Network Analysis Made Simple : An introduction to network analysis and applied graph theory using Python and NetworkX

[LeeAndro]

English | 2021 | ISBN: NA | 193 Pages | PDF, EPUB, MOBI | 22.4 MB

As the accompanying book to the popular Network Analysis Made Simple series created and taught by Eric Ma and Mridul Seth at Python, SciPy, ODSC and PyData conferences, come learn

about the NetworkX API
about the basics and fundamentals of graph theory
how to read and write graphs using modern data formats (e.​

g. pandas DataFrames)
an introduction to advanced topics, including bipartite graphs, how matrices and linear algebra relate to graph theory, and statistical inference on graphs
through two case studies to help you apply the concepts and ideas learned throughout the book
To aid your learning journey, we also have a GitHub repository with Jupyter notebooks that you can execute locally or on Binder! You can find it here onWhats news:. Pick up this book for a self-paced introduction, or as a reference after taking the tutorial, or simply purchase it because you appreciate the work we've put in over the past five years to make and refine the material, and want to support further updates as the Python data science ecosystem evolves!



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