Introduction To Programming In Python
An Interdisciplinary Approach
Today, everyone in the sciences, engineering, and related disciplines needs at least basic programming skills. Python is an ideal language to start with, and this broad-based, application-driven guide is the perfect guide to learn it from. Princeton's Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an easy, intelligent, broad-based introduction to programming that draws on a wide spectrum of relevant applications from science, mathematics, engineering, and commercial computing.
Introduction to Programming in Python: An Interdisciplinary Approach emphasizes interesting and important problems, not toy applications. The authors focus on Python's most useful and significant features, rather than aiming for exhaustive coverage that bores novices. All of this book's code has been crafted and tested for compatibility with both Python 2 and Python 3, making it relevant to every programmer and any course, now and for many years to come. Step by step, readers will learn:
- Core programming concepts such as data types, conditionals, loops, arrays, and I/O
- How to use Python functions and modules
- The essentials of object-oriented programming
- How to use algorithms and data structures to improve performance, handle sorts and searches, and perform many other tasks
- Graphics, image processing, and sound processing, via easy-to-use modules created for this book
Sedgewick and Wayne, authors of the worldwide bestseller Algorithms, have an extraordinary track record in introducing newcomers to programming and computer science. In Introduction to Programming in Python, they've done it for a whole new generation.
|Titel:||Introduction To Programming In Python|
|auteur:||Sedgewick, Robert; Wayne, Kevin; Dondero, Robert|
|Uitgever:||Pearson Education (us)|
|Afmetingen:||196 x 239 x 33|
Section 2. Functions and Modules
Section 3. Object-Oriented Programming
Section 4. Algorithms and Data Structures
All sections conclude with Q-and-A, Exercises, and Creative Exercises.