國立虎尾科技大學 |

Python Graphics = A Reference for Creating 2D and 3D Images /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Python Graphics/ by B.J. Korites.
Reminder of title:	A Reference for Creating 2D and 3D Images /
Author:	Korites, B.J.
Description:	XIII, 363 p. 164 illus., 109 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language). -
Online resource:	https://doi.org/10.1007/978-1-4842-3378-8
ISBN:	9781484233788

Python Graphics = A Reference for Creating 2D and 3D Images /
Korites, B.J.

Python GraphicsA Reference for Creating 2D and 3D Images /[electronic resource] :by B.J. Korites. - 1st ed. 2018. - XIII, 363 p. 164 illus., 109 illus. in color.online resource.

Chapter 1: Essential Python Commands and Functions -- Chapter 2: Graphics in 2-Dimensions -- Chapter 3: Graphics in 3-Dimensions -- Chapter 4: Perspectives -- Chapter 5: Intersections -- Chapter 6: Hidden Line Removal -- Chapter 7: Shading -- Chapter 8: 2D Data Plotting -- Chapter 9: 3D Data Plotting -- Chapter 10: Demonstrations -- Chapter 11: Appendix A: Where to Get Python -- Chapter 12: Appendix B: Planck's Radiation Law and the Stefan-Boltzmann Equation.

Use Python's built-in features to create innovative graphics for data visualization and technical illustrations. This book goes beyond simple commands and libraries to explain how to not only display but also rotate, shade, and edit graphics for any purpose. Starting with the essential Python functions to set up a plotting space and produce 2 and 3-dimensional objects, you'll learn how to construct more complex objects, translate and rotate them, remove hidden lines, introduce shading to add realism, and project images to visualize any dataset. The final chapter includes several worked applications in science and engineering including planetary models, which you can adapt for your own use. Written for developers who want to harness Python's capabilities to fine-tune their images, Python Graphics covers the different commands for plotting dots, lines, arrows, or arcs, creating custom plotting grids, correcting distortions, adding text and labels to illustrations, manipulating arcs and circles, specify and use colors, and more. Armed with these techniques and core math skills, you'll be ready to create and customize detailed technical illustrations or data visualizations. .

ISBN: 9781484233788

Standard No.: 10.1007/978-1-4842-3378-8doiSubjects--Topical Terms:

1127623
Python (Computer program language).

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Python Graphics = A Reference for Creating 2D and 3D Images /
LDR:03021nam a22003975i 4500 001 995047
003 DE-He213
005 20200630114505.0
007 cr nn 008mamaa
008 201225s2018 xxu| s |||| 0|eng d
020 $a 9781484233788 $9 978-1-4842-3378-8
024 7 $a 10.1007/978-1-4842-3378-8 $2 doi
035 $a 978-1-4842-3378-8
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 Korites, B.J. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1206688
245 1 0 $a Python Graphics $h [electronic resource] : $b A Reference for Creating 2D and 3D Images / $c by B.J. Korites.
250 $a 1st ed. 2018.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a XIII, 363 p. 164 illus., 109 illus. in color. $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: Essential Python Commands and Functions -- Chapter 2: Graphics in 2-Dimensions -- Chapter 3: Graphics in 3-Dimensions -- Chapter 4: Perspectives -- Chapter 5: Intersections -- Chapter 6: Hidden Line Removal -- Chapter 7: Shading -- Chapter 8: 2D Data Plotting -- Chapter 9: 3D Data Plotting -- Chapter 10: Demonstrations -- Chapter 11: Appendix A: Where to Get Python -- Chapter 12: Appendix B: Planck's Radiation Law and the Stefan-Boltzmann Equation.
520 $a Use Python's built-in features to create innovative graphics for data visualization and technical illustrations. This book goes beyond simple commands and libraries to explain how to not only display but also rotate, shade, and edit graphics for any purpose. Starting with the essential Python functions to set up a plotting space and produce 2 and 3-dimensional objects, you'll learn how to construct more complex objects, translate and rotate them, remove hidden lines, introduce shading to add realism, and project images to visualize any dataset. The final chapter includes several worked applications in science and engineering including planetary models, which you can adapt for your own use. Written for developers who want to harness Python's capabilities to fine-tune their images, Python Graphics covers the different commands for plotting dots, lines, arrows, or arcs, creating custom plotting grids, correcting distortions, adding text and labels to illustrations, manipulating arcs and circles, specify and use colors, and more. Armed with these techniques and core math skills, you'll be ready to create and customize detailed technical illustrations or data visualizations. .
650 0 $a Python (Computer program language). $3 1127623
650 0 $a Computer graphics. $3 561602
650 1 4 $a Python. $3 1115944
650 2 4 $a Computer Graphics. $3 669895
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484233771
776 0 8 $i Printed edition: $z 9781484233795
776 0 8 $i Printed edition: $z 9781484246801
856 4 0 $u https://doi.org/10.1007/978-1-4842-3378-8
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)