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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 354 Technologies & Applications3 286...

📈 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 40 888 subscribers, ranking 3 286 in the Technologies & Applications category and 9 354 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 888 subscribers.

According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 455 over the last 30 days and by 5 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.66%. Within the first 24 hours after publication, content typically collects 1.51% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 496 views. Within the first day, a publication typically gains 619 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 27 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.

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40 888

Subscribers

+524 hours

+247 days

+45530 days

1 496

Post views

~ 61924 hours

~ 95248 hours

3.66%

Engagement rate

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Posts per day

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📂 Reminder on Python set — set methods! For example, add() adds an element to the set, update() combines several elements, and intersection() helps quickly find common values between data sets. In the picture — the main methods and operations for working with set: addition, removal, union, intersection, difference, and set checks. Save it to not lose it! #Python #SetMethods #Coding #DataScience #Programming #HelloEncyclo ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

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Repost from Machine Learning with Python

🎁 SPOTO Mid-Year Sale – Grab Your IT Certification Success Kit! 🔥 Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification – SPOTO has your back with real exam dumps and hands-on training! ✅ Free Resources: ・Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk ・IT Certs E-book: https://bit.ly/49ub0zq ・IT Exams Skill Test: https://bit.ly/4dVPapB ・Free AI material and support tools: https://bit.ly/4elzcpl ・Free Cloud Study Guide: https://bit.ly/4u7sdG0 🎁 Join SPOTO Mid-Year Lucky Draw: 📱 iPhone 17 🛒 Free Order 🛒 Amazon Gift $100 📘PMP/ AWS/ CCNA Course 👉 Enter the Draw Now → https://bit.ly/4uN3lVt 👉 Join Our IT Learning Community for free resources & support: https://chat.whatsapp.com/FQOG04r9xSiIa2ElhaNUJU 💬 Want exam help? Chat with an admin now: https://wa.link/knicza ⏰ Mid-Year Deal Ends Soon – Don't Miss Out!

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Python can make a dictionary immutable without copying data! Usually, to protect configurations and the overall state, a copy of the dictionary is made, which creates unnecessary memory allocations.

safe = dict(config)

MappingProxyType creates a read-only proxy over a dictionary — writing through it becomes impossible, but the data is not copied.

readonly["debug"] = True  # TypeError

At the same time, the proxy remains alive: if the original dictionary changes, the changes will automatically be reflected in the read-only view.

config["debug"] = True

This is especially useful for configurations, internal APIs, overall state, and data protection within libraries.

def get_settings():
    return MappingProxyType(settings)

🔥 MappingProxyType allows you to provide a read-only view of the dictionary without copying and without the risk of mutation through the returned object. #Python #Immutable #DataProtection #MappingProxyType #ProgrammingTips #NoCopy ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

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Smart counting of elements using collections.Counter 📊

from collections import Counter

# Initial list with duplicate elements
logs = ["error", "info", "error", "warning", "error", "info"]

# 1. Instantly count the number of occurrences
count_dict = Counter(logs)
print(count_dict)  # Counter({'error': 3, 'info': 2, 'warning': 1})

# 2. Get the most frequent elements (Top-2)
print(count_dict.most_common(2))  # [('error', 3), ('info', 2)]

# 3. Set math for counters
clicks_day1 = Counter(item=4, banner=2)
clicks_day2 = Counter(item=1, banner=5)
# Combine the results of two days in a single operation
print(clicks_day1 + clicks_day2)  # Counter({'banner': 7, 'item': 5})

Forget about manual loops and dictionaries 🚫🔄 When you need to count the frequency of words in a text, the distribution of log types, or popular products in a store, developers usually create an empty dictionary and write a loop with a check if key not in dict: dict[key] = 1. The Counter class takes all this dirty work on itself and makes it as efficient as possible. — Automatic initialization: You no longer need to check if a key exists in the dictionary. If the element is not there, Counter will not throw a KeyError, but simply return 0. 🛡️ — Finding leaders without sorting: The most_common(k) method returns a list of the k most frequently occurring elements. Under the hood, Python uses optimized heap algorithms, which work much faster than a full dictionary sort via sorted(). 🏆 — Mathematical operations: You can add, subtract, intersect, and merge Counter objects. This turns them into a powerful tool for aggregating metrics and analytics from different data sources in a few lines of code. ➕➖ #Python #DataScience #Coding #Programming #Automation #DevOps ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

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