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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 DIY home automation using microcontrollers and CircuitPython. Learn key concepts, use emulators, and see real projects like a robot cleaner and plant monitoring system.
Explore functional programming concepts in Python, including pure functions, side effects, and decorators. Learn to implement functional patterns for robust, concise, and easily testable code.
Explore building an interactive dashboard using Python to relive past travels during lockdown. Learn data processing, visualization, and integration of external sources for a personalized virtual tourism experience.
Explore how misleading terminology in programming can lead to confusion, using metaclasses and AI as examples. Learn the importance of clear naming for better understanding.
Exploring strategies for open source sustainability, from donation-based models to helping companies understand the business value of contributing to open source projects.
Explore the fascinating world of Python development, including insider stories, bug battles, and unexpected challenges faced by the core team.
Explore PostgreSQL's exclusive features and superpowers in Django projects, leveraging built-in contrib modules and third-party packages for enhanced database functionality.
Explore BBC News Labs' innovative approach to enriching digital output using Python and AWS, focusing on extracting detailed information from TV and radio programme running orders.
Discover the benefits of Python pet projects for tech leaders: stay updated, avoid micromanagement, and foster team autonomy while honing your skills.
Explore Hypertag, an indented language for HTML generation and web templating, featuring custom tags, DOM manipulation, and Python-like imports for enhanced code reuse and modularity.
Explore Cython+ extension with GIL-free types, thread-safe reference counting, and ownership-based concurrency, bridging high-level Python semantics with low-level C performance.
Learn to implement type hints in Django projects, covering views, models, and querysets. Explore tools, limitations, and mypy configuration for effective type checking in Python 3.9.4+.
Explore Python and SPARQL to extract structured knowledge from Wikipedia, creating datasets and corpora for data science projects without traditional web scraping techniques.
Descubre cómo Sentry mejora el seguimiento de errores en aplicaciones web en tiempo real. Aprende a implementarlo, leer informes y optimizar su uso tanto en backend como frontend.
Explore efficient data processing using Cython to leverage native C/C++ data structures, optimizing performance for large-scale numerical and string operations in Python.
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