[ 原始碼： dask ]
套件： python3-dask (0.16.0-1)
python3-dask 的相關超連結
Trisquel 的資源：
下載原始碼套件 dask：
維護者：
Original Maintainers:
- Debian Python Modules Team (郵件存檔)
- Diane Trout
外部的資源：
- 主頁 [github.com]
相似套件：
Minimal task scheduling abstraction for Python 3
Dask is a flexible parallel computing library for analytics, containing two components.
1. Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. 2. "Big Data" collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers.
This contains the Python 3 version.
其他與 python3-dask 有關的套件
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- rec: python3-numpy
- Fast array facility to the Python 3 language
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- rec: python3-toolz
- List processing tools and functional utilities
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- sug: python-dask-doc
- Minimal task scheduling abstraction documentation
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- sug: python3-cloudpickle
- Extended pickling support for Python 3 objects
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- sug: python3-distributed (>= 1.16)
- Dask Distributed computing for Python 3
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- sug: python3-graphviz
- Simple Python 3 interface for Graphviz
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- sug: python3-pandas (>= 0.19.0)
- data structures for "relational" or "labeled" data - Python 3
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- sug: python3-partd
- Appendable key-value storage for Python 3
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- sug: python3-psutil
- module providing convenience functions for managing processes (Python3)