How to create your own context manager in Python?

There are two main ways: to create a class with methods enter() and exit(), or to use the decorator @contextmanager from the module contextlib. The second option is usually more compact and is based on generators.

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Do you know that Python allows you to get all the object's attributes with one function without additional code? 🐍

When you need to quickly check the state of an object, many manually access the attributes or dig into __dict__.

But for this, Python already has a built-in function vars().

vars(obj)

It returns a dictionary of all the object's attributes, including the current state of the instance.

{'x': 10}

This is useful for debugging, logging, serialization, ORM, and analyzing the runtime state of objects.

print(vars(user))

Also, vars() works with modules, classes, and any objects with dict.


vars(module)


🔥 vars()` — a rather underrated tool for quickly analyzing the state of objects during execution.

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Python there is a small convenience that not everyone knows about: in startswith and endswith you can pass an tuple of values directly

This allows you to check multiple options with one call, without long conditions and unnecessary code

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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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🔥 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. 🕵️

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