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

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

Key Takeaways. Data preparation takes 60 to 80 percent of the whole analytical pipeline in a typical machine learning / deep learning project. Various programming languages, frameworks and tools ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems.

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 ...

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