Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Python offers a wide range of image processing libraries that help developers manipulate, analyze, and understand images for various applications, including machine learning, computer vision, and ...

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

In this video from PyCon SG 2015, Anand S. presents: Faster Data Processing in Python. This talk covers methods to process and analyze visualize data faster in Python. The primary focus is on the ...

His research group, led by Ph.D. student Orian Leitersdorf in collaboration with researcher Ronny Ronen, has developed PyPIM (Python Processing-in-Memory), a platform that integrates in-memory ...

In addition, Snowflake is adding support for Anaconda, a distribution of Python for scientific computing that is intended to simplify package management and deployment.

On Friday, Google debuted a new product developed with OpenMined that allows any Python developer to process data with differential privacy.. The two have been working on the project for a year ...

This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in ...

Python is one of the most popular programming languages for Natural Language Processing (NLP) tasks. With its vast collection of libraries, Python offers a wide range of tools for NLP.