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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 39 140 suscriptores, ocupando la posición 3 511 en la categoría Tecnologías y Aplicaciones y el puesto 10 551 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 39 140 suscriptores.

Según los últimos datos del 07 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 433, y en las últimas 24 horas de 10, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.62%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.01% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 026 visualizaciones. En el primer día suele acumular 395 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 08 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.

39 140
Suscriptores
+1024 horas
+887 días
+43330 días
Archivo de publicaciones
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Notepad++ | Code Editors & IDEs ✨ 📖 A free, open-source text and source code editor for Windows. 🏷️ #Python

Thonny | Code Editors & IDEs ✨ 📖 A free, open-source integrated development environment (IDE) for Python that focuses on simplicity. 🏷️ #Python

Bandit | Python Tools ✨ 📖 A static analysis tool that scans Python code to detect common security issues. 🏷️ #Python

Automatic translator in Python! We translate a text in a few lines using deep-translator. It supports dozens of languages: from English and Russian to Japanese and Arabic. Install the library:
pip install deep-translator
Example of use:
from deep_translator import GoogleTranslator

text = "Hello, how are you?"
result = GoogleTranslator(source="ru", target="en").translate(text)

print("Original:", text)
print("Translation:", result)
Mass translation of a list:
texts = ["Hello", "What's your name?", "See you later"]
for t in texts:
    print("→", GoogleTranslator(source="ru", target="es").translate(t))
🔥 We get a mini-Google Translate right in Python: you can embed it in a chatbot, use it in notes, or automate work with the API. 🚪 @DataScience4

✨ How to Build a Personal Python Learning Roadmap ✨ 📖 Learn how to create a personalized Python learning roadmap. Set goals,
How to Build a Personal Python Learning Roadmap ✨ 📖 Learn how to create a personalized Python learning roadmap. Set goals, choose resources, and build a plan to track your progress and stay motivated. 🏷️ #basics #best-practices

Reference: Code Editors & IDEs ✨ 📖 Popular code editors and IDEs that help you write, run, and debug Python code. 🏷️ #2_terms

Visual Studio Code | Code Editors & IDEs ✨ 📖 A free, cross-platform source code editor. 🏷️ #Python

PyCharm | Code Editors & IDEs ✨ 📖 An integrated development environment (IDE) focused on Python. 🏷️ #Python

py-spy | Python Tools ✨ 📖 A sampling profiler for Python. 🏷️ #Python

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0https://t.me/Codeprogrammer

Repost from ADMINOTEKA
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✨ Join the Real Python Community Chat ✨ 📖 Join the Real Python Community Chat and meet the Real Python Team and other Python
Join the Real Python Community Chat ✨ 📖 Join the Real Python Community Chat and meet the Real Python Team and other Pythonistas looking to improve their skills. Discuss your coding and career questions, celebrate your progress, vote on upcoming tutorial topics, or just hang out with us at this virtual water cooler. 🏷️ #Python

✨ The Real Python Newsletter ✨ 📖 Join the Real Python newsletter and get free weekly Python tips, delivered directly to your
The Real Python Newsletter ✨ 📖 Join the Real Python newsletter and get free weekly Python tips, delivered directly to your inbox. 🏷️ #Python

✨ Improve Your Python With Python Tricks ✨ 📖 Get a short & sweet Python Trick delivered directly to your inbox every couple
Improve Your Python With Python Tricks ✨ 📖 Get a short & sweet Python Trick delivered directly to your inbox every couple of days. 🏷️ #Python

✨ Learn From 2025's Most Popular Python Tutorials and Courses ✨ 📖 Pick from the best Python tutorials and courses of 2025. R
Learn From 2025's Most Popular Python Tutorials and Courses ✨ 📖 Pick from the best Python tutorials and courses of 2025. Revisit core skills, 3.14 updates, AI coding tools, and project walkthroughs. Kickstart your 2026! 🏷️ #basics #community #news

line_profiler | Python Tools ✨ 📖 A line-by-line performance profiler for Python. 🏷️ #Python

