  This paper lays out the current landscape of tools used in statistics
education. In particular, it considers graphing calculators, spreadsheets,
applets and microworlds, standalone educational software, statistical
programming tools, tools for reproducible research and bespoke tools. The
strengths and weaknesses of the tools are considered, particularly in the
context of McNamara (2016)'s list of attributes for a statistical computing
tool. Best practices for computing in introductory statistics are suggested.
