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Learning C++ Functional Programming电子书

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10人正在读 | 0人评论 9.8

作       者:Wisnu Anggoro

出  版  社:Packt Publishing

出版时间:2017-08-10

字       数:29.4万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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Apply Functional Programming techniques to C++ to build highly modular, testable, and reusable code About This Book ? Modularize your applications and make them highly reusable and testable ? Get familiar with complex concepts such as metaprogramming, concurrency, and immutability ? A highly practical guide to building functional code in C++ filled with lots of examples and real-world use cases Who This Book Is For This book is for C++ developers comfortable with OOP who are interested in learning how to apply the functional paradigm to create robust and testable apps. What You Will Learn ? Get to know the difference between imperative and functional approaches ? See the use of first-class functions and pure functions in a functional style ? Discover various techniques to apply immutable state to avoid side effects ? Design a recursive algorithm effectively ? Create faster programs using lazy evaluation ? Structure code using design patterns to make the design process easier ? Use concurrency techniques to develop responsive software ? Learn how to use the C++ Standard Template Library and metaprogramming in a functional way to improve code optimization In Detail Functional programming allows developers to divide programs into smaller, reusable components that ease the creation, testing, and maintenance of software as a whole. Combined with the power of C++, you can develop robust and scalable applications that fulfill modern day software requirements. This book will help you discover all the C++ 17 features that can be applied to build software in a functional way. The book is divided into three modules—the first introduces the fundamentals of functional programming and how it is supported by modern C++. The second module explains how to efficiently implement C++ features such as pure functions and immutable states to build robust applications. The last module describes how to achieve concurrency and apply design patterns to enhance your application’s performance. Here, you will also learn to optimize code using metaprogramming in a functional way. By the end of the book, you will be familiar with the functional approach of programming and will be able to use these techniques on a daily basis. Style and approach This book uses a module-based approach, where each module will cover important aspects of functional programming in C++ and will help you develop efficient and robust applications through gaining a practical understanding.
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Title Page

Copyright

Learning C++ Functional Programming

Credits

About the Author

About the Reviewer

www.PacktPub.com

Why subscribe?

Customer Feedback

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

Diving into Modern C++

Getting closer with several new features in modern C++

Defining the data type automatically using the auto keyword

Querying the type of an expression using the decltype keyword

Pointing to a null pointer

Returning an iterator using non-member begin() and end() function

Iterating over collections using range-based for loops

Leveraging the use of C++ language with the C++ Standard Libraries

Placing any objects in the container

Using algorithms

Simplifying the function notation using a Lambda expression

Using the Lambda expression for a tiny function

Using the Lambda expression for multiline functions

Returning a value from the Lambda expression

Capturing a value to the Lambda expression

Preparing the value using initialization captures

Writing a generic Lambda expression to be used many times with many different data types

Avoiding manual memory management with smart pointers

Replacing a raw pointer using unique_ptr

Sharing objects using shared_ptr

Tracking the objects using a weak_ptr pointer

Storing many different data types using tuples

Unpacking tuples values

Returning a tuple value type

Summary

Manipulating Functions in Functional Programming

Applying the first-class function in all functions

Passing a function as another function's parameter

Assigning a function to a variable

Storing a function in the container

Creating a new function from the existing functions at runtime

Getting acquainted with three functional techniques in the higher-order function

Executing each element list using map

Extracting data using filter

Combining all elements of a list using fold

Avoiding the side effect with pure function

Reducing a multiple arguments function with currying

Summary

Applying Immutable State to the Function

Understanding the essential part from immutable object

Modifying a local variable

Modifying a variable passed into a function

Preventing the modification of a value

Applying the first-class function and the pure function to the immutable object

Developing the immutable object

Starting with a mutable object

Refactoring a mutable object into an immutable one

Enumerating the benefits of being immutable

Summary

Repeating Method Invocation Using Recursive Algorithm

Repeating the function invocation recursively

Performing the iteration procedure to repeat the process

Performing the recursion procedure to repeat the process

Recurring the immutable function

Getting closer to tail recursion

Getting acquainted with functional, procedural, and backtracking recursion

Expecting results from functional recursion

Running a task recursively in procedural recursion

Backtracking recursion

Summary

Procrastinating the Execution Process Using Lazy Evaluation

Evaluating the expression

Running the expression immediately with strict evaluation

Delaying the expression with non-strict evaluation

The basic concept of lazy evaluation

Delaying the process

Caching the value using the memoization technique

Optimizing the code using the memoization technique

Lazy evaluation in action

Designing Chunk and Row classes

Concatenating several rows

Iterating each Row class' element

Generating the infinite integer row

Generating an infinite prime numbers row

Refactoring eager evaluation to lazy evaluation

Summary

Optimizing Code with Metaprogramming

Introduction to metaprogramming

Preprocessing the code using a macro

Dissecting template metaprogramming in the Standard Library

Building the template metaprogramming

Adding a value to the variable in the template

Mapping a function to the input parameters

Choosing the correct process based on the condition

Repeating the process recursively

Selecting a type in compile-time

Flow control with template metaprogramming

Deciding the next process by the current condition

Selecting the correct statement

Looping the process

Executing the code in compile-time

Getting a compile-time constant

Generating the class using a compile-time class generation

Benefits and drawbacks of metaprogramming

Summary

Running Parallel Execution Using Concurrency

Concurrency in C++

Processing a single threading code

Processing a multithreading code

Synchronizing the threads using mutex

Avoiding synchronization issues

Unlocking the variable automatically

Avoiding deadlock using recursive mutex

Understanding the thread processing in a Windows operating system

Working with handle

Refactoring to a unique handle

Triggering an event

Calling an event from a thread

Summary

Creating and Debugging Application in Functional Approach

Preparing an imperative class

Refactoring the imperative class to become a functional class

Passing a function as a parameter

Adding a base class

Transforming the class to become pure

Filtering the condition and implementing a Lambda expression

Implementing recursion and memoization techniques to the Customer class

Debugging the code

Starting the debugging tool

Continuing and stepping the debugging process

Setting and deleting the breakpoint

Printing the object value

Summary

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