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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 39 175 suscriptores, ocupando la posición 3 501 en la categoría Tecnologías y Aplicaciones y el puesto 10 515 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 39 175 suscriptores.

Según los últimos datos del 09 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 443, y en las últimas 24 horas de 15, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.52%. 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 988 visualizaciones. En el primer día suele acumular 374 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
  • 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 10 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.

39 175
Suscriptores
+1524 horas
+827 días
+44330 días
Archivo de publicaciones
Repost from Free Online Courses
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context engineering | AI Coding Glossary ✨ 📖 The systematic design and optimization of the information given to a model at inference time so it can answer effectively. 🏷️ #Python

temperature | AI Coding Glossary ✨ 📖 A decoding parameter that rescales model logits before sampling. 🏷️ #Python

Repost from Machine Learning
📌 Python 3.14 and the End of the GIL 🗂 Category: PROGRAMMING 🕒 Date: 2025-10-18 | ⏱️ Read time: 16 min read Exploring the
📌 Python 3.14 and the End of the GIL 🗂 Category: PROGRAMMING 🕒 Date: 2025-10-18 | ⏱️ Read time: 16 min read Exploring the opportunities and challenges of a GIL-free Python

hallucination | AI Coding Glossary ✨ 📖 When a generative model produces confident but false or unverifiable content and presents it as fact. 🏷️ #Python

system prompt | AI Coding Glossary ✨ 📖 A message that establishes a model’s role, goals, constraints, and style before user inputs. 🏷️ #Python

training | AI Coding Glossary ✨ 📖 The process of fitting a model’s parameters to data by minimizing a loss function. 🏷️ #Python

prompt engineering | AI Coding Glossary ✨ 📖 The practice of designing and refining prompts for generative models. 🏷️ #Python

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generative model | AI Coding Glossary ✨ 📖 A model that learns a data distribution so it can generate new samples or assign probabilities to observations. 🏷️ #Python

neural network | AI Coding Glossary ✨ 📖 A computational model composed of layered, interconnected units that learn learn input-to-output mappings. 🏷️ #Python

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✨ Quiz: Polars vs pandas: What's the Difference? ✨ 📖 Take this quiz to test your knowledge of the Polars vs pandas tutorial
Quiz: Polars vs pandas: What's the Difference? ✨ 📖 Take this quiz to test your knowledge of the Polars vs pandas tutorial and review the key differences between these open-source Python libraries. 🏷️ #intermediate #data-science #python

machine learning | AI Coding Glossary ✨ 📖 A subfield of AI that builds models that improve their performance on a task by learning patterns from data. 🏷️ #Python

transformer | AI Coding Glossary ✨ 📖 A neural network model that uses self-attention to handle sequences without recurrence or convolutions. 🏷️ #Python

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