Download Free Minimal Cmake Book in PDF and EPUB Free Download. You can read online Minimal Cmake and write the review.

Design, build, and share cross-platform software effortlessly, and enhance your development workflow with this hands-on guide Key Features Unlock efficient cross-platform builds with streamlined CMake setups Learn CMake's most powerful features for streamlined software development from a seasoned game and engine developer Create and distribute an application with step-by-step instructions, practical examples, and working code Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMinimal CMake guides you through creating a CMake project one step at a time. The book utilizes the author's unique expertise in game and engine development to craft compelling examples of how CMake can be used to build complex software. The chapters introduce concepts gradually, each one building on the last. Throughout the course of the book, you will progress from a simple console application all the way through to a full windowed app. The book will help you build a strong foundation in CMake that will translate to future projects. You'll learn how to integrate existing software libraries to enhance your app's functionality, how to build reusable libraries to share with others, and how to manage developing for multiple platforms simultaneously, including macOS, Windows, and Linux. You'll also find out how CMake facilitates testing and how to package your application ready for distribution. The book aims to not overwhelm you with everything there is to know about CMake. Instead, it focuses on the most relevant and important parts that will help you become productive quickly. By the end of this book, you will be a confident CMake user and will have gained the skills and experience to build and share your own libraries and applications.What you will learn Set up projects for seamless cross-platform development Integrate external libraries to enhance your project's functionality Create and share reusable libraries Manage complex software dependencies for improved maintainability Package and distribute applications efficiently Utilize top tools to streamline your CMake workflow Explore resources for continuous learning Who this book is for If you are a programmer skilled in C, C++, Swift, Objective-C, or C#, and keen on cross-platform development and open-source software, this book is for you. A solid grasp of CMake helps you to effectively utilize and create open-source libraries and applications. No prior knowledge of CMake is necessary, though familiarity with an imperative programming language (especially C and C++) is beneficial. While a basic understanding of the terminal is advantageous, comprehensive setup instructions will guide you across Windows, macOS, and Linux (Ubuntu).
Discover practical tips and techniques for leveraging CMake to optimize your software development workflow Key Features Learn Master CMake, from basics to advanced techniques, for seamless project management Gain practical insights and best practices to tackle real-world CMake challenges Implement advanced strategies for optimizing and maintaining large-scale CMake projects Purchase of the print or Kindle book includes a free PDF eBook Book Description Discover the cutting-edge advancements in CMake with the new edition of CMake Best Practices. This book focuses on real-world applications and techniques to leverage CMake, avoiding outdated hacks and overwhelming documentation. You’ll learn how to use CMake presets for streamlined project configurations and embrace modern package management with Conan 2.0. Covering advanced methods to integrate third-party libraries and optimize cross-platform builds, this updated edition introduces new tools and techniques to enhance software quality, including testing frameworks, fuzzers, and automated documentation generation. Through hands-on examples, you’ll become proficient in structuring complex projects, ensuring that your builds run smoothly across different environments. Whether you’re integrating tools for continuous integration or packaging software for distribution, this book equips you with the skills needed to excel in modern software development. By the end of the book, you’ll have mastered setting up and maintaining robust software projects using CMake to streamline your development workflow and produce high-quality software. What you will learn Architect a well-structured CMake project Modularize and reuse CMake code across projects Use the latest CMake features for presets and dependency management Integrate tools for static analysis, linting, formatting, and documentation into a CMake project Execute hands-on cross-platform builds and seamless toolchain integration Implement automated fuzzing techniques to enhance code robustness Streamline your CI/CD pipelines with effective CMake configurations Craft a well-defined and portable build environment for your project Who this book is for This book is for software engineers and build system maintainers working with C or C++ who want to optimize their workflow using CMake. It's also valuable for those looking to enhance their understanding of structuring and managing CMake projects efficiently. Basic knowledge of C++ and general programming is recommended to fully grasp the examples and techniques covered in the book.
