Pydash is a Python port of the JavaScript utility library Lo-Dash, providing a comprehensive set of functional programming helpers for collections, objects, strings, and more. It aims to simplify common programming tasks with a functional, declarative style. The current version is 8.0.6, and it follows an infrequent release cadence, often aligning with major Lo-Dash updates or significant Python ecosystem changes.
pip install pydashVerified import paths — ran on the pinned version, not inferred.
This quickstart demonstrates fetching nested data, filtering collections, and chaining multiple operations in a functional style, which is a core feature of pydash. It uses common functions like `get`, `filter_`, `map_`, and `chain`.
Update your code to use the underscore-suffixed versions (e.g., `pydash.map_`, `pydash.filter_`). Refer to the v8.0.0 release notes for a complete list of renamed functions.
Consider importing `pydash` directly without an alias, or use a less common alias if conflicts arise. E.g., `import pydash` and use `pydash.get(...)` instead of `_.get(...)`.
Always check the documentation for specific functions to understand whether they mutate their inputs or return new objects. When in doubt, assume a new object is returned unless explicitly stated as an in-place modification.
pip install pydash
Use the underscore-suffixed version of the function (e.g., `pydash.map_`) or use the `py_` instance, which handles these aliases correctly (e.g., `from pydash import py_; py_.map(...)`).
Ensure that the target object and all intermediate path components are valid, mutable containers (like dictionaries or lists) where new keys or indices can be set, or handle potential `None` values explicitly before attempting to access or set nested paths.
Import the `py_` instance from pydash, typically aliasing it to `_` for convenience: `from pydash import py_ as _`.
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