Until now, high-level languages such as Python are not optimized for this type of computation. In fact, media, tabular, and semi-structured data processing each use different programming ...

Python is powerful, versatile ... t specifically about accelerating machine-learning tasks or a particular data-processing framework. Pandaral·lel, as the name implies, is a way to parallelize ...

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 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 ...

More and more of an organization’s technology investment is directed at creating a media supply chain that offers greater flexibility in throughput and efficiencies in processing. This doesn’t always ...

And while Python content is the most heavily consumed, it is down slightly on last year. Mike Loukides, vice president of Content Strategy for O'Reilly Media, said the reason for this drop could ...

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 ...