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Do you want to take your Python to the next level?Python is easy to learn. You can learn the basics in a day and be productive with it. But there are more advanced constructs that you will eventually run across if you spend enough time with it. Don't be confused by these. Learn them, embrace them, and improve your code and others.
Combines Three Guides into one BookThis book is composed of three popular guides:
- Guide to: Functional Python & Comprehension Constructs
- Guide to: Learning Iteration & Generators in Python
- Guide to: Learning Python Decorators
Write Python code like the mastersThese constructs, while not necessary per se, allow you to be more succinct, re-use code, and think about code in a different way. You will learn:
- How the constructs work
- When to use them
- Real life examples from the standard library
This book covers many of these intermediate constructs that are available in Python. The book covers both Python 2 and 3. Topics include:
- Functional programming
- List comprehensions
- Generator expressions
- Set & dict comprehensions
- Iteration
- Generators
- Closures
- Decorators
- Sales Rank: #658916 in Books
- Published on: 2013-06-26
- Original language: English
- Number of items: 1
- Dimensions: 8.00" h x .37" w x 5.00" l, .37 pounds
- Binding: Paperback
- 162 pages
Review
I thought it was intriguing and ended up learning some new tricks that I hope to implement in my own code soon....You'll almost certainly pick up something new just in the first section. If you don't know much about generators, iterators or decorators in Python, then this book will help you figure it out and hopefully give you ideas of how you could use them in your code. I know I learned a few things (and probably re-learned a few others!).- Mike Driscoll - blog.pythonlibrary.org/
Cleaned up some ugly with closures today, after reading @__mharrison__'s decorators ebook.- @MattJDarling
Been meaning to tweet you that Treading on Python 2 was great. The best breakdown of decorators I've seen yet.- @oceankidbilly
About the Author
About Matt Harrison Matt Harrison has over a dozen years of Python experience across the domains of search, build management and testing, business intelligence and storage. He has presented and taught tutorials at conferences such as Strata, SCALE, PyCON and OSCON as well as local user conferences. The structure and content of this book is based off of first hand experience teaching Python to many individuals.
He blogs at hairysun.com and occasionally tweets useful Python related information at @__mharrison__.
Most helpful customer reviews
19 of 19 people found the following review helpful.
Another Great Book From Harrison!
By Mike Driscoll
Matt Harrison's latest book is his best yet. I found the writing to be almost error free with only a smattering of typos here and there, mostly in the 2nd half of the book. The book is split up into 3 sections (not including the Introduction). Harrison doesn't spend time introducing us to Python; instead he assumes you already know it and dives off into the deep end with functional constructs. Thus begins the first section in which he covers lambda, map, reduce, filter, recursion, list, set and dict comprehensions, and finally, the operator module. He used a lot of the topics that followed the lambda to illustrate advanced uses of the lambda construct. I thought it was intriguing and ended up learning some new tricks that I hope to implement in my own code soon.
The 2nd section is devoted to Iteration and Generators. In it, you will learn the difference between iterables and iterators, how to construct a normal generator and an object generator and the author also gives tips about when to use a generator versus a list. He also shows some real life examples of generators and iterators in the Python core. He does this a little in the first section as well.
The 3rd section is all about Functions, Closures and Decorators with a heavy emphasis on the latter. I think this section is a shorter, updated version of his "Guide to: Learning Python Decorators" book actually, as some of the examples looked kind of familiar. Regardless, it was very illuminating. I will admit that the "Alternate Decorator Implementations" section at the end of the book was rather confusing though.
In the end, I think this book is well worth the cost of owning it. You'll almost certainly pick up something new just in the first section. If you don't know much about generators, iterators or decorators in Python, then this book will help you figure it out and hopefully give you ideas of how you could use them in your code. I know I learned a few things (and probably re-learned a few others!).
12 of 13 people found the following review helpful.
Upgrade your Python skills!
By Daniel Roy Greenfeld
I first met Matt Harrison years ago when he gave a great tutorial on decorators and functions at the Southern California Linux Exposition. In less than an hour he managed to get a packed room understanding and writing their own decorators. I took copious notes, and wished there was a book he wrote that I could reference.
Fortunately, this is that book. ;-)
Matt starts with the functional built-ins of Python such as lambda, filter, map, reduce, adds in recursion, then tops it off with list, set, and dict comprehensions. It's great stuff and he explains it well.
The next part of the book delves into iteration and generators. If you know anything about Python's functional capabilities, you know this builds pretty much right off the first part. For me, I found this made the book feel like it built upon itself in a clever, conceptual sort of way.
Finally, the last part is a really nice piece on decorators, which means functions and more functions!
All in all I really liked this book and learned from it. If you have at least a basic understanding of Python and are interested in the language, you owe it to yourself to get this book.
8 of 10 people found the following review helpful.
My guess is that this would be a great series for a programmer fluent in Java or C++ ...
By Giants on the Horizon
In the end, I have learned a lot from the Treading series but, it came with much more work and took more time than I expected for a book of this size. As someone new to many of the concepts of Python, the Treading series often left me needing to fill in the gaps from other resources. My guess is that this would be a great series for a programmer fluent in Java or C++ but, if your background is in more basic scripting languages such as JavaScript, you may want a different book. On the positive side, I felt the order of the chapters and the topic choices were great for getting started.
Finally, once you do get through some basic Python learning, I would highly recommend Python 3 Object Oriented Programming. It was very clear and a great read. Good luck on your journey!
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