Python数据挖掘实战：利用Boost库解决实际问题

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"《Learning.Boost.Cplusplus.Libraries.1783551216》是一本面向数据挖掘初学者的实用指南，它利用Python的强大功能来探索和分析数据，帮助读者在实际项目中应用数据挖掘技术。本书不仅介绍了数据挖掘的基本概念，还深入探讨了如何通过Python的各种库，如IPython Notebook、pandas、scikit-learn和NLTK等，进行复杂的数据类型处理，如文本、图像和图结构分析。章节内容丰富多样，包括使用scikit-learn进行分类、基于决策树预测体育比赛结果、通过协同过滤推荐电影、利用Transformer提取特征、从社交媒体数据中获取见解、使用图矿法发现值得关注的账户、对抗验证码的神经网络、作者身份鉴定、新闻文章聚类、图像识别中的深度学习应用，以及如何处理大数据。每章都通过实际操作演示如何解决现实生活中的问题，并鼓励读者设计和开发具有实际应用价值的数据挖掘项目。书中强调了可重复性和稳健性，确保读者能够建立可复现的实验并获得可靠的结果。此外，作者还提供了进一步学习的路径，引导读者在掌握了本书内容后继续深化对数据挖掘的理解和实践。版权方面，此书受2015年Packt Publishing出版，所有权利保留，未经版权所有者书面许可，不得复制、存储或通过任何形式或媒介传播。尽管作者和出版社已经尽力确保信息的准确性，但书中提供的信息并不保证无误，且不承担因使用本书导致的直接或间接损失的责任。《Learning.Boost.Cplusplus.Libraries》是一本全面的指南，旨在帮助编程人员掌握Python在数据挖掘领域的应用技巧，无论是初学者还是有经验的开发者，都能从中获益匪浅。"

Table of Contents

[ vii ]

Concurrent execution via thread pools 434

io_service::work 436

Serialized and ordered execution via strands 437

Network I/O using Asio 441

UDP and TCP 441

IP addresses 442

IPv4 addresses 442

IPv6 addresses 445

Endpoints, sockets, and name resolution 448

Ports 448

Sockets 448

Hostnames and domain names 449

Buffers 452

Buffer sequences for vectored I/O 453

Synchronous and asynchronous communications 455

Asio deadline timer 455

Asynchronous logic using Asio coroutines 458

UDP 461

Synchronous UDP client and server 461

Asynchronous UDP server 464

Performance and concurrency 470

TCP 474

Establishing a TCP connection 474

Synchronous TCP client and server 475

Asynchronous TCP server 480

Self-test questions 489

Summary 491

References 491

Appendix: C++11 Language Features Emulation 493

RAII 493

Copy semantics 495

The nothrow swap 498

Move semantics and rvalue references 499

rvalue references 501

rvalue-reference overloads 503

Move assignment 504

xvalues 505

Move emulation using Boost.Move 507

C++11 auto and Boost.Auto 511

Type deduction rules 512

Common uses 512

Boost.Auto 513

[ ix ]

Preface

Boost is not just a collection of useful, portable, generic C++ libraries. It is an

important incubator for ideas and concepts that make their way to the ISO C++

Standard itself. If you are involved in the development of software written in C++,

then learning to use the Boost libraries would save you from reinventing the wheel,

improve the quality of your software, and very likely push up your productivity.

I rst came across the Boost libraries a decade ago, while looking for a portable

C++ regular expressions library. Over the next couple of days, porting Perl and Korn

Shell text-processing code to C++ became a breeze, and I took an instant liking to

Boost. In using many more Boost libraries to write software since then, I often found

myself digging deep into the documentation, or asking questions on the mailing list

and online forums to understand library semantics and nuances. As effective as that

was, I always sorely missed a book that would get me started on the most useful

Boost libraries and help me become productive faster. This is that book.

Boost has a wide array of libraries for solving various kinds of programming tasks.

This book is a tutorial introduction to a selection of over of the most useful libraries

from Boost to solve programming problems effectively. The chosen libraries represent

the breadth of cross-cutting concerns from software development, including data

structures and algorithms, text processing, memory management, exception safety,

date and time calculations, le and directory management, concurrency, and le and

network I/O, among others. You will learn about each library by understanding the

kind of problems it helps solve, learning the fundamental concepts associated with

it, and looking at a series of code examples to understand how the library is used.

