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Explore all talks and presentations from EuroPython. Dive deep into the latest insights, research, and trends from the world's leading experts.
Explore generative art using Python, Processing, PyCairo, and webGL. Learn to create aesthetic visuals with algorithms, geometric patterns, and mathematical functions.
Explore techniques for integrating C and Python to create powerful, high-performance applications with enhanced functionality and speed.
Discover how to automate and streamline machine learning workflows using DVC, from data ingestion to model deployment. Learn to organize pipelines efficiently, regardless of project size.
Prepare your Python project for production deployment with essential checklist, Docker image optimization, environment differences, and real-world strategies for handling exceptions, logs, and metrics.
Discover 15 essential Python tips for effective data cleaning and understanding, focusing on Pandas and NumPy libraries to enhance your data analysis skills.
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.
Explore Python's data visualization libraries including Matplotlib, Plotly, Bokeh, and Altair. Learn about dashboarding solutions like Dash, Panel, and Voila, and understand their key features and recent developments.
Discover NLPeasy: a streamlined workflow for analyzing, enriching, and exploring textual data using pre-trained models, Docker, and Jupyter Notebooks. Simplify your NLP projects with this powerful Python package.
Strategies and experiences for migrating large Python 2 codebases to Python 3, using a real-world case study of a CMS with nearly one million lines of code. Practical insights for successful migration projects.
Ray: open-source framework for scaling Python applications from laptop to cluster, solving performance challenges in ML/AI systems. Learn its features, use cases, and how it compares to alternatives.
Learn to optimize deep learning computations by writing custom C and CUDA extensions for GPU, with a focus on image search across billions of items and seamless integration with Python codebases.
Explore Neural Style Transfer using GANs, including challenges, technicalities, and applications in gaming, fashion, and mobile apps. Learn about loss functions and see code examples.
Discover the essentials of machine learning, neural networks, and reinforcement learning in this engaging talk. Gain practical insights and witness a mind-blowing demo to kickstart your ML journey.
Discover IPython's power for rapid development, including magic commands, external processes, and integration with existing tools. Learn popular extensions and configuration hacks applicable to Jupyter.
Explore async programming in Python, focusing on its benefits for web applications. Learn to transform Flask apps to Sanic, with tips on measuring, monitoring, and testing async code.
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