EuroPython Conference Courses

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.

• YouTube
• 44 minutes
• On-Demand
• Conference Talk

Lies, Damned Lies, and Statistics

Explore common statistical fallacies and learn to recognize misleading data interpretations. Gain insights on correlation, bias, and significance to draw accurate conclusions from statistics.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

Rust and Python - Oxidize Your Snake

Explore integrating Rust with Python for faster, safer native modules. Learn about PyO3 library, compare it with alternatives, and see how to enhance Python's performance and concurrency.

• YouTube
• 31 minutes
• On-Demand
• Conference Talk

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.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

Programming Paradigms for Physical Computing and IoT

Explore multi-paradigm programming for GPIO devices on Raspberry Pi, from simple scripts to complex interactions, using Pythonic code for IoT and physical computing applications.

• YouTube
• 41 minutes
• On-Demand
• Conference Talk

The Challenges of Maintaining a Popular Open-Source Project

Insight into maintaining popular open-source projects, discussing challenges, community support, and personal growth. Explores balancing responsibilities, setting expectations, and fostering a healthy FOSS ecosystem.

• YouTube
• 41 minutes
• On-Demand
• Conference Talk

Creating Solid APIs

Discover best practices for creating developer-friendly APIs, covering documentation, standardization, authentication, versioning, and real-world examples from major platforms.

• YouTube
• 44 minutes
• On-Demand
• Conference Talk

System Testing with Pytest, Docker, and Flask

Learn to combine Pytest fixtures with Docker for high-level integration testing of microservices, and embed mock web services using Flask to control and verify system component interactions.

• YouTube
• 34 minutes
• On-Demand
• Conference Talk

Python 3 - Ten Years Later

Explore Python 3's evolution over a decade, including language improvements, performance gains, and transition challenges. Learn about key updates and future directions for Python development.

• YouTube
• 45 minutes
• On-Demand
• Conference Talk

Addressing Multithreading and Multiprocessing in Transparent and Pythonic Ways

Explore advanced Python techniques for efficient multithreading and multiprocessing, including GIL management, static multiprocessing, and thread pool control for optimal performance on multi-core systems.

• YouTube
• 43 minutes
• On-Demand
• Conference Talk

A Tale of Refactoring

Explore a practical approach to refactoring large, complex functions using Python's dynamic features, improving code maintainability and performance through real-world examples.

• YouTube
• 52 minutes
• On-Demand
• Conference Talk

Exploring the Python AST Ecosystem

Dive into Python's abstract syntax tree ecosystem, exploring tools for visualization, creation, and transformation. Learn practical applications in static analysis and metaprogramming for enhanced code manipulation.

• YouTube
• 47 minutes
• On-Demand
• Conference Talk

Productionizing Your ML Code Seamlessly

Learn to seamlessly transition ML code from experimental notebooks to production, focusing on development workflows, reliable deployment, and long-term maintenance for valuable insights and predictions.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

Help Us Build the Next Edition

Discover how to contribute to EuroPython's organization, learn about the workgroup model, and find opportunities to help shape the next conference edition.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk

Trust Me, I'm a Data Scientist - Ethics for Builders of Data-Based Applications

Explore ethical pitfalls in data science through a practical example, covering algorithmic fairness, model interpretability, and handling minority classes in AI applications.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk