C++ software interoperability for Windows programmers : connecting to C#, R, and Python clients / Adam Gladstone.

Format:

Book

Author/Creator:

Gladstone, Adam, author.

Series:

ITpro collection

Language:

English

Subjects (All):

C++ (Computer program language).

Physical Description:

1 online resource (235 pages)

Place of Publication:

New York : Apress L. P., [2022]

Summary:

Get up-to-speed quickly and connect modern code written in C#, R, and Python to an existing codebase written in C++. This book for practitioners is about software interoperability in a Windows environment from C++ to languages such as C#, R, and Python. Using a series of example projects, the book demonstrates how to connect a simple C++ codebase packaged as a static or dynamic library to modern clients written in C#, R, and Python. The book shows you how to develop the in-between components that allow disparate languages to communicate. This book addresses a fundamental question in software design: given an existing C++ codebase, how does one go about connecting that codebase to clients written in C#, R, and Python? How is the C++ functionality exposed to these clients? One answer may be to rewrite the existing codebase in the target language. This is rarely, if ever, feasible and this book's goal is to save you the pain and the high cost of throwing out valuable existing code by showing you how to make that older code function alongside and with the more modern languages that are commonly in use today. The knowledge you will gain from reading this book will help you broaden your architectural choices and take advantage of the growing amount of talent around newer languages. What You Will Learn Build components that connect C++ to other languages Translate between the C++ type system and the type systems of C#, R, and Python Write a managed assembly targeting the .NET framework Create C++ packages for use in R/Studio Develop Python modules based on high-performance C++ code Overcome the difficulties and pitfalls involved in cross-language development.

Contents:

Intro

Table of Contents

About the Author

About the Technical Reviewer

Acknowledgments

Introduction

Part I: Foundations

Chapter 1: Preliminaries

Prerequisites

How to Use This Book

The Software Interoperability Project

The Projects

Terminology

How the Projects Fit Together

Summary

Chapter 2: C++ Components and C++ Clients

A Tour of the Source Code

Descriptive Statistics

Linear Regression

The Data Manager

Statistical Tests

Functions, Classes, and Type Conversion

C++ Components

StatsLib

Project Settings and Configuration

Building and Testing the Project

StatsLibTest

Building, Running, and Checking the Results

StatsDll

C++ Clients

StatsConsole

StatsViewer

Additional Resources

Exercises

Part II: C++/CLI and .NET

Chapter 3: Building a C++/CLI Wrapper

C++/CLI support

StatsCLR

Project Settings

Code Organization

The Statistics Class

Parameters and Return Values

Type Conversion

Exception Handling

Testing the Code

StatsCLR.UnitTests

Managed Wrapper Classes

The DataManager

The TTest Class

Chapter 4: C# Clients: Consuming the Managed Wrapper

StatsClient

Installing Accord.NET

Statistical Functions

Data Analysis

Data Modelling

Hypothesis Testing

Using Reflection

Module Information

Dynamic Invocation

PowerShell

StatsExcel

Installing Excel-DNA

Exposing Functions to Excel

Build and Run.

Exception Handling

Debugging

Part III: R and Rcpp

Chapter 5: Building an R Package

Rtools

Installing CodeBlocks

CodeBlocks

Toolchain Setup

Project Setup

R/RStudio Packages

Background

Building a Package with Rcpp

Installing Rcpp

The Project Files

Editing the Makefile

Boilerplate Code

Building StatsR

Chapter 6: Exposing Functions Using Rcpp

The Conversion Layer

The Code

Exercising the Functionality

Using a DataFrame

Functions vs. Classes

Rcpp Modules

Testing

Measuring Performance

Distribution Explorer

Part IV: Python

Chapter 7: Building a Python Extension Module

Using Visual Studio Community Edition 2019

StatsPythonRaw

Functions

Declarations

Error Handling

The Module Definition

Python Client

Chapter 8: Module Development with Boost.Python and PyBind

Boost.Python

StatisticalTests

PyBind

Code Organization: module.cpp

The Python "Client"

Performance

The Statistics Service

Exercises.

Chapter 9: Conclusion

Appendix A: Boost Libraries

Installation

Building

References

Appendix B: CMAKE

Building the Outputs

Index.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781484279663

1484279662

OCLC:

1294345314