Download Handout Version (PDF)
Download High Quality Version (PDF, 5MB)
Watch Last Years' Presentation
ArcGIS developers build rich tools and applications that help solve a wide variety of real-world problems. In this session, learn how to expand your domain of expertise into the world of scientific data management and analysis. Explore how to ingest, analyze and integrate scientific data and methods into your applications using SciPy. SciPy is a rich set of Python modules for scientific and technical computing. This session will focus on how you can leverage SciPy to be more efficient, solve challenging scientific problems from within ArcGIS, and build hybrid applications that capitalize on both the strengths of ArcGIS and the Python ecosystem. Using real-world case studies explore best practices and programming patterns for leveraging SciPy.
- From
slides/, runmaketo rebuild the slide deck from the included slides.md file. Requires Pandoc. - Check links with
make check, requires LinkChecker. - Generate handout version with
make pdf. Requires XeTeX and pandoc. - Generate high-quality PDF with
make fullpdf. Requires decktape.js