PyToolz API Documentation ========================= 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. BSD licensed source code is available at http://github.com/pytoolz/toolz/ . Contents ^^^^^^^^ .. toctree:: :maxdepth: 2 heritage.rst install.rst composition.rst purity.rst laziness.rst control.rst curry.rst streaming-analytics.rst parallelism.rst api.rst tips-and-tricks.rst references.rst