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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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)]

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**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]

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🔥 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

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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.

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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

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