distributed-compute-on-aws-with-cross-regional-dask
Perform I/O intensive workloads on high-volume data sparsely located across multiple AWS regions through the use of Dask. (by aws-solutions-library-samples)
Dask
Parallel computing with task scheduling (by dask)
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distributed-compute-on-aws-with-cross-regional-dask | Dask | |
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2 | 32 | |
14 | 12,022 | |
- | 0.8% | |
3.1 | 9.6 | |
7 months ago | 7 days ago | |
TypeScript | Python | |
MIT No Attribution | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
distributed-compute-on-aws-with-cross-regional-dask
Posts with mentions or reviews of distributed-compute-on-aws-with-cross-regional-dask.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Cross Regional Dask on AWS
Check it out. Would you use this? https://github.com/aws-samples/distributed-compute-on-aws-with-cross-regional-dask
Dask
Posts with mentions or reviews of Dask.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-15.
- The Distributed Tensor Algebra Compiler (2022)
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A peek into Location Data Science at Ola
Data scientists work on phenomenally large datasets, and Dask is a handy tool for exploration within the confines of a single cloud VM or their local PCs. Location data visualization is an essential part of deciding further algorithm development and roadmap for projects. This lays the foundation for data engineering and science to work at scale, with petabytes of data.
- File format for large data with many columns
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What is the best way to save a csv.file in number only ? PC hangs when my file is more than 2GB
Dask
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Large Scale Hydrology: Geocomputational tools that you use
We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk.
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msgspec - a fast & friendly JSON/MessagePack library
I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec.
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What does it mean to scale your python powered pipeline?
Dask: Distributed data frames, machine learning and more
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Data pipelines with Luigi
To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:
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Is Numpy always more efficient than Pandas? And how much should we rely on Python anyway?
Look into Dask, see: https://dask.org/
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Ask HN: Is PySPark a Dead-End?
[1] https://dask.org/