Productionizing Jupyter Notebooks - From Development to Production Environments
Data Science Conference via YouTube
Overview
Learn how to effectively transition Jupyter notebooks from development to production in this technical tutorial from Data Science Conference Europe 2023. Explore the challenges of production readiness, version control, testing, reproducibility, and modularity in data analytics and machine learning workflows. Discover practical solutions through the Versatile Data Kit (VDK) tool, which addresses common issues in deploying production-ready code and ensuring linear execution for reproducibility. Master techniques for optimizing the development-to-production pipeline, enhancing efficiency in data analytics projects, and maintaining code quality throughout the deployment process. Gain valuable insights from Antoni Ivanov's expertise in streamlining the productionization of notebooks for real-world applications.
Syllabus
Productionizing Jupyter Notebooks | Antoni Ivanov | DSC Europe 23
Taught by
Data Science Conference