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FLUENT PYTHON PDF

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Python's simplicity lets you become productive quickly, but this often means you aren't using everything it has to offer. With this hands-on guide, you'll learn how. This books (Fluent Python: Clear, Concise, and Effective Programming [PDF]) Made by Luciano Ramalho About Books Python's simplicity lets. Editorial Reviews. From the Author. Who This Book Is For This book was written for practicing Python programmers who want to become proficient in Python 3.


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translate python documents to Chinese for convenient reference 简而言之,这里 用来存放那些Python文档君们,并且尽力将其翻译成中文~~. Nutshell Handbook, the Nutshell Handbook logo, and the O'Reilly logo are registered trademarks of O'Reilly. Media, Inc.!!FILL THIS IN!! and related trade dress. Fluent Python Programming in Python 3: A Complete Introduction to the Python Language Gray hat Python: Python programming for hackers and reverse.

Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. He has led software development teams and taught Python courses in Brazilian media, banking, and government sectors. All rights reserved. Printed in the United States of America.

A lot of it applies to other languages notably JavaScript.

Part IV continues the theme of looking at the way objects are used with a look at Object-Oriented Idioms. We start off with a topic that is a pet subject of mine - variables are not boxes.

This brings out the distinction between a value and a reference. If you think in terms of variables being references then everything makes sense. This I agree with but I still prefer to think of variables as boxes that store things - just they store different types of things, values and references.

Fluent Python - PDF Drive

There is, of course, a lot more than this in this section - interfaces, multiple inheritance, operator overloading an more. Part V is called Control Flow and it deals with what you might call non-standard alternatives to control statements.

Python supports iterables, iterators and generators which are familiar from other languages but it also has context managers, coroutines, futures and async which are arguably not so common.

The final part of the book is called Metaprogramming but you might be forgiven for thinking that much of the earlier part of the book was a bit "meta". In this case the meaning is how you can implement dynamic properties and attributes and make use of metaclasses.

Python pdf fluent

If you have only "just used" Python then it also makes you see that it isn't the random collection of language features that some criticise it for being. Part II is on Data Structures and covers sequences, tuples, dictionaries, sets and text and bytes.

At the end of reading it you will no longer be mystified as to why Python has tuples and Unicode will no longer frighten you - ok it will but not quite as much. Part III is called Functions as Objects and it covers why any language, Python in particular that has first class functions needs to do things differently.

Python pdf fluent

We start off with a discussion of what a first class function is and then move on to how this changes the classical design patterns. This is deep and certainly deserves to be better known. A lot of it applies to other languages notably JavaScript.

Fluent Python Clear Concise and Effective Programming

Part IV continues the theme of looking at the way objects are used with a look at Object-Oriented Idioms. We start off with a topic that is a pet subject of mine - variables are not boxes.

This brings out the distinction between a value and a reference. If you think in terms of variables being references then everything makes sense.

Python pdf fluent

Iterables, Iterators, and Generators Sentence Take 1: Bad Idea Sentence Take 3: A Lazy Implementation Sentence Take 5: A Generator Expression Generator Expressions: When to Use Them Another Example: Concurrency with Futures Example: Concurrency with asyncio Thread Versus Coroutine: A Comparison asyncio.

Metaprogramming Attribute Descriptors Descriptor Example: Attribute Validation LineItem Take 3: Support Scripts Chapter 3:

Python pdf fluent