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NetworkX download for Windows

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

This is the Windows app named NetworkX whose latest release can be downloaded as NetworkX3.2sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.

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

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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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NetworkX


DESCRIPTION

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Data structures for graphs, digraphs, and multigraphs. Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested with over 90% code coverage. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”.



Features

  • Software for complex networks
  • Data structures for graphs, digraphs, and multigraphs
  • Network structure and analysis measures
  • Many standard graph algorithms
  • Well tested with over 90% code coverage
  • Generators for classic graphs, random graphs, and synthetic networks


Programming Language

Python


Categories

Networking, Code Coverage

This is an application that can also be fetched from https://sourceforge.net/projects/networkx.mirror/. 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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