
Explore higher-order functions in C++, their practical applications, and the proposed `function_ref` abstraction for C++20, enhancing code flexibility and performance.

Explore CMake's vital role in C++ development, its history, and key features for building, testing, and deploying software across platforms with Bill Hoffman, CMake's creator.

Explore a new macro-free C++20 testing framework that simplifies unit testing with modern features like modules, concepts, and lambdas. Learn to write expressive, efficient tests for C++ projects.

Explore techniques for encapsulating and modernizing external APIs in enterprise systems, focusing on efficient interfaces, localized decoupling, and seamless migration paths for codebase changes.

Explore low latency C++ across industries, examining challenges and techniques for efficient programming in time-critical systems like finance, audio, and gaming.

Explore doctests for embedding examples in docstrings, learn about Xdoctest as an alternative to Python's builtin module, and discover how to enhance test-driven development with interactive code demos.

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.

Explore Python's hidden runtime events, memory model, and frame objects. Learn to leverage runtime information for powerful debugging, tracing, and development tools.

Explore pytest parametrization techniques to enhance testing efficiency, covering multiple test cases with a single function and simplifying test maintenance.

Explore alternatives to mocks in testing, focusing on design patterns and techniques for better code structure, maintainable tests, and a healthy test pyramid.

Discover property-based testing with Hypothesis, learn to write robust tests, and find real bugs. Hands-on experience in creating generalized tests for diverse scenarios.

Learn to write high-quality Python unit tests using Pytest and mock. Master best practices for effective testing, enhancing code reliability and maintainability.

Explore techniques and tools for testing machine learning components in Python, addressing challenges of nondeterminism and ensuring reliability in ML-driven applications.

Explore property-based testing for AI models using Hypothesis library, focusing on generating random edge cases and defining system properties and specifications.

Explore modern Python optimization techniques, learn new performance guidelines, and discover how to leverage language improvements for faster code execution.

Explore hermetic builds with Pantsbuild for fast, reproducible workflows. Learn how isolated environments ensure correctness, eliminate "works on my machine" issues, and improve CI/CD processes.

Explore how Python's type system can enhance code security, from simple annotations to advanced tools, preventing vulnerabilities and enabling incremental improvements in project safety.

Explora técnicas avanzadas de testing en Python: objetos simulados, patch, mock, y bibliotecas populares. Aprende a mejorar la calidad y eficiencia de tus pruebas unitarias.

Discover property-based testing with Hypothesis to write more robust and efficient tests. Learn to define input types, create generalized tests, and uncover hidden bugs in your Python code.

Learn to build a Python test automation project using Playwright and pytest. Covers installation, configuration, interactions, and advanced features for efficient web app testing across different browsers.

Comprehensive overview of Python static code analysis tools, including linters, type checkers, and formatters. Introduces beginners to type hints and highlights the fast Rust-based linter Ruff.