This post shows you how to use arrays in Python and why this data structure is so useful. A foundational skill for data science, coding, and more!

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

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

Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and ...