Learn Python Coding

Ir al canal en Telegram

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 597 Tecnologías y Aplicaciones3 502...

📈 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 39 131 suscriptores, ocupando la posición 3 502 en la categoría Tecnologías y Aplicaciones y el puesto 10 597 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 39 131 suscriptores.

Según los últimos datos del 05 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 458, y en las últimas 24 horas de 21, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.68%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.04% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 1 048 visualizaciones. En el primer día suele acumular 405 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
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 06 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.

39 131

Suscriptores

+2124 horas

+1207 días

+45830 días

1 048

Visitas de la publicación

~ 40524 horas

~ 51348 horas

2.68%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

39 130

⚠ Message was hidden by channel owner

39 130

There's a floating-point number in Python and you need to output it as a percentage - use the % format in the f-string

x = .023
print(f'{x:.2%}')  # 2.30%

x = .02375
print(f'{x:.2%}')  # 2.38% -- rounded off!

x = 1.02375
print(f'{x:.2%}')  # 102.38%

👉 @PythonRe

39 130

Master Python the Right Way – Without Procrastination. 🐍✨ When I first started learning Python, I quickly realized: You can't master a programming language just by reading syntax or watching tutorials. 📚🚫 Real growth happens when you practice, build, and solve problems on your own. 🛠💻 That's exactly why I've compiled a collection of Python programs – designed to take you from basics to advanced logic-building. 📈🧠 What is this collection about? 🤔 ✔️ Beginner to advanced programs with clear explanations ✔️ Pattern-based exercises to strengthen core fundamentals ✔️ Problem-solving programs that sharpen logical thinking Why is this important? 🌟 You don't just learn "how to code", you start learning "how to think like a programmer". 🧠⚡️ This is perfect for: 🎯 • Preparing for technical interviews 🤝 • Participating in coding challenges 🏆 • Building real-world Python projects 🚀

39 130

🧐 Python Cheatsheet — a convenient cheat sheet for Python that really saves time at work! The repository contains a summary of key topics: from basic syntax and data structures to working with files, environments, and OOP with classes and magic methods. Everything is presented compactly, without unnecessary theory, with examples that can be immediately applied in code. Repo: https://github.com/onyxwizard/python-cheatsheet📱 https://t.me/pythonRe 👩‍💻

39 130

codes = ["A", "B", "C"]
found = False
for code in codes:
    if code == "B":
        found = True
        break
if found:
    print("Incorrect: Code B found (less efficient).")

Brief Explanation: The in operator is optimized for membership checks, offering better performance and cleaner code than manual loops, especially for larger lists. --- 5. Avoiding Unnecessary List Conversions Description: Many functions and methods return iterators or generator objects for efficiency. Converting these directly to a list without need can waste memory and computation if you only need to process elements one by one. Correct Usage: Process iterators directly when possible, convert to list only if multiple passes or random access is needed.

squares_gen = (x*x for x in range(5)) # Generator expression
for s in squares_gen: # Process elements one by one
    print(f"Correct: {s}", end=" ") # Output: 0 1 4 9 16
print()

# If you need the full list:
squares_list = list(x*x for x in range(5))
print(f"Correct (list conversion): {squares_list}") # Output: [0, 1, 4, 9, 16]

Incorrect Usage: Unnecessarily converting iterators to lists when single-pass processing suffices.

data_stream = map(str.upper, ['apple', 'banana', 'cherry'])
# If you only need to print them once:
full_list = list(data_stream) # Unnecessary list creation
for item in full_list:
    print(f"Incorrect: {item}", end=" ") # Output: APPLE BANANA CHERRY
print()

Brief Explanation: Iterators/generators are memory-efficient for single-pass operations. Convert to list() only when random access, repeated iteration, or a material collection is strictly required. https://t.me/pythonRe 🌟

39 130

⚠ Message was hidden by channel owner

39 130

⚠ Message was hidden by channel owner

39 130

⚠ Message was hidden by channel owner

39 130

Top 10 Python One Liners! 1️⃣ Reverse a string:

reversed_string = "Hello World"[::-1]

