Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

It costs millions of dollars and months of computing time to train a large language model from the ground up. You most likely never need to do it. Fine-tuning lets you adapt pre-trained language ...

Is the data publicly available? How good is the quality of the data? How difficult is it to access the data? Even if the first two answers are a clear yes, we still can’t celebrate, because the last ...

Data is a crucial part of investigative journalism: It helps journalists verify hypotheses, reveal hidden insights, follow the money, scale investigations, and add credibility to stories. The Pulitzer ...

This project is made for automatic web scraping to make scraping easy. It gets a url or the html content of a web page and a list of sample data which we want to scrape from that page. This data can ...

Web scraping tools are helpful resources when you need to gather data from various web pages. E-commerce teams often track competitor pricing this way, while marketing teams may pull contact details ...

Academic departments, research clusters and evaluators analyze author and citation data to measure research impact and to support strategic planning. We created Scholar Metrics Scraper (SMS) to ...

GMapsScraper is a fast, multi-threaded Google Maps scraper written in Python — with no API key required. It extracts business leads from Google Maps search results: name, category, rating, reviews, ...