As Python is the language of choice for most data science work, you can see why Nvidia chose to make this a key part of its strategy.ZDNet had a Q&A with Dask creator, Matthew Rocklin, who ...

Python was already the most popular language in Spark before the latest batch of improvements (and Databricks and the Apache Spark community aren’t done). So it’s interesting to note the level of ...

Bodo.ai, an open source start-up dedicated to transformative Python, ... Unlike conventional tools like Spark, Dask, or Ray, Bodo combines ease of use with the power of HPC.

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 ...

Dask has deep roots in the Python ecosystem, which trends more toward classic data science use cases. Rocklin is seeing more interest emerge among Python coders for data engineering use cases. That’s ...

AUSTIN, Texas, June 7, 2022 /PRNewswire/ -- Dask, an open-source Python-native parallel computing library, has announced its latest rebrand. Dask's rebranding includes a new visual style ...

Dask is distributed task scheduler for Python, playing a similar role for Python that Apache Spark plays for Scala. Dask-cuDF is a library that provides partitioned, GPU-backed dataframes.

But Spark has also had its share of impedance mismatch issues, such as making R and Python programs first-class citizens, or adapting to more compute-intensive processing of AI models.