2️⃣ Check if a number is even:

is_even = lambda x: x % 2 == 0

3️⃣ Find the factorial of a number:

factorial = lambda x: 1 if x == 0 else x * factorial(x - 1)

4️⃣ Read a file and print its contents:

[print(line.strip()) for line in open('file.txt')]

5️⃣ Create a list of squares:

squares = [x**2 for x in range(10)]

6️⃣ Flatten a list of lists:

flat_list = [item for sublist in [[1, 2], [3, 4], [5, 6]] for item in sublist]

7️⃣ Find the length of a list:

length = len([1, 2, 3, 4])

8️⃣ Create a dictionary from two lists:

keys = ['a', 'b', 'c']; values = [1, 2, 3]; dictionary = dict(zip(keys, values))

9️⃣ Generate a list of random numbers:

import random; random_numbers = [random.randint(0, 100) for _ in range(10)]

🔟 Check if a string is a palindrome:

is_palindrome = lambda s: s == s[::-1]

Mastering these one-liners can significantly improve your coding efficiency and make your code more concise. https://t.me/pythonRe ✉️

39 130

⚠ Message was hidden by channel owner

39 130

⚠ Message was hidden by channel owner

39 130

What is a Lambda Function? A lambda function is a small anonymous function defined using the lambda keyword. It's often used for short, throwaway functions that are only needed temporarily. Basic Syntax- The syntax of a lambda function is: "lambda arguments: expression" -arguments: A comma-separated list of parameters. -expression: An expression that is evaluated and returned. Examples 1️⃣ Basic Lambda Function: "add = lambda x, y: x + y print(add(2, 3)) # Output: 5 " Here, lambda x, y: x + y is a lambda function that adds two numbers. 2️⃣ Lambda with map(): "numbers = [1, 2, 3, 4, 5] squared = list(map(lambda x: x ** 2, numbers)) print(squared) # Output: [1, 4, 9, 16, 25] " map() applies the lambda function to each item in the numbers list. 3️⃣ Lambda with filter(): "numbers = [1, 2, 3, 4, 5] even = list(filter(lambda x: x % 2 == 0, numbers)) print(even) # Output: [2, 4] " filter() uses the lambda function to filter out only the even numbers. 4️⃣ Lambda with reduce(): "from functools import reduce numbers = [1, 2, 3, 4, 5] product = reduce(lambda x, y: x * y, numbers) print(product) # Output: 120 " reduce() applies the lambda function cumulatively to the items in the list. Pros and Cons- Pros: -> Concise and readable. -> Useful for small, simple functions. -> Handy for functional programming (e.g., map, filter, reduce). Cons: -> Limited to single expressions. -> Can be less readable if overused. -> Lack of function name can make debugging harder. Lambda functions are an excellent tool for any Python developer to have in their toolkit. They can help streamline your code and make your functions more elegant and efficient.

39 130

⚠ Message was hidden by channel owner

39 130

✨ Quiz: The Factory Method Pattern and Its Implementation in Python ✨ 📖 Check your grasp of the Factory Method pattern in Python: when to use it, the roles involved, and how to implement a flexible object factory. 🏷️ #intermediate #best-practices

39 130

✨ netrc | Python Standard Library ✨ 📖 Provides tools for parsing .netrc credentials files and looking up logins, accounts, and passwords by host. 🏷️ #Python

39 130

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_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

39 130

Repost from Machine Learning with Python

💡 Level Up Your IT Career in 2026 – For FREE Areas covered: #Python #AI #Cisco #PMP #Fortinet #AWS #Azure #Excel #CompTIA #ITIL #Cloud + more 🔗 Download each free resource here: • Free Courses (Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS) 👉https://bit.ly/4ejSFbz • IT Certs E-book 👉 https://bit.ly/42y8owh • IT Exams Skill Test 👉 https://bit.ly/42kp7Dv • Free AI Materials & Support Tools 👉 https://bit.ly/3QEfWek • Free Cloud Study Guide 👉https://bit.ly/4u8Zb9r 📲 Need exam help? Contact admin: wa.link/40f942 💬 Join our study group (free tips & support): https://chat.whatsapp.com/K3n7OYEXgT1CHGylN6fM5a

39 130

⚠ Message was hidden by channel owner