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Python data visualization cookbook : over 60 recipes that will enable you to learn how to create attractive visualizations using Python's most popular libraries by Igor Milovanović is a nonfiction available to read on EtoBox.

What is Python data visualization cookbook : over 60 recipes that will enable you to learn how to create attractive visualizations using Python's most popular libraries about?

Over 60 recipes that will enable you to learn how to create attractive visualizations using Python's most popular libraries **Overview** * Learn how to set up an optimal Python environment for data visualization * Understand the topics such as importing data for visualization and formatting data for visualization * Understand the underlying data and how to use the right visualizations **In Detail** Today, data visualization is a hot topic as a direct result of the vast amount of data created every second. Transforming that data into information is a complex task for data visualization professionals, who, at the same time, try to understand the data and objectively transfer that understanding to others. This book is a set of practical recipes that strive to help the reader get a firm grasp of the area of data visualization using Python and its popular visualization and data libraries. 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 guide the rea

Who reads Python data visualization cookbook : over 60 recipes that will enable you to learn how to create attractive visualizations using Python's most popular libraries?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Igor Milovanović
Publisher
Packt Publishing, Limited
Published
2013
Language
EN
ISBN
9781782163374
Category
nonfiction
Subjects
Language Learning, Computer Science, Science

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