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Artificial Intelligence & ChatGPT Prompts

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

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📈 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 42 290 subscribers, ranking 3 096 in the Technologies & Applications category and 8 947 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 42 290 subscribers.

According to the latest data from 02 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 40 over the last 30 days and by -14 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.57%. Within the first 24 hours after publication, content typically collects 0.68% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 663 views. Within the first day, a publication typically gains 286 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
  • 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 03 September, 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.

42 290
Subscribers
-1424 hours
+127 days
+4030 days
Posts Archive
𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼 𝗢𝗻 𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗜𝗻 𝗛𝘆𝗱𝗲𝗿𝗮𝗯𝗮𝗱/𝗣𝘂𝗻𝗲😍 Learn from the Top 1% of
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⌨️ QR code generation in Python
⌨️ QR code generation in Python

Repost from Data Analytics
𝟒 𝐁𝐞𝐬𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 𝐭𝐨 𝐒𝐤𝐲𝐫𝐨𝐜𝐤𝐞𝐭 𝐘𝐨𝐮𝐫 𝐂𝐚𝐫𝐞𝐞𝐫😍 In today’s data-driv
𝟒 𝐁𝐞𝐬𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 𝐭𝐨 𝐒𝐤𝐲𝐫𝐨𝐜𝐤𝐞𝐭 𝐘𝐨𝐮𝐫 𝐂𝐚𝐫𝐞𝐞𝐫😍 In today’s data-driven world, Power BI has become one of the most in-demand tools for businesses〽️📊 The best part? You don’t need to spend a fortune—there are free and affordable courses available online to get you started.💥🧑‍💻 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4mDvgDj Start learning today and position yourself for success in 2025!✅️

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📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 🎓 Get certified & boost your resume 💡 Beginner-friendly & industry recognized ✅ 100% Free Enrollment 👉 Don’t miss out – Upskill for 2025 now! 𝐋𝐢𝐧𝐤 👇:-    https://pdlink.in/4lp7hXQ   🎓 Enroll Now & Get Certified

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𝟯 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲😍 Want to break into Data Science or Tech? Python is the #1 skill you need — and starting is easier than you think.🧑‍💻✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3JemBIt Your career upgrade starts today — no excuses!✅️

9 advanced coding project ideas to level up your skills: 🛒 E-commerce Website — manage products, cart, payments 🧠 AI Chatbot — integrate NLP and machine learning 🗃️ File Organizer — automate file sorting using scripts 📊 Data Dashboard — build interactive charts with real-time data 📚 Blog Platform — full-stack project with user authentication 📍 Location Tracker App — use maps and geolocation APIs 🏦 Budgeting App — analyze income/expenses and generate reports 📝 Markdown Editor — real-time preview and formatting 🔍 Job Tracker — store, filter, and search job applications #coding #projects

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

𝐄𝐚𝐫𝐧 𝐅𝐑𝐄𝐄 𝐎𝐫𝐚𝐜𝐥𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 — 𝐂𝐥𝐨𝐮𝐝, 𝐀𝐈 & 𝐃𝐚𝐭𝐚!😍 Oracle’s Race to C
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🔰 DevOps Roadmap for Beginners 2025 ├── 🧠 What is DevOps? Principles & Culture ├── 🧪 Mini Task: Set up Local CI Pipeline with Shell Scripts ├── ⚙️ Linux Basics: Commands, Shell Scripting ├── 📁 Version Control: Git, GitHub, GitLab ├── 🧪 Mini Task: Automate Deployment via GitHub Actions ├── 📦 Package Managers & Artifact Repositories (npm, pip, DockerHub) ├── 🐳 Docker Essentials: Images, Containers, Volumes, Networks ├── 🧪 Mini Project: Dockerize a MERN App ├── ☁️ CI/CD Concepts & Tools (Jenkins, GitHub Actions) ├── 🧪 Mini Project: CI/CD Pipeline for React App ├── 🧩 Infrastructure as Code: Terraform / Ansible Basics ├── 📈 Monitoring & Logging: Prometheus, Grafana, ELK Stack ├── 🔐 Secrets Management & Security Basics (Vault, .env) ├── 🌐 Web Servers: Nginx, Apache (Reverse Proxy, Load Balancer) ├── ☁️ Cloud Providers: AWS (EC2, S3, IAM), GCP, Azure Overview React with ♥️ if you want me to explain each topic in detail #devops

𝟮𝟱+ 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗗𝗿𝗲𝗮𝗺 �
𝟮𝟱+ 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗗𝗿𝗲𝗮𝗺 𝗝𝗼𝗯 😍 Breaking into Data Analytics isn’t just about knowing the tools — it’s about answering the right questions with confidence🧑‍💻✨️ Whether you’re aiming for your first role or looking to level up your career, these real interview questions will test your skills📊📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3JumloI Don’t just learn — prepare smart✅️

Python PIP Cheatsheet 👆
+8
Python PIP Cheatsheet 👆

𝟮𝟱+ 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗗𝗿𝗲𝗮𝗺 �
𝟮𝟱+ 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗗𝗿𝗲𝗮𝗺 𝗝𝗼𝗯 😍 Breaking into Data Analytics isn’t just about knowing the tools — it’s about answering the right questions with confidence🧑‍💻✨️ Whether you’re aiming for your first role or looking to level up your career, these real interview questions will test your skills📊📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3JumloI Don’t just learn — prepare smart✅️

