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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 techniques for integrating C and Python to create powerful, high-performance applications with enhanced functionality and speed.
Explore generative art using Python, Processing, PyCairo, and webGL. Learn to create aesthetic visuals with algorithms, geometric patterns, and mathematical functions.
Uncover critical security risks in machine learning lifecycle, from training to deployment. Learn practical mitigation strategies and tools to secure ML systems effectively.
Dive into CPython's source code by implementing a pipe operator, exploring grammar, syntax trees, and core internals. Learn to navigate and modify Python's codebase for better understanding and potential contributions.
Explore geospatial Python libraries for Multi-Criteria Decision making, including imagery dataset processing, overlay analysis, and zonal statistics. Learn to create intuitive geo-visualization portals using vector tiles.
Explore Jupyter's architecture: from notebook server to IPython kernel. Dive into REST APIs, ZMQ sockets, and internal workings of Jupyter Notebook, JupyterLab, and JupyterHub.
Comprehensive framework for evaluating machine translation engines, covering various datasets, metrics, and both cloud-based and open-source solutions. Includes results from healthcare-specific fine-tuning.
Learn to build automated refactoring tools using LibCST and MonkeyType for large Python codebases, and automate code reviews with GitPython/PyGithub to improve code quality at scale.
Discover MicroPython: a Python implementation for microcontrollers. Learn about its applications, from educational boards to commercial use, and explore the vibrant community behind this innovative technology.
Discover how Python and data science tools can revolutionize research in arts, humanities, and social sciences. Learn practical tips for overcoming programming fears and applying data-driven methods to real-world problems.
Learn to create a personalized playlist recommender system using Python and Spotify GDPR data. Analyze listening history, enrich with audio features, and rediscover forgotten favorites from your past.
Explore Robyn, a high-performance async Python web framework with a Rust runtime. Learn its creation, technical decisions, performance benefits, and future plans for web app development.
Explore gRPC in Python: Learn about Protocol Buffers, build a basic gRPC service, and discover how to create communicating clients and servers for efficient, scalable distributed systems.
Learn to create interactive web maps using Django's GeoDjango module, from simple Spatialite-based maps to complex PostGIS-powered solutions, without relying on external services.
Explore the intersection of computer science and media bias analysis, examining perceived polarization in news through neural networks and SVMs, with surprising insights on mainstream media's impact.
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