ipyparallel.readthedocs.io

Using IPython for parallel computing — ipyparallel 5.3.0.dev documentation

Changes in IPython Parallel. Overview and getting started. Starting the IPython controller and engines. Configuring an IPython cluster. IPython on EC2 with StarCluster. IPython’s Direct interface. Starting the IPython controller and engines. Quick and easy parallelism. Moving Python objects around. Other things to look at. The IPython task interface. Starting the IPython controller and engines. Quick and easy parallelism. Beyond multiprocessing’s AsyncResult. Map results are iterable! Nov 21, 2016. IPyth...

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Changes in IPython Parallel. Overview and getting started. Starting the IPython controller and engines. Configuring an IPython cluster. IPython on EC2 with StarCluster. IPython’s Direct interface. Starting the IPython controller and engines. Quick and easy parallelism. Moving Python objects around. Other things to look at. The IPython task interface. Starting the IPython controller and engines. Quick and easy parallelism. Beyond multiprocessing’s AsyncResult. Map results are iterable! Nov 21, 2016. IPyth...

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Using IPython for parallel computing — ipyparallel 5.3.0.dev documentation | ipyparallel.readthedocs.io Reviews

https://ipyparallel.readthedocs.io

Changes in IPython Parallel. Overview and getting started. Starting the IPython controller and engines. Configuring an IPython cluster. IPython on EC2 with StarCluster. IPython’s Direct interface. Starting the IPython controller and engines. Quick and easy parallelism. Moving Python objects around. Other things to look at. The IPython task interface. Starting the IPython controller and engines. Quick and easy parallelism. Beyond multiprocessing’s AsyncResult. Map results are iterable! Nov 21, 2016. IPyth...

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ipyparallel.readthedocs.io

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Overview and getting started — ipyparallel 6.1.0.dev documentation

http://ipyparallel.readthedocs.io/en/latest/intro.html

Changes in IPython Parallel. Overview and getting started. Starting the IPython controller and engines. Configuring an IPython cluster. IPython on EC2 with StarCluster. IPython’s Direct interface. Starting the IPython controller and engines. Quick and easy parallelism. Moving Python objects around. Other things to look at. The IPython task interface. Starting the IPython controller and engines. Quick and easy parallelism. Beyond multiprocessing’s AsyncResult. Map results are iterable! This section gives ...

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Using MPI with IPython — ipyparallel 6.1.0.dev documentation

http://ipyparallel.readthedocs.io/en/latest/mpi.html

Changes in IPython Parallel. Overview and getting started. Starting the IPython controller and engines. Configuring an IPython cluster. IPython on EC2 with StarCluster. IPython’s Direct interface. Starting the IPython controller and engines. Quick and easy parallelism. Moving Python objects around. Other things to look at. The IPython task interface. Starting the IPython controller and engines. Quick and easy parallelism. Beyond multiprocessing’s AsyncResult. Map results are iterable! A much better way o...

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IPython’s Task Database — ipyparallel 6.1.0.dev documentation

http://ipyparallel.readthedocs.io/en/latest/db.html

Changes in IPython Parallel. Overview and getting started. Starting the IPython controller and engines. Configuring an IPython cluster. IPython on EC2 with StarCluster. IPython’s Direct interface. Starting the IPython controller and engines. Quick and easy parallelism. Moving Python objects around. Other things to look at. The IPython task interface. Starting the IPython controller and engines. Quick and easy parallelism. Beyond multiprocessing’s AsyncResult. Map results are iterable! The most common use...

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ipyparallel — ipyparallel 6.1.0.dev documentation

http://ipyparallel.readthedocs.io/en/latest/api/ipyparallel.html

Changes in IPython Parallel. Overview and getting started. Starting the IPython controller and engines. Configuring an IPython cluster. IPython on EC2 with StarCluster. IPython’s Direct interface. Starting the IPython controller and engines. Quick and easy parallelism. Moving Python objects around. Other things to look at. The IPython task interface. Starting the IPython controller and engines. Quick and easy parallelism. Beyond multiprocessing’s AsyncResult. Map results are iterable! On Read the Docs.

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Using IPython for parallel computing — ipyparallel 6.0.2 documentation

http://ipyparallel.readthedocs.io/en/stable

Changes in IPython Parallel. Overview and getting started. Starting the IPython controller and engines. Configuring an IPython cluster. IPython on EC2 with StarCluster. IPython’s Direct interface. Starting the IPython controller and engines. Quick and easy parallelism. Moving Python objects around. Other things to look at. The IPython task interface. Starting the IPython controller and engines. Quick and easy parallelism. Beyond multiprocessing’s AsyncResult. Map results are iterable! Feb 23, 2017. Trans...

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ipython.readthedocs.io

Overview — IPython 5.3.0 documentation

http://ipython.readthedocs.io/en/stable/overview.html

Enhanced interactive Python shell. Main features of the interactive shell. Portability and Python requirements. What’s new in IPython. Using IPython for interactive work. Developer’s guide for third party tools and libraries. Guide for IPython core Developers. The goal of IPython is to create a comprehensive environment for interactive and exploratory computing. To support this goal, IPython has three main components:. An enhanced interactive Python shell. A decoupled two-process communication model.

dask.readthedocs.io

Use Cases — dask 0.14.0 documentation

http://dask.readthedocs.io/en/latest/use-cases.html

Directory of CSV or tabular HDF files. Directory of CSV files on HDFS. Directories of custom format files. Scikit-Learn or Joblib User. Dask is a versatile tool that supports a variety of workloads. This page contains brief and illustrative examples for how people use Dask in practice. This page emphasizes breadth and hopefully inspires readers to find new ways that Dask can serve them beyond their original intent. Dask use cases can be roughly divided in the following two categories:. Single machine par...

ipython.readthedocs.io

IPython Documentation — IPython 6.0.0.dev documentation

http://ipython.readthedocs.io/en/latest

What’s new in IPython. Using IPython for interactive work. Developer’s guide for third party tools and libraries. Guide for IPython core Developers. This documentation covers a development version of IPython. The development version may differ significantly from the latest stable release. This documentation covers IPython versions 6.0 and higher. Beginning with version 6.0, IPython stopped supporting compatibility with Python versions lower than 3.3 including all versions of Python 2.7. March 09, 2017.

distributed.readthedocs.io

Related Work — Dask.distributed 1.16.0+36.g2d869bf documentation

http://distributed.readthedocs.io/en/latest/related-work.html

In depth comparison to particular projects. Data Streams with Queues. Shared Futures With Channels. Launch Tasks from Tasks. Journey of a Task. Writing the “related work” for a project called “distributed”, is a Sisyphean task. We’ll list a few notable projects that you’ve probably already heard of down below. You may also find the dask comparison with spark. Provides batch processing with the MapReduce programming paradigm. Python users typically use Hadoop Streaming. Wraps the Message Passing Interface...

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ipyparallel.readthedocs.io

Using IPython for parallel computing — ipyparallel 5.3.0.dev documentation

Changes in IPython Parallel. Overview and getting started. Starting the IPython controller and engines. Configuring an IPython cluster. IPython on EC2 with StarCluster. IPython’s Direct interface. Starting the IPython controller and engines. Quick and easy parallelism. Moving Python objects around. Other things to look at. The IPython task interface. Starting the IPython controller and engines. Quick and easy parallelism. Beyond multiprocessing’s AsyncResult. Map results are iterable! Nov 21, 2016. IPyth...

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