Free Ebook Introducing Python: Modern Computing in Simple Packages
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Introducing Python: Modern Computing in Simple Packages
Free Ebook Introducing Python: Modern Computing in Simple Packages
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Easy to understand and fun to read, Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned.You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.Learn simple data types, and basic math and text operationsUse data-wrangling techniques with Python’s built-in data structuresExplore Python code structure, including the use of functionsWrite large programs in Python, with modules and packagesDive into objects, classes, and other object-oriented featuresExamine storage from flat files to relational databases and NoSQLUse Python to build web clients, servers, APIs, and servicesManage system tasks such as programs, processes, and threadsUnderstand the basics of concurrency and network programming
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Product details
Paperback: 484 pages
Publisher: O'Reilly Media; 1 edition (December 4, 2014)
Language: English
ISBN-10: 1449359361
ISBN-13: 978-1449359362
Product Dimensions:
7 x 1 x 9.2 inches
Shipping Weight: 1.7 pounds (View shipping rates and policies)
Average Customer Review:
4.4 out of 5 stars
72 customer reviews
Amazon Best Sellers Rank:
#33,477 in Books (See Top 100 in Books)
I'd agree with the comments made by others. It's really an excellent introduction to the language, done in a very modern way, which is to recognize that most coding is now done by gluing together modules. Because this book takes that approach, and uses the modules as a foil for teaching you how to code in a Pythonic way, you really learn two things at once.If you have any coding experience, and want to get up and running quickly, this is a great book, and even a good reference for later projects as they arise.And yes, "Learning Python" is really awful (both on its own terms, and in comparison to this). This is a MUCH better place to start. (What happened there anyway O'Reilly, I mean Learning Perl is THE book.BACKGROUND: I'm an experienced coder, having learned C and C++ years ago, giving them up when I learned Perl, and figured I'd never parse a file byte-by-byte ever again. I learned Ruby more recently, but got into some heavy math/statistics/image analysis, and saw that Python had the best supported science/math libraries by far. So I had to learn it. In spite of the fact that I think regular expressions are far harder in Python then they need to be, I see the advantages that other list. But most of all, most of all, it's about the available modules. CPAN is what made Perl unbeatable back in the day, and Python is the modern-day heir to that legacy. This book does a good job recognizing that and making you fluent in the language and it's highest profile modules at the same time. Highly recommended. (And no, you can't borrow my copy).
The book does a nice job of showing how to use the basic aggregate data types (tuple, list, set, and dictionary) and performing basic operations on them. However, little was said about "copying objects" (for instance, shallow copy versus deep copy) and I believe this is an important omission. This sort of characterizes the "short cuts" taken by the book. I think that it is due to the limited supply of books on Python,that this book is getting a higher rating from readers than I believe it deserves in the whole realm of books on programming. At best, I would rate it 7 out of 10 among programming related books--because it is so "loose". It seems to be based upon David Beazley's, "Python Essential Reference", published 5 years before this book (at least, the outline is similar and a great number of the examples in the book appear there). Beazley's book is definitely a "5-star" book, but it is much more dense than this one (but an experienced programmer will appreciate this), so I doubt it should be the starting point in learning about Python. The "while...else" construct was totally-inadequately introduced here. In fact, it was only explained in the context of a while loop containing a break statement. (but it was not hard to locate a clear description online). In retrospect, I can see that this error was perhaps caused by the author's use of copy and paste in copying from the "essential reference". I agree with others that this is not an appropriate book for total beginners (as beginners need to be taught "how to create algorithms"). The book is suitable as a "quick read" for readers who already possess some programming experience, and the author provides numerous suggestions as where to go for information on various topics. The discussion of the use of user-defined classes and inheritance is quite brief. Thus, "Introducing Python" is a fair title for the book. This was my first book on Python, and it helped me to start thinking "pythonicly" in about a week. Now, after the "introduction" I got from this book, i am reading the "essential reference". Concerning the authors "wit": For me, it got tedious. His approach might be rationalized by the fact that the author's stated target audience ("anybody--even those without programming experience") and the people who can and will benefit the most from a book like this, are perhaps different. At critical junctures, the author backs away from important details by telling a joke instead of providing an articulate explanation. Toward the end, I was predicting, with some accuracy, when the jokes would occur. An enjoyable feature of this book is that it considers a wide variety of topics, many only lightly. But this helps to make it interesting.
This book is probably best for someone who has either programmed in other languages or has previously read a beginner book on python. This was my third on python and I found that it filled out the prior gaps in my knowledge while reinforcing the basics.The pacing appears designed for serious learners who will either understand the material the first time around or take the time to search for more extensive answers online. The pacing and conciseness of the book may be excessive for true beginners. This book could also be fairly useful as a reference because most of the chapters can stand on their own, although I found it best to work through in the order presented.The problems provide effective drills without being excessively difficult. The author was good at explaining the contexts in which certain aspects of the language may be useful. He was also better than most technical authors about not assuming, by mistake or otherwise, a prior understanding of details or terms of art.
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