👑Working with Graphs in Python with NetWorkX
NetWorkX is a library that is designed to create, study and manipulate graphs and other network structures. This library is free, distributed under the BSD license. NetworkX is used to teach graph theory, as well as scientific research and solving applied problems in which it is applied. NetWorkX has a number of strong benefits, including:
High performance - NetworkX is able to freely operate large network systems containing up to 10 million vertices and 100 million edges between them. This is especially useful when analyzing Big Data - for example, downloads from social networks that unite millions of users.
Easy to use - since the NetworkX library is written in Python, working with it is not difficult for both professional programmers and amateurs. And graph visualization modules provide visibility of the result, which can be corrected in real time. In order to create a full-fledged graph, you need only 4 lines of code (one of them is just an import):
import networkx as nx
G=nx.Graph()
G.add_edge(1,2)
G.add_edge(2,3,weight=0.9)
Efficiency - due to the fact that the library is implemented on the low-level data structure of the Python programming language, the efficient use of computer hardware and software resources is ensured. This increases the ability to scale graphs, and also reduces dependence on the features of the hardware platform and operating system.
Ongoing Support - Detailed documentation has been developed for NetworkX, describing the functionality and limitations of the library. The repositories are constantly updated. They contain ready-made standard solutions for programmers, which greatly facilitate the work.
Open source code - the user gets great opportunities for customizing and expanding the functionality of the library, adapting it to specific tasks. If desired, the user himself can develop additional software for working with this library.