Learn Python Coding
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
Mostrar más📈 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 40 900 suscriptores, ocupando la posición 3 279 en la categoría Tecnologías y Aplicaciones y el puesto 9 343 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 900 suscriptores.
Según los últimos datos del 25 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 455, y en las últimas 24 horas de 3, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.41%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.49% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 395 visualizaciones. En el primer día suele acumular 608 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 octubre, 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.
Cargando datos
| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 26 octubre | +8 | |||
| 25 octubre | +7 | |||
| 24 octubre | +1 | |||
| 23 octubre | +6 | |||
| 22 octubre | +20 | |||
| 21 octubre | +9 | |||
| 20 octubre | +24 | |||
| 19 octubre | +10 | |||
| 18 octubre | +17 | |||
| 17 octubre | +13 | |||
| 16 octubre | +29 | |||
| 15 octubre | +9 | |||
| 14 octubre | +3 | |||
| 13 octubre | +29 | |||
| 12 octubre | +6 | |||
| 11 octubre | +14 | |||
| 10 octubre | +29 | |||
| 09 octubre | +25 | |||
| 08 octubre | +37 | |||
| 07 octubre | +15 | |||
| 06 octubre | +18 | |||
| 05 octubre | +10 | |||
| 04 octubre | +51 | |||
| 03 octubre | +19 | |||
| 02 octubre | +16 | |||
| 01 octubre | +18 |
rows = [[1, 2], [3], [4, 5]]
flat = [x for row in rows for x in row]
Now, you can simply use:
flat = [*row for row in rows]
# [1, 2, 3, 4, 5]
A double asterisk merges dictionaries: 📦
configs = [
{"debug": False, "timeout": 10},
{"timeout": 30},
]
config = {**part for part in configs}
# {'debug': False, 'timeout': 30}
When keys overlap, the last value wins – this is convenient for combining settings from multiple sources. ⚙️
Unpacking removes one level of nesting. In Python 3.14, this syntax within comprehensions will raise a SyntaxError. 🚫
https://peps.python.org/pep-0798/
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| 13 | Python Lists: A Quick Reference 🐍
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