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

Red:Machine Learning with Python India10 033 Tecnologías y Aplicaciones3 444...

📈 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 39 366 suscriptores, ocupando la posición 3 444 en la categoría Tecnologías y Aplicaciones y el puesto 10 033 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 39 366 suscriptores.

Según los últimos datos del 25 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 442, y en las últimas 24 horas de 19, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.40%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.97% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 552 visualizaciones. En el primer día suele acumular 381 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
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 26 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.

39 366

Suscriptores

+1924 horas

+727 días

+44230 días

552

Visitas de la publicación

~ 38124 horas

~ 51048 horas

1.40%

Tasa de compromiso

~ 4

Mensajes por día

Ads index

beta

Archivo de publicaciones

39 368

📚 Numerical Methods Using Java (2022) 🔗 Download Link: https://wikile.org/Qgc4 ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Data Analysis & Dashboarding with Microsoft Excel (2022) 🔗 Download Link: https://wikile.org/OiJ9 ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Interactive tools for machine learning, Deep learning and math 🔗 GitHub Link: https://wikile.org/oj2s10 ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Optimization for Data Analysis (2022) 🔗 Download Link: https://wikile.org/Lrqgqs ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

Repost from Data Science Books

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39 368

📚 Applied Missing Data Analysis (2022) 🔗 Download Link: https://wikile.org/feHP ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 R in Action (2022) 🔗 Download Link: https://wikile.org/tlYHDL ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Julia for Data Analysis (2022) 🔗 Download Link: https://wikile.org/lkBRz ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Data Analysis and Related Applications (2022) 🔗 Download Link: https://wikile.org/9K5Up ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Pattern Recognition and Data Analysis with Applications (2022) 🔗 Download Link: https://wikile.org/zQRRGQDu ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

Full Stack Deep Learning course edition is Marvelous, in case you haven’t checked out. Great content and presentation, and the course is FREE for everyone. All the lectures are available on YouTube. ✅ Lecture 1: Course Vision and When to Use ML ✅ Lecture 2: Development Infrastructure & Tooling ✅ Lecture 3: Troubleshooting & Testing ✅ Lecture 4 : Data Management ✅ Lecture 5 : Deployment ✅ Lecture 6: Continual Learning ✅ Lecture 7: Foundation Models ✅ Lecture 8: ML Teams and Project Management ✅ Lecture 9: Ethics Check out the full videos and detailed notes on their website 🔗 Enroll Link: https://wikile.org/rU9kcA ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Modern Classification and Data Analysis (2022) 🔗 Download Link: https://wikile.org/4q3dB51x ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

Deep learning course from University of Geneva https://wikile.org/HCkLB

39 368

📚 Practical Nest.js (2022) 🔗 Download Link: https://wikile.org/Z25GV0 ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Deep Learning for EEG-based Brain-computer Interfaces (2022) 🔗 Download Link: https://wikile.org/cT5nv ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Object Detection with Deep Learning Models (2022) 🔗 Download Link: https://wikile.org/8blHggm ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Evolutionary Deep Learning (2022) 🔗 Download Link: https://wikile.org/J6E2Ml ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

📚 Deep learning with TensorFlow and Keras (2022) 🔗 Download Link: https://wikile.org/gEHvnS ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟

39 368

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39 368

📚 Accelerate Deep Learning Workloads with Amazon SageMaker (2022) 🔗 Download Link: https://wikile.org/ZpaUbHt ⭐️ Watch the download video successfully ✅ By: @DataScience_Books 🌟