C++26 Contracts: What Do They Add Beyond Manual Checks and Assertions?
Explore C++26 Contracts through a practical ring-buffer example, including preconditions, postconditions, manual C++23 checks and GCC evaluation semantics.
Out-of-bounds array access: a practical Rust vs C++ comparison
The post compares C++ and Rust regarding array bounds checking. It highlights that C++ allows out-of-bounds access, leading to undefined behavior, while Rust implements automatic bounds checking, triggering a panic on invalid access. Rust provides safer alternatives, such as the get() method, enhancing memory safety without manual error handling.
C++26 Reflection Annotations: Automated Member Validation
The post discusses exploring C++26, detailing setup on Ubuntu and features like template for, reflection, and JSON serialization. It introduces annotations as a powerful feature that simplifies validation in class constructors, ensuring values remain within specified ranges. This approach avoids error-prone manual validation when new class members are added.
Understanding Logical Operators in C++
Logical operators in C++ combine conditional statements to yield boolean values. The primary operators include Logical AND (&&), Logical OR (||), and Logical NOT (!). They enable complex conditions in decision-making structures, dictate execution flow, and follow a specific precedence, enhancing programming efficiency and functionality.
Understanding Array Element Address Calculation in C++
The content explains how addresses of array elements are computed in C++, focusing on a char array, an int array, and a double array. It details the relationship between base address, index, and element size, emphasizing pointer arithmetic and calculating addresses using the formula: base address + index × sizeof(element type).
C++26 Reflection: Simplifying JSON Serialization
The post discusses using the experimental C++26 reflection feature for JSON serialization of user-defined classes, specifically focusing on the CanDataSource class. It contrasts manual serialization approaches with the flexibility offered by reflection, allowing automatic updates in JSON output when class definitions change. Full source code is available on GitHub.
Understanding C++ Memory Layout for Systems Programming
Understanding the memory layout of a C++ program is crucial for systems programmers. It includes regions such as program code, initialized data, the heap, stack, and free space, each with distinct functions. The stack, operating on a LIFO principle, manages function calls and local variables but has limited size, which can lead to overflow.
How to Format C++ Code with clang-format in VS Code on Linux
This article explains how to format C++ code using clang-format in VS Code on Linux, ensuring a consistent coding style across the entire codebase. It covers installation, configuration of .clang-format and .vscode/tasks.json files, and includes instructions for formatting individual files or entire projects, highlighting benefits such as cleaner code reviews and easier onboarding.
C++26: what is reflection and how to use it
The author aims to explore C++26 progressively, focusing on its new features, particularly reflection. C++26 introduces the `enumerators_of()` function, allowing easy access to enum class members without manual updates. The author discusses utilizing this feature to convert enum values to strings and promises to share further insights as exploration continues.
C++26: what is “template for”?
The author explores the new "template for" feature in C++26 while attempting to reduce redundancy in calling a function template. They illustrate the concept with examples, highlighting how "template for" allows iterating over arrays as non-type template arguments. The discussion includes compiling the code and best practices for defining arrays.
Prompting C++ for Systems Engineering: Book Overview and Full Table of Contents
"Prompting C++ for Systems Engineering" by Vivek Bhadra is a comprehensive guide to modern C++ focusing on practical applications in systems engineering. It covers fundamentals to advanced topics like AI-assisted development, memory management, multithreading, and debugging. The book targets students and professionals seeking to enhance their C++ skills with real-world projects and examples.
Debugging Strategies for C++ Engineers
This post outlines advanced C++ debugging strategies beyond conventional techniques. It emphasizes understanding the problem, effective code inspection, targeted searches, log analysis, historical comparisons, version control, and using visual diff tools. The content also mentions the author's book for a comprehensive guide on systematic debugging approaches and AI assistance in engineering.
Compile Your First C++26 Program with GCC 16.1
The author successfully installed the GCC 16.1 compiler on an Ubuntu machine, outlining the installation steps and necessary dependencies. Following installation, a sample C++26 program utilizing reflection was compiled and executed without issues, demonstrating the new features of the compiler. The process and the author's excitement for the new capabilities are detailed.
C++20 Ranges vs traditional loops: when to use std::views instead of raw loops
The content discusses the challenges of processing sensor data in embedded software using traditional loops, highlighting issues with complexity and error management. It introduces the advantages of C++20's std::ranges, allowing for cleaner, more efficient data processing through a chain of filters and transformations without convoluted logic, while emphasizing potential drawbacks of relying on views.
C++23 std::expected vs C++17 std::optional for Error Handling
C++17 introduced std::optional to improve API design by allowing functions to return an optional value. Instead of returning a placeholder like -1 when a key isn't found in a map, std::optional lets functions return std::nullopt. C++23 further enhances error handling with std::expected, allowing custom error messages.
