Learn Python Coding

Открыть в Telegram

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

Больше

Сеть:Machine Learning with Python Индия9 774 Технологии и приложения3 261...

📈 Аналитический обзор Telegram-канала Learn Python Coding

Канал Learn Python Coding (@pythonre) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 043 подписчиков, занимая 3 261 место в категории Технологии и приложения и 9 774 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 043 подписчиков.

Согласно последним данным от 25 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 238, а за последние 24 часа — -13, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.84%. В первые 24 часа после публикации контент обычно набирает 1.12% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 1 136 просмотров. В течение первых суток публикация набирает 450 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как math, harvard, oxford, supervision, waybienad.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“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”

Благодаря высокой частоте обновлений (последние данные получены 26 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

Buy Ad

40 043

Подписчики

-1324 часа

-377 дней

+23830 день

1 136

Просмотры поста

~ 45024 часа

~ 63948 часов

2.84%

Коэффициент вовлеченности

~ 2

Постов в день

Ads index

beta

Архив постов

40 050

⚠ Message was hidden by channel owner

40 050

collections.Counter — counting elements in a single line. 📊 Counting elements without loops with Counter 🔄 Do you need to count how many times each word appears in a text or how many duplicates there are in a list? Don't reinvent the wheel with for loops and dictionaries. The built-in collections module will do everything for you. 🚀 🛠 Code:

from collections import Counter

words = ["apple", "banana", "apple", "cherry", "banana", "apple"]
word_counts = Counter(words)

print(word_counts)
# Output: Counter({'apple': 3, 'banana': 2, 'cherry': 1})

# Bonus: the top 2 most frequent elements
print(word_counts.most_common(2))
# Output: [('apple', 3), ('banana', 2)]

Ideal for basic data analysis and solving tasks on LeetCode. 💻 ✨ 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 #Python #DataScience #Coding #Programming #LearnToCode #TechSkills

40 050

⚠ Message was hidden by channel owner

40 050

Repost from Udemy Free Coupons

⚠ Message was hidden by channel owner

40 050

⚠ Message was hidden by channel owner

40 050

**Today we will examine __call__ — a data filter object!** 🧠 It allows a class instance to work as a function, preserving the state and filtering rules. ⚙️ Let's create a filter for numbers that only passes even ones and strictly greater than a specified threshold:

class EvenFilter:
    def __init__(self, threshold):
        self.threshold = threshold

    def __call__(self, numbers):
        return [n for n in numbers if n % 2 == 0 and n > self.threshold]

Let's use the filter in practice:

f = EvenFilter(5)
nums = [1, 4, 6, 7, 10]
print(f(nums))  # [6, 10]

Now each instance can have its own rules:

f2 = EvenFilter(8)
print(f2(nums))  # [10]

🔥 So, __call__ turns an object into a "smart function" with memory and customizable logic. 💡 #Python #DataScience #Programming #Coding #Tech #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

40 050

🔥 10 GitHub Repositories to Scrape Almost Any Website 1. Firecrawl Turns entire websites into clean, AI-ready Markdown or structured data with just a few API calls. Perfect for feeding LLMs. 🤖 2. Crawl4AI An open source python crawler built specifically for AI. Extracts clean, structured content optimized for LLMs. 🐍 3. Browser Use AI Agent that control browsers like a human. It allows an AI agent to dynamically visually navigate, click elements, bypass popups, and extract data. 🖱️ 4. Crawlee A powerful scraping framework for building fast, reliable crawlers with support for Playwright, Puppeteer, and Cheerio. ⚡ 5. Scrapy One of the most popular Python frameworks for large-scale web scraping and crawling projects. 🕷️ 6. MarkItDown Converts PDFs, Office documents, HTML, and many other file types into clean Markdown for AI workflows. 📄 7. Scrapling A modern Python scraping library that combines speed, browser automation, and smart parsing with a simple API. 🚀 8. Skyvern An AI-powered scraping tool that dynamically solve CAPTCHAs, log into complex portals, and extract data without requiring any pre-defined HTML selectors or XPaths. 🔓 9. AutoScraper Automatically learns how to extract similar data from web pages by showing it just a few examples. 🧠 10. curl-impersonate Makes cURL mimic real browsers like Chrome and Safari to bypass bot detection and access protected websites more reliably. 🕵️ 💡 Save this list for your next web scraping or AI automation project. #WebScraping #AI #GitHub #Python #Automation #LLM ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

40 050

⚠ Message was hidden by channel owner

40 050

⚠ Message was hidden by channel owner

40 050

Code smarter, not costlier. 🚀 Get powerful AI coding agents, seamless OpenAI-compatible APIs, and more value for every dollar. Build faster, automate more, and let AI work directly with your code. Join now and start creating without limits.

40 050

🔥 Free IT Cert Resources – Grab Them While They're Hot! 🌈SPOTO just dropped a bunch of 100% free study kits for 2026 – covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity 💥No signup traps, no hidden fees – just click and download. 📘 FREE Cert E‑Book → https://bit.ly/4wkiLAT 🪜 Online FREE Course → https://bit.ly/4vHFJSz ☁️ FREE AI Materials → https://bit.ly/4wdu7X6 📊 Cloud Study Guide → https://bit.ly/4y0HyeW 🧠 Free Mock Exam → https://bit.ly/4ff8jos Tag a friend who's also on this journey – Get certified together! 💪 🌐 Join the community: https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d/ 📲 Need personalized help? → https://wa.link/6k7042

40 050

⚠ Message was hidden by channel owner

40 050

Repost from Udemy Free Coupons

250+ Python DSA Coding Practice Test [Questions & Answers] Python DSA Coding Interview Questions and Answers (Solution Code with Detailed Explanations) | Coding Practice Exercises… 🏷 Category: development 🌍 Language: English (US) 👥 Students: 110 students ⭐️ Rating: 0.0/5.0 (0 reviews) 🏃‍♂️ Enrollments Left: 5 ⏳ Expires In: 0D:30H:30M 💰 Price: ~~$23.03~~ ⟹ FREE 🆔 Coupon: 731B3C9353AE09ABE19E ⚠️ Watch 2 short ads to unlock your free access. 💎 By: https://t.me/Udemy26 #Programming #Coding #Development #Tech #Python #DataScience

40 050

⚠ Message was hidden by channel owner

40 050

3 quick ways to merge dictionaries in Python 🐍 1️⃣ The operator | (Python 3.9+) — the most modern and elegant way. Creates a new dictionary.

dict1 = {'a': 1, 'b': 2}
dict2 = {'b': 99, 'c': 4}

combined = dict1 | dict2
# Result: {'a': 1, 'b': 99, 'c': 4} (values of the second dictionary replace the first)

2️⃣ The in-place update operator |= (Python 3.9+) — if you need to modify the first dictionary in place.

dict1 |= dict2

#Python #Coding #DevOps #Programming #Tech #DataScience ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

40 050

⚠ Message was hidden by channel owner