Penut
Introduction
- GitHub
- PyPI
- This package is a collection of my useful functions.
- Including useful IO operation and NLP utils.
Installation
- You can install this package through pip:
pip install penut
Usage
- You can easily load or dump and json/pkl/csv/npy file:
import penut.io as pio data = pio.load('./data.json') data = pio.load('./data.pkl') data = pio.load('./data.csv') data = pio.load('./data.npy') pio.dump(data, './data.json') pio.dump(data, './data.pkl') pio.dump(data, './data.csv') pio.dump(data, './data.npy')
- You can easily measure the execute time of code:
from penut.uitls import TimeCost with TimeCost('Sleep Time'): import time time.sleep(1) # Output: Sleep Time: 1.000262s
Release files for penut-utils 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 | |
|---|---|---|---|
| penut-utils-0.0.1.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| penut_utils-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.4 kB
Release files / penut-utils-0.0.1.tar.gz
| Download URL | penut-utils-0.0.1.tar.gz |
|---|---|
| Size | 3.0 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/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.4
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Release files / penut_utils-0.0.1-py3-none-any.whl
| Download URL | penut_utils-0.0.1-py3-none-any.whl |
|---|---|
| Size | 4.4 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/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.4
|