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Explore Meta's innovative approach to improving Python performance at scale by statically linking native extensions, featuring insights on linkers, loaders, and binary layout optimization.
Learn to create native cross-platform apps using Python and BeeWare. Build a single codebase that deploys to desktop and mobile, integrate third-party libraries, and access device hardware.
Explore Python's unique features and fundamental concepts, including mutability, object behavior, lambda functions, decorators, and iterables, to enhance your programming skills.
Explore zero-data model training using foundational models to create task-specific models without new data. Learn techniques for leveraging open-source tools in your projects.
Learn to monitor and reduce carbon emissions of Python code through observability techniques, custom metrics, and visualization tools. Gain practical skills for sustainable tech development.
Explore functional programming in Python, learning features and techniques to enhance program design. Discover alternative problem-solving approaches and expand your programming toolkit.
Unveiling Pydantic's latest innovation: a comprehensive demo and explanation of their newly announced platform, showcasing its features and potential impact on Python development.
Explore Ibis for high-speed data analysis across various backends. Learn dataframe operations, backend selection, and integration with Python data tools for efficient large-scale analytics.
Discover strategies for efficient Python project development and testing, focusing on minimizing resource usage and environmental impact while maximizing productivity.
Explore Python's internals by implementing C/C++-style pointers, covering syntax addition, custom builtins, object layout, lifecycle management, and garbage collection mechanisms.
Dive into API security for Python apps. Learn authentication, authorization, OWASP top 10 vulnerabilities, OAuth, OIDC, JWTs, and automated security testing. Practical examples using Flask and FastAPI.
Explore network analysis with Python to uncover hidden connections in everyday interactions, from social media to transportation, and gain insights into their impact on our lives.
Discover strategies for teaching Python to secondary students and learn about its growing role in education. Join the Python education community and explore evidence-based teaching methods.
Discover techniques for optimizing Django application performance using Blackfire. Learn to analyze resource consumption, meet performance budgets, and seamlessly integrate performance testing across development stages.
Explore data validation techniques for large-scale datasets using Spark and Dask. Learn to transition from single-machine to distributed computing, combining frameworks for efficient validation across partitions.
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