Toolz provides a set of utility functions for iterators, functions, and
dictionaries. These functions interoperate well and form the building blocks
of common data analytic operations. They extend the standard libraries
itertools and functools and borrow heavily from the standard libraries of
contemporary functional languages.
Toolz provides a suite of functions which have the following functional
virtues:
Composable: They interoperate due to their use of core data structures.
Pure: They don’t change their inputs or rely on external state.
Lazy: They don’t run until absolutely necessary, allowing them to support
large streaming data sets.
Toolz functions are pragmatic. They understand that most programmers have
deadlines.
Low Tech: They’re just functions, no syntax or magic tricks to learn
Tuned: They’re profiled and optimized
Serializable: They support common solutions for parallel computing
This gives developers the power to write powerful programs to solve complex
problems with relatively simple code. This code can be easy to understand
without sacrificing performance. Toolz enables this approach, commonly
associated with functional programming, within a natural Pythonic style
suitable for most developers.
