The kitchen sink of Python utility libraries for doing “stuff” in a functional way. Based on the Lo-Dash Javascript library.
Note
Looking for a library that is more memory efficient and better suited for large datasets? Check out fnc! It’s built around generators and iteration and has iteratee-first function signatures.
Links
Project: https://github.com/dgilland/pydash
Documentation: http://pydash.readthedocs.org
Github Actions: https://github.com/dgilland/pydash/actions
Release files for pydash 8.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pydash-8.1.0.tar.gz | 167.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pydash-8.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 270.5 kB
Release files / pydash-8.1.0.tar.gz
| Download URL | pydash-8.1.0.tar.gz |
|---|---|
| Size | 167.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
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Release files / pydash-8.1.0-py3-none-any.whl
| Download URL | pydash-8.1.0-py3-none-any.whl |
|---|---|
| Size | 102.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
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