---------------------------------------------------------------------------------

-----------------------------------------------------------------------------------
                               Proudly Presents
-----------------------------------------------------------------------------------
The Data Visualization Workshop, 2nd Edition (packtpub - 2020) [AhLaN]
     





SUPPLiER.......: WWW                  RELEASE DATE......: 16/07/20

Uploader........: abidmail            Collector................: abidmail

                   ... RELEASE iNFORMATiON ...

GENERAL INFO
Author : Mario Dobler, Tim Großmann
Length : 480 pages
Edition : 1
Language         : English
Publisher         : Packt Publishing
Publication Date                 : 2020-02-28
ISBN-10 : 1838981489
ISBN-13 : 9781838981488

BOOK  DESCRIPTION
Cut through the noise and get real results with a step-by-step approach to learning data visualization with Python

Key Features
Ideal for Python beginners getting started with data visualization for the first time
A step-by-step data visualization tutorial with exercises and activities that help build key skills
Structured to let you progress at your own pace, on your own terms
Use your physical print copy to redeem free access to the online interactive edition
Book Description
You already know you want to learn data visualization with Python, and a smarter way to learn is to learn by doing. The Data Visualization Workshop focuses on building up your practical skills so that you can develop clear, expressive real-world charts and diagrams. You’ll learn from real examples that lead to real results.

Throughout The Data Visualization Workshop, you’ll take an engaging step-by-step approach to understand data visualization with Python. You won’t have to sit through any unnecessary theory. If you’re short on time you can jump into a single exercise each day or spend an entire weekend learning how companies like Uber are using advanced visualization techniques to represent their data visually. It’s your choice. Learning on your terms, you’ll build up and reinforce key skills in a way that feels rewarding.

Every physical print copy of The Data Visualization Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you’ll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You’ll even earn a secure credential that you can share and verify online upon completion. It’s a premium learning experience that’s included with your printed copy. To redeem, follow the instructions located at the start of your book.

Fast-paced and direct, The Data Visualization Workshop is the ideal companion for Python beginners who want to get up and running with data visualization. You’ll visualize your work like a skilled data scientist, learning along the way. This process means that you’ll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.

What you will learn
Get to grips with fundamental concepts and conventions of data visualization
Learn how to use libraries like NumPy and Pandas to index, slice, and iterate data frames
Implement different plotting techniques to produce compelling data visualizations
Learn how you can skyrocket your Python data wrangling skills
Draw statistical graphics using the Seaborn and Matplotlib libraries
Create interactive visualizations and integrate them into any web page
Who this book is for
Our goal at Packt is to help you be successful, in whatever it is that you choose to do. The Data Visualization Workshop is an ideal tutorial for those who want to perform data visualization with Python and are just getting started. Pick up a Workshop today and let Packt help you develop skills that stick with you for life.

Table of Contents
The Importance of Data Visualization and Data Exploration
All You Need to Know about Plots
A Deep Dive into Matplotlib
Simplifying Visualizations Using Seaborn
Plotting Geospatial Data
Making Things Interactive with Bokeh
Combining What We Have Learned