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Learn Web Development From Scratch 0️⃣ HTML / CSS 1️⃣ JavaScript 2️⃣ React / Vue / Angular 3️⃣ Node.js / Express 4️⃣ REST API 5️⃣ SQL / NoSQL Databases 6️⃣ UI / UX Design 7️⃣ Git / GitHub Admin: @love_data

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📈 Análisis del canal de Telegram Web Development

El canal Web Development (@webdevcoursefree) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 78 468 suscriptores, ocupando la posición 1 638 en la categoría Tecnologías y Aplicaciones y el puesto 4 118 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 78 468 suscriptores.

Según los últimos datos del 14 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 657, y en las últimas 24 horas de 56, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.37%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.30% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 643 visualizaciones. En el primer día suele acumular 1 020 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 10.
  • Intereses temáticos: El contenido se centra en temas clave como html, css, javascript, github, git.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Learn Web Development From Scratch 0️⃣ HTML / CSS 1️⃣ JavaScript 2️⃣ React / Vue / Angular 3️⃣ Node.js / Express 4️⃣ REST API 5️⃣ SQL / NoSQL Databases 6️⃣ UI / UX Design 7️⃣ Git / GitHub Admin: @love_data

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 15 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.

78 468
Suscriptores
+5624 horas
+1947 días
+65730 días
Archivo de publicaciones
Your Roadmap to be a Full Stack Developer in 1 Year ↓ HTML/CSS → 45 Days ↓ JavaScript + DOM → 45 Days ↓ React → 20 Days ↓ Next.js → 30 Days ↓ Java/Golang/Python/Node.js → 45 Days ↓ Spring/Django/Express → 30 Days ↓ GraphQL → 30 Days ↓ PostgreSQL/MySQL/MongoDB → 30 Days ↓ [Any of] Docker/K8S/Kafka/Redis → 30 Days ↓ Cloud Computing → 20 Days ↓ Build an End-to-End Project → 40 Days Tip: • Start with projects and enhance it step by step. 📂 Web Development Resources ENJOY LEARNING 👍👍

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📌Contrast between a good UX layout and a BAD UX layout
📌Contrast between a good UX layout and a BAD UX layout

𝟰 𝗙𝘂𝗹𝗹‑𝗦𝘁𝗮𝗰𝗸 𝗖𝗼𝗱𝗶𝗻𝗴 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗧𝗵𝗮𝘁 𝗜𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆 𝗟𝗲𝘃𝗲𝗹‑𝗨𝗽 𝗬𝗼𝘂𝗿 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼�
𝟰 𝗙𝘂𝗹𝗹‑𝗦𝘁𝗮𝗰𝗸 𝗖𝗼𝗱𝗶𝗻𝗴 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗧𝗵𝗮𝘁 𝗜𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆 𝗟𝗲𝘃𝗲𝗹‑𝗨𝗽 𝗬𝗼𝘂𝗿 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼😍 Why Your Portfolio Matters in Tech🧑‍🎓 In 2025, having just a resume isn’t enough. Employers want to see proof of your skills — real projects that demonstrate your coding abilities, problem-solving, and understanding of end-to-end development📊✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3IMuFQu All The Best 🎊

🔰 Backend RoadMap 2025 Beginner To Advanced #webdevelopment
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🔰 Backend RoadMap 2025 Beginner To Advanced #webdevelopment

🔰 JS Interview Q/A Post Pdf 🔗 React ❤️ for more 🚀

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Data Structures Cheatsheet 👆
Data Structures Cheatsheet 👆

photo content

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The Only SQL You Actually Need For Your First Job (Data Analytics) The Learning Trap: What Most Beginners Fall Into When starting out, it's common to feel like you need to master every possible SQL concept. You binge YouTube videos, tutorials, and courses, yet still feel lost in interviews or when given a real dataset. Common traps: - Complex subqueries - Advanced CTEs - Recursive queries - 100+ tutorials watched - 0 practical experience Reality Check: What You'll Actually Use 75% of the Time Most data analytics roles (especially entry-level) require clarity, speed, and confidence with core SQL operations. Here’s what covers most daily work: 1. SELECT, FROM, WHERE — The Foundation SELECT name, age FROM employees WHERE department = 'Finance'; This is how almost every query begins. Whether exploring a dataset or building a dashboard, these are always in use. 2. JOINs — Combining Data From Multiple Tables SELECT e.name, d.department_name FROM employees e JOIN departments d ON e.department_id = d.id; You’ll often join tables like employee data with department, customer orders with payments, etc. 3. GROUP BY — Summarizing Data SELECT department, COUNT(*) AS employee_count FROM employees GROUP BY department; Used to get summaries by categories like sales per region or users by plan. 4. ORDER BY — Sorting Results SELECT name, salary FROM employees ORDER BY salary DESC; Helps sort output for dashboards or reports. 5. Aggregations — Simple But Powerful Common functions: COUNT(), SUM(), AVG(), MIN(), MAX() SELECT AVG(salary) FROM employees WHERE department = 'IT'; Gives quick insights like average deal size or total revenue. 6. ROW_NUMBER() — Adding Row Logic SELECT * FROM ( SELECT *, ROW_NUMBER() OVER(PARTITION BY customer_id ORDER BY order_date DESC) as rn FROM orders ) sub WHERE rn = 1; Used for deduplication, rankings, or selecting the latest record per group. Credits: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 React ❤️ for more

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Frontend Development Roadmap
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Frontend Development Roadmap

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Project ideas for Web Development 👆 💡 How many of these you have build already?
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Project ideas for Web Development 👆 💡 How many of these you have build already?

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React Redux Workflow - Graphical Cheat Sheet
React Redux Workflow - Graphical Cheat Sheet

📌Figma Plugins
📌Figma Plugins

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Scientific programming in python cheat sheet
Scientific programming in python cheat sheet