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dispy download for Windows

Free download dispy Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named dispy whose latest release can be downloaded as dispy-4.15.2.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named dispy with OnWorks for free.

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- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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dispy


DESCRIPTION

dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently.

dispy supports public / private / hybrid cloud computing, fog / edge computing.



Features

  • Distributed Computing, Parallel Processing
  • Concurrent Programming with Asynchronous (non-blocking) Sockets and Coroutines
  • epoll, kqueue, devpoll, poll, I/O Completion Ports
  • Cloud Computing
  • Fog Computing / Edge Computing


Audience

Science/Research, Developers, Engineering



Programming Language

Python


Categories

Clustering, Distributed Computing

This is an application that can also be fetched from https://sourceforge.net/projects/dispy/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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