图 书 馆
社区检测网络Community Detection NetworkX |
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| 课程网址: | http://videolectures.net/NTUcomplexity2017_legara_community_netwo... |
| 主讲教师: | Erika Fille Tupas Legara |
| 开课单位: | 科学、技术和研究机构高性能计算研究所 |
| 开课时间: | 2017-04-03 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | NetworkX provides data structures for graphs (or networks) along with graph algorithms, generators, and drawing tools. The structure of NetworkX can be seen by the organization of its source code. The package provides classes for graph objects, generators to create standard graphs, IO routines for reading in existing datasets, algorithms to analyse the resulting networks and some basic drawing tools. Most of the NetworkX API is provided by functions which take a graph object as an argument. Methods of the graph object are limited to basic manipulation and reporting. This provides modularity of code and documentation. It also makes it easier for newcomers to learn about the package in stages. The source code for each module is meant to be easy to read and reading this Python code is actually a good way to learn more about network algorithms, but we have put a lot of effort into making the documentation sufficient and friendly. If you have suggestions or questions please contact us by joining the NetworkX Google group. Classes are named using CamelCase (capital letters at the start of each word). functions, methods and variable names are lower_case_underscore (lowercase with an underscore representing a space between words). |
| 关 键 词: | 数据结构; 图形算法; 绘图工具 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-02-21：zkj |
| 最后编审: | 2022-02-21：zkj |
| 阅读次数: | 42 |