It, too, is a library for distributed parallel computing in Python, with a built-in task scheduling system, awareness of Python data frameworks like NumPy, and the ability to scale from one ...

The library is built to be as minimalist as possible with modularity as a design principle, and includes the ability to self-drive with computer vision using machine-learning algorithms.

Chainguard, the secure foundation for software development and deployment, today announced Chainguard Libraries for Python, an index of malware-resistant Python dependencies built securely from ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

Python is one of the most approachable languages to learn, thanks to its object-oriented-first approach and its minimal ...

Google has released a "major update" to the Google Cloud Python logging library for monitoring and troubleshooting Python-based containerized apps in the cloud and its serverless environments.

Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...

But with Python libraries, data solutions can be built much faster and with more reliability. SciKit-Learn, for example, has built-in algorithms for classification, regression, clustering, and ...

What does it take to build a quantum computer? Lots of exotic supercooled hardware. However, creating a simulator isn’t nearly as hard and can give you a lot of insight into how this kind of … ...