EuroPython Conference Courses

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.

• YouTube
• 26 minutes
• Self-Paced
• Conference Talk

Decision Science with Probabilistic Programming

Explore generative models and probabilistic programming for decision-making under uncertainty, integrating with robust optimization techniques to enhance business strategies.

• YouTube
• 54 minutes
• Self-Paced
• Conference Talk

Boosting Simulation Performance with Python

Explore discrete-event simulation for robotics, boosting performance and determinism. Learn to overcome challenges in event-driven systems and distributed simulations for faster development and testing cycles.

• YouTube
• 26 minutes
• Self-Paced
• Conference Talk

Diffprivlib - Privacy-Preserving Machine Learning with Scikit-Learn

Explore differential privacy in machine learning using Diffprivlib, a tool for training accurate models with robust privacy guarantees, seamlessly integrating with scikit-learn and numpy.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk

So, You Want to Build an Anti-Virus Engine?

Learn to build an Android malware analysis engine using Python, combining criminal law principles with bytecode analysis to create a robust scoring system that can detect threats even in obfuscated code.

• YouTube
• 42 minutes
• Self-Paced
• Conference Talk

Detecting and Analyzing Solar Panels in Switzerland Using Aerial Imagery

Explore innovative techniques for detecting and analyzing solar panels in Switzerland using aerial imagery, enhancing renewable energy mapping and urban planning strategies.

• YouTube
• 29 minutes
• Self-Paced
• Conference Talk

Building Smarter Solutions with No Expertise in Machine Learning

Explore practical ML solutions using existing models and AutoML techniques, with interactive demonstrations and insights for quick implementation without deep expertise.

• YouTube
• 45 minutes
• Self-Paced
• Conference Talk

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.

• YouTube
• 26 minutes
• Self-Paced
• Conference Talk

Elegant Exception Handling

Discover effective techniques for elegant exception handling in Python, improving code readability and robustness while addressing common challenges and best practices.

• YouTube
• 28 minutes
• Self-Paced
• Conference Talk

Difficulties of Python Code Development - Packages, Virtualenvs and Package Managers

Explore Python development essentials: packages, virtual environments, and package managers. Learn pros and cons, best practices, and tools for efficient code management and dependency resolution.

• YouTube
• 45 minutes
• Self-Paced
• Conference Talk

15 Things You Should Know About Spacy

Discover 15 key insights about spaCy, an open-source NLP library for Python. Learn its strengths, limitations, and practical applications for processing and understanding large text corpora.

• YouTube
• 29 minutes
• Self-Paced
• Conference Talk

Docker and Python - Making Them Play Nicely and Securely for Data Science and ML

Learn Docker best practices for data-intensive Python applications, covering image optimization, security, automation, and efficient deployment workflows in Data Science and Machine Learning contexts.

• YouTube
• 46 minutes
• Self-Paced
• Conference Talk

Attractive GUIs with PySimpleGUI

Learn to create attractive and functional GUIs with PySimpleGUI, bridging the gap between complex frameworks and limited design tools. Explore its design philosophy and practical applications.

• YouTube
• 28 minutes
• Self-Paced
• Conference Talk

Deploy Your Machine Learning Bots Like a Boss with CI/CD

Learn to deploy machine learning chatbots using CI/CD, covering load balancing, testing, and model retraining. Gain practical insights for taking prototypes to production and iterating faster.

• YouTube
• 28 minutes
• Self-Paced
• Conference Talk

Painless Machine Learning in Production

Discover strategies for efficient machine learning deployment, covering infrastructure, tooling, and best practices for managing the ML lifecycle in production environments.

• YouTube
• 43 minutes
• Self-Paced
• Conference Talk