Clean Architectures in Python
Explore clean architecture principles for Python, focusing on layer separation and internal APIs to create maintainable, testable, and loosely coupled systems.
Real Time Stream Processing for Machine Learning at Massive Scale
Practical insights on building scalable data streaming ML pipelines for real-time processing using Python, Kafka, SpaCy, and Seldon. Covers key concepts and best practices through a Reddit comment moderation case study.
The Painless Route in Python to Fast and Scalable Machine Learning
Learn to optimize Python for high-performance machine learning, from Intel-enhanced packages to scalable data processing and analytics pipelines that rival C++/MPI performance on large datasets and clusters.
Writing and Scaling Collaborative Data Pipelines with Kedro
Discover how Kedro framework facilitates collaboration between data scientists and engineers, enabling scalable and sustainable data pipelines while balancing flexibility and stability.
Python Table Manners - Cut the Cookie Gracefully
Discover essential Python tools for efficient software engineering, covering dependency management, testing, style checks, task automation, and security. Enhance your development workflow with practical insights.
There's a Snake in the Birdhouse!
Discover strategies for introducing Python in non-Python workplaces, from initial steps to building a Pythonic culture. Learn from real experiences to successfully implement Python in your company.
Taming Nondeterminism with Dependency Injection
Learn to control nondeterminism in Python using dependency injection. Explore challenges, identify issues, and implement solutions to improve code reliability and testability.
Nobody Expects the Spanish Inquisition
Explore the fascinating world of Python development, including insider stories, bug battles, and unexpected challenges faced by the core team.
Towards a Sustainable Solution to Open Source Sustainability
Exploring strategies for open source sustainability, from donation-based models to helping companies understand the business value of contributing to open source projects.
Designing Functional Data Pipelines for Reproducibility and Maintainability
Explore functional programming principles to build scalable, reproducible, and maintainable data pipelines in Python. Learn key concepts, design patterns, and practical applications for data-intensive projects.
Python Anti-Patterns
Explore common Python anti-patterns and learn how to avoid them, improving code quality and maintainability in your projects.
Dependency Injection - Stealing Cool Stuff from the Weird Kids
Explore dependency injection in Python: its concept, benefits, and implementation examples to enhance your engineering skills and code design.
Pattern Matching in Python
Explore Python 3.10's Structural Pattern Matching feature with its contributor. Learn motivations, problem-solving applications, and best practices for this powerful data processing tool.
Data Lake - Design for Schema Evolution
Explore data lake design strategies for managing schema evolution, focusing on storage, scalability, and AVRO format implementation. Learn best practices for maintaining data integrity and compatibility.
Production ML Monitoring - Outliers, Drift, Explainers & Statistical Performance
Practical deep dive into advanced ML monitoring techniques, covering outliers, drift, explainers, and statistical performance for robust production deployment and scalability.
Choosing the Right Database for Your Next Project - Looking at Options Beyond PostgreSQL and MySQL
Explore diverse database options beyond PostgreSQL and MySQL, covering relational, data warehouse, analytics, and machine learning solutions to find the best fit for your Python project.
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.
Event-Driven Microservices with Python and Apache Kafka
Explore event-driven microservices using Python and Apache Kafka. Learn to build loosely coupled, extensible distributed systems with an example application and practical considerations.
Dodging AI Dystopia - You Can't Save the World Alone
Explore strategies to prevent AI dystopia in EU systems. Learn about legal and ethical frameworks to guide responsible AI development and implementation in critical sectors.
Writing Faster Python 3
Learn practical techniques for optimizing Python code performance, including efficient data structures, built-in functions, and alternatives to loops, with real-world examples and benchmarks.
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.