Introduction to Programming in Python; Robert Sedgewick, Kevin Wayne, Robert Dondero; 2015
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Introduction to Programming in Python Upplaga 1

av Robert Sedgewick, Kevin Wayne, Robert Dondero
Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it.

 

Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience.

 

This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science.

 

Coverage includes

Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound

Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused

Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more

Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables

Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3

Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.
Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it.

 

Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience.

 

This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science.

 

Coverage includes

Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound

Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused

Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more

Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables

Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3

Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.
Upplaga: 1a upplagan
Utgiven: 2015
ISBN: 9780134076430
Förlag: Addison-Wesley Professional
Format: Inbunden
Språk: Engelska
Sidor: 792 st
Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it.

 

Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience.

 

This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science.

 

Coverage includes

Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound

Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused

Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more

Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables

Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3

Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.
Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it.

 

Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience.

 

This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science.

 

Coverage includes

Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound

Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused

Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more

Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables

Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3

Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.
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