Learn Python Coding
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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Network:π 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 40 111 subscribers, ranking 3 236 in the Technologies & Applications category and 9 568 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 40 111 subscribers.
According to the latest data from 30 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 151 over the last 30 days and by 53 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.36%. 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 946 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn 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_Sheikhoβ
Thanks to the high frequency of updates (latest data received on 31 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.
def filter_even_numbers(numbers):
return [num for num in numbers if num % 2 == 0]
my_numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
print(filter_even_numbers(my_numbers))[2, 4, 6, 8, 10]#97. Explain what
* does when unpacking a list or tuple.
A: The * operator can be used to unpack an iterable into individual elements. It's often used for function arguments or in assignments.
numbers = [1, 2, 3, 4, 5]
first, *middle, last = numbers
print(f"First: {first}")
print(f"Middle: {middle}")
print(f"Last: {last}")First: 1 Middle: [2, 3, 4] Last: 5#98. Write a function to merge two sorted lists into a single sorted list. A: You can simply concatenate them and sort, but a more efficient approach (O(n+m)) is to iterate through both lists simultaneously.
def merge_sorted_lists(list1, list2):
# The simple, Pythonic way
return sorted(list1 + list2)
l1 = [1, 3, 5]
l2 = [2, 4, 6]
print(merge_sorted_lists(l1, l2))[1, 2, 3, 4, 5, 6]#99. What will be the output of the following code? A: This question tests understanding of mutable default arguments.
def my_func(item, my_list=[]):
my_list.append(item)
return my_list
print(my_func(1))
print(my_func(2))
print(my_func(3))[1] [1, 2] [1, 2, 3]The default list is created only once when the function is defined. It is then shared across all subsequent calls, leading to this surprising behavior. The correct way is to use
my_list=None as the default.
#100. How would you count the occurrences of each word in a given text sentence?
A: The collections.Counter is the ideal tool for this task.
from collections import Counter
import re
sentence = "The quick brown fox jumps over the lazy dog dog"
# Pre-process: lowercase and split into words
words = re.findall(r'\w+', sentence.lower())
word_counts = Counter(words)
print(word_counts)Counter({'the': 2, 'dog': 2, 'quick': 1, 'brown': 1, 'fox': 1, 'jumps': 1, 'over': 1, 'lazy': 1})
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By: @DataScience4 β¨