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Explore Kubernetes operators for building internal dev platforms. Learn about platform engineering, K8s control plane, custom controllers, and see a practical demo.
Learn a practical 3-step approach to modernize monolithic systems into microservices, covering decomposition strategies, the strangler fig pattern, and automation tools for seamless migration.
Explore various functor types in Python, from basic to advanced, including covariant, contravariant, applicative, and profunctors. Gain insights into functional programming concepts and their practical applications.
Explore next-generation multi-party computation software and its applications in security, privacy, and data analysis. Learn about secret sharing, operations, and real-world implementations.
Explore visual generative AI, from diffusion models to future implications. Gain insights on current research, limitations, and navigating AI growth in this comprehensive overview.
Explore streaming DataFrames as a novel approach to process real-time data, enhancing efficiency and simplifying stream processing workflows for Python developers.
Explore SuperDuperDB: Integrate AI directly with databases, simplify ML production, and manage data-centric AI applications effortlessly using Python-first, open-source tools.
Explore AI and transformers in healthcare, focusing on anomaly detection, data annotation, and machine learning frameworks. Learn about challenges, implementations, and generative AI applications.
Explore software safety through SBOMs: Learn to create, analyze, and distribute software bills of materials for enhanced security and transparency in your applications.
Explore generational differences in tech, from Silent to Alpha. Understand myths, facts, and unique characteristics of each cohort to foster better intergenerational collaboration.
Explore strategies for optimizing machine learning model development, balancing speed and accuracy. Learn to assess business objectives, improve data quality, and select efficient features and models.
Explore Python's role in cutting-edge language model research, focusing on mechanistic interpretability, causal interventions, and practical examples using interpretability libraries.
Explore Python codemods for automated code improvements, focusing on security enhancements, resource management, and performance optimization using open-source tools and custom plugins.
Master advanced API design techniques for scalable distributed systems, covering REST, Thrift RPC, asynchronous calls, rate limiting, and idempotency.
Explore WebAssembly's potential in cloud computing. Learn to build serverless apps with Python and Spin, understanding WASM's benefits and its impact on cloud architecture.
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