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What is NetworkX used for?

What is NetworkX used for?

NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and function of complex networks. It is used to study large complex networks represented in form of graphs with nodes and edges.

Is NetworkX pure Python?

NetworkX is a pure Python package; you don’t need a compiler to build or install it.

Is NetworkX safe?

Is networkx safe to use? The python package networkx was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use.

How do I get NetworkX?

Install the current release of networkx with pip :

  1. $ pip install networkx[default]
  2. $ pip install –upgrade networkx[default]
  3. $ pip install –user networkx[default]
  4. $ pip install networkx.
  5. $ pip install .[default]

Is NetworkX a standard Python library?

NetworkX is a Python library for studying graphs and networks. NetworkX is free software released under the BSD-new license.

Why is NetworkX slow?

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NetworkX, on the other hand, comes at a distant third with running times in the order of 40 to 250 times slower than graph-tool. This is mostly due to its pure Python implementation, which is known to be in general substantially slower than C/C++ (see here and here for further comparisons).

Is NetworkX a standard library?

NetworkX is free software released under the BSD-new license….NetworkX.

A graph created with NetworkX
Original author(s) Aric Hagberg Pieter Swart Dan Schult
Type Software library
License BSD-new license
Website networkx.github.io

How do I install a NetworkX module in Python?

Download the source from https://pypi.python.org/pypi/networkx/ or get the latest version.

  1. Unpack and change directory to the source directory (it should have the files README. txt and setup.py).
  2. Run python setup.py install to build and install.
  3. (Optional) Run nosetests to execute the tests if you have nose installed.

Does NetworkX come with anaconda?

NetworkX is currently installed with Anaconda. Miniconda doesn’t come with NetworkX by default. Download the source from https://pypi.python.org/pypi/networkx/ or get the latest version.