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Explore Python's multiple inheritance, from the diamond problem to mixins. Understand Method Resolution Order, super() function, and real-world applications. Learn effective implementation and alternatives.
Explore scaling challenges and solutions for high-load services, focusing on metrics, logging, and tracing for processing over 50TB of daily telemetry data.
Explore Python's unique approach to objects, instances, classes, types, and metaclasses through live coding examples. Uncover surprising truths and clear up common misconceptions about object-oriented programming in Python.
Explore using pgvector and PostgreSQL to automate finding photos of yourself at events. Learn to extract faces, calculate embeddings, and query image data efficiently.
Découvrez des outils et techniques pour démarrer efficacement vos projets Python, de la configuration à la gestion des dépendances, en passant par les tests et l'intégration continue.
Explore battle-tested techniques to enhance test suite maintainability. Learn fixture factories, effective mocking, parametrized fixtures, and alternative test categorization for more reliable Python testing.
Explore sentence embeddings in dialog systems, focusing on classification. Learn to fine-tune top-performing small-sized sentence transformers using SentenceTransformers framework with practical examples.
Explore performance improvements in NumPy 2.0's string operations, delving into ufunc internals, dtypes, and type promotion for a deeper understanding of the enhancements.
Explore tech leadership challenges, strategies for balancing technical expertise with management, and fostering inclusive engineering cultures. Gain insights on navigating managerial roles in the dynamic tech industry.
Explore Hypothesis library for creating robust test inputs, focusing on edge cases. Learn to use Ghostwriting to generate tests from type hints, saving time and validating code.
Explore thread safety challenges in Python, understand race conditions, GIL's impact on multithreading, and learn to fix unsafe code using synchronization primitives.
Explore Fully Homomorphic Encryption (FHE) and its applications in privacy-preserving machine learning. Learn to use OpenFHE's Python interface for encrypted computing, with practical examples and concepts.
Explore diverse Python topics in rapid-fire talks, from matrix arithmetic and 3D modeling to garbage collection and presentation skills. Gain insights from experts in this engaging lightning talk session.
Explore Python's memory management, PEP 683's origins, and its impact on future developments like GIL changes and true parallelism. Gain insights into optimizing large-scale applications.
Explore data load tool (dlt) to streamline data science workflows, overcome roadblocks, and transition smoothly from exploration to production. Learn best practices for data handling and managing failures with real-life examples.
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