Database drivers are software components that enable Python web development libraries to communicate with different types of databases, such as MySQL, PostgreSQL, SQLite, MongoDB, and more.

The answer is Python and its bunch of libraries. Future is all about playing with the data, therefore, most companies acknowledge the integral role that data will be playing in driving business ...

Web apps, web crawling, database access, GUI creation, parsing, image processing, ... Here are 24 Python libraries you may have overlooked but are definitely worth your attention.

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

Closing out our list of 10 best Python libraries for data science is BeautifulSoup, which is most often used for web crawling and data scraping. With BeautifulSoup, users can collect data that’s ...

Matplotlib integrates seamlessly with other Python data science libraries like NumPy, scikit-learn, and pandas. Features: Supports 2D plotting, including line charts, scatter plots, bar charts, ...

This repository serves as a curated database of Python libraries for professional engineers, specifically focusing on Civil, Structural, Geotechnical, Hydrotechnical, Mechanical, and Electrical ...