Rehabilitating Pickle
Explore Pickle's security risks, potential defenses, and alternatives for safe Python object serialization in distributed systems.
Quart - A asyncio Alternative to Flask
Explore Quart, an asyncio-based alternative to Flask, offering enhanced features like HTTP/2 and websockets while maintaining Flask's API for efficient web development.
Faster Python Startup
Explore techniques to optimize Python startup speed by embedding code objects into the cPython binary, reducing module loading time and improving performance for frequently launched applications.
Get Productive with Python in Visual Studio Code
Maximize Python productivity with Visual Studio Code: from basic setup to advanced features like debugging, testing, and collaborative coding. Learn tips and tricks for efficient development.
Integration Tests with Super Powers
Aprenda estratégias eficazes para escrever testes de integração robustos usando Pytest, injeção de dependências e Docker Compose, melhorando a manutenibilidade e extensibilidade de suas aplicações.
Testing Microservices - Fast and With Confidence
Explore efficient microservice testing techniques using contract testing and state validation, enabling faster development with high confidence without relying on costly end-to-end tests.
Advanced pytest
Dive into pytest plugin development to enhance test suites. Learn to add markers, customize test selection, generate reports, and create GitHub issues for regressions. Explore packaging plugins with Cookiecutter for PyPI distribution.
Delta Chat, CFFI, pytest and All the Rust
Explore Delta Chat's decentralized messaging, Python testing with pytest, CFFI integration, and creating chat bots. Learn about interfacing Rust with Python and building powerful, versatile bots using IMAP/SMTP.
Tools of the Trade - The Making of a Code Editor
Explore the journey of creating Mu, a Python-based code editor, addressing challenges in cross-platform development, accessibility, and building an inclusive community for beginners and educators.
Extending Python with Rust
Explore integrating Rust with Python for enhanced performance. Learn about libraries, demos, benchmarks, Docker setup, and CI/CD for mixed Rust/Python projects.
Full Stack Type Safety
Explore full-stack type safety in Python web projects, focusing on enforcing consistency between frontend and backend using REST/Swagger and GraphQL. Includes practical demos and discusses various design approaches.
Clean Architectures in Python
Explore clean architecture principles for Python, focusing on layer separation and internal APIs to create maintainable, testable, and loosely coupled systems.
Running Unit Test on Top of Serverless Service
Explore serverless architecture for unit testing, including parallelization approaches, implementation insights, and cost-benefit analysis for improved developer productivity.
The Hidden Power of the Python Runtime
Explore Python's hidden runtime events, frame objects, and powerful tools for inspecting program state during execution, enhancing your programming skills and debugging capabilities.
API-Schema-Based Testing with Schemathesis
Explore property-based API testing using schemathesis to automatically generate test scenarios from API schemas, enhancing test coverage and efficiency for web projects.
ScanAPI
Explore ScanAPI, an open-source tool for creating integration tests for REST APIs. Learn its motivations, problem-solving capabilities, implementation, and future developments.
Tests That -Almost- Write Themselves
Explore Golden Master Testing for legacy systems and data processing programs. Learn techniques to implement, process outputs, and identify relevant differences in Python.
Tooling for Static Analysis of Python Programs
Explore static analysis tools for Python, including gast and beniget modules, to enhance linting, type inference, and IDE capabilities despite Python's dynamic nature.
Powerful Tests and Reproducible Benchmarks with `pytest-cases`
Explore advanced pytest techniques using pytest-cases for complex parametrization, elegant test organization, and reproducible benchmarks in scientific research and data science projects.
Sweeter Debugging and Benchmarking with Ycecream
Explore ycecream for enhanced Python debugging and benchmarking, featuring simplified variable printing, location tracking, and advanced timing functionalities.
From Research Project to PyPI Release
Learn to transform a research project into a publicly released Python package, covering testing, CI, documentation, and citation on Zenodo. Ideal for researchers seeking to increase impact and visibility of their work.