ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Computers / Programming / Open Source

Mastering Python Data Visualization

| £36.65 | €41.22 | Ca$59.47 | Au$58.69
by Kirthi Raman
What is this?DRM-EPUB | by download   add to wish list
Mastering Python Data Visualization by Kirthi Raman

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.

This book offers practical guidance to help you on the journey to effective data visualization. Commencing with a chapter on the data framework, which explains the transformation of data into information and eventually knowledge, this book subsequently covers the complete visualization process using the most popular Python libraries with working examples. You will learn the usage of Numpy, Scipy, IPython, MatPlotLib, Pandas, Patsy, and Scikit-Learn with a focus on generating results that can be visualized in many different ways. Further chapters are aimed at not only showing advanced techniques such as interactive plotting; numerical, graphical linear, and non-linear regression; clustering and classification, but also in helping you understand the aesthetics and best practices of data visualization. The book concludes with interesting examples such as social networks, directed graph examples in real-life, data structures appropriate for these problems, and network analysis.

By the end of this book, you will be able to effectively solve a broad set of data analysis problems.

Style and approach

The approach of this book is not step by step, but rather categorical. The categories are based on fields such as bioinformatics, statistical and machine learning, financial computation, and linear algebra. This approach is beneficial for the community in many different fields of work and also helps you learn how one approach can make sense across many fields

To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.

SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
or call in the US toll free 1-888-866-9150 product ID: 786868

Ebook Details
Pages: 372
Size: 20.2 MB
Publisher: Packt Publishing
Date published:   2015
ISBN: 9781783988334 (DRM-EPUB)

DRM Settings
Copying:not allowed
Printing:not allowed
Read Aloud:  not allowed

This product is listed in the following categories:

Nonfiction > Computers > Data Processing
Nonfiction > Computers > Programming
Nonfiction > Computers > Programming > Open Source

If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

Submit 5 page SummaryWhat is this?

© 2016