Python & Visual Studio Code - Revolutionizing the Way You Do Data Science
Discover how Visual Studio Code, GitHub, Codespaces, and Azure ML enhance Python data science productivity. Learn about VS Code Notebooks, Data Wrangler, collaboration features, and deployment options.
Dance with Shadows - Stubs, Patch and Mock
Aprenda a usar objetos falsos en pruebas de software: stubs, patch y mock. Explore técnicas avanzadas, evite errores comunes y descubra bibliotecas especializadas para desarrollo web.
How Much Time Does It Take to Write Tests? A Case Study
Explore the time investment in writing automated tests through a real-world case study, examining the implications and trade-offs in software development practices.
Making Python Better One Error Message at a Time
Explore Python 3.10's improved error messages and upcoming 3.11 enhancements. Learn about implementation challenges, user benefits, and how to contribute to future improvements.
Code Coverage Through Unit Tests Running in Sub-Processes - Threads - Locally and Automated on GitHub
Learn to measure and improve code coverage for tests running in sub-processes/threads, locally and on GitHub. Explore techniques to enhance reliability and automate the process using CI tools.
Protocols in Python - Why You Need Them
Discover the power of Protocols in Python, their advantages over Abstract Base Classes, and how they can enhance your code quality and maintainability.
Managing the Code Quality of Your Project - Leave the Past Behind - Focus on New Code
Explore the "Clean as you code" approach for managing code quality in legacy projects, focusing on recent changes to improve deliverables incrementally while maintaining productivity.
Elephants, Ibises and a More Pythonic Way to Work with Databases
Explore a Pythonic approach to database interactions using Ibis, comparing it with traditional SQL methods and showcasing its versatility across various database engines.
Property-Based Testing the Python Way
Explore property-based testing with Hypothesis in Python, comparing it to traditional approaches and learning when to apply this powerful technique for more robust software testing.
Using Python to Manage Software Bill of Materials
Learn to create and manage Software Bill of Materials (SBOMs) using Python, enhancing software security and compliance tracking in complex development environments.
Simple Data Validation and Setting Management with Pydantic
Learn efficient data validation and setting management using Pydantic. Explore models, validators, and converters with real-life examples to enhance code readability and prevent processing errors.
Lint All the Things!
Explore how linting tools like flake8, import linter, and pre-commit can automate code conventions, improve code quality, and streamline development processes for more efficient and focused coding.
Forget Mono vs. Multi-Repo - Building Centralized Git Workflows with Python
Discover a Python-based solution for unified Git workflows, transcending the mono vs. multi-repo debate and significantly enhancing CI/CD efficiency across all services.
Automated Refactoring Large Python Codebases
Learn to build automated refactoring tools using LibCST and MonkeyType for large Python codebases, and automate code reviews with GitPython/PyGithub to improve code quality at scale.
Leading & Growing Software Teams
Practical insights on effective software team leadership, covering role expectations, work rhythm, communication, and fostering team growth. Ideal for developers transitioning to management roles.
Clean Architectures in Python
Explore layered software design for maintainable, loosely coupled systems. Learn to implement clean architecture principles in Python, enhancing testability and reducing framework dependence.
Handling Errors the Graceful Way in Python
Learn effective exception handling strategies in Python to catch bugs early, improve code reliability, and become a more confident programmer.
The Python Package Repository Accelerating Software Development at CERN
Explore CERN's custom Python package repository, designed to enhance security and flexibility in accelerator controls development while leveraging the rich ecosystem of third-party packages.
Kindnesses & Promises
Explore how building applications and sharing libraries foster community and enjoyment in software development, with insights on maintaining the fun in collaborative coding.
Test Your Data Like You Test Your Code
Discover data unit testing: a crucial tool for data scientists to ensure product quality. Learn implementation techniques and best practices for robust data-driven solutions.
The Digital State of the European Union
Explore the challenges and current state of EU digital services, including identity, cross-border access, and open source support. Gain insights into normative and technical issues affecting UX, cybersecurity, and maintainability.