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El país no está especificadoTecnologías y Aplicaciones2 393

📈 Análisis del canal de Telegram Python Projects & Free Courses

El canal Python Projects & Free Courses (@pythonallprojects) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 55 419 suscriptores, ocupando la posición 2 393 en la categoría Tecnologías y Aplicaciones.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 55 419 suscriptores.

Según los últimos datos del 04 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -858, y en las últimas 24 horas de -24, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.51%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 3 055 visualizaciones. En el primer día suele acumular 0 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 14.
  • Intereses temáticos: El contenido se centra en temas clave como certification, notepad, physicswallah, stack, internship.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Free Python Projects & Free Courses

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 05 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.

55 419
Suscriptores
-2424 horas
-1797 días
-85830 días
Archivo de publicaciones
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If you want to become 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 for 𝗙𝗥𝗘𝗘, Follow this Roadmap from Analytics Vidhya: 𝟭 - 𝗘𝘅𝗰𝗲𝗹: Start with Excel, Analyzing Data in Excel empowers you to understand data through detailed visual summaries, trends, and patterns. Remember most of the senior leaders across industries use Excel to visualize and understand numbers. - 𝗘𝘅𝗰𝗲𝗹 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: https://tinyurl.com/4ececmcb 𝟮 - 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲: Choose 'Python' or ' R ', any one language for your journey, Python may be the ideal choice if you want to make a transition in Data Science. - 𝗣𝘆𝘁𝗵𝗼𝗻 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: https://tinyurl.com/4ececmcb 3 - Pandas for Data Analysis in Python: Ace your data handling, exploring and analysis skills with the Pandas module in Python. - Resources: https://tinyurl.com/ymsn2mva 4 - 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘀𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀: Learn Tableau or Power BI to develop Storytelling skills. - [Tableau] Resourcehttps://tinyurl.com/25s3vkcn 5 - Top Data Science Projects for Analyst and Data Scientist: Work on - Resources:  https://tinyurl.com/bdkye9k8

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