Python Courses & Resources

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Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho

Red:Machine Learning with Python India7 067 Educación3 420...

📈 Análisis del canal de Telegram Python Courses & Resources

El canal Python Courses & Resources (@python53) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 50 417 suscriptores, ocupando la posición 3 420 en la categoría Educación y el puesto 7 067 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 50 417 suscriptores.

Según los últimos datos del 30 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 348, y en las últimas 24 horas de 45, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.50%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.35% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 1 260 visualizaciones. En el primer día suele acumular 680 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 consultation, dentist, insidead, waybienad, appointment.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 31 agosto, 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 Educación.

50 417

Suscriptores

+4524 horas

+177 días

+34830 días

1 260

Visitas de la publicación

~ 68024 horas

~ 97548 horas

2.50%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

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Python Celery for Distributed Tasks and Parallel Programming [EN] 🖥 By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️ https://t.me/DataScienceN 😱

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⌨️ #Python Celery for Distributed Tasks and Parallel Programming [EN] 🎓 What will you learn?

Learn to analyze data using Pandas and Spark, and create background tasks using Celery and RabbitMQ. This course covers loading data from various sources, processing large amounts of data using DataFrame, running parallel tasks, and integrating with Kafka JDBC Connector.

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Repost from Machine Learning with Python

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Repost from Machine Learning with Python

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Repost from Machine Learning with Python

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Just one lile

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Introduction to Qdrant (Vector Database) Using Python [EN]

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📈 Introduction to Qdrant (Vector Database) Using Python [EN] 🎓 What will you learn? In this #course, you will gain practical skills in working with Qdrant through its Python interface. You will learn how to store, search, and manage vectors and their data. The course includes examples, #Python notebooks, tests and explains the basic concepts of #Qdrant. 🖥 By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

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Repost from Machine Learning with Python

⚡ Special Offer for 3 Days: Join our exclusive (paid) channel for a lifetime and get your own bot to download over a million books with daily updates, and a special bot to download more than 80 million scientific articles, all for just $30, a one-time payment only. The paid channel includes a vast encyclopedia of the most famous books and training courses in all fields of data science and programming languages. We only accept payments via PayPal and cryptocurrencies. Contact: t.me/HusseinSheikho ✅

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🖥 Tutorial: Building a Neural Network from Scratch in Python! 🕞 Duration: 1:13:06 🔗 Link: *click*

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