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: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 40 043 subscribers, ranking 3 261 in the Technologies & Applications category and 9 774 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 40 043 subscribers.
According to the latest data from 25 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 238 over the last 30 days and by -13 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.84%. 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 1 136 views. Within the first day, a publication typically gains 450 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 26 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.
40 043
Subscribers
-1324 hours
-377 days
+23830 days
Posts Archive
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collections.Counter β counting elements in a single line. π
Counting elements without loops with Counter π
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. π
π 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)]
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**Today we will examine
__call__ β a data filter object!** π§
It allows a class instance to work as a function, preserving the state and filtering rules. βοΈ
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]f = EvenFilter(5)
nums = [1, 4, 6, 7, 10]
print(f(nums)) # [6, 10]f2 = EvenFilter(8)
print(f2(nums)) # [10]__call__ turns an object into a "smart function" with memory and customizable logic. π‘
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π₯ 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. π€
2. Crawl4AI
An open source python crawler built specifically for AI. Extracts clean, structured content optimized for LLMs. π
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. π±οΈ
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A powerful scraping framework for building fast, reliable crawlers with support for Playwright, Puppeteer, and Cheerio. β‘
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One of the most popular Python frameworks for large-scale web scraping and crawling projects. π·οΈ
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Converts PDFs, Office documents, HTML, and many other file types into clean Markdown for AI workflows. π
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A modern Python scraping library that combines speed, browser automation, and smart parsing with a simple API. π
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. π
9. AutoScraper
Automatically learns how to extract similar data from web pages by showing it just a few examples. π§
10. curl-impersonate
Makes cURL mimic real browsers like Chrome and Safari to bypass bot detection and access protected websites more reliably. π΅οΈ
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40 050
Repost from Udemy Free Coupons
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250+ Python DSA Coding Practice Test [Questions & Answers]
Python DSA Coding Interview Questions and Answers (Solution Code with Detailed Explanations) | Coding Practice Exercisesβ¦
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3 quick ways to merge dictionaries in Python π
1οΈβ£ The operator | (Python 3.9+) β 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)dict1 |= dict2
