading. *Day 10-12:* - Day 10: Understand the basics of object-oriented programming (OOP) in Java. - Day 11: Learn about classes, objects, and constructors. - Day 12: Explore encapsulation, inheritance, and polymorphism. *Day 13-14:* - Day 13: Study Java packages and access modifiers (public, private, protected). - Day 14: Practice creating classes and objects in real-world scenarios. Week 3: Data Structures and Collections *Day 15-17:* - Day 15: Dive into arrays in Java and understand their usage. - Day 16: Study Java's collection framework and ArrayList. - Day 17: Learn about iterating through collections using loops and iterators. *Day 18-19:* - Day 18: Explore other collection types like LinkedList and HashMap. - Day 19: Understand when to use different collection types in Java. *Day 20-21:* - Day 20: Study exception handling in Java and how to deal with errors. - Day 21: Practice working with try-catch blocks and handling exceptions effectively. Week 4: Intermediate Topics and Projects *Day 22-23:* - Day 22: Study file handling in Java, including reading and writing files. - Day 23: Create a small project that involves file operations. *Day 24-26:* - Day 24: Learn about multithreading and how to create and manage threads in Java. - Day 25: Study Java's built-in libraries for networking and socket programming. - Day 26: Work on a project that involves multithreading or networking. *Day 27-28:* - Day 27: Explore more advanced Java topics like JavaFX for GUI development or JDBC for database connectivity. - Day 28: Work on a more complex project that combines your knowledge from the past weeks. *Day 29-30:* - Day 29: Review and revisit any topics you found challenging. - Day 30: Continue building projects and exploring areas of Java that interest you. Consider joining Java communities and forums to seek help and advice. Java is a versatile language with many applications, so your learning journey can continue well beyond this roadmap. Good luck!

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Repost from Data Analytics