Libraries introduced earlier in this book are freely used in later examples, exposing

you to the frequent synergies that occur in practice between the Boost libraries.

Preface

[ x ]

As a collection of peer-reviewed, open source libraries, Boost draws heavily from

community expertise. I rmly believe that this book will give you a strong practical

foundation in using the Boost libraries. This foundation will reect in the quality

of the software you write, and also give you the leverage to engage with the Boost

community and make valuable contributions to it.

What this book covers

Chapter 1, Introducing Boost, discusses how to set up a development environment to

use the Boost libraries. We cover different ways of obtaining Boost library binary

packages, building them from source for different congurations, and using them

in a development environment.

Chapter 2, The First Brush with Boost's Utilities, explores a handful of Boost libraries

for common programming tasks that include dealing with variant data types,

handling command-line arguments, and detecting the conguration parameters

of the development environment.

Chapter 3, Memory Management and Exception Safety, explains what is meant by

exception safety, and shows how to write exception-safe code using the different

smart pointer types provided by Boost and C++11.

Chapter 4, Working with Strings, explores the Boost String Algorithms library for

performing various computations with character strings, the Boost Range library

for elegantly dening subsequences, the Boost Tokenizer library to split strings into

tokens using different strategies, and the Boost Regex library to search for complex

patterns in text.

Chapter 5, Effective Data Structures beyond STL, deals with the Boost Container library

focusing on containers not available in the C++ Standard Library. We see the

Pointer Container library for storing dynamically-allocated objects in action,

and use the Boost Iterator library to generate various value sequences from

underlying containers.

Chapter 6, Bimap and Multi-index Containers, looks at bidirectional maps and

multi-index containers—two nifty container templates from Boost.

Chapter 7, Higher Order and Compile-time Programming, delves into compile-time

programming using Boost Type Traits and Template Metaprogramming libraries.

We take a rst look at Domain Specic Embedded Languages and use Boost Phoenix

to build basic expression templates. We use Boost Spirit to build simple parsers

using the Spirit Qi DSEL.

Preface

[ xi ]

Chapter 8, Date and Time Libraries, introduces the Boost Date Time and Boost Chrono

libraries to represent dates, time points, intervals, and periods.

Chapter 9, Files, Directories, and IOStreams, features the Boost Filesystem library

for manipulating lesystem entries, and the Boost IOStreams library for performing

type-safe I/O with rich semantics.

Chapter 10, Concurrency with Boost, uses the Boost Thread library and Boost

Coroutine library to write concurrent logic, and shows various synchronization

techniques in action.

Chapter 11, Network Programming Using Boost Asio, shows techniques for writing

scalable TCP and UDP servers and clients using the Asio library.

Appendix, C++11 Language Features Emulation, summarizes C++11 move semantics

and Boost's emulation of several C++11 features in C++03.

What you need for this book

You will need a computer capable of running an operating system that supports a C++

compiler toolchain supported by Boost. You can nd more details at http://www.

boost.org/doc/libs/release/libs/log/doc/html/log/installation.html.

To compile and run the code from this book, you will need to install the Boost

libraries version 1.56 or later. See Chapter 1, Introducing Boost, for more details.

Many code examples in this book require C++11 support, and thus, you should

choose versions of your compiler that have good support for C++11. You can nd

more details at http://en.cppreference.com/w/cpp/compiler_support.

A CMake project is provided with the downloadable source code to help you quickly

build all the examples using your preferred build system (gmake or Microsoft

Visual Studio). In order to use this, you need to install CMake version 2.8 or later.

See Chapter 1, Introducing Boost, for more details.

This book tries not to repeat content from the online reference manual. You should

use the Boost library's online reference manuals liberally in conjunction with this

book to discover additional properties, functions, and techniques. You can nd

the documentation at http://www.boost.org/doc/libs/.

Finally, the code listings in this book are sometimes abridged for brevity and focus.

The code examples accompanying this book are complete versions of these listings,

and you should use them when trying to build the examples.

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Python数据挖掘实战：利用Boost库解决实际问题

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