Write comprehensive, professional-standard CMake projects and ensure the quality and simplicity of your solutions Purchase of the print or Kindle book includes a free eBook in the PDF format Key FeaturesUnderstand and automate compilation and linking with CMakeManage internal and external dependencies easilyAdd quality checks and tests as an inherent step for your buildsBook Description Creating top-notch software is an extremely difficult undertaking. Developers researching the subject have difficulty determining which advice is up to date and which approaches have already been replaced by easier, better practices. At the same time, most online resources offer limited explanation, while also lacking the proper context and structure. This book offers a simpler, more comprehensive, experience as it treats the subject of building C++ solutions holistically. Modern CMake for C++ is an end-to-end guide to the automatization of complex tasks, including building, testing, and packaging. You'll not only learn how to use the CMake language in CMake projects, but also discover what makes them maintainable, elegant, and clean. The book also focuses on the structure of source directories, building targets, and packages. As you progress, you'll learn how to compile and link executables and libraries, how those processes work, and how to optimize builds in CMake for the best results. You'll understand how to use external dependencies in your project – third-party libraries, testing frameworks, program analysis tools, and documentation generators. Finally, you'll get to grips with exporting, installing, and packaging for internal and external purposes. By the end of this book, you'll be able to use CMake confidently on a professional level. What you will learnUnderstand best practices for building C++ codeGain practical knowledge of the CMake language by focusing on the most useful aspectsUse cutting-edge tooling to guarantee code quality with the help of tests and static and dynamic analysisDiscover how to manage, discover, download, and link dependencies with CMakeBuild solutions that can be reused and maintained in the long termUnderstand how to optimize build artifacts and the build process itselfWho this book is for The book is for build engineers and software developers with knowledge of C/C++ programming who are looking to learn CMake to automate the process of building small and large software solutions. If you are someone who's just getting started with CMake, a long-time GNU Make user, or simply looking to brush up on the latest best practices, this book is for you.
Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas.
Understand the LAMMPS source code and modify it to meet your research needs, and run simulations for bespoke applications involving forces, thermostats, pair potentials and more with ease Key FeaturesUnderstand the structure of the LAMMPS source codeImplement custom features in the LAMMPS source code to meet your research needsRun example simulations involving forces, thermostats, and pair potentials based on implemented featuresBook Description LAMMPS is one of the most widely used tools for running simulations for research in molecular dynamics. While the tool itself is fairly easy to use, more often than not you'll need to customize it to meet your specific simulation requirements. Extending and Modifying LAMMPS bridges this learning gap and helps you achieve this by writing custom code to add new features to LAMMPS source code. Written by ardent supporters of LAMMPS, this practical guide will enable you to extend the capabilities of LAMMPS with the help of step-by-step explanations of essential concepts, practical examples, and self-assessment questions. This LAMMPS book provides a hands-on approach to implementing associated methodologies that will get you up and running and productive in no time. You'll begin with a short introduction to the internal mechanisms of LAMMPS, and gradually transition to an overview of the source code along with a tutorial on modifying it. As you advance, you'll understand the structure, syntax, and organization of LAMMPS source code, and be able to write your own source code extensions to LAMMPS that implement features beyond the ones available in standard downloadable versions. By the end of this book, you'll have learned how to add your own extensions and modifications to the LAMMPS source code that can implement features that suit your simulation requirements. What you will learnIdentify how LAMMPS input script commands are parsed within the source codeUnderstand the architecture of the source codeRelate source code elements to simulated quantitiesLearn how stored quantities are accessed within the source codeExplore the mechanisms controlling pair styles, computes, and fixesModify the source code to implement custom features in LAMMPSWho this book is for This book is for students, faculty members, and researchers who are currently using LAMMPS or considering switching to LAMMPS, have a basic knowledge of how to use LAMMPS, and are looking to extend LAMMPS source code for research purposes. This book is not a tutorial on using LAMMPS or writing LAMMPS scripts, and it is assumed that the reader is comfortable with the basic LAMMPS syntax. The book is geared toward users with little to no experience in source code editing. Familiarity with C++ programming is helpful but not necessary.
Harness the power of Apache Arrow to optimize tabular data processing and develop robust, high-performance data systems with its standardized, language-independent columnar memory format Key Features Explore Apache Arrow's data types and integration with pandas, Polars, and Parquet Work with Arrow libraries such as Flight SQL, Acero compute engine, and Dataset APIs for tabular data Enhance and accelerate machine learning data pipelines using Apache Arrow and its subprojects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionApache Arrow is an open source, columnar in-memory data format designed for efficient data processing and analytics. This book harnesses the author’s 15 years of experience to show you a standardized way to work with tabular data across various programming languages and environments, enabling high-performance data processing and exchange. This updated second edition gives you an overview of the Arrow format, highlighting its versatility and benefits through real-world use cases. It guides you through enhancing data science workflows, optimizing performance with Apache Parquet and Spark, and ensuring seamless data translation. You’ll explore data interchange and storage formats, and Arrow's relationships with Parquet, Protocol Buffers, FlatBuffers, JSON, and CSV. You’ll also discover Apache Arrow subprojects, including Flight, SQL, Database Connectivity, and nanoarrow. You’ll learn to streamline machine learning workflows, use Arrow Dataset APIs, and integrate with popular analytical data systems such as Snowflake, Dremio, and DuckDB. The latter chapters provide real-world examples and case studies of products powered by Apache Arrow, providing practical insights into its applications. By the end of this book, you’ll have all the building blocks to create efficient and powerful analytical services and utilities with Apache Arrow.What you will learn Use Apache Arrow libraries to access data files, both locally and in the cloud Understand the zero-copy elements of the Apache Arrow format Improve the read performance of data pipelines by memory-mapping Arrow files Produce and consume Apache Arrow data efficiently by sharing memory with the C API Leverage the Arrow compute engine, Acero, to perform complex operations Create Arrow Flight servers and clients for transferring data quickly Build the Arrow libraries locally and contribute to the community Who this book is for This book is for developers, data engineers, and data scientists looking to explore the capabilities of Apache Arrow from the ground up. Whether you’re building utilities for data analytics and query engines, or building full pipelines with tabular data, this book can help you out regardless of your preferred programming language. A basic understanding of data analysis concepts is needed, but not necessary. Code examples are provided using C++, Python, and Go throughout the book.
