en
Feedback
Learn Python Coding

Learn Python Coding

Open in 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

Show more

πŸ“ˆ Analytical overview of Telegram channel Learn Python Coding

Channel Learn Python Coding (@pythonre) in the English language segment is an active participant. Currently, the community unites 40 101 subscribers, ranking 3 241 in the Technologies & Applications category and 9 590 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 40 101 subscribers.

According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 114 over the last 30 days and by -8 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.75%. Within the first 24 hours after publication, content typically collects 1.09% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 103 views. Within the first day, a publication typically gains 438 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn 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”

Thanks to the high frequency of updates (latest data received on 30 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

Buy Ad
40 101
Subscribers
-824 hours
-517 days
+11430 days
Posts Archive
✨ Topic: Python Basics ✨ πŸ“– Begin your Python journey with these beginner-friendly tutorials. Learn fundamental Python concep
✨ Topic: Python Basics ✨ πŸ“– Begin your Python journey with these beginner-friendly tutorials. Learn fundamental Python concepts to kickstart your career. This foundation will equip you with the necessary skills to further advance your budding Python programming skills. 🏷️ #357_resources

✨ Editorial Guidelines ✨ πŸ“– See how Real Python's editorial guidelines shape comprehensive, up-to-date resources, with Python
✨ Editorial Guidelines ✨ πŸ“– See how Real Python's editorial guidelines shape comprehensive, up-to-date resources, with Python experts, educators, and editors refining all learning content. 🏷️ #Python

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

Python tip: Use f-strings for easy and readable string formatting.
name = "Alice"
age = 30
message = f"Hello, my name is {name} and I am {age} years old."
print(message)
Python tip: Utilize list comprehensions for concise and efficient list creation.
numbers = [1, 2, 3, 4, 5]
squares = [x * x for x in numbers if x % 2 == 0]
print(squares)
Python tip: Use enumerate() to iterate over a sequence while also getting the index of each item.
fruits = ["apple", "banana", "cherry"]
for index, fruit in enumerate(fruits):
    print(f"{index}: {fruit}")
Python tip: Use zip() to iterate over multiple iterables in parallel.
names = ["Alice", "Bob"]
ages = [25, 30]
for name, age in zip(names, ages):
    print(f"{name} is {age} years old.")
Python tip: Always use the with statement when working with files to ensure they are properly closed, even if errors occur.
with open("example.txt", "w") as f:
    f.write("Hello, world!\n")
    f.write("This is a test.")
# File is automatically closed here
Python tip: Use *args to allow a function to accept a variable number of positional arguments.
def sum_all(*args):
    total = 0
    for num in args:
        total += num
    return total

print(sum_all(1, 2, 3))
print(sum_all(10, 20, 30, 40))
Python tip: Use **kwargs to allow a function to accept a variable number of keyword arguments (as a dictionary).
def display_info(**kwargs):
    for key, value in kwargs.items():
        print(f"{key}: {value}")

display_info(name="Bob", age=40, city="New York")
Python tip: Employ defaultdict from the collections module to simplify handling missing keys in dictionaries by providing a default factory.
from collections import defaultdict

data = [("fruit", "apple"), ("vegetable", "carrot"), ("fruit", "banana")]
categorized = defaultdict(list)
for category, item in data:
    categorized[category].append(item)
print(categorized)
Python tip: Use if __name__ == "__main__": to define code that only runs when the script is executed directly, not when imported as a module.
def greet(name):
    return f"Hello, {name}!"

if __name__ == "__main__":
    print("Running directly as a script.")
    print(greet("World"))
else:
    print("This module was imported.")
Python tip: Apply type hints to your code for improved readability, maintainability, and to enable static analysis tools.
def add(a: int, b: int) -> int:
    return a + b

result: int = add(5, 3)
print(result)
#PythonTips #PythonProgramming #PythonForBeginners #PythonTricks #CodeQuality #Pythonic #BestPractices #LearnPython ━━━━━━━━━━━━━━━ By: @DataScience4 ✨

Python Interview Codes Cheatsheet https://t.me/CodeProgrammer

😰 80 pages with problems, solutions, and code from a Python developer interview, ranging from simple to complex ⬇️ Save the
😰 80 pages with problems, solutions, and code from a Python developer interview, ranging from simple to complex ⬇️ Save the PDF, it will come in handy! #python #job

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

✨ How to Properly Indent Python Code ✨ πŸ“– Learn how to properly indent Python code in IDEs, Python-aware editors, and plain t
✨ How to Properly Indent Python Code ✨ πŸ“– Learn how to properly indent Python code in IDEs, Python-aware editors, and plain text editorsβ€”plus explore PEP 8 formatters like Black and Ruff. 🏷️ #basics #best-practices #python

Channel owners rise up! "I want to monetize my telegram channel". It is definitely possible! Check our website, register your channel today! Our community homeπŸ‘‡ https://t.me/waybien Sponsored By WaybienAds

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

❔ Interview Question What is the potential pitfall of using a mutable object (like a list or dictionary) as a default argument in a Python function? Answer: A common pitfall is that the default argument is evaluated only once, when the function is defined, not each time it is called. If that default object is mutable, any modifications made to it in one call will persist and be visible in subsequent calls. This can lead to unexpected and buggy behavior. Incorrect Example (The Pitfall):
def add_to_list(item, my_list=[]):
    my_list.append(item)
    return my_list

# First call seems to work fine
print(add_to_list(1))  # Output: [1]

# Second call has unexpected behavior
print(add_to_list(2))  # Output: [1, 2] -- The list from the first call was reused!

# Third call continues the trend
print(add_to_list(3))  # Output: [1, 2, 3]
The Correct, Idiomatic Solution: The standard practice is to use None as the default and create a new mutable object inside the function if one isn't provided.
def add_to_list_safe(item, my_list=None):
    if my_list is None:
        my_list = []  # Create a new list for each call
    my_list.append(item)
    return my_list

# Each call now works independently
print(add_to_list_safe(1))  # Output: [1]
print(add_to_list_safe(2))  # Output: [2]
print(add_to_list_safe(3))  # Output: [3]
tags: #Python #Interview #CodingInterview #PythonTips #Developer #SoftwareEngineering #TechInterview ━━━━━━━━━━━━━━━ By: @DataScience4 ✨