Book Image

Python Data Visualization Cookbook (Second Edition)

Book Image

Python Data Visualization Cookbook (Second Edition)

Overview of this book

Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that will guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts. Python Data Visualization Cookbook starts by showing how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. Initially it uses simple plots and charts to more advanced ones, to make it easy to understand for readers. As the readers will go through the book, they will get to know about the 3D diagrams and animations. Maps are irreplaceable for displaying geo-spatial data, so this book will also show how to build them. In the last chapter, it includes explanation on how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.
Table of Contents (16 chapters)
Python Data Visualization Cookbook Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

About the Authors

Igor Milovanović is an experienced developer, with strong background in Linux system knowledge and software engineering education, he is skilled in building scalable data-driven distributed software rich systems.

Evangelist for high-quality systems design who holds strong interests in software architecture and development methodologies, Igor is always persistent on advocating methodologies which promote high-quality software, such as test-driven development, one-step builds and continuous integration.

He also possesses solid knowledge of product development. Having field experience and official training, he is capable of transferring knowledge and communication flow from business to developers and vice versa.

Igor is most grateful to his girlfriend for letting him spent hours on the work instead with her and being avid listener to his endless book monologues. He thanks his brother for being the strongest supporter. He is thankful to his parents to let him develop in various ways and become a person he is today.

Dimitry Foures is a data scientist with a background in applied mathematics and theoretical physics. After completing his undergraduate studies in physics at ENS Lyon (France), he studied fluid mechanics at École Polytechnique in Paris where he obtained a first class master's. He holds a PhD in applied mathematics from the University of Cambridge. He currently works as a data scientist for a smart-energy startup in Cambridge, in close collaboration with the university.

Giuseppe Vettigli is a data scientist who has worked in the research industry and academia for many years. His work is focused on the development of machine learning models and applications to use information from structured and unstructured data. He also writes about scientific computing and data visualization in Python on his blog at http://glowingpython.blogspot.com.