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Development Tools for Data Science and Interactive Programming

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Traditional Integrated Development Environments (IDEs) have focused on the tasks of software development: writing, testing, and shipping code. Coding for data science, machine learning, AI, and deep learning require a different set of tools. This talk will discuss the data science development cycle and demo how RStudio Server and R Notebooks can increase productivity and reproducibility. We’ll also discuss how elements of traditional software tools (project structure, version control, documentation) still play an important role in interactive languages like R.

DeveloperWeek 2017

DeveloperWeek 2017 is the world’s largest developer expo and conference series with over 50 week-long events including the DeveloperWeek 2017 Conference & Expo (8,000 attendees), the DeveloperW...