
Découvrez comment contribuer à l'organisation d'EuroPython 2018. Apprenez le fonctionnement des groupes de travail et identifiez les domaines où vous pouvez apporter votre aide pour cet événement majeur.

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.

Explore Git's inner workings using Python, demystifying its principles and commands. Gain deeper understanding of Git's structure, content addressing, and operations like branching and merging.

Explore declarative programming paradigms, their advantages, and practical Python applications. Learn to write more efficient, scalable code using list comprehensions, dictionaries, and PyDatalog.

Panel discussion sharing experiences and best practices for teaching Python to newcomers from diverse backgrounds, featuring insights from volunteers of various coding education initiatives.

Explore containerizing pytest environments to replicate Jenkins setups locally, addressing challenges in custom plugins and dependencies for improved debugging and team collaboration.

Explore Chopsticks, a Python tool for remote code execution over SSH, enabling parallel processing across hosts without deployment. Learn its API, clever tricks, and versatile applications.

Discover Booking.com's approach to deploying deep learning models in production, covering training, automated retraining, deployment, and optimization for latency and throughput.

Explore techniques for interpreting and debugging ML models using eli5 library. Learn to explain linear models, decision trees, ensembles, and classifiers, improving trust and quality in ML solutions.

Learn to orchestrate data processing pipelines using Apache Airflow. Discover how to define, manage, and extend workflows with Python code, creating resilient and efficient data processing systems.

Explore Deep Learning with Python and MXNet, including practical demonstrations on a Raspberry Pi for computer vision and natural language processing tasks.

Explore cloud-native Python in Kubernetes: containerization, scaling, logging, health checks, and monitoring. Learn to optimize applications for dynamic cloud environments and improve operational efficiency.

Discover how stream-oriented processing can revolutionize your approach to application development, offering natural service boundaries, flexible data schemas, and improved scalability.

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.

Explore WebPush technology, its implementation at Mozilla using Python and microservices, and learn how to integrate it into web applications for enhanced user engagement.

Explore Python 3 type annotations: syntax, benefits, and practical applications. Learn to enhance code security, leverage popular libraries, and build custom extensions using type hints.

Explore Werkzeug, a lightweight Python HTTP/WSGI utility, for building flexible web applications. Learn how to create custom stacks beyond traditional frameworks for specialized needs.

Explore network visualization and automation using Python's tkinter library, covering graph drawing algorithms, GIS implementation, and automated script generation for network devices.

Discover techniques for rapid product iteration using Django Rest Framework, including architecture evolution, key decisions, and lessons learned from a year-long web platform development.

Explore flexible machine learning with Nonparametric Bayesian Models. Learn about Dirichlet Process, compare parametric vs nonparametric approaches, and discover relevant Python libraries for advanced data analysis.

Aprende a visualizar datos geográficos utilizando herramientas como Bokeh, Holoviews y Datashader. Explora técnicas para representar información de Airbnb en mapas interactivos y dashboards dinámicos.