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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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📈 Аналитический обзор Telegram-канала Artificial Intelligence & ChatGPT Prompts

Канал Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 42 283 подписчиков, занимая 3 098 место в категории Технологии и приложения и 8 965 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 42 283 подписчиков.

Согласно последним данным от 01 сентября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 84, а за последние 24 часа — -1, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 1.55%. В первые 24 часа после публикации контент обычно набирает 0.68% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 655 просмотров. В течение первых суток публикация набирает 288 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, algorithm, detection, llm, pattern.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
🔓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

Благодаря высокой частоте обновлений (последние данные получены 02 сентября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

42 283
Подписчики
-124 часа
+257 дней
+8430 дней
Архив постов
⌨️ 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!✅️

Ages of Operating Systems👨🏻‍💻😎 📂 Windows 11 (3 years old) 🪟 Windows 10 (8 years old) 🍎 macOS Yosemite (10 years old) 🐉 Kali Linux (11 years old) 💻 Windows 8 (12 years old) 🌐 Manjaro (11 years old) 💻 Windows 7 (14 years old) 🖥️ Windows Vista (17 years old) 🌿 Linux Mint (18 years old) 🐧 Ubuntu (20 years old) ⚙️ Fedora (20 years old) 🔧 OpenSUSE (20 years old) ⚙️ CentOS (20 years old) 🐧 Arch Linux (22 years old) 🍏 macOS (22 years old) 💻 Windows XP (23 years old) 🖥️ Windows 2000 (24 years old) 📱 Windows 98 (25 years old) 🌍 Windows 95 (28 years old) 💻 Windows 3.1 (29 years old) 🖥️ OS/2 (32 years old) 🐧 Debian (31 years old) 🔴 Red Hat Linux (30 years old) 🎮 AmigaOS (34 years old) 🖥️ Xenix (40 years old) 📀 VMS (44 years old) 💾 MS-DOS (42 years old) 💾 CP/M (49 years old) 🖥️ Unix (54 years old)

📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 🎓 Get certified & boost your resume 💡
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𝟯 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲😍 Want to break into Data Science
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
𝐄𝐚𝐫𝐧 𝐅𝐑𝐄𝐄 𝐎𝐫𝐚𝐜𝐥𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 — 𝐂𝐥𝐨𝐮𝐝, 𝐀𝐈 & 𝐃𝐚𝐭𝐚!😍 Oracle’s Race to Certification is here — your chance to earn globally recognized certifications for FREE!💥 💡 Choose from in-demand certifications in: ☁️ Cloud 🤖 AI 📊 Data …and more! 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4lx2tin ⚡But hurry — spots are limited, and the clock is ticking!✅️

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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 :)

🚀 𝗧𝗼𝗽 𝟱 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱 | 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 😍 📈 Upgrade your career with in-de
🚀 𝗧𝗼𝗽 𝟱 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱 | 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 😍 📈 Upgrade your career with in-demand tech skills & FREE certifications! 1️⃣ AI & ML – https://pdlink.in/3U3eZuq 2️⃣ Data Analytics – https://pdlink.in/4lp7hXQ 3️⃣ Cloud Computing – https://pdlink.in/3GtNJlO 4️⃣ Cyber Security – https://pdlink.in/4nHBuTh 5️⃣ More Courses – https://pdlink.in/3ImMFAB 🎓 100% FREE | Certificates Provided | Learn Anytime, Anywhere

SQL Joins ✅
+6
SQL Joins ✅

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You don’t need to be a genius to profit from crypto. You just need clear info you can trust. 👉🏼 Follow here — and see how simple it can be: https://t.me/+Zo976LnS8LlkMzky

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 👍👍

𝐒𝐭𝐚𝐫𝐭 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — 𝟏𝟎𝟎% 𝐅𝐫𝐞𝐞 & 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫-𝐅𝐫𝐢𝐞𝐧𝐝𝐥𝐲😍 Want
𝐒𝐭𝐚𝐫𝐭 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — 𝟏𝟎𝟎% 𝐅𝐫𝐞𝐞 & 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫-𝐅𝐫𝐢𝐞𝐧𝐝𝐥𝐲😍 Want to dive into data analytics but don’t know where to start?🧑‍💻✨️ These free Microsoft learning paths take you from analytics basics to creating dashboards, AI insights with Copilot, and end-to-end analytics with Microsoft Fabric.📊📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/47oQD6f No prior experience needed — just curiosity✅️