Go to main content

Practical Python data visualization [electronic resource] : a fast track approach to learning data visualization with Python / Ashwin Pajankar.

Pajankar, Ashwin.
2021
QA76.9.I52
Available Online
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket
Cite
Citation

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Practical Python data visualization [electronic resource] : a fast track approach to learning data visualization with Python / Ashwin Pajankar.
Author
Pajankar, Ashwin.
ISBN
9781484264553 (electronic bk.)
148426455X (electronic bk.)
9781484264560 (print)
1484264568
9781484267516 (print)
1484267516
1484264541
9781484264546
DOI
https://doi.org/10.1007/978-1-4842-6455-3
Published
Berkeley, CA : Apress, 2021.
Language
English
Description
1 online resource
Item Number
10.1007/978-1-4842-6455-3 doi
Call Number
QA76.9.I52
Dewey Decimal Classification
001.4/226
Summary
Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book's programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations. You'll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python's popular data visualization charting library. You'll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You'll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets. The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. With Practical Python Data Visualization you'll master the core concepts of data visualization with Pandas and the Jupyter notebook interface. What You'll Learn Review practical aspects of Python Data Visualization with programming-friendly abstractions Install Python 3 and Jupyter on multiple platforms including Windows, Raspberry Pi, and Ubuntu Visualize COVID-19 data sets with Pandas Who This Book Is For Data Science enthusiasts and professionals, Business analysts and managers, software engineers, data engineers.
Note
Includes index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Description based on print version record.
Available in Other Form
Practical Python Data Visualization : A Fast Track Approach to Learning Data Visualization with Python.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Intro
Table of Contents
About the Author
About the Technical Reviewers
Acknowledgments
Introduction
Chapter 1: Introduction to Python
Python Programming Language
History of Python
Python Enhancement Proposals
Philosophy of Python
Applications of Python
Installing Python on Various Platforms
Installing on a Windows Computer
Installing on Ubuntu and Debian Derivatives
Python Modes
Interactive Mode
Script Mode
Summary
Chapter 2: Exploring Jupyter Notebook
Overview of Jupyter Notebook
Setting up Jupyter Notebook

Running Code in Jupyter Notebook
Summary
Chapter 3: Data Visualization with Leather
Running OS Commands in Jupyter Notebook
Introduction to Leather
More Types of Visualizations
Scales
Styling
Summary
Chapter 4: Scientific Python Ecosystem and NumPy
Scientific Python Ecosystem
NumPy and Ndarrays
More Than One Dimension
Ndarray Properties
NumPy Constants
Summary
Chapter 5: Data Visualization with NumPy and Matplotlib
Matplotlib
Visualization with NumPy and Matplotlib
Single Line Plots
Multiline Plots
Grid, Axes, and Labels

Colors, Styles, and Markers
Summary
Chapter 6: Visualizing Images and 3D Shapes
Visualizing the Images
Operations on Images
3D Visualizations
Summary
Chapter 7: Visualizing Graphs and Networks
Graphs and Networks
Graphs in Python 3
Visualizing Graphs in Python 3
More Types of Graphs
Assigning Custom Labels to Nodes
Summary
Chapter 8: Getting Started with Pandas
Introduction to Pandas
Series in Pandas
Basic Operations on Series
Dataframes in Pandas
Reading Data Stored in CSV Format
Visualizing with Pandas
Summary

Chapter 9: Working with COVID-19 Data
The COVID-19 Pandemic and the Data Set
Data Sources for COVID-19 Data
Visualizing the COVID-19 Data
Summary
Index

Browse Subjects

Show more subjects...

Statistics

from
to
Export