  Python is a particularly appealing language to carry out data analysis, owing
in part to its user-friendly character as well as its access to well maintained
and powerful libraries like NumPy and SciPy. Still, for the purpose of
analyzing data in a lattice QCD context, some desirable functionality is
missing from these libraries. Moreover, scripting languages tend to be slower
than compiled ones. To help address these points we present the
AnalysisToolbox, a collection of Python modules to facilitate lattice QCD data
analysis. Some highlighted features include general-purpose jackknife and
bootstrap routines; modules for reading in and storing gauge configurations; a
module to carry out hadron resonance gas model calculations; and convenience
wrappers for SciPy integration, curve fitting, and splines. These features are
sped up behind the scenes using parallelization and just-in-time compilation.
