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Practical Python data visualizationa...

Pajankar, Ashwin.

Practical Python data visualizationa fast track approach to learning data visualization with Python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Practical Python data visualizationby Ashwin Pajankar.
Reminder of title:	a fast track approach to learning data visualization with Python /
Author:	Pajankar, Ashwin.
Published:	Berkeley, CA :Apress :2021.
Description:	xv, 160 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language)
Online resource:	https://doi.org/10.1007/978-1-4842-6455-3
ISBN:	9781484264553$q(electronic bk.)

Practical Python data visualizationa fast track approach to learning data visualization with Python /
Pajankar, Ashwin.

Practical Python data visualizationa fast track approach to learning data visualization with Python /[electronic resource] :by Ashwin Pajankar. - Berkeley, CA :Apress :2021. - xv, 160 p. :ill., digital ;24 cm.

Chapter 1: Data Visualization with Leather -- Chapter 2: Introduction to the Scientific Python Ecosystem and NumPy -- Chapter 3: NumPy Routines and Visualization with Matplotlib -- Chapter 4: Visualizing images and 3D Shapes -- Chapter 5 :Visualize Networks and Graphs -- Chapter 6: Getting Started with Pandas -- Chapter 7: Processing and Visualizing COVID-19 Data -- Appendix.

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. You will: 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.

ISBN: 9781484264553$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-6455-3doiSubjects--Topical Terms:

215247
Python (Computer program language)

LC Class. No.: QA76.73.P98 / P35 2021

Dewey Class. No.: 001.4226028566

Practical Python data visualizationa fast track approach to learning data visualization with Python /
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520 $a 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. You will: 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.
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