Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Kurv

Python Programming with Design Patterns

Af: James Cooper Engelsk Paperback

Python Programming with Design Patterns

Af: James Cooper Engelsk Paperback
Tjek vores konkurrenters priser

Improve Your Python Code with Modern Object-Oriented Design Patterns

To write clean, efficient, maintainable code, developers everywhere turn to design patterns. Now there''s a Python-specific patterns guide that''s friendly and practical enough for every Python developer, regardless of experience.

Best-selling patterns author James W. Cooper presents visual, example-driven explanations of 23 proven patterns for writing superior object-oriented code. Through clear and intuitive code samples, he introduces modern techniques for creating Python objects that interact effectively in powerful, flexible programs. Python newcomers--including those moving from other languages--will find a succinct introduction designed to get them up to speed fast.

Cooper''s wide-ranging patterns coverage addresses abstract classes, multiple inheritance, GUI programming and widgets, graphical classes, drawing and plotting, math, databases, Python decorators, images, threads, iterators, creating executable code, and more. Throughout, his informal visual presentation makes patterns far easier to work with--so you can confidently build sophisticated programs that use Python''s rich capabilities.

  • Review the essentials of Python objects and visual programming
  • Learn what design patterns are, and how they help you write better code
  • Use creational patterns to enhance flexibility and avoid unnecessary complexity
  • Apply structural patterns to ensure that program elements work together well in large programs
  • Optimize communication between objects with behavioral patterns

Tjek vores konkurrenters priser
Normalpris
kr 412
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

Improve Your Python Code with Modern Object-Oriented Design Patterns

To write clean, efficient, maintainable code, developers everywhere turn to design patterns. Now there''s a Python-specific patterns guide that''s friendly and practical enough for every Python developer, regardless of experience.

Best-selling patterns author James W. Cooper presents visual, example-driven explanations of 23 proven patterns for writing superior object-oriented code. Through clear and intuitive code samples, he introduces modern techniques for creating Python objects that interact effectively in powerful, flexible programs. Python newcomers--including those moving from other languages--will find a succinct introduction designed to get them up to speed fast.

Cooper''s wide-ranging patterns coverage addresses abstract classes, multiple inheritance, GUI programming and widgets, graphical classes, drawing and plotting, math, databases, Python decorators, images, threads, iterators, creating executable code, and more. Throughout, his informal visual presentation makes patterns far easier to work with--so you can confidently build sophisticated programs that use Python''s rich capabilities.

  • Review the essentials of Python objects and visual programming
  • Learn what design patterns are, and how they help you write better code
  • Use creational patterns to enhance flexibility and avoid unnecessary complexity
  • Apply structural patterns to ensure that program elements work together well in large programs
  • Optimize communication between objects with behavioral patterns

Produktdetaljer
Sprog: Engelsk
Sider: 352
ISBN-13: 9780137579938
Indbinding: Paperback
Udgave:
ISBN-10: 0137579934
Udg. Dato: 23 feb 2022
Længde: 22mm
Bredde: 232mm
Højde: 371mm
Forlag: Pearson Education (US)
Oplagsdato: 23 feb 2022
Forfatter(e): James Cooper
Forfatter(e) James Cooper


Kategori Objektorienteret programmering


ISBN-13 9780137579938


Sprog Engelsk


Indbinding Paperback


Sider 352


Udgave


Længde 22mm


Bredde 232mm


Højde 371mm


Udg. Dato 23 feb 2022


Oplagsdato 23 feb 2022


Forlag Pearson Education (US)

Kategori sammenhænge