Network Science with Python and NetworkX Quick Start Guide: Explore and Visualize Network Data Effectively
(eBook)

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Published
Packt Publishing, 2019.
Format
eBook
ISBN
9781789950410
Status
Available Online

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Language
English

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Citations

APA Citation, 7th Edition (style guide)

Edward L. Platt., & Edward L. Platt|AUTHOR. (2019). Network Science with Python and NetworkX Quick Start Guide: Explore and Visualize Network Data Effectively . Packt Publishing.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Edward L. Platt and Edward L. Platt|AUTHOR. 2019. Network Science With Python and NetworkX Quick Start Guide: Explore and Visualize Network Data Effectively. Packt Publishing.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Edward L. Platt and Edward L. Platt|AUTHOR. Network Science With Python and NetworkX Quick Start Guide: Explore and Visualize Network Data Effectively Packt Publishing, 2019.

MLA Citation, 9th Edition (style guide)

Edward L. Platt, and Edward L. Platt|AUTHOR. Network Science With Python and NetworkX Quick Start Guide: Explore and Visualize Network Data Effectively Packt Publishing, 2019.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID162dbe19-7589-6f32-1c52-a3ee5cfe71e5-eng
Full titlenetwork science with python and networkx quick start guide explore and visualize network data effectively
Authorplatt edward l
Grouping Categorybook
Last Update2024-05-15 02:00:35AM
Last Indexed2024-11-02 02:46:00AM

Book Cover Information

Image Sourcehoopla
First LoadedJun 17, 2022
Last UsedSep 27, 2024

Hoopla Extract Information

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    [synopsis] => Manipulate and analyze network data with the power of Python and NetworkX

Key Features
Understand the terminology and basic concepts of network science
Leverage the power of Python and NetworkX to represent data as a network
Apply common techniques for working with network data of varying sizes.
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