PyCoLA : Python Module to parse the job bulletins and generate a structure file
Kaggle : Data Science for Good Challenge
https://www.kaggle.com/shivamb/1-bulletin-structuring-engine-cola
Installation
pip install pycola
Usage
Extractor class is used to generate the structured csv file. It accepts one user input config:
"input_path" : path of the bulletin text files
"output_filename" : name of the output file
from pycola.bulletin_parser import Extractor
## define the input path
config = {
"input_path" : "Bulletins/",
"output_filename" : "structured_file.csv"
}
## create the Extractor Class object
extr = Extractor(config)
## call the extraction function
extr.extraction()
Documentation
http://www.shivambansal.com/blog/network/cola/BulletinStructuringEngine.html
By Shivam Bansal
Metadata
Release files for pycola 0.1.60
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pycola-0.1.60.tar.gz | 16.1 kB | Details |
Release files / pycola-0.1.60.tar.gz
| Download URL | pycola-0.1.60.tar.gz |
|---|---|
| Size | 16.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d1e5727429a4f65136105b601083e1b95dec9a3c1ad7fb6989de90438ce38c39
|
|
BLAKE2b-256 checksum How to use checksums |
2e39e5f09168f67345068c4d7c2224d9b90de8bdbf12bfc98d6317d0e634e499
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.22.0 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.7.0
|