Why You Don't Need Design Patterns in Python
Explore Python's features that simplify or eliminate the need for traditional design patterns, showcasing the language's elegance and efficiency in solving common programming challenges.
Asynchronous I/O and the Real-Time Web
Explore asynchronous web servers, concurrency for performance, real-time communication with web sockets, and challenges in async web development. Gain insights into modern web application techniques.
How SAP is Using Python to Test Its Database SAP HANA
Insights into SAP's large-scale Python-based testing infrastructure for SAP HANA, covering scaling challenges, optimizations, and the use of Linux Containers for improved automated testing and quality assurance.
A Faster Python? You Have These Choices
Explore options for optimizing Python performance, from C extensions to PyPy. Learn trade-offs between speed and code maintainability, with real-world examples and benchmarks.
Streaming - Why Should I Care?
Discover how stream-oriented processing can revolutionize your approach to application development, offering natural service boundaries, flexible data schemas, and improved scalability.
Fixture Factories for Faster End-to-End Tests
Explore fixture factories for faster end-to-end tests in service-oriented architectures. Learn implementation techniques, pytest integration, and benefits like improved maintainability and parallel test execution.
Plone - Where Is It Today and Where Is It Going
Explore Plone CMS's current state and future direction, focusing on its robust security features, customization capabilities, and upcoming enhancements in version 5.1 and beyond.
Pythonist View on Microservices & Containerization
Explore microservices and containerization in Python, covering implementation, advantages, Docker usage, CI/CD approaches, and trade-offs for loosely coupled system design and deployment.
Pythonic Code vs Performance
Explore the beauty of idiomatic Python and its performance implications. Learn to write elegant, Pythonic code while understanding its impact on CPU and memory usage.
ETL Pipeline to Achieve Reliability at Scale
Explore designing scalable ETL pipelines for high-volume financial transactions, focusing on fault tolerance, fast I/O, and efficient computations using Python, Luigi, and Spark.
Django Structure for Scale and Longevity
Explore Django project structuring for scalability and longevity, covering service layers, DRF best practices, and effective testing strategies. Gain insights from real-world experiences to enhance productivity and code quality.
Cython to Speed Up Your Python Code
Discover how to significantly accelerate Python code using Cython, a powerful tool that translates Python to C/C++, enabling static optimizations and seamless integration of Python, C, and C++ features.
How to Write Deployment-Friendly Applications
Learn techniques for creating environment-agnostic Python applications that are easier to test, deploy, handle, and scale. Discover tools and best practices for structuring and configuring apps independent of their runtime environment.
Understanding and Applying CQRS
Learn to implement Command Query Responsibility Segregation (CQRS) in Python using Nameko framework to enhance database performance and scalability in high-traffic applications.
A Taxonomy of Decorators - A-E
Explore five categories of Python decorators: Argument Changing, Binding, Control Flow, Descriptive, and Execution. Learn their syntax, usage patterns, and practical applications in software development.
Domain Driven Design Patterns in Python
Explore Domain-Driven Design patterns in Python, learning to model complex domains and implement tactical patterns for robust, maintainable software in large-scale projects.
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.
Deploy Python to the Cloud Faster with Azure Serverless
Learn to deploy and scale Python workloads using Azure Functions, with seamless integration in Visual Studio Code for local development, debugging, and cloud deployment. Explore serverless computing benefits and management tools.
Opening PyPy's Magic Black Box
Explore PyPy's meta-tracing JIT compiler, understanding its optimization techniques for faster Python code execution. Gain insights into PyPy's inner workings and learn to leverage its performance benefits.
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.
Lessons from the Trenches - Rewriting and Re-releasing Virtualenv
Insights on rewriting virtualenv: challenges, goals, and outcomes of modernizing a crucial Python tool. Learn about maintainability, performance improvements, and new features.