从专家视角掌握Python 3.5编程：实践与进阶

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"《精通Python编程》是一本专为希望成为高级Python程序员的读者编写的权威指南。该书第二版由波兰作者Michał Jaworski和Tarek Ziadé合著，以Python 3.5为基础，针对最新的编程实践和进阶概念进行深入讲解。这本英文版教材旨在帮助读者掌握最佳编码技巧，并在实际项目中应用这些知识。本书详细地涵盖了Python语言的核心特性，包括但不限于数据结构、函数式编程、面向对象编程、网络编程、并发处理、数据科学与机器学习等关键领域。作者们以其清晰的笔触和丰富的实践经验，确保读者能够理解并熟练运用Python解决实际问题。《精通Python编程》不仅是一本理论教程，还提供了大量实例和实战项目，让学习者在实践中提升技能。同时，它还强调了代码规范和可读性的重要性，以培养良好的编程习惯。每一章都紧跟最新技术动态，确保读者跟上Python社区的发展步伐。版权方面，此书由Packt Publishing出版，所有权利受到保护。未经事先书面许可，书中内容不得以任何形式复制、存储或传播。尽管出版社已尽力保证信息的准确性，但书中提供的信息不带有任何保证，包括明示或暗示的保修。作者和Packt Publishing及其经销商和分销商不对因本书引起的任何直接或间接损失承担责任。在商标使用方面，Packt Publishing已尽力提供书中提及的所有公司和产品的正确商标信息，通过适当的大小写形式来区分。然而，这并不构成对这些商标所有权的声明或认可。《精通Python编程》是一本全面且实用的Python学习资料，适合从初学者到专业开发者的不同层次的学习者使用，是提升Python技能、拓宽职业发展道路的理想选择。"

Table of Contents

[ ix ]

Using architectural trade-offs 405

Using heuristics and approximation algorithms 405

Using task queues and delayed processing 406

Using probabilistic data structures 410

Caching 411

Deterministic caching 412

Nondeterministic caching 415

Cache services 416

Memcached 416

Summary 419

Chapter 13: Concurrency 421

Why concurrency? 422

Multithreading 423

What is multithreading? 424

How Python deals with threads 425

When should threading be used? 426

Building responsive interfaces 426

Delegating work 426

Multiuser applications 427

An example of a threaded application 428

Multiprocessing 442

The built-in multiprocessing module 445

Using process pools 449

Using multiprocessing.dummy as a multithreading interface 450

Asynchronous programming 451

Cooperative multitasking and asynchronous I/O 452

Python async and await keywords 453

asyncio in older versions of Python 457

A practical example of asynchronous programming 458

Integrating nonasynchronous code with async using futures 461

Executors and futures 462

Using executors in an event loop 464

Summary 465

Chapter 14: Useful Design Patterns 467

Creational patterns 467

Singleton 468

Structural patterns 471

Adapter 472

Interfaces 474

Proxy 487

Facade 489

Preface

[ xii ]

What this book covers

Chapter 1, Current Status of Python, showcases the current state of the Python

language and its community. It shows how Python is constantly changing, why it

is changing, and also why these facts are important for anyone who wants to call

themselves a Python professional. This chapter also features the most popular and

canonical ways of working in Python—popular productivity tools and conventions

that are de facto standards now.

Chapter 2, Syntax Best Practices – below the Class Level, presents iterators, generators,

descriptors, and so on, in an advanced way. It also covers useful notes about Python

idioms and internal CPython types implementations with their computational

complexities as a rationale for showcased idioms.

Chapter 3, Syntax Best Practices – above the Class Level, explains syntax best practices,

but focuses above the class level. It covers more advanced object-oriented concepts

and mechanisms available in Python. This knowledge is required in order to

understand the last section of the chapter, which presents different approaches

to metaprogramming in Python.

Chapter 4, Choosing Good Names, involves choosing good names. It is an extension

to PEP 8 with naming best practices, but also gives tips on designing good APIs.

Chapter 5, Writing a Package, explains how to create the Python package and which

tools to use in order to properly distribute it on the ofcial Python Package Index

or any other package repository. Information about packages is supplemented

with a brief review of the tools that allow you to create standalone executables

from Python sources.

Chapter 6, Deploying Code, aims mostly at Python web developers and backend

engineers, because it deals with code deployments. It explains how Python

applications should be built in order to be easily deployed to remote servers and

what tools you can use in order to automate that process. This chapter dovetails

with Chapter 5, Writing a Package, because it shows how packages and private

package repositories can be used to streamline your application deployments.

Chapter 7, Python Extensions in Other Languages, explains why writing C extensions

for Python might be a good solution sometimes. It also shows that it is not as hard

as it seems to be as long as the proper tools are used.

Chapter 8, Managing Code, gives some insight into how a project code base can be

managed and explains how to set up various continuous development processes.

Chapter 9, Documenting Your Project, covers documentation and provides tips on

technical writing and how Python projects should be documented.

Preface

[ xiii ]

Chapter 10, Test-Driven Development, explains the basic principles of test-driven

development and the tools that can be used in this development methodology.

Chapter 11, Optimization – General Principles and Proling Techniques, explains

optimization. It provides proling techniques and an optimization strategy guideline.

Chapter 12, Optimization – Some Powerful Techniques, extends Chapter 11, Optimization

– General Principles and Proling Techniques, by providing some common solutions to

the performance problems that are often found in Python programs.

Chapter 13, Concurrency, introduces the vast topic of concurrency in Python. It explains

what concurrency is, when it might be necessary to write concurrent applications, and

what are the main approaches to concurrency for Python programmers.

Chapter 14, Useful Design Patterns, concludes the book with a set of useful design

patterns and example implementations in Python.

What you need for this book

This book is written for developers who work under any operating system for which

Python 3 is available.

This is not a book for beginners, so I assume you have Python installed in your

environment or know how to install it. Anyway, this book takes into account the fact

that not everyone needs to be fully aware of the latest Python features or ofcially

recommended tools. This is why the rst chapter provides a recap of common

utilities (such as virtual environments and pip) that are now considered standard

tools of professional Python developers.

Who this book is for

This book is written for Python developers who wish to go further in mastering

Python. And by developers I mean mostly professionals, so programmers who write

software in Python for a living. This is because it focuses mostly on tools and practices

that are crucial for creating performant, reliable, and maintainable software in Python.

It does not mean that hobbyists won't nd anything interesting. This book should be

great for anyone who is interested in learning advance-level concepts with Python.

Anyone who has basic Python skills should be able to follow the content of the book,

although it might require some additional effort from less experienced programmers.

It should also be a good introduction to Python 3.5 for those who are still a bit behind

and continue to use Python in version 2.7 or older.

剩余535页未读，继续阅读

泗哥

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