Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	0AC69AD34720C6A8F423D3BBB896F25E
PackageArch	noarch
PackageDescription	NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Features: * Includes standard graph-theoretic and statistical physics functions * Easy exchange of network algorithms between applications, disciplines, and platforms * Includes many classic graphs and synthetic networks * Nodes and edges can be "anything" (e.g. time-series, text, images, XML records) * Exploits existing code from high-quality legacy software in C, C++, Fortran, etc. * Open source (encourages community input) * Unit-tested
PackageName	python2-networkx
PackageRelease	lp150.1.2
PackageVersion	2.1
SHA-1	16A46E1FA3D5E3E73CE8616321A785A4EB6C9ED1
SHA-256	8CF40D193055118E9A87A126B916E7AD881FAD9E52C03E0308C0372CCCC29693

Key	Value
MD5	69A3668F6CB45A12E2DA4F8B43384CE4
PackageArch	noarch
PackageDescription	NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Features: * Includes standard graph-theoretic and statistical physics functions * Easy exchange of network algorithms between applications, disciplines, and platforms * Includes many classic graphs and synthetic networks * Nodes and edges can be "anything" (e.g. time-series, text, images, XML records) * Exploits existing code from high-quality legacy software in C, C++, Fortran, etc. * Open source (encourages community input) * Unit-tested
PackageName	python2-networkx
PackageRelease	lp151.1.4
PackageVersion	2.1
SHA-1	FE0CF352ECD99966260D8D1BB377C217F4A37BE9
SHA-256	30F6A082190D6DE034A4B76A7F1BD5C28DA89D74DCA9C87D04661629E8C47451

Key	Value
MD5	8F6442F9F2B8BEFB3E357EE3C1DF88CA
PackageArch	noarch
PackageDescription	NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Features: * Includes standard graph-theoretic and statistical physics functions * Easy exchange of network algorithms between applications, disciplines, and platforms * Includes many classic graphs and synthetic networks * Nodes and edges can be "anything" (e.g. time-series, text, images, XML records) * Exploits existing code from high-quality legacy software in C, C++, Fortran, etc. * Open source (encourages community input) * Unit-tested
PackageName	python3-networkx
PackageRelease	lp151.1.4
PackageVersion	2.1
SHA-1	14FAA3D58CB815EAAE82841CD35E735C8CD78FC0
SHA-256	FF71BB4D6E70F6570B288976CD4EECFCC661997D1D4322092705256306057F3D

Key	Value
MD5	828A7A052CE958F1B0BFEB705A537264
PackageArch	noarch
PackageDescription	NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Features: * Includes standard graph-theoretic and statistical physics functions * Easy exchange of network algorithms between applications, disciplines, and platforms * Includes many classic graphs and synthetic networks * Nodes and edges can be "anything" (e.g. time-series, text, images, XML records) * Exploits existing code from high-quality legacy software in C, C++, Fortran, etc. * Open source (encourages community input) * Unit-tested
PackageName	python3-networkx
PackageRelease	lp150.1.2
PackageVersion	2.1
SHA-1	CBEBCB442C82BD92DECEA1FFEB1727C7091C64AB
SHA-256	CD15E1A415945A269EF823D96D22A5E10C8AF85D31DCD018FA9E32B9673C14DB

Key	Value
FileSize	957548
MD5	B5CF21606BABF1C29A52C10C19B33ADF
PackageDescription	tool to create, manipulate and study complex networks NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-networkx
PackageSection	python
PackageVersion	2.1-1ubuntu2
SHA-1	C3A7C31368D9FC3B54CD64C9223B4837494E5BC8
SHA-256	5776271E9EDB2A642005569835FDE23E4E1779C2B90563AEE2A74FAA256B1D6F