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Streamline Python app deployment from local to cloud with CLI templates. Scaffold, provision, deploy, monitor, and set up CI/CD pipeline efficiently, saving time on infrastructure setup and configuration.
Explore best practices for building serverless solutions with Python, focusing on API calls, streaming data, and ML inference. Learn techniques for production-grade systems with observability.
Explore the benefits of Python type hints in machine learning, from improving code quality to organizing multimodal data and bridging the gap between training and deployment.
Create stunning Data Science web apps with Taipy, a low-code Python package. Learn to build interactive AI applications using Taipy Core, GUI, and Studio for efficient data exploration and pipeline execution.
Explore building LLM-based agents with Haystack, connecting them to tools and knowledge bases for smart NLP-driven applications. Learn practical use cases and code examples for developing agent-driven solutions.
Explore how PyCharm enhances Django development with advanced tooling, improving navigation, refactoring, and testing. Learn to boost productivity and create a joyful development experience for fullstack and API web projects.
Modernize legacy Flask applications using code quality tools and best practices. Learn to set up workflows that reduce technical debt and ensure sustainable codebases over time.
Bloomberg engineers discuss their engagement in Python's open source ecosystem and introduce new troubleshooting tools, showcasing the company's contributions to the Python community.
Explore PyTorch's innovative Python compiler, designed to enhance AI/ML performance while maintaining Python roots. Learn about the development process, challenges, and significant performance improvements achieved.
Explore various open-source Python profiling technologies, their tradeoffs, and visualization methods like flow charts, call trees, and flamegraphs in this hands-on workshop.
Exploring distributed computations in Python across diverse hardware, addressing challenges and strategies for optimal performance in heterogeneous computing environments.
Explore building backend APIs with Flask and implementing feature flags using LaunchDarkly to ship faster and safer. Learn hands-on examples and best practices for risk mitigation in API development.
Learn to create a hyperspace navigation app using graphs in Python, replacing complex if-then statements for improved code readability and flexibility. Explore graph data structures and modeling techniques.
Explore balancing privacy and utility in AI language models, focusing on protecting sensitive data while maximizing ChatGPT's benefits. Learn about PII removal, secure enclaves, and privacy-aware LLM applications.
Explore Python 3.11's new specializing, adaptive interpreter, its self-optimizing techniques, and performance improvements, with insights on future enhancements and optimization challenges.
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