Python

TL;DR: Web Framework Recommendation for Performance and Ease of coding in 2023. Golang and Express excel in high-performance scenarios, while Laravel, Lumen, and Django prioritise developer experience and feature completeness Choosing the right web framework for your project is a critical decision that can significantly impact the success of your project. Developers have a plethora of options available, each with its own set of advantages and trade-offs. In this benchmark comparison, we’ll evaluate five popular web frameworks: Golang Fiber, Node....

If you need to extract metadata such as title, description, keywords, Open Graph tags, canonical URL, and Twitter Card information from an HTML page, Python makes this easy using requests and BeautifulSoup. Install Required Packages Install the required Python packages: pip install requests beautifulsoup4 Basic HTML Metadata Scraper Create a Python file named metadata.py: import requests from bs4 import BeautifulSoup url = "https://example.com" response = requests.get( url, headers={ "User-Agent": "Mozilla/5.0" }, timeout=10 ) response....

from PIL import Image import shutil import os, sys basewidth = 1600 def compress(filename, destfilename, quality_num, cropsize = (), whitebg = False): # Make PNG Background White if whitebg: fill_color = (255,255,255) im = Image.open(filename) im = im.convert('RGBA') background = Image.new(im.mode[:-1], im.size, fill_color) background.paste(im, im.split()[-1]) # omit transparency original = background else: original = Image.open(filename) # Check PNG Images with no Trasperant Data if filename.endswith(".png"): original = original.convert('RGBA') datas = original....