Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

The best parallel processing libraries for Python Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.

Python creator Guido van Rossum reveals the strengths and weaknesses of one of the world's most popular programming languages.

IIRS, under ISRO is presenting its 133rd Outreach program on “Geodata Processing using Python”, scheduled from 15th to 19th January 2024.

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right ...

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

In this article, we have explored some of the best Python libraries for Natural Language Processing. These libraries provide a wide range of functionalities, ...

The introduction of graphics processing units (GPUs) for general-purpose computing is perhaps the most important recent development for computing, and if you want to develop some new Python skills ...

Cloud data provider Snowflake Inc. today announced it’s adding support for the Python programming language favored by data scientists to its Data Cloud and tightening integration with the ...