Ma E. Network Analysis Made Simple. An introduction...2021 torrent

Textbook in PDF format

Are you interested in learning about graph theory and applied network analysis, leveraging your Python skills? Then this is the book for you! See how network science & graph theory connects with a variety of data analysis problems, and use it to solve your next Data Science challenge!
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 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!