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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
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prompt | AI Coding Glossary ✨ 📖 The input text or a structured message that tells a generative model what to do. 🏷️ #Python

vibe coding | AI Coding Glossary ✨ 📖 An AI-assisted programming style where a developer describes goals in natural language and accepts model-generated code with minimal manual editing. 🏷️ #Python

✨ How to Use Python: Your First Steps ✨ 📖 Learn how to use Python—install it, run code, and work with data types, functions,
How to Use Python: Your First Steps ✨ 📖 Learn how to use Python—install it, run code, and work with data types, functions, classes, and loops. Explore essential tools and build a solid foundation. 🏷️ #basics #python

✨ Quiz: How to Use Python: Your First Steps ✨ 📖 Review the basics of Python with this quiz. Practice syntax, keywords, varia
Quiz: How to Use Python: Your First Steps ✨ 📖 Review the basics of Python with this quiz. Practice syntax, keywords, variables, errors, and tools every beginner should know. 🏷️ #basics #python

agentic coding | AI Coding Glossary ✨ 📖 An approach to software development in which AI agents plan, write, run, and iteratively improve code. 🏷️ #Python

artificial intelligence (AI) | AI Coding Glossary ✨ 📖 The field of building machines and software that perform tasks requiring human-like intelligence. 🏷️ #Python

Repost from Tech Jobs Hub
Question: What are the differences between __eq__ and __ne__ methods in Python? eqe __eq__ and __ne__ methods are special methods used to define the behavior of the equality and inequality operators (== and !=, reseq. The __eq__ method returns True if two objects are consideredneereas __ne__ returns True if they are considereeql. If __eq__ is defined, it's common practiceneefine __ne__ to maintain consistent logic. For instance:
class MyClass:
    def __eq__(self, other):
        return True
    def __ne__(self, other):
        return False
Here, MyClass would always return True for equality and False for inequality. By: @DataScienceQ 🚀

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agent | AI Coding Glossary ✨ 📖 A system that perceives, decides, and acts toward goals, often looping over steps with tools, memory, and feedback. 🏷️ #Python

model context protocol (MCP) | AI Coding Glossary ✨ 📖 An open, client-server communication standard that lets AI applications connect to external tools and data sources. 🏷️ #Python

Reference: AI Coding Glossary ✨ 📖 Concise explanations of foundational terms and concepts for AI-assisted coding. 🏷️ #2_terms

generative pre-trained transformer (GPT) | AI Coding Glossary ✨ 📖 Autoregressive language models that use the transformer architecture and are pre-trained on large text corpora. 🏷️ #Python

large language model (LLM) | AI Coding Glossary ✨ 📖 A neural network that predicts the next token to perform general-purpose language tasks. 🏷️ #Python

Clean code tip for Python: Use a dictionary to remove duplicates from a list while preserving the order of elements. names =
Clean code tip for Python: Use a dictionary to remove duplicates from a list while preserving the order of elements.
names = ["John", "Daisy", "Bob", "Lilly", "Bob", "Daisy"]

unique_names = list({name: name for name in names}.values())

print(unique_names)
# ['John', 'Daisy', 'Bob', 'Lilly']
The point is that dictionary keys are unique, and starting from Python 3.7, the order of insertion is preserved. So this is a concise way to remove duplicates without losing order. 👉  @DataScience4