Kiro | AI Coding Tools ✨ 📖 An agentic IDE that organizes AI-assisted coding around spec-driven development. 🏷️ #Python

✨ LlamaIndex in Python: A RAG Guide With Examples ✨ 📖 Learn how to set up LlamaIndex, choose an LLM, load your data, build a
LlamaIndex in Python: A RAG Guide With Examples ✨ 📖 Learn how to set up LlamaIndex, choose an LLM, load your data, build and persist an index, and run queries to get grounded, reliable answers with examples. 🏷️ #intermediate #ai

1. Which feature allows a function to remember values between calls without using global variables? A. Closures B. Decorators
1. Which feature allows a function to remember values between calls without using global variables? A. Closures B. Decorators C. Generators D. Context managers Correct answer: A. 2. What is the primary purpose of a decorator in Python? A. Modify class inheritance B. Change function behavior without altering its code C. Improve execution speed D. Handle exceptions automatically Correct answer: B. 3. Which statement about Python generators is true? A. They store all values in memory B. They use return to yield multiple values C. They produce values lazily using yield D. They cannot be iterated over Correct answer: C. 4. What does the __slots__ attribute primarily optimize? A. Method resolution order B. Attribute access speed and memory usage C. Garbage collection D. Inheritance depth Correct answer: B. 5. Which data structure guarantees insertion order preservation as of Python 3.7? A. set B. tuple C. dict D. frozenset Correct answer: C. 6. What is the main advantage of using collections.defaultdict? A. Faster sorting B. Automatic key initialization C. Reduced memory footprint D. Immutable values Correct answer: B. 7. Which statement about list comprehensions is correct? A. They always execute faster than loops B. They cannot contain conditions C. They create lists eagerly D. They are equivalent to generators Correct answer: C. 8. What does the * operator do in function parameters? A. Forces keyword-only arguments B. Captures extra positional arguments C. Unpacks dictionaries D. Captures extra keyword arguments Correct answer: B. 9. What is the role of **kwargs in a function definition? A. Enforce positional arguments B. Capture extra keyword arguments C. Define default values D. Improve performance Correct answer: B. 10. Which protocol enables objects to be used in for loops? A. Context manager protocol B. Descriptor protocol C. Iterator protocol D. Numeric protocol Correct answer: C. 11. What must an object implement to be an iterator? A. __iter__ only B. __next__ only C. Both __iter__ and __next__ D. __getitem__ Correct answer: C. 12. What is the primary use of context managers? A. Memory allocation B. Automatic resource management C. Error suppression D. Parallel execution Correct answer: B. 13. Which keyword is used to define a context manager without a class? A. with B. manage C. using D. yield Correct answer: D. 14. What problem does the Global Interpreter Lock (GIL) primarily affect? A. File I/O performance B. Network latency C. CPU-bound multithreaded code D. Memory leaks Correct answer: C. 15. Which module is commonly used for parallelism that bypasses the GIL? A. threading B. asyncio C. multiprocessing D. concurrent.futures.thread Correct answer: C. 16. What distinguishes asyncio from threading? A. It uses OS-level threads B. It is based on cooperative multitasking C. It bypasses the GIL D. It is suitable only for CPU-bound tasks Correct answer: B. 17. What does the await keyword do? A. Blocks the entire program B. Pauses execution until a coroutine completes C. Starts a new thread D. Forces synchronous execution Correct answer: B. 18. Which operation is typically CPU-bound? A. Reading a file B. Waiting for a network response C. Parsing a large dataset D. Sleeping for one second Correct answer: C. 19. What is the main benefit of using functools.lru_cache? A. Improves recursion depth B. Memoizes function results C. Reduces function arguments D. Enables parallel execution Correct answer: B. 20. Which statement about Python exceptions is correct? A. They always terminate the program B. They cannot be nested C. They propagate up the call stack if unhandled D. They are only for runtime errors Correct answer: C.