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Dask

Dask

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What is Dask?

Dask is a flexible parallel computing library for Python. It is used to scale Python code from single machines to large clusters, enabling parallel and distributed computing for tasks that are too large to fit in memory or too slow to execute on a single core. Dask integrates well with other Python libraries like NumPy, pandas, and scikit-learn, allowing users to parallelize existing workflows with minimal code changes. It is commonly used for data science, machine learning, and scientific computing tasks involving large datasets.

What other technologies are related to Dask?

Dask Competitor Technologies

Ray is a framework for scaling Python applications and can be used for similar distributed computing tasks as Dask.
mentioned alongside Dask in 20% (808) of relevant job posts
Spark is a distributed computing framework that provides similar functionalities for large-scale data processing as Dask.
mentioned alongside Dask in 1% (3.5k) of relevant job posts

Dask Complementary Technologies

Fargate and EC2 are cloud computing platforms that can be used to deploy and run Dask clusters.
mentioned alongside Dask in 100% (163) of relevant job posts
ECS and Docker provide containerization technology that is frequently used to deploy Dask in distributed environments.
mentioned alongside Dask in 70% (163) of relevant job posts
xarray integrates well with Dask to handle large multi-dimensional arrays.
mentioned alongside Dask in 37% (261) of relevant job posts

Which organizations are mentioning Dask?

Organization
Industry
Matching Teams
Matching People
Dask
Inria
Scientific and Technical Services
Dask
NVIDIA
Scientific and Technical Services

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