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Learn Python Coding

Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 Análisis del canal de Telegram Learn Python Coding

El canal Learn Python Coding (@pythonre) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 40 895 suscriptores, ocupando la posición 3 279 en la categoría Tecnologías y Aplicaciones y el puesto 9 139 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 895 suscriptores.

Según los últimos datos del 04 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 252, y en las últimas 24 horas de 21, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.06%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.96% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 069 visualizaciones. En el primer día suele acumular 391 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 math, harvard, oxford, supervision, waybienad.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 06 noviembre, 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.

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40 895
Suscriptores
+2124 horas
+307 días
+25230 días
Archivo de publicaciones
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We launched a donation campaign for the channel in order to cancel downloading methods through links and ads A donation campa
We launched a donation campaign for the channel in order to cancel downloading methods through links and ads A donation campaign will be launched and when the campaign ends, the books will be sent back as Telegram files PayPal address: https://www.paypal.me/HusseinSheikho Payeer address: P1074516788 Bitcoin Address: 3PupVb9Sqio3yPuy7Wvj6c2R6X7Ux1XyjK Ethereum Address: 0x20e7B364d17A765a43051C504E8644dF1F815097 Litecoin Address: ltc1qll8554ul7n9lfqn2fnwafzhdct6w3g8xxn7uh5 Bitcoin cash Address: bitcoincash:qp0gk65jcpc90hs93jpcfxvrgrr3j9gzj5lyftv05r Dash Address: XjMydFdzAMoAS8LR9pmE62BUMqebu2rxdo Tether ERC-20 address: 0x20e7B364d17A765a43051C504E8644dF1F815097 Tether TRC-20 Address: TMzAr8AFcZ1n5RXZa3BHPXHBRqugx9Skr7 Ripple Address: rshvnxLDE9Jsm8sJxPxct425HhQC2tk5CV || 25741932 Dogecoin Address: DDacCuA9r83As1DRrEmWeuys9aTx5VCwUb Tron TRC-20 Address: TMzAr8AFcZ1n5RXZa3BHPXHBRqugx9Skr7

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Important notice for users of the send.cm cloud, which is used to upload files in the cloud, such as Google Drive Please go to the account settings and activate the monetization option and save the settings in order to activate the automatic profit feature by sharing your files links with the public For those who have not yet registered an account, register here: https://send.cm/free83576.html For us: We will upload all our services to this cloud, and as necessary, create a free account in order to increase the download speed to the maximum speed, and do not forget to activate the monetization option in order to achieve profits when sharing your files with others. https://send.cm/free83576.html

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Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data (2022) 🔗 Download Link: https://send.cm/d/Fdso ✅ By:@DataScience_Books

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