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Can I read Community Experience Distilled Sabia Martino Wang Cathy Python Tools For Visual Studio Packt Publishing 2014 on EtoBox?

Community Experience Distilled Sabia Martino Wang Cathy Python Tools For Visual Studio Packt Publishing 2014 by Desconocido is a nonfiction available to read on EtoBox.

What is Community Experience Distilled Sabia Martino Wang Cathy Python Tools For Visual Studio Packt Publishing 2014 about?

<p><h2>In Detail</h2><p>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.</p><p>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 reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts.</p><p>Python Data Visualization Cookbook starts by showing you 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 Gan

Who reads Community Experience Distilled Sabia Martino Wang Cathy Python Tools For Visual Studio Packt Publishing 2014?

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

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

Author
Desconocido
Publisher
Pact Publishing; Packt Publishing
Published
2014
Language
EN
ISBN
9781783288687
Category
nonfiction
Subjects
Engineering, Computer Science, Language Learning
Rating
3.77 / 5 (18 ratings)
Updated
2026-03-14

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