Building Docs like Code - Continuous Integration for Documentation
Discover how to integrate documentation into your development workflow using Python-powered tools and CI/CD, improving efficiency and keeping docs up-to-date effortlessly.
CI-CD 101
Hands-on introduction to CI/CD fundamentals using CircleCI. Learn core principles, build configuration, code commits, testing, and packaging through practical exercises.
Best Practices for Continuous Integration in Python
Explore best practices for Python continuous integration, focusing on timely and accurate developer feedback across various CI systems. Learn to optimize configurations for speed and precision.
Orcha - Procesamiento Masivo Paralelo - MPP y Diseño de APIs
Explora Orcha, una herramienta de orquestación para paralelizar pruebas de forma masiva, optimizando recursos y reduciendo tiempos de ejecución en entornos de desarrollo complejos.
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.
Write Your First Package Using Literate Programming
Aprenda a criar um pacote Python usando programação literária, combinando explicações em linguagem natural com código. Explore ferramentas como Jupyter Notebooks e Nbdev para desenvolvimento eficiente e documentação integrada.
Language Alone Won't Pay Your Bills
Explore software ownership costs, code reuse, and development tools integration, emphasizing the importance of comprehensive approaches beyond language choice for successful projects.
Argus - The Omniscient CI
Explore Argus, a powerful CI framework for scenario-based testing across platforms. Learn to create custom recipes, leverage introspection, and generate in-depth analysis logs for robust project testing.
The Butler and the Snake - Continuous Integration for Python
Explore effective Continuous Integration for Python projects, drawing insights from a large-scale open-source implementation. Learn key principles, tools, and best practices for automated testing and integration.
Publish Your Code So Others Can Use It in 5 Easy Steps
Learn to publish Python code effectively with tools like GitHub, Travis CI, and PyPI, enhancing usability and collaboration potential for your open-source projects.
How OpenStack Makes Python Better and Vice-Versa
Explore the symbiotic relationship between OpenStack and Python, including historical context, mutual benefits, bug discovery, and best practices for developers.
Split Up! Fighting the Monolith
Strategies for breaking down monolithic applications into manageable components, addressing dependency challenges, and improving code flexibility and maintainability.
But How Do You Know Your Mock Is Valid? Verified Fakes of Web Services
Explore verified fakes for web services, ensuring mock validity through periodic tests. Learn to create accurate representations using pytest, Travis CI, requests, and Responses for reliable software testing.
Testing in Layers
Explore modular, layered testing strategies for efficient software development, from unit tests to end-to-end integration, emphasizing automation and rapid problem identification in DevOps environments.
Django - From a Nightmare to a Dream with Best Practices
Discover best practices for refactoring legacy Django code, improving maintainability, and implementing tools for safer deployments and continuous integration.
Infrastructure Design Patterns with Python, Buildbot, and Linux Containers
Explore infrastructure design patterns using Python, Buildbot, and Linux Containers for enterprise solutions beyond CI, including license management and application deployment.
Sustainable Scientific Software Development
Explore techniques and tools for building sustainable scientific code, including testing, continuous integration, and documentation, to ensure accurate and reproducible computational research results.
Marge - A Bot for Better Git'ing
Discover Marge-bot, an innovative tool enhancing Git workflows by testing pull requests against target branches and offering additional conveniences for improved Continuous Integration practices.
Standardize Testing in Python
Discover tox: an open-source tool for standardizing Python testing, simplifying CI processes, and ensuring high-quality, maintainable packages across various environments.
Automating Testing and Deployment with Github and Travis
Streamline open-source project maintenance by automating testing and deployment using Github and Travis. Learn to create an efficient release pipeline, reducing errors and simplifying the process.
Evolving a Helper Script into a 180,000-Lines-of-Python-Code Project
Explore the evolution of a Python project from a simple script to a complex incident response framework, covering design decisions, challenges, and best practices in software development.