NLIDataPrep
Package for data preprocessing and preparation.
This package contains tools and utilities to work with messy data and prepare tabular data to MARC mapping and conversion.
Installation
Run the following to install
pip install NLIDataPrep
Usage
from NLIDataPrep as NDP import *
Developing NLIDataPrep
To install NLIDataPrep, along with the tools you need to develop and run tests, run the following command in your virtualenv:
$ pip install -e .[dev]
1 maintainer
Release files for NLIDataPrep 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| NLIDataPrep-0.0.1.tar.gz | 40.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| NLIDataPrep-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 54.3 kB
Release files / NLIDataPrep-0.0.1.tar.gz
| Download URL | NLIDataPrep-0.0.1.tar.gz |
|---|---|
| Size | 40.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.6rc1
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Release files / NLIDataPrep-0.0.1-py3-none-any.whl
| Download URL | NLIDataPrep-0.0.1-py3-none-any.whl |
|---|---|
| Size | 14.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.6rc1
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