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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

前往频道在 Telegram

🔓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

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📈 Telegram 频道 Artificial Intelligence & ChatGPT Prompts 的分析概览

频道 Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 42 291 名订阅者,在 技术与应用 类别中位列第 3 082,并在 印度 地区排名第 8 969

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 42 291 名订阅者。

根据 29 八月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 49,过去 24 小时变化为 8,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 1.49%。内容发布后 24 小时内通常能获得 0.68% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 630 次浏览,首日通常累积 287 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 3
  • 主题关注点: 内容集中在 learning, algorithm, detection, llm, pattern 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
🔓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

凭借高频更新(最新数据采集于 30 八月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

42 291
订阅者
+824 小时
-157
+4930
帖子存档
𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗜𝗻 𝗧𝗼𝗽 𝗠𝗡𝗖𝘀😍 Learn Data Analytics, Data Science & AI
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Express.js Learning Roadmap: From Basics to Advanced 1. Getting Started with Express.js Introduction to Express.js: Understand why Express.js is used and how it simplifies Node.js applications. Setup: Install Node.js and Express using npm. Create a basic Express server. 2. Core Concepts Routing: Define routes using app.get(), app.post(), app.put(), and app.delete(). Middleware: Understand middleware functions and use built-in, third-party, and custom middleware. Request and Response: Handle HTTP requests (req) and responses (res). 3. Templating Engines Introduction: Learn about templating engines like EJS, Handlebars, or Pug. Dynamic HTML: Render dynamic content using templates. 4. Working with RESTful APIs Create APIs: Build RESTful APIs with Express. Handle Query Parameters: Parse URL parameters and query strings. Send JSON Responses: Format and send JSON data to clients. 5. Middleware and Error Handling Middleware Basics: Use next() for request flow. Error Handling: Implement custom error-handling middleware. Logging: Use libraries like morgan for logging requests. 6. Database Integration Connect to Databases: Integrate MongoDB (Mongoose), MySQL, or PostgreSQL. Perform CRUD Operations: Build database-backed routes for Create, Read, Update, Delete operations. 7. Authentication and Authorization Authentication: Implement user authentication using sessions, cookies, or JSON Web Tokens (JWT). Authorization: Restrict routes to specific user roles. 8. File Uploads and Static Files File Uploads: Use multer for handling file uploads. Serve Static Files: Use express.static() to serve images, CSS, and JavaScript files. 9. Advanced Features CORS: Enable Cross-Origin Resource Sharing for APIs. Rate Limiting: Protect APIs from abuse using rate-limiting middleware. Real-Time Features: Integrate with WebSockets for live data. 10. Testing and Debugging Unit Testing: Test routes using supertest and Jest or Mocha. Debugging: Use tools like node-inspect or debug library. 11. Deployment Prepare for Deployment: Use environment variables and production-ready configurations. Deployment Platforms: Deploy on Heroku, Vercel, or AWS Elastic Beanstalk. Scaling: Optimize your app for performance and scalability. 12. Build Projects Beginner: Build a to-do list API. Intermediate: Develop a blog backend with user authentication. Advanced: Create a real-time chat application using Express and WebSockets. Deploy your projects to demonstrate your skills. 📂 Web Development Resources ENJOY LEARNING 👍👍

𝗛𝗶𝗱𝗱𝗲𝗻 𝗚𝗲𝗺 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗠𝗜𝗧, 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 & 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱!😍 Still searching for
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𝐉𝐮𝐧𝐢𝐨𝐫 𝐯𝐬. 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 What’s the real difference between Junior and Senior Data Analyst? It’s not just SQL skills or years on the job — it’s how they think. 📚Juniors code right away 🧠Seniors figure out the problem first Example: Juniors query without asking, Seniors check the goal. 📚Juniors follow orders 🧠Seniors ask questions Example: Juniors build blindly, Seniors confirm metrics. 📚Juniors patch data 🧠Seniors fix the source Example: Juniors fill gaps, Seniors debug the ETL. 📚Juniors stall in chaos 🧠Seniors make a plan Example: Juniors wait, Seniors step up. 📚Juniors focus on tasks 🧠Seniors see the big picture Example: Juniors report, Seniors connect to goals. 📚Juniors guess 🧠Seniors clarify Example: Juniors assume, Seniors ask the team. 📚Juniors stick to old tools 🧠Seniors try new ones Example: Juniors love Excel, Seniors code in Python. 📚Juniors give data 🧠Seniors give insights Example: Juniors share stats, Seniors spot trends. Seniority is about mindset, not just time.