Data Analyst Scenario based Question and Answers 👇👇 1. Scenario: Creating a Dynamic Sales Growth Report in Power BI Approach: Load Data: Import sales data and calendar tables. Data Model: Establish a relationship between the sales and calendar tables. Create Measures: Current Sales: Current Sales = SUM(Sales[Amount]). Previous Year Sales: Previous Year Sales = CALCULATE(SUM(Sales[Amount]), DATEADD(Calendar[Date], -1, YEAR)). Sales Growth: Sales Growth = [Current Sales] - [Previous Year Sales]. Visualization: Use Line Chart for trends. Use Card Visual for displaying numeric growth values. Slicers and Filters: Add slicers for selecting specific time periods. 2. Scenario: Identifying Top 5 Customers by Revenue in SQL Approach: Understand the Schema: Know the relevant tables and columns, e.g., Orders table with CustomerID and Revenue. SQL Query: SELECT TOP 5 CustomerID, SUM(Revenue) AS TotalRevenue FROM Orders GROUP BY CustomerID ORDER BY TotalRevenue DESC; 3. Scenario: Creating a Monthly Sales Forecast in Power BI Approach: Load Historical Data: Import historical sales data. Data Model: Ensure proper relationships. Time Series Analysis: Use built-in Power BI forecasting features. Create measures for historical and forecasted sales. Visualization: Use a Line Chart to display historical and forecasted sales. Adjust Forecast Parameters: Customize the forecast length and confidence intervals. 4. Scenario: Updating a SQL Table with New Data Approach: Understand the Schema: Identify the table and columns to be updated. SQL Query: UPDATE Employees SET JobTitle = 'Senior Developer' WHERE EmployeeID = 1234; 5. Scenario: Creating a Custom KPI in Power BI Approach: Define KPI: Identify the key performance indicators. Create Measures: Define the KPI measure using DAX. Visualization: Use KPI Visual or Card Visual. Configure the target and actual values. Conditional Formatting: Apply conditional formatting based on the KPI thresholds. Data Analytics Resources 👇👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Hope it helps :)

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SQL Joins ✅
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SQL Joins ✅

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Top 10 CSS Interview Questions 1. What is CSS and what are its key features? CSS (Cascading Style Sheets) is a stylesheet language used to describe the presentation of a document written in HTML or XML. Its key features include controlling layout, styling text, setting colors, spacing, and more, allowing for a separation of content and design for better maintainability and flexibility. 2. Explain the difference between inline, internal, and external CSS. - Inline CSS is applied directly within an HTML element using the style attribute. - Internal CSS is defined within a <style> tag inside the <head> section of an HTML document. - External CSS is linked to an HTML document via the <link> tag and is written in a separate .css file. 3. What is the CSS box model and what are its components? The CSS box model describes the rectangular boxes generated for elements in the document tree and consists of four components: - Content: The actual content of the element. - Padding: The space between the content and the border. - Border: The edge surrounding the padding. - Margin: The space outside the border that separates the element from others. 4. How do you center a block element horizontally using CSS? To center a block element horizontally, you can use the margin: auto; property. For example:
.center {
  width: 50%;
  margin: auto;
}
5. What are CSS selectors and what are the different types? CSS selectors are patterns used to select elements to apply styles. The different types include: - Universal selector (*) - Element selector (element) - Class selector (.class) - ID selector (#id) - Attribute selector ([attribute]) - Pseudo-class selector (:pseudo-class) - Pseudo-element selector (::pseudo-element) 6. Explain the difference between absolute, relative, fixed, and sticky positioning in CSS. - relative: The element is positioned relative to its normal position. - absolute: The element is positioned relative to its nearest positioned ancestor or the initial containing block if none exists. - fixed: The element is positioned relative to the viewport and does not move when the page is scrolled. - sticky: The element is treated as relative until a given offset position is met in the viewport, then it behaves as fixed. 7. What is Flexbox and how is it used in CSS? Flexbox (Flexible Box Layout) is a layout model that allows for more efficient arrangement of elements within a container. It is used to align and distribute space among items in a container, even when their size is unknown or dynamic. Flexbox is enabled by setting display: flex; on a container element. 8. How do you create a responsive design in CSS? Responsive design can be achieved using media queries, flexible grid layouts, and relative units like percentages, em, and rem. Media queries adjust styles based on the viewport's width, height, and other characteristics. For example:
@media (max-width: 600px) {
  .container {
    width: 100%;
  }
}
9. What are CSS preprocessors and name a few popular ones. CSS preprocessors extend CSS with variables, nested rules, and functions, making it more powerful and easier to maintain. Popular CSS preprocessors include: - Sass (Syntactically Awesome Style Sheets) - LESS (Leaner Style Sheets) - Stylus 10. How do you implement CSS animations? CSS animations are implemented using the @keyframes rule to define the animation and the animation property to apply it to an element. For example:
@keyframes example {
  from {background-color: red;}
  to {background-color: yellow;}
}

.element {
  animation: example 5s infinite;
}
Web Development Best Resources: https://topmate.io/coding/930165 ENJOY LEARNING 👍👍