Build AI-Enhanced Audio Plugins with C++ explains how to embed artificial intelligence technology inside tools that can be used by audio and music professionals, through worked examples using Python, C++ and audio APIs which demonstrate how to combine technologies to produce professional, AI-enhanced creative tools. Alongside a freely accessible source code repository created by the author that accompanies the book for readers to reference, each chapter is supported by complete example applications and projects, including an autonomous music improviser, a neural network-based synthesizer meta-programmer and a neural audio effects processor. Detailed instructions on how to build each example are also provided, including source code extracts, diagrams and background theory. This is an essential guide for software developers and programmers of all levels looking to integrate AI into their systems, as well as educators and students of audio programming, machine learning and software development.
A complete textbook and reference for engineers to learn the fundamentals of computer programming with modern C++ Introduction to Programming with C++ for Engineers is an original presentation teaching the fundamentals of computer programming and modern C++ to engineers and engineering students. Professor Cyganek, a highly regarded expert in his field, walks users through basics of data structures and algorithms with the help of a core subset of C++ and the Standard Library, progressing to the object-oriented domain and advanced C++ features, computer arithmetic, memory management and essentials of parallel programming, showing with real world examples how to complete tasks. He also guides users through the software development process, good programming practices, not shunning from explaining low-level features and the programming tools. Being a textbook, with the summarizing tables and diagrams the book becomes a highly useful reference for C++ programmers at all levels. Introduction to Programming with C++ for Engineers teaches how to program by: Guiding users from simple techniques with modern C++ and the Standard Library, to more advanced object-oriented design methods and language features Providing meaningful examples that facilitate understanding of the programming techniques and the C++ language constructions Fostering good programming practices which create better professional programmers Minimizing text descriptions, opting instead for comprehensive figures, tables, diagrams, and other explanatory material Granting access to a complementary website that contains example code and useful links to resources that further improve the reader’s coding ability Including test and exam question for the reader’s review at the end of each chapter Engineering students, students of other sciences who rely on computer programming, and professionals in various fields will find this book invaluable when learning to program with C++.
Learn CMake through a series of task-based recipes that provide you with practical, simple, and ready-to-use CMake solutions for your code Key FeaturesLearn to configure, build, test, and package software written in C, C++, and FortranProgress from simple to advanced tasks with examples tested on Linux, macOS, and WindowsManage code complexity and library dependencies with reusable CMake building blocksBook Description CMake is cross-platform, open-source software for managing the build process in a portable fashion. This book features a collection of recipes and building blocks with tips and techniques for working with CMake, CTest, CPack, and CDash. CMake Cookbook includes real-world examples in the form of recipes that cover different ways to structure, configure, build, and test small- to large-scale code projects. You will learn to use CMake's command-line tools and master modern CMake practices for configuring, building, and testing binaries and libraries. With this book, you will be able to work with external libraries and structure your own projects in a modular and reusable way. You will be well-equipped to generate native build scripts for Linux, MacOS, and Windows, simplify and refactor projects using CMake, and port projects to CMake. What you will learnConfigure, build, test, and install code projects using CMakeDetect operating systems, processors, libraries, files, and programs for conditional compilationIncrease the portability of your codeRefactor a large codebase into modules with the help of CMakeBuild multi-language projectsKnow where and how to tweak CMake configuration files written by somebody elsePackage projects for distributionPort projects to CMakeWho this book is for If you are a software developer keen to manage build systems using CMake or would like to understand and modify CMake code written by others, this book is for you. A basic knowledge of C++, C, or Fortran is required to understand the topics covered in this book.
Take the next steps toward mastering deep learning, the machine learning method that’s transforming the world around us by the second. In this practical book, you’ll get up to speed on key ideas using Facebook’s open source PyTorch framework and gain the latest skills you need to create your very own neural networks. Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text,and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production. Learn how to deploy deep learning models to production Explore PyTorch use cases from several leading companies Learn how to apply transfer learning to images Apply cutting-edge NLP techniques using a model trained on Wikipedia Use PyTorch’s torchaudio library to classify audio data with a convolutional-based model Debug PyTorch models using TensorBoard and flame graphs Deploy PyTorch applications in production in Docker containers and Kubernetes clusters running on Google Cloud