🚨 𝗛𝗶𝗿𝗶𝗻𝗴 𝗔𝗹𝗲𝗿𝘁 𝗳𝗼𝗿 𝗙𝗿𝗲𝘀𝗵𝗲𝗿𝘀 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱! Top companies are now hiring across India in mul
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SQL Tricks to Level Up Your Database Skills 🚀 SQL is a powerful language, but mastering a few clever tricks can make your queries faster, cleaner, and more efficient. Here are some cool SQL hacks to boost your skills: 1️⃣ Use COALESCE Instead of CASE Instead of writing a long CASE statement to handle NULL values, use COALESCE():
SELECT COALESCE(name, 'Unknown') FROM users;
This returns the first non-null value in the list. 2️⃣ Generate Sequential Numbers Without a Table Need a sequence of numbers but don’t have a numbers table? Use GENERATE_SERIES (PostgreSQL) or WITH RECURSIVE (MySQL 8+):
SELECT generate_series(1, 10);
3️⃣ Find Duplicates Quickly Easily identify duplicate values with GROUP BY and HAVING:
SELECT email, COUNT(*) 
FROM users 
GROUP BY email 
HAVING COUNT(*) > 1;
4️⃣ Randomly Select Rows Want a random sample of data? Use: - PostgreSQL: ORDER BY RANDOM() - MySQL: ORDER BY RAND() - SQL Server: ORDER BY NEWID() 5️⃣ Pivot Data Without PIVOT (For Databases Without It) Use CASE with SUM() to pivot data manually:
SELECT 
    user_id,
    SUM(CASE WHEN status = 'active' THEN 1 ELSE 0 END) AS active_count,
    SUM(CASE WHEN status = 'inactive' THEN 1 ELSE 0 END) AS inactive_count
FROM users
GROUP BY user_id;
6️⃣ Efficiently Get the Last Inserted ID Instead of running a separate SELECT, use: - MySQL: SELECT LAST_INSERT_ID(); - PostgreSQL: RETURNING id; - SQL Server: SELECT SCOPE_IDENTITY(); Like for more ❤️

𝗪𝗶𝗽𝗿𝗼’𝘀 𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿: 𝗬𝗼𝘂𝗿 𝗙𝗮𝘀𝘁-𝗧𝗿𝗮𝗰𝗸 𝘁𝗼 𝗮 𝗗𝗮𝘁𝗮 𝗖𝗮𝗿𝗲
𝗪𝗶𝗽𝗿𝗼’𝘀 𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿: 𝗬𝗼𝘂𝗿 𝗙𝗮𝘀𝘁-𝗧𝗿𝗮𝗰𝗸 𝘁𝗼 𝗮 𝗗𝗮𝘁𝗮 𝗖𝗮𝗿𝗲𝗲𝗿!😍 Want to break into Data Science but don’t have a degree or years of experience? Wipro just made it easier than ever!👨‍🎓✨️ With the Wipro Data Science Accelerator, you can start learning for FREE—no fancy credentials needed. Whether you’re a beginner or an aspiring data professional👨‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4hOXcR7 Ready to start? Explore Wipro’s Data Science Accelerator here✅️

Deep Learning with Python 📚 book
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𝗧𝗼𝗽 𝟱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟱 | 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 😍 Acquire industry-relevan
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Frontend Development Interview Questions Beginner Level 1. What are semantic HTML tags? 2. Difference between id and class in HTML? 3. What is the Box Model in CSS? 4. Difference between margin and padding? 5. What is a responsive web design? 6. What is the use of the <meta viewport> tag? 7. Difference between inline, block, and inline-block elements? 8. What is the difference between == and === in JavaScript? 9. What are arrow functions in JavaScript? 10. What is DOM and how is it used? Intermediate Level 1. What are pseudo-classes and pseudo-elements in CSS? 2. How do media queries work in responsive design? 3. Difference between relative, absolute, fixed, and sticky positioning? 4. What is the event loop in JavaScript? 5. Explain closures in JavaScript with an example. 6. What are Promises and how do you handle errors with .catch()? 7. What is a higher-order function? 8. What is the difference between localStorage and sessionStorage? 9. How does this keyword work in different contexts? 10. What is JSX in React? Advanced Level 1. How does the virtual DOM work in React? 2. What are controlled vs uncontrolled components in React? 3. What is useMemo and when should you use it? 4. How do you optimize a large React app for performance? 5. What are React lifecycle methods (class-based) and their hook equivalents? 6. How does Redux work and when should you use it? 7. What is code splitting and why is it useful? 8. How do you secure a frontend app from XSS attacks? 9. Explain the concept of Server-Side Rendering (SSR) vs Client-Side Rendering (CSR). 10. What are Web Components and how do they work? React ❤️ for the detailed answers Join for free resources: 👇 https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z

