Network analysis is often taught with tiny or toy data sets, leaving you with a limited scope of learning and practical usage. Network Science with Python helps you extract relevant data, draw conclusions and build networks using industry-standard â€“ practical data sets. Youâ€™ll begin by learning the basics of natural language processing, network science, and social network analysis, then move on to programmatically building and analyzing networks. Youâ€™ll get a hands-on understanding of the data source, data extraction, interaction with it, and drawing insights from it. This is a hands-on book with theory grounding, specific technical, and mathematical details for future reference. As you progress, youâ€™ll learn to construct and clean networks, conduct network analysis, egocentric network analysis, community detection, and use network data with machine learning. Youâ€™ll also explore network analysis concepts, from basics to an advanced level. By the end of the book, youâ€™ll be able to identify network data and use it to extract unconventional insights to comprehend the complex world around you.