Python convtools library – code generation for data transforms

What it does

convtools lets you declare data transformations in plain Python, then compiles them into tiny, optimized Python functions at runtime. You keep your data in native iterables (lists, dicts, generators, CSV streams)—no heavy container required. The examples below build on this model. Methods such as c.iter(...) change what c.this refers to, while terminal operations decide whether a result is a lazy iterator or a concrete collection. Uses c.iter to express a per‑row transform and .as_type(list) to collect. Reducers support where filters and sensible defaults. c.group_by(...).aggregate(...) returns a list you can sort, filter, or map further. c.join returns (left, right) tuples; c.LEFT /…from convtools.readthedocs.io

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