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:📈 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 40 060 subscribers, ranking 3 238 in the Technologies & Applications category and 9 700 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 060 subscribers.
According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 182 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.93%. Within the first 24 hours after publication, content typically collects 1.12% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 172 views. Within the first day, a publication typically gains 447 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- 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 28 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.
if type(x) == str:
print("This is a string")isinstance(). It takes into account inheritance and is more consistent with polymorphism.
if isinstance(x, str):
print("This is a string")type(x) == str is only suitable for simple cases, but it's fragile. isinstance(x, str) is a more stable and correct option almost always.
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%
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).")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]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()list() only when random access, repeated iteration, or a material collection is strictly required.
https://t.me/pythonRe 🌟
