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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.
- Sales Rank: #153155 in eBooks
- Published on: 2015-05-27
- Released on: 2015-05-27
- Format: Kindle eBook
About the Author
Robert Sedgewick is the William O. Baker professor of computer science at Princeton University. He has held visiting research positions at several advanced research laboratories and serves on the Adobe Systems board. He is also the coauthor (with Kevin Wayne) of Introduction to Programming in Java and Algorithms, Fourth Edition (both from Addison-Wesley).
Kevin Wayne is the Phillip Y. Goldman senior lecturer in computer science at Princeton University, where he has taught since 1998. He is an ACM Distinguished Educator and holds a Ph.D. in operations research and industrial engineering
from Cornell University.
Robert Dondero is a lecturer in computer science at Princeton University. He has taught there since 2001, earning eight excellence in engineering education awards, and a lifetime achievement award for excellence in teaching. He holds
a Ph.D. in information science and technology from Drexel University.
Most helpful customer reviews
6 of 6 people found the following review helpful.
Great way to start programming
By Shanmuga
Prof Sedgewick's books have always been the best resource to learn algorithms. One of the best books for beginners with a great companion website: http://introcs.cs.princeton.edu/python . This book is a prelude to those advanced books which use Python and contains a lot of interesting programming problems. I have adopted this book for the basic course I am teaching this semester. The price of the book is extremely high which might hamper the book being used widely.
15 of 19 people found the following review helpful.
Odd Selection of Authors for Such a Great Topic
By Bob Monroe
This book was written by three very distinctly different authors, which had it's own bipolar quality to it. One of the authors is quite technical and enjoys digging deep into Python with the enthusiasm of a puppy with a new ball. Another author likes to show the readers how to create and play games using Python and has a great flare for taking the pages from simple steps to wonderful creations. The last author is the grumpy professor that just just want you to shut up and listen to his lecture. That author knows way too much about Python but not enough about teaching new learners.
In a weird way, it all balances out.
It's like the old good cop, bad cop, psychopath cop thing.
There is quite a bit of math in this book but then again, most programming books are heavy into functions, arrays, patterns and other mind numbing topics. Thanks to the bipolar nature of the writers, the reader isn't overburdened with too much math at any given time. The math also builds on itself to show you how you get from point A to point 74.b14 of quadrant strray.create.id [i+j]. See how easy that is?
I'm not a math guy, which is why I have too many speeding tickets and spend too much at the grocery store. I did enjoy this book, though. This is a computer science book written from an academic community that just so happens to cover Python. In my opinion, if you really want to learn Python, you should look at another book. This is the type of book you get assigned in school, not one you buy because you want to learn how to code.
Python is a hackers language. It is simple, clean and easy to work with. This book makes it appear to much more complicated than it needs to be. Sure, the games are fun to work through and the theory portions are nice to know but it doesn't get into the heart of Python's strengths as a language.
Introduction to Programming in Python gives a great overview of some simple possibilities built into the language but it doesn't show you the real engine under the hood of that monster car. If I were looking at a method for learning Python by reading books, I would place this one as my third or forth book to read. It is almost a reference book because it tries to sell specific parts of Python to an academic audience. Most of the Python folks I know would not be interested in this book unless they were teaching first or second year college course on Python.
There are examples on how to build vector drawings, find the quickest path through a maze, validating a doubling hypothesis and sorting (lots of sorting). I thought I was at the laundromat doing all that sorting. The authors included plenty of code to tool around with. Some of the critical parts of the code are listed on the authors web site.
Note to authors around the world: Don't put important parts of your book on a public web site because books get passed down and often have a longer life expectancy than you web site. Missing code sucks, give us a CD or even a micoSD card that has the code on it.
Expect to find the usual exercises at the end of each chapter. This seems to be the formula for all books these days. I was reading Green Eggs and Ham with my daughter and there were practice questions plug in there too.
The book sits at 771 pages and is well written but would not be my first choice for learning Python. The charts and diagrams helped to illustrate information but nothing spectacular. I do like green eggs myself.
5 of 6 people found the following review helpful.
Loved the treatment of CS1
By JacobeanEra
I came across this book by coincidence - I was taking a refresher course on Algorithms via coursera, and needed to buy the Sedgewick's Algorithms book.I saw this book during my search, and jumped at the chance, mostly because I was keen to pick up Python, and more importantly refresh myself with CS1. The book did not disappoint, it's thoughtfully written, provides great explanations, and some wonderful examples/problems from various disciplines. Sedgewick et al, makes this learning experience superb in my opinion. I hope they produce their famous Algorithms book in Python too.
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