
Explore multithreading concepts, challenges, and solutions in C++ development. Learn when to use or avoid multithreaded code, and discover techniques for improved readability and maintainability.

Explore Boost.Fiber for fine-grained concurrency, efficient CPU usage, and simplified asynchronous I/O. Learn integration techniques, useful patterns, and load-balancing strategies for improved application performance.

Explore compiler optimizations for atomics, memory accesses, and architecture-specific features. Learn about standardizing concurrency tools and debunking misconceptions in low-level programming.

Explore advanced multicore synchronization primitives, their performance properties, and practical challenges in complex concurrent systems, with examples from the Concurrency Kit project.

Hands-on workshop exploring the C++ Networking TS through practical exercises, building clients and servers while addressing common challenges and leveraging modern C++ techniques.

Explore Rust's ownership concept, memory safety, and parallelism advantages. Learn how Rust combines low-level control with high-level programming, ensuring thread safety and efficient abstractions.

Explore microarchitectural implications of FIFO queues in parallel programming, analyzing open-source implementations and their impact on processor core performance through code and assembly examination.

Exploring Hash-Array-Mapped Tries: A persistent, efficient data structure for C++ that combines tree and hash table characteristics, offering superior memory efficiency and immutability benefits.

Explore converting state machines to C++20 coroutines, leveraging async operations and co_await. Learn to simplify complex code using modern C++ features for more readable and maintainable asynchronous programming.

Explore how functions and objects form relationships in programming, using legal concepts to understand resource management, aliasing, and concurrency issues in C++.

Comprehensive overview of C++ concurrency features from C++11 to C++20, focusing on performance optimization with live benchmarks and practical insights for efficient concurrent programming.

Explore advanced C++ concurrency features, including memory models, thread-safety, primitives, parallel algorithms, and C++20 coroutines. Gain insights for maximum performance through live benchmarks and practical examples.

Explore C++20 coroutines for improved code design. Gain intuition on stackless asyncrony, generators, and senders/receivers through examples, leading to cleaner and safer implementations.

Explore advanced C++ techniques for low-latency systems, covering CPU caching, data structures, concurrency, and memory management to optimize performance in finance, audio, and gaming.

Learn to build reliable automated tests for web apps using Python, pytest, and Selenium. Hands-on project testing DuckDuckGo searches, covering browser switching and avoiding race conditions.

Comprehensive guide to Python concurrency, covering processes, threads, modules, race conditions, and the GIL. Includes coding examples and activities to build a multithreaded and multiprocessing web server.

Explora el uso de extensiones nativas en Rust para mejorar el rendimiento de Python, ofreciendo seguridad y accesibilidad. Aprende cuándo implementarlas basado en la experiencia del proyecto Pants.

Discover how to create flexible yet constrained workflow systems using Python's type annotations, coroutines, and dataclasses for extensible APIs in data processing, ETL, CI/CD, and more.

Explore Python 3.12's new solution for concurrent code and multi-core computing. Learn about per-interpreter GIL and subinterpreters to simplify concurrency and boost performance.

Explore generators, coroutines, and nanoservices in Python. Learn lesser-known aspects like the "send" method and "yield from" syntax. Discover practical applications and when to use these powerful features in your code.

Explore advanced Python instrumentation techniques, challenging real-world cases, and design patterns. Learn to hook into import systems, instrument popular libraries, and make your code instrumentation-friendly.