Dettagli del libro
Formato
Kindle
Pagine
793
Lingua
Inglese
Pubblicato
May 27, 2015
Editore
Addison-Wesley Professional
Descrizione
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 variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data objects, modularity, encapsulation, and more Algorithms and data 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.
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 variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data objects, modularity, encapsulation, and more Algorithms and data 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.
Generi
Scienza e Tecnologia