國立虎尾科技大學 |

Practical Python Data Visualization = A Fast Track Approach To Learning Data Visualization With Python /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Practical Python Data Visualization/ by Ashwin Pajankar.
Reminder of title:	A Fast Track Approach To Learning Data Visualization With Python /
Author:	Pajankar, Ashwin.
Description:	XV, 160 p. 117 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language). -
Online resource:	https://doi.org/10.1007/978-1-4842-6455-3
ISBN:	9781484264553

Practical Python Data Visualization = A 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. - 1st ed. 2021. - XV, 160 p. 117 illus.online resource.

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

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

1127623
Python (Computer program language).

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Practical Python Data Visualization = A Fast Track Approach To Learning Data Visualization With Python /
LDR:03130nam a22003975i 4500 001 1045904
003 DE-He213
005 20210622161706.0
007 cr nn 008mamaa
008 220103s2021 xxu| s |||| 0|eng d
020 $a 9781484264553 $9 978-1-4842-6455-3
024 7 $a 10.1007/978-1-4842-6455-3 $2 doi
035 $a 978-1-4842-6455-3
050 4 $a QA76.73.P98
072 7 $a UMX $2 bicssc
072 7 $a COM051360 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.133 $2 23
100 1 $a Pajankar, Ashwin. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1140760
245 1 0 $a Practical Python Data Visualization $h [electronic resource] : $b A Fast Track Approach To Learning Data Visualization With Python / $c by Ashwin Pajankar.
250 $a 1st ed. 2021.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a XV, 160 p. 117 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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.
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.
650 0 $a Python (Computer program language). $3 1127623
650 0 $a Computer science. $3 573171
650 0 $a Computer software. $3 528062
650 1 4 $a Python. $3 1115944
650 2 4 $a Computer Science, general. $3 669807
650 2 4 $a Professional Computing. $3 1115983
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484264546
776 0 8 $i Printed edition: $z 9781484264560
776 0 8 $i Printed edition: $z 9781484267516
856 4 0 $u https://doi.org/10.1007/978-1-4842-6455-3
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)