In this article, I’m going to go over the basics building blocks of
jqin enough depth that you will be able to understand howjqworks.
Source: JQ Select Explained: Selecting elements from JSON with Examples, an article by Adam Gordon Bell.
Wondering how to build a website crawler and parser at scale? Implement a project to crawl, scrape, extract content, and store it at scale in a distributed and fault-tolerant manner. We will take all the knowledge from previous posts and combine it.
Source: Mastering Web Scraping in Python: Scaling to Distributed Crawling, an article by Ander Rodríguez.
This post is an account of why I prefer using the attrs library over Pydantic. I'm writing it since I am often asked this question and I want to have something concrete to link to. This is not meant to be an objective comparison of attrs and Pydantic; I'm not interested in comparing bullet points of features, nor can I be unbiased since I'm a major contributor to attrs (at time of writing, second by commit count, after Hynek) and the author of one of its unofficial companion libraries, cattrs.
Source: Why I use attrs instead of pydantic.
In this guide, we'll be using borb - a Python library dedicated to reading, manipulating and generating PDF documents. It offers both a low-level model (allowing you access to the exact coordinates and layout if you choose to use those) and a high-level model (where you can delegate the precise calculations of margins, positions, etc to a layout manager).
We'll take a look at how to create a PDF invoice in Python using borb.
Source: Creating PDF Invoices in Python with borb, an article by Joris Schellekens.