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

Network:Machine Learning with Python India9 587 Technologies & Applications3 250...

📈 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 40 123 subscribers, ranking 3 250 in the Technologies & Applications category and 9 587 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 123 subscribers.

According to the latest data from 01 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 146 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 1.86%. Within the first 24 hours after publication, content typically collects 1.08% reactions from the total number of subscribers.
Post reach: On average, each post receives 748 views. Within the first day, a publication typically gains 435 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.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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”

Thanks to the high frequency of updates (latest data received on 02 September, 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.

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40 123

Subscribers

+924 hours

+717 days

+14630 days

748

Post views

~ 43524 hours

~ 63348 hours

1.86%

Engagement rate

~ 2

Posts per day

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Posts Archive

40 126

Topic: Python List vs Tuple — Differences and Use Cases --- Key Differences • Lists are mutable — you can change, add, or remove elements. • Tuples are immutable — once created, they cannot be changed. --- Creating Lists and Tuples

my_list = [1, 2, 3]
my_tuple = (1, 2, 3)

--- When to Use Each • Use lists when you need a collection that can change over time. • Use tuples when the collection should remain constant, providing safer and faster data handling. --- Common Tuple Uses • Returning multiple values from a function.

def get_coordinates():
    return (10, 20)

x, y = get_coordinates()

• Using as keys in dictionaries (since tuples are hashable, lists are not). --- Converting Between Lists and Tuples

list_to_tuple = tuple(my_list)
tuple_to_list = list(my_tuple)

--- Performance Considerations • Tuples are slightly faster than lists due to immutability. --- Summary • Lists: mutable, dynamic collections. • Tuples: immutable, fixed collections. • Choose based on whether data should change or stay constant. --- \#Python #Lists #Tuples #DataStructures #ProgrammingTips https://t.me/DataScience4

40 126

Topic: Python Exception Handling — Managing Errors Gracefully --- Why Handle Exceptions? • To prevent your program from crashing unexpectedly. • To provide meaningful error messages or recovery actions. --- Basic Try-Except Block

try:
    result = 10 / 0
except ZeroDivisionError:
    print("Cannot divide by zero!")

--- Catching Multiple Exceptions

try:
    x = int(input("Enter a number: "))
    result = 10 / x
except (ValueError, ZeroDivisionError) as e:
    print(f"Error occurred: {e}")

--- Using Else and Finally • else block runs if no exceptions occur. • finally block always runs, used for cleanup.

try:
    file = open("data.txt", "r")
    data = file.read()
except FileNotFoundError:
    print("File not found.")
else:
    print("File read successfully.")
finally:
    file.close()

--- Raising Exceptions • You can raise exceptions manually using raise.

def check_age(age):
    if age < 0:
        raise ValueError("Age cannot be negative.")

check_age(-1)

--- Custom Exceptions • Create your own exception classes by inheriting from Exception.

class MyError(Exception):
    pass

def do_something():
    raise MyError("Something went wrong!")

try:
    do_something()
except MyError as e:
    print(e)

--- Summary • Use try-except to catch and handle errors. • Use else and finally for additional control. • Raise exceptions to signal errors. • Define custom exceptions for specific needs. --- #Python #ExceptionHandling #Errors #Debugging #ProgrammingTips

40 126

Topic: Python Classes and Objects — Basics of Object-Oriented Programming Python supports object-oriented programming (OOP), allowing you to model real-world entities using classes and objects. --- Defining a Class

class Person:
    def __init__(self, name, age):
        self.name = name
        self.age = age

    def greet(self):
        print(f"Hello, my name is {self.name} and I am {self.age} years old.")

--- Creating Objects

person1 = Person("Alice", 30)
person1.greet()  # Output: Hello, my name is Alice and I am 30 years old.

--- Key Concepts • Class: Blueprint for creating objects. • Object: Instance of a class. • `__init__` method: Constructor that initializes object attributes. • `self` parameter: Refers to the current object instance. --- Adding Methods

class Circle:
    def __init__(self, radius):
        self.radius = radius

    def area(self):
        return 3.1416 * self.radius ** 2

circle = Circle(5)
print(circle.area())  # Output: 78.54

--- **Inheritance** • Allows a class to inherit attributes and methods from another class.

class Animal:
    def speak(self):
        print("Animal speaks")

class Dog(Animal):
    def speak(self):
        print("Woof!")

dog = Dog()
dog.speak()  # Output: Woof!

--- Summary • Classes and objects are core to Python OOP. • Use `class` keyword to define classes. • Initialize attributes with `__init__` method. • Objects are instances of classes. • Inheritance enables code reuse and polymorphism. --- #Python #OOP #Classes #Objects #ProgrammingConcepts

40 126