Building a Multithreaded Web Server in C++ with Docker
The post discusses building a multithreaded HTTP web server in C++ using a thread pool to handle concurrent connections, Nginx as a reverse proxy, and Docker for containerization. The server manages shared state with mutexes and condition variables, ensuring thread safety. Key features include live management, health checks, and rate limiting.
C++17: Efficiently Returning std::vector from Functions
The discussion centers on returning std::vector from C++ functions, highlighting Return Value Optimization (RVO) introduced in C++17. RVO allows the compiler to avoid copying vectors by constructing them in place when there's a single return path. For multiple return paths, std::move is used to transfer ownership efficiently. Exceptions exist, particularly with the conditional operator, which requires copying. Returning references from member functions is safer than from free functions since the object's lifetime ensures validity.
When std::shared_mutex Outperforms std::mutex: A Google Benchmark Study
In multi-threaded programming, protecting shared resources is crucial. std::mutex is common, but may bottleneck performance when many readers access data. std::shared_mutex can optimize scenarios with many readers and few writers, though its advantages depend on thread concurrency. Understanding the workload's read/write balance is key for effective synchronization.
std::span C++20: When to Use (and NOT Use) for Safe Buffer Passing
This post discusses the importance of efficient data handling in modern C++, exploring methods of passing contiguous data buffers to functions, including raw pointers, std::vector, std::array, and the C++20 feature std::span. It highlights the strengths and weaknesses of each method, emphasizing std::span's benefits for safe, flexible data management without ownership.
Understanding RAII: A Guide for C++ Developers
Acronyms, like RAII (Resource Acquisition Is Initialization), can be intimidating for programmers but reveal their elegance once understood. RAII ties resource management to object lifetime, ensuring reliable cleanup even during exceptions. This blog illustrates its significance through examples, emphasizing its role in modern C++ and urging developers to adopt its principles.
Mastering Templates in C++: A Comprehensive Guide
C++ templates are a powerful tool for writing flexible and reusable code, enabling type-independent programming. This guide covers everything from basic template syntax to advanced concepts like class templates, function return types, and instantiation. Whether you're new to templates or looking to refine your skills, each chapter provides clear explanations and practical insights. Dive in and unlock the full potential of C++ templates to write more efficient and scalable programs.
Templates in C++
The content outlines seven chapters on C++ templates, covering introductory concepts, function templates, template parameters, return types, miscellaneous aspects, class templates, and class template instantiation. Each chapter provides a foundation for understanding and effectively using templates in C++. Additionally, it mentions the availability of source code.
Chapter 5: Miscellaneous Topics on Function Templates in C++
In this chapter we will cover the following topics - Understanding difference between declaration and definition, Compiling and linking of template function, Organizing template function code, Abbreviated function templates, Overloading template function.
Chapter 4: Return Types of Template Functions in C++
This chapter will discuss the various ways we can declare or deduce the return type of a template function. We can use either template or non-template parameters to declare the return type of a function template. We can also deduce the return type using keywords like auto and decltype. In some cases, we can declare a separate type parameter for the return type. Because of these intricacies, it is necessary to discuss the template function’s return type in detail with specific examples tailored for each case.
Chapter 2: Working with Function Templates in C++
Chapter 2: Working with Function Templates in C++ Syntax, two-phase compilation, instantiation, and explicit argument specification Vivek Bhadra · C++17 · …
Continue reading → Chapter 2: Working with Function Templates in C++
Chapter 1: Introduction to Templates
C++ templates are intimidating for any beginner or intermediate level programmer as it is syntactically a bit cryptic and complex. Also, there are intricacies in how to use the powerful features of the language. A standard C++ book does not always go into the feature’s details instead of just touching upon the subject, which is not sufficiently explanatory for the first-time learners. Sometimes the examples are too complicated, or the explanations are too vague to understand. Often, there are not many different sample codes to practice enough to have a good grip on the subject. In other cases, the available books go so deep into the nitty-gritty of the language that the reader feels a bit lost in the sea of information. In either way, the subject seems daunting for the newbies or intermediate-level programmers. However, if we explain it systematically with simple examples and easy-to-understand explanations, the C++ template could be a powerful tool for programmers. Proper use of templates can lead to clean, elegant, and efficient code on many occasions. The reader should be a beginner or intermediate-level programmer who has a basic understanding of C++ programming. They do not need to have detailed, in-depth knowledge or vast experience on the subject but should be familiar with the C++ programming paradigm’s basic concepts and be looking to take it to the next level.
Invoke Linux Commands in C++ with Popen
This blog is about how to launch a Linux shell command inside a C++ program.
How to detect memory leak in c program using valgrind?
valgrind is a popular tool which can detect memory in run-time. This blog post discusses how to install, and run valgrind at linux command line to detect memory leak in a sample C program.
C++ notes: virtual function
This blog post discusses the polymorphism with the help of C++ language. The mechanism to implement polymorphism in C++ is known as Virtual Functions. With the help of a simple example I will try to explain the concept as clearly as I can.