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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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📈 Análisis del canal de Telegram Artificial Intelligence & ChatGPT Prompts

El canal Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 42 115 suscriptores, ocupando la posición 3 235 en la categoría Tecnologías y Aplicaciones y el puesto 9 556 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 42 115 suscriptores.

Según los últimos datos del 11 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 171, y en las últimas 24 horas de -2, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.47%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.74% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 040 visualizaciones. En el primer día suele acumular 311 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
  • Intereses temáticos: El contenido se centra en temas clave como learning, algorithm, detection, llm, pattern.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
🔓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

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 12 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

42 115
Suscriptores
-224 horas
+317 días
+17130 días
Archivo de publicaciones
Lol 😂
Lol 😂

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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. They’re really important for filtering and analyzing your data. Let’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 you’ll be great at SQL in no time. Like this post if you need more 👍❤️ Hope it helps :)

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

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⌨️ QR code generation in Python
⌨️ QR code generation in Python

Repost from Data Analytics
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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! 💥

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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 👆
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Python PIP Cheatsheet 👆