Utility use the Lightcast Global Smart Dataset
Project description
Global Lightcast Smart Dataset Client
The goal of this project is to propose a Python Client, easy to use, ready for everyone to access and use in few seconds the Global Lightcast Smart Dataset
The client covers different needs and question:
- UK Occupation Insights (contents, trends and projection by occupation and area in UK)
- Global Occupation Insights (contents, trends and projection by occupation and area, globallu)
Install
To install or install/upgrade the package it's best to use pip:
pip install -U lightcast-smart-dataset
How it works
You can use the client in two ways:
- Command line
- Python code
This module is using docopt to parse command line arguments.
It proposes different methods:
- Get the occupation insights for an occupation in a area of UK
lightcast-smart-dataset uk occupation-insight soc --username=**** --password=**** --occupation="Programmers and software development professionals" --area="Camden and City of London"
lightcast-smart-dataset uk occupation-insight occupation --username=***** --password=**** --occupation="Programmers and software development professionals" --area="Camden and City of London"
- Get the occupation insights for software developers in Milan, Italy
lightcast-smart-dataset global occupation-insight occupation --username=***** --password=**** --occupation="Business Development / Sales Manager" --area="Milan (ITA)" --occupation-level=3 --area-level=2
- Get a taxonomy
lightcast-smart-dataset taxonomy soc4 --username=**** --password=****
Results
The command line interface will create different Excel file with different sheets:
- the current 12 months of unique job postings vs the last 12 months of unique job postings
- the top 10 common skills, top 10 specialized skills in the area refered to the last 12 months for the requested occupation
- the top 10 job tiles in the area refered to the last 12 months for the requested occupation
- the top 10 employers in the area refered to the last 12 months for the requested occupation (only employers, no staffic company)
License
Copyright (c) 2022 Lightcast
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file lightcast-smart-dataset-0.1.33.tar.gz
.
File metadata
- Download URL: lightcast-smart-dataset-0.1.33.tar.gz
- Upload date:
- Size: 10.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1f8e49600f9cf09059abb579362c6f4dae26174e5c3e068b2aa58a5e6f45b8cb |
|
MD5 | 45ad79b08b497c6e236ee582d1753654 |
|
BLAKE2b-256 | 40a51e16c3fed239826d4a97f51a51a81a80ea1f9a7d16def91892617f43083a |
File details
Details for the file lightcast_smart_dataset-0.1.33-py3-none-any.whl
.
File metadata
- Download URL: lightcast_smart_dataset-0.1.33-py3-none-any.whl
- Upload date:
- Size: 14.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b0bbccfcc58ded2587aec2ddd228e849c4d4ce2249e51a448bfe4678cce90f6b |
|
MD5 | 5a3ac29b3efa6d873c75ee4cc27543ef |
|
BLAKE2b-256 | b7719512f967cd525c2e4f6cb79f4c583b0a641da49ad5204185338a1f960a8e |