Effective Protobuf - Everything You Wanted to Know, But Never Dared to Ask
Comprehensive exploration of Protocol Buffers, covering serialization, performance, encoding, and practical applications. Ideal for developers seeking to optimize data exchange in distributed systems.
Why Authorization is Hard
Explore the complexities of implementing authorization in applications, covering enforcement, decision architecture, and modeling. Learn approaches and tradeoffs for each area.
A Perfect Match - The History, Design, Implementation, and Future of Python's Structural Pattern Matching
Explore Python 3.10's structural pattern matching: its history, design, implementation, and future. Learn powerful object-oriented approaches and practical applications for this functional programming feature.
Fast and Reproducible Tests, Packaging, and Deploys with Hermetic Builds
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.
The Model Review - Improving Transparency, Reproducibility, and Knowledge Sharing
Explore implementing a Model Review process for ML models using MLflow, enhancing transparency, reproducibility, and knowledge sharing in machine learning development and deployment.
Securing Code with the Python Type System
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.
Charlas - María Andrea Vignau: Bailo con tu sombra: Patch, stub, mock
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.
Charlas - Débora Azevedo: Software Educativo - ¿Qué Es? ¿Cómo Se Hace?
Exploración del software educativo: definición, desarrollo y buenas prácticas. Análisis de tecnología en educación, etapas de creación y consideraciones pedagógicas, con énfasis en accesibilidad e innovación.
Charlas - Programacion Reactiva - Navegando en el mundo de la asincronia con RxPy
Explora la programación reactiva con RxPy para mejorar el rendimiento y la asincronía en aplicaciones Python complejas, facilitando la creación, filtrado y unificación de flujos de datos.
Localize Your Open Source Documentation - A Kubernetes Case Study
Scaling open source documentation localization: Kubernetes' journey from zero to eleven languages, covering tools, workflows, standards, and community conduct for successful project localization.
Introduction to Property Based Testing
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.
Python Types for Fun and Profit
Hands-on introduction to Python type annotations, covering basic concepts and advanced features. Practice adding types to real code and using type checkers to catch bugs early in development.
Coding with Others
Explore tools and practices for effective developer collaboration, including documentation, version control, auto-linting, and dependency management. Enhance teamwork and solo productivity.
Awesome Modern Web Testing with Playwright
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.
An Overview of the Python Code Tool Landscape 2023
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.
Introduction to Property-Based Testing
Discover property-based testing with Hypothesis to write more robust and effective tests. Learn to define input strategies, create generalized tests, and uncover hidden bugs in your Python code.
Supercharging Pipeline Efficiency with ML Performance Prediction
Optimizing data pipeline efficiency using machine learning to predict task duration and resource requirements, enabling dynamic queue allocation and autoscaling for improved performance and cost-effectiveness.
Oh No! My Regex Is Causing a Denial of Service! What Can I Do About It?
Explore regex performance issues, including ReDoS, with practical examples. Learn to detect problematic expressions, improve performance, and defend against malicious inputs using static analysis techniques.
What Framework Should I Use for Web Testing?
Explore three major web UI testing frameworks: Selenium, Cypress, and Playwright. Compare features and see code examples to choose the best tool for your team's needs.
Python Linters at Scale
Explore scaling Python linters for large codebases, improving developer experience, and automating fixes. Learn strategies for consistent configurations, faster runtimes, and effective observability.
10 Ways to Shoot Yourself in the Foot with Tests
Explore common pitfalls in Python testing, learn to identify problematic practices, and discover alternatives to create more effective and reliable test suites.