𝟱 𝗠𝘂𝘀𝘁-𝗪𝗮𝘁𝗰𝗵 𝗩𝗶𝗱𝗲𝗼𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱 (𝗙𝗥𝗘𝗘)😍 Want to become a
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🔥 𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼 𝗖𝗹𝗮𝘀𝘀 𝗶𝗻 𝗣𝘂𝗻𝗲! 😍 Want to crack a job at top tech c
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𝟰 𝗙𝗥𝗘𝗘 𝗘𝘅𝗰𝗲𝗹 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱
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Most people learn SQL just enough to pull some data. But if you really understand it, you can analyze massive datasets without touching Excel or Python. Here are 8 game-changing SQL concepts that will make you a data pro: 👇 1. Stop pulling raw data. Start pulling insights. The biggest mistake? Running a query that gives you everything and then filtering it later. Good analysts don’t pull raw data. They shape the data before it even reaches them. 2. “SELECT ” is a rookie move. Pulling all columns is lazy and slow. A pro only selects what they need. ✔️ Fewer columns = Faster queries ✔️ Less noise = Clearer insights The more precise your query, the less time you waste cleaning data. 3. GROUP BY is your best friend. You don’t need 100,000 rows of transactions. What you need is: ✔️ Sales per region ✔️ Average order size per customer ✔️ Number of signups per month Grouping turns chaotic data into useful summaries. 4. Joins = Connecting the dots. Your most important data is split across multiple tables. Want to know how much each customer spent? You need to join: ✔️ Customer info ✔️ Order history ✔️ Payments Joins = unlocking hidden insights. 5. Window functions will blow your mind. They let you: ✔️ Rank customers by total purchases ✔️ Calculate rolling averages ✔️ Compare each row to the overall trend It’s like pivot tables, but way more powerful. 6. CTEs will save you from spaghetti SQL. Instead of writing a 50-line nested query, break it into steps. CTEs (Common Table Expressions) make your SQL: ✔️ Easier to read ✔️ Easier to debug ✔️ Reusable Good SQL is clean SQL. 7. Indexes = Speed. If your queries take forever, your database is probably doing unnecessary work. Indexes help databases find data faster. If you work with large datasets, this is a game changer. SQL isn’t just about pulling data. It’s about analyzing, transforming, and optimizing it. Master these 7 concepts, and you’ll never look at SQL the same way again. Join us on WhatsApp: https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v

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Amazon Data Analyst Interview Questions for 1-3 years of experience role :- A. SQL: 1. You have two tables: Employee and Department. - Employee Table Columns: Employee_id, Employee_Name, Department_id, Salary - Department Table Columns: Department_id, Department_Name, Location Write an SQL query to find the name of the employee with the highest salary in each location. 2. You have two tables: Orders and Customers. - Orders Table Columns: Order_id, Customer_id, Order_Date, Amount - Customers Table Columns: Customer_id, Customer_Name, Join_Date Write an SQL query to calculate the total order amount for each customer who joined in the current year. The output should contain Customer_Name and the total amount. B. Python: 1. Basic oral questions on NumPy (e.g., array creation, slicing, broadcasting) and Matplotlib (e.g., plot types, customization). 2. Basic oral questions on pandas (like: groupby, loc/iloc, merge & join, etc.) 2. Write the code in NumPy and Pandas to replicate the functionality of your answer to the second SQL question. C. Leadership or Situational Questions: (Based on the leadership principle of Bias for Action) - Describe a situation where you had to make a quick decision with limited information. How did you proceed, and what was the outcome? (Based on the leadership principle of Dive Deep) - Can you share an example of a project where you had to delve deeply into the data to uncover insights or solve a problem? What steps did you take, and what were the results? (Based on the leadership principle of Customer Obsession) - Tell us about a time when you went above and beyond to meet a customer's needs or expectations. How did you identify their requirements, and what actions did you take to deliver exceptional service? D. Excel: Questions on advanced functions like VLOOKUP, XLookup, SUMPRODUCT, INDIRECT, TEXT functions, SUMIFS, COUNTIFS, LOOKUPS, INDEX & MATCH, AVERAGEIFS. Plus, some basic questions on pivot tables, conditional formatting, data validation, and charts. I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://t.me/DataSimplifier Like if it helps :)

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