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

The startup said today it has closed on the $20 million Series A funding round led by Astasia Myers from Felicis, with ...

Go delivers faster execution and better concurrency for large-scale data tasks.Python offers simplicity and rich libraries ...

When I refer to Python, I don’t mean to use a dedicated Python app in favor of Excel. Of course, it comes with several advantages, but nothing beats a direct Python integration ...

However, Python’s methods for parallelizing operations often require data to be serialized and deserialized between threads or nodes, while Julia’s parallelization is more refined.

The Natural Language Toolkit, or NLTK for short, is among the best-known and most powerful of the Python natural language processing libraries. Many corpora (data sets) and trained models are ...

Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows. At almost 30 years of age, Microsoft's flagship database has learned ...

Batch data processing is too slow for real-time AI: ... Airflow 3.0 is set to support Python and Go with planned support for Java, TypeScript and Rust.

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 ...