A Gentle Introduction to Data Science
Explore data science fundamentals, from AI's influence to practical machine learning in Python. Covers key concepts, problem-solving applications, and essential Python tools for aspiring data scientists.
Baby Steps in Short-Text Classification with Python
Explore short-text classification using Python, from problem approach to model deployment. Learn about Naive Bayesian models, alternative algorithms, and practical implementation in production environments.
Help Us Build the Next Edition
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.
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.
A Journey into Git Internals with Python
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.
Declarative Thinking and Programming
Explore declarative programming paradigms, their advantages, and practical Python applications. Learn to write more efficient, scalable code using list comprehensions, dictionaries, and PyDatalog.
Community Teaching Practices
Panel discussion sharing experiences and best practices for teaching Python to newcomers from diverse backgrounds, featuring insights from volunteers of various coding education initiatives.
Dockerized Pytests
Explore containerizing pytest environments to replicate Jenkins setups locally, addressing challenges in custom plugins and dependencies for improved debugging and team collaboration.
Fighting the Controls - Tragedy and Madness for Programmers and Pilots
Explore parallels between debugging in programming and crisis management in aviation, uncovering strategies to improve troubleshooting techniques and avoid common pitfalls in software development.
Scripting Across Hosts with Chopsticks
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.
How Booking.com Serves Deep Learning Model Predictions
Discover Booking.com's approach to deploying deep learning models in production, covering training, automated retraining, deployment, and optimization for latency and throughput.
Explaining Behavior of Machine Learning Models with ELI5 Library
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.
Developing Elegant Workflows in Python Code with Apache Airflow
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.
AI on a Pi
Explore Deep Learning with Python and MXNet, including practical demonstrations on a Raspberry Pi for computer vision and natural language processing tasks.
Cloud Native Python in Kubernetes
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.
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.
Using Python and Microservices to Fuel WebPush at Mozilla
Explore WebPush technology, its implementation at Mozilla using Python and microservices, and learn how to integrate it into web applications for enhanced user engagement.
Type Annotations in Python 3 - Whats, Whys & Wows!
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.
When Django is Too Bloated - Specialized Web-Applications with Werkzeug
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.
Optimizing Queries for Not So Big Data in PostgreSQL
Optimizing PostgreSQL queries for medium-sized datasets: strategies for efficient database design, query optimization, and maintenance to handle high-volume data and requests.