Skip to main content

BigKinds Data Analysis Toolkit for python

Project description

pyBigKinds

pyBigKinds는 한국 언론의 빅데이터 저장소인 BigKinds에서 추출한 데이터를 low-Code로 분석할 수 있게 만든 툴입니다.

Requirements

  • Python >= 3.8

Installation

  • macOS

    python3 -m pip install pyBigKinds
    
  • Windows, linux

    python -m pip install pyBigKinds
    

Usage

License

MIT

you have some issue?

사용 중 문제 발생 시, 해당 Repo issue에 등록해주세요.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

pyBigKinds-1.2.0-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file pyBigKinds-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: pyBigKinds-1.2.0-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.17

File hashes

Hashes for pyBigKinds-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 039c5b20a69137afdda90557162ea82d7819b92167477061a32f197fa2a8e6af
MD5 e211036dfff51bb7f7eb2e2721abc84e
BLAKE2b-256 b840af85ae66b78ac0d104646767e977e6c40fef9b0fb3c6207c79d08a42cf82

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page