Packt is pleased to annouce the release of its new book Python Data Visualization Cookbook, a practical guide that covers the advanced topics of data visualization in Python. The book retails at $39.99, and is available in all the popular electronic formats at $20.39.
About the Author:
Igor Milovanović is an experienced developer with a strong background in Linux system and software engineering. He has skills in building scalable, data-driven distributed software-rich systems. He is an Evangelist for high-quality systems design who has a strong interest in software architecture and development methodologies. He also possesses a solid knowledge of product development.
Python Data Visualization Cookbook starts with installing and setting up a Python environment for data manipulation and visualization, and moves on to more advanced topics such as 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that will provide them with a better understanding of data concepts and the building blocks for dealing with more advanced concepts.
Python Data Visualization Cookbook starts by showing readers 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 and progresses on to more advanced ones, allowing readers to familiarize themselves with all types of plots and charts. As readers progress through the book, they will get to know about the 3D diagrams and animations in Python. Maps are irreplaceable for displaying geo-spatial data, so this book will also show readers how to build them. In the final chapter, there is an explanation on how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.
Python Data Visualization Cookbook covers the following topics:
Chapter 1: Preparing Your Working Environment
Chapter 2: Knowing Your Data
Chapter 3: Drawing Your First Plots and Customizing Them
Chapter 4: More Plots and Customizations
Chapter 5: Making 3D Visualizations
Chapter 6: Plotting Charts with Images and Maps
Chapter 7: Using Right Plots to Understand Data
Chapter 8: More on matplotlib Gems
Python developers who are interested in knowing more about data visualization will find this book useful. For more information, please visit the book's page at: http://www.packtpub.com/python-data-visualization-cookbook/book
|Python Data Visualization Cookbook|
|Learn how to set up an optimal Python environment for data visualization
For more information, please visit: http://www.packtpub.com/python-data-visualization-cookbook/book