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Write smarter, bug-free, high performance code with minimal effort

Uncover the best tools and options available to Python developers today

Deploy decorators, design patters, and various optimization techniques to use Python 3.5 effectively

Description

Python is a versatile programming language that can be used for a wide range of technical tasks—computation, statistics, data analysis, game development, and more. Though Python is easy to learn, it’s range of features means there are many aspects of it that even experienced Python developers don’t know about. Even if you’re confident with the basics, its logic and syntax, by digging deeper you can work much more effectively with Python – and get more from the language. Python Unlocked walks you through the most effective techniques and best practices for high performance Python programming - showing you how to make the most of the Python language. You’ll get to know objects and functions inside and out, and will learn how to use them to your advantage in your programming projects. You will also find out how to work with a range of design patterns including abstract factory, singleton, strategy pattern, all of which will help make programming with Python much more efficient. Finally, as the process of writing a program is never complete without testing it, you will learn to test threaded applications and run parallel tests. If you want the edge when it comes to Python, use this book to unlock the secrets of smarter Python programming.

What you will learn

Manipulate object creation processes for instances, classes, and functions

Use the best possible language constructs to write data structures with super speed and maintainability

Make efficient use of design patterns to decrease development time and make your code more maintainable

Write better test cases with an improved understanding of the testing framework of Python and unittests, and discover how to develop new functionalities in it

Write fully-optimized code with the Python language by profiling, compiling C modules, and more

Unlock asynchronous programming to build efficient and scalable applications

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Eduardo j. Morales Jan 16, 2016

The inners of the interpreter are explained clearly and mind opening to more. Concise and specific.

Amazon Verified review

Jascha Casadio Jul 23, 2016

And yet another Python book. Being such a clean and flexible has brought this 20 years old programming language to be one of the hottest ones out there. Like it or not, most of the active repositories on GitHub are on Python. This is also confirmed by multiple sources listing the most demanded programming languages in the IT world. We Pythonists are lucky because, apart from a nice documentation, there is plenty of books to pick from, even though most of them cover basic features of the language. Python Unlocked does not belong to this large group of titles and focuses itself on intermediate topics.Released at the end of 2015, Python Unlocked is a short book targeting that niche of Pythonists interested in intermediate to advanced topics, such as decorators, abstract classes and unit testing.Let's dive into the content!The very first things that comes to the eye of the reader is poor English writing skills. True, Packt Publishing does not offer authors any kind of proofreading service but someone should at least check if articles are present. The reader, sometimes after a second pass through the sentence, can still grasp what the author wanted to say, but this definitely lowers the overall quality of the title.English apart, the choice of topics somehow got me raising an eyebrow in doubt: abstract classes are definitely a subject an intermediate Python developer wants to know of, but the MRO is probably misplaced here. Unless you are going to work in the core of the language itself, and are smart enough to prefer mixins to multiple inheritance, you can definitely live without knowing about it.Unnecessary complexities are present everywhere. So are unclear explanations. For example, the book starts discussing the internals of an object. The author states When an attribute is searched in an object first, it is searched in its dictionary then its type's (base class's) dictionary. Fine, but what is that __dict__ that I see everywhere? Either you introduce me to it, and explain me what it is or, if I am supposed to know what it represents already then the whole chapter is superfluous.Let's continue. Decorators are callable objects, which replace the original callable objects with some other objects. This is not correct. A decorator can replace the original callable with another one, but it must not. No words about decorators with a variable number of arguments, which is a very interesting aspect of decorators. Only later on, paged ahead, the author dedicates a couple of lines explaining functools.wrap.The examples are usually very short, Hello world! like pieces of code, whose functions are given names like f1, f2 and foo and whose body does little more than print('adf').Overall, a poor effort. The concepts are not properly explained and the examples are too short and focused on unnecessary complexities. Anyone interested in intermediate to advanced Python topics should pick any of the following titles, instead:Fluent PythonEffective Python: 59 Specific Ways to Write Better PythonAs usual, you can find more reviews on my personal blog: books.lostinmalloc.com. Feel free to pass by and share your thoughts!

Python Unlocked: Become more fluent in Python—learn strategies and techniques for smart and high-performance Python programming

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Python Unlocked

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