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.