Explore the powerful combination of Jupyter notebooks and C++ in this ACCU 2019 conference talk. Dive into a live demonstration showcasing Jupyter's versatility beyond data science, focusing on its integration with the Cling C++ interpreter. Learn about installation prerequisites, interface guidance, and witness hands-on examples of prototyping and exploratory potential. Discover how to leverage Jupyter for C++ development, including error handling, function and class creation, template usage, and magic commands. Gain insights into loading libraries, documentation completion, and editor features. Compare C++ implementation with Python alternatives, and explore advanced topics such as JSON and HTML manipulation, NumPy integration, and data visualization using widgets and plotting libraries. Understand best practices for using Jupyter with C++ and see practical applications in geospatial data representation and teaching programming concepts.