
Explore how Visual Studio Code, GitHub, Codespaces, and Copilot enhance data science workflows, boosting productivity through advanced tools like VS Code Notebooks, Data Wrangler, and AI-assisted coding.

Explore strategies for implementing incompatible changes in Python, focusing on documentation, compatibility, migration tools, and long-term design to minimize future disruptions.

Enhance Django development with PyCharm's advanced features for improved navigation, refactoring, and test-driven development, boosting productivity and developer experience.

Explore how coding conventions improve code quality, readability, and maintainability while reducing errors. Learn to create, implement, and maintain conventions using linters.

Explore how NotImplemented transforms Python's equality operator in DirtyEquals, revolutionizing test writing for APIs and changing perspectives on language quirks.

Discover strategies to identify and optimize critical performance issues in your applications, focusing on user-centric improvements and leveraging Sentry for effective monitoring and enhancement.

Explore spec-based testing to enhance software quality by verifying behavior against specifications. Learn how this technique complements unit testing for more effective and efficient quality assurance.

Learn strategies to efficiently navigate and maintain inherited codebases, minimizing frustration and maximizing productivity. Gain insights on improving code handover for smoother transitions in software development projects.

Discover how to distribute Python apps across desktop, mobile, and web platforms using Briefcase, enabling end-user application development from a single codebase.

Explore Prague's influence on programming and technology through its historic architecture, literature, and art, drawing parallels to modern software challenges and future possibilities.

Discover strategies for efficiently scaling Python linters across large codebases and teams, including automated updates, consistent configurations, and performance optimizations.

Learn techniques for implementing zero-downtime database migrations in SaaS projects, ensuring smooth updates without service interruptions while handling large-scale client databases.

Explore how a fully typed Python codebase can reduce the need for extensive testing, leveraging dependent types and exhaustiveness checking to enhance code reliability and efficiency.

Discover effective strategies for implementing Behaviour-Driven Development, moving beyond basic tool installation to achieve evergreen documentation and executable specifications.

Discover Typer: the easiest way to create user-friendly command-line applications. Learn key features, structuring techniques, and effortless packaging for publishing your CLI tools.

Explore offline database development, unit testing, and customization in SQL Server Data Tools. Learn to create test projects, write T-SQL unit tests, and extend functionality with C#.

Learn effective techniques for database unit testing to improve code quality, catch errors early, and ensure reliable database functionality.

Aprenda técnicas avanzadas de gestión del ciclo de vida de aplicaciones para optimizar el desarrollo de bases de datos SQL Server y mejorar la eficiencia del equipo.

Estratégias e dicas para desenvolvedores otimizarem o uso do SQL Server, melhorando a eficácia na extração de informações e atendendo aos requisitos internos do sistema.

Learn intuitive time series forecasting using Microsoft's algorithm in SQL Server Analysis Services. Explore data preparation, model creation, querying, and result interpretation through Visual Studio and Excel demonstrations.

Learn to create your first Analysis Services Tabular model using Visual Studio. Import tables, establish relationships, and write formulas for data browsing with Excel and Power View.