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Mastering Python Data Visualization [PDF] - [Sherlockism]

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Description

 							
  
 
Generate effective results in a variety of visually appealing charts using the plotting packages in Python
  

 About This Book
  Explore various tools and their strengths while building meaningful representations that
can make it easier to understand data
  Packed with computational methods and algorithms in diverse fields of
science
  Written in an easy-to-follow categorical style, this book discusses some niche techniques that will make
your code easier to work with and reuse
  
  Who This Book Is For
  If you are a Python developer
who performs data visualization and wants to develop existing knowledge about Python to build analytical results and
produce some amazing visual display, then this book is for you. A basic knowledge level and understanding of Python
libraries is assumed.
  
  What You Will Learn
  Gather, cleanse, access, and map data to a visual
framework
  Recognize which visualization method is applicable and learn best practices for data visualization
  Get acquainted with reader-driven narratives and author-driven narratives and the principles of perception
 
Understand why Python is an effective tool to be used for numerical computation much like MATLAB, and explore some
interesting data structures that come with it
  Explore with various visualization choices how Python can be very
useful in computation in the field of finance and statistics
  Get to know why Python is the second choice after
Java, and is used frequently in the field of machine learning
  Compare Python with other visualization approaches
using Julia and a JavaScript-based framework such as D3.js
  Discover how Python can be used in conjunction with
NoSQL such as Hive to produce results efficiently in a distributed environment
  
  In Detail
 
Python has a handful of open source libraries for numerical computations involving optimization, linear algebra,
integration, interpolation, and other special functions using array objects, machine learning, data mining, and
plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an
important role in the research into diverse domains including economics, finance, biological sciences, social science,
health care, and many more. The variety of tools and approaches available within Python community is stunning, and can
bolster and enhance visual story experiences. 						

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