A C++17 header-only library providing Python-style lazy iteration tools like range, enumerate, zip, and itertools functions.
CPPItertools is a header-only C++17 library that implements Python-style iteration utilities for modern C++. It provides lazy-evaluated tools like `range`, `enumerate`, `zip`, and combinatorial functions, enabling expressive sequence manipulation without the overhead of eager evaluation. The library solves the problem of verbose and inefficient iteration patterns in C++ by offering a clean, Python-inspired API.
C++ developers working with sequential data processing, algorithm implementation, or scientific computing who want more expressive iteration patterns. It's particularly useful for those familiar with Python's itertools who are writing performance-critical C++ code.
Developers choose CPPItertools because it provides a comprehensive set of lazy-evaluation iteration tools with zero runtime overhead for header-only inclusion. Unlike manual loop writing or other C++ iteration libraries, it offers direct Python semantics translation, proper rvalue/lvalue handling, and optional pipe syntax for fluent chaining.
Implementation of python itertools and builtin iteration functions for C++17
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Most operations like range and filter are evaluated on-demand, minimizing memory overhead and enabling infinite sequences, as demonstrated in the count example.
Offers familiar functions such as enumerate, zip, and combinations with semantics similar to Python's itertools, easing adoption for Python developers.
Easy integration with no compilation required; just include headers, reducing build complexity and setup time.
Properly handles lvalues and rvalues by moving temporaries when necessary, as explained in the handling of rvalues vs lvalues section.
Supports optional pipe operator for fluent chaining of operations, improving code readability, though not all tools support it.
zip_longest requires Boost.Optional, introducing an external dependency that isn't needed for other parts of the library, complicating dependency management.
Some utilities like cycle, groupby, and sorted require ForwardIterators, limiting compatibility with input-only iterators and adding constraints.
Not all tools support the pipe syntax, leading to an inconsistent API experience, as listed in the README for tools like unique_everseen with custom callables.
Developers unfamiliar with Python's itertools may find the API non-intuitive compared to traditional C++ loops, requiring additional ramp-up time.