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Starting Out with Python (4th Edition)
Ebook Free Starting Out with Python (4th Edition)
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About the Author
Tony Gaddis is the principal author of the Starting Out With series of textbooks. Tony has nearly two decades of experience teaching computer science courses, primarily at Haywood Community College. He is a highly acclaimed instructor who was previously selected as the North Carolina Community College “Teacher of the Year” and has received the Teaching Excellence award from the National Institute for Staff and Organizational Development. The Starting Out With series includes introductory books covering C++, Java™, Microsoft® Visual Basic®, Microsoft® C#®, Python®, Programming Logic and Design, Alice, and App Inventor, all published by Pearson. More information about all these books can be found at www.pearsonhighered.com/gaddisbooks.
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Product details
Paperback: 744 pages
Publisher: Pearson; 4 edition (March 16, 2017)
Language: English
ISBN-10: 0134444329
ISBN-13: 978-0134444321
Product Dimensions:
8 x 1.2 x 10 inches
Shipping Weight: 2.6 pounds (View shipping rates and policies)
Average Customer Review:
4.2 out of 5 stars
113 customer reviews
Amazon Best Sellers Rank:
#40,247 in Books (See Top 100 in Books)
This book is very good for beginners that wants to learn programming ! Better than Zed Shaw's Learn Python the Hard Way, because you are learning and understanding the concepts, instead of just coding without knowing the definitions of Strings, def, tuples, lists, dictionaries.Before you jump into other programming languages, learn Python first. because it is simple and you will get the structure/basics/concepts of how programming works! Then once you learn Python and get the hang of it, other programming languages will make a lot of sense.This book is very simple, breaks it down by chapters/lessons. It is easy to follow and helps you understands the concepts/basics. It has a mix of readings and examples. Programming exercises and Homework at the end of the chapter helps a lot! Do them. instead of just reading the book and skimming! if you do get stuck, there are many resources, You-Tube videos out there to help you.
Okay first of all, if you are me and have ZERO knowledge of programming before reading this book: continue with this review. If, however, you know a decent amount about programming: this review is not going to help you (in my opinion).PROS: This book is SO DETAILED, that I was able to teach myself programming on python. I DO NOT learn from books...EVER. But, I took this class online and there were no notes. This book is incredible, and if I managed to get a perfect score on every program I did from just reading this book...THEN YOU CAN TOO. P.S. I go to U of M (go blue) so do not think that this was an easy feat...IT WAS THE BOOK!CONS: Honestly, not many. The only one that sticks out, is if you know a lot about programming already, this book will do squat for you. It does not show incredibly advanced programs, just the main parts about python.My recommendation is that the book is fairly cheap and very good so buy it.ONE LAST THING AND THE MOST IMPORTANT THING!!!!Buy it USED!I got suckered into buying a more expensive one because it came with that "KEY" that comes with the book. The "KEY" is just the download for python: which is a FREE SOFTWARE! I didn't even use the key. Still unsure...look it up, just to be safe in case I'm an idiot (but seriously, look it up so you don't feel like you took advice that may backfire on you, always good to be on the safe side). Good luck in your choice :)
Meh.. The university program for data analysis required this book for students who are new to programming. I taught two different grade levels. It is so so for grad students who never programmed. I had more success teaching from my notes with jupyter notebooks. The book would be much better for High School students. The book is an ok intro to python 3, but the instructor will have to supplement a lot of material and mention differences between python 2.7.x and 3.xThe authors don't mention comprehensions or iterables which I found surprising. They have left much out - too much. They do a decent job on python's object model.For upper level tyros, it is a bit too low level.
Great book for getting into the Python script language. In many cases, it seemed like the author would ramble on and talk "about" key information, but not really "get to the point." However, that may be a personal thing with me. If you have an ArcGIS license with a maintenance agreement, complete this book and then take all the Python courses you can find for free via ESRI. The combination of those two sources was great!Gaddis covers a lot of information that may not be, in itself, critical to the "how" part of learning, but provides a more in-depth understanding of what it going on... sometimes not so "to the point". the ESRI courses go straight to the point, and can nail down what you can learn from Gaddis.Overall, a very good text and reference!
Great job of explaining not only python, but basic programming fundamentals. Good for beginners.
Thank you Tony Gaddis for these amazing books. First I studied ( starting out with programming logic and design book) and wow!!! Loved loved it and that made me love programming and CS, then I studied this one and I loved it. After getting familiar with Python I think I will either get JAVA or C++ book from the same series. I love the programming exercises at the end of each chapter, and I love his style of organizing the book (introduction,then example,then explanation for the example). Thank you
This book is suitable for those beginners who are comfortable learning from books. It is consistent with how colleges teach it at a fairly easy college. In general, Gaddis is a good author for programming and computer skills textbooks for beginners. The more recent of his textbooks are a little on the expensive side. This is a looseleaf, so it is a little cheaper than the conventional editions.
This is a good intro to Python book, and I would recommend it for anyone who wants an overview of Python. It's definitely suitable for people new(er) to programming, but still worth a casual read for experienced coders and I've found it to be a nice reference; however, if you are experienced, have an idea of what you want to do, and have more time on hand than extra cash, you can save some money by just reading through the abundance of documentation at python.org.
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