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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Network:📈 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 40 657 subscribers, ranking 3 225 in the Technologies & Applications category and 9 421 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 657 subscribers.
According to the latest data from 05 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 458 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 5.17%. Within the first 24 hours after publication, content typically collects 0.92% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 100 views. Within the first day, a publication typically gains 375 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
- 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 06 October, 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.
40 657
Subscribers
+824 hours
+1297 days
+45830 days
Posts Archive
40 668
Repost from Machine Learning with Python
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40 668
Repost from Udemy Free
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#Python #DataScience #Automation #FreeCourse #Udemy #OnlineLearning40 668
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
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40 668
👩💻 heapq.merge(): Combining sorted data!
If you have multiple sources of data that are already sorted, you don't need to collect them into a single collection and sort them again.
heapq.merge() combines such sources into a single, ordered iterator.
In this guide:
• We will combine multiple sorted sequences;
• We will explore lazy processing of large data sources;
• We will configure comparison using the key argument;
• We will combine data sorted in reverse order.
This is especially useful when working with logs, files, and query results, where each source already provides data in the correct order.
#Python #heapq #DataProcessing #CodingTips #Programming #Algorithms
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Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
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40 668
📌 Marking Deprecated Code in Python: deprecated()
In large projects, old functions are not always immediately removed. They are often left for compatibility, but it's important to warn developers that they should no longer be used.
Previously,
warnings.warn()was often used for this purpose:
import warnings
def old_api():
warnings.warn(
"Use new_api()",
DeprecationWarning
)deprecated()decorator has been introduced:
from warnings import deprecated
@deprecated("Use new_api()")
def old_api():
return "old"@deprecated("Use NewClient")
class OldClient:
pass
40 668
Do not violate the Single Responsibility Principle 🎯
A function should do one thing, and do it well.
This function does too much:
def calculate_final_total(
price: float,
quantity: int,
discount_rate: float,
tax_rate: float
) -> float:
# Calculate the subtotal
subtotal = price * quantity
# Apply the discount
discounted_amount = subtotal * (1 - discount_rate)
# Calculate the tax
final_total = discounted_amount * (1 + tax_rate)
return final_totaldef calculate_subtotal(price: float, quantity: int) -> float:
return price * quantity
def apply_discount(subtotal: float, discount: float) -> float:
return subtotal * (1 - discount)
def calculate_tax(amount: float, tax_rate: float) -> float:
return amount * (1 + tax_rate)40 668
Here's a small fact about Python 🐍
The
:= operator is called the "walrus" because the symbols resemble the eyes and tusks of a walrus 🦭
It was introduced in Python 3.8 and allows you to assign a value to a variable and use it directly within the expression at the same time.
For example:
while (line := input("Say something: ")) != "quit":
print(f"You said: {line}")input(), and then check it.
Have you ever used the := operator in your code?
#Python #Programming #WalrusOperator #Coding #TechFacts #Python3
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40 668
Repost from Machine Learning with Python
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40 668
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40 668
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