Network Analysis Made Simple An Introduction To Network Analysis And Applied Graph Theory Using Python And Networkx Eric Ma And Mridul Seth by Eric Ma And Mridul Seth instant download after payment.

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:

1. about the NetworkX API
2. about the basics and fundamentals of graph theory
3. how to read and write graphs using modern data formats (e.g. pandas DataFrames)
4. an introduction to advanced topics, including bipartite graphs, how matrices and linear algebra relate to graph theory, and statistical inference on graphs
5. 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 on GitHub. 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!