🎓 Hossam Data Helper
Hossam은 데이터 분석, 시각화, 통계 처리를 위한 종합 헬퍼 라이브러리입니다.
아이티윌(ITWILL)에서 진행 중인 머신러닝 및 데이터 분석 수업을 위해 개발되었으며, 이광호 강사의 강의에서 활용됩니다.
📦 설치
pip install --upgrade hossam
요구사항: Python 3.12 이상
🚀 사용법
📬 문의
- 👩🏫 이광호 (아이티윌)
- 📧 Email: leekh4232@gmail.com
- 📝 Website: https://hossam.kr/
📄 라이선스
이 프로젝트는 MIT 라이선스를 따릅니다. 자유롭게 사용, 수정, 배포할 수 있습니다.
1 maintainer
Metadata
1 maintainer
Release files for hossam 0.5.37
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| hossam-0.5.37.tar.gz | 24.1 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hossam-0.5.37-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 48.2 MB
Release files / hossam-0.5.37.tar.gz
| Download URL | hossam-0.5.37.tar.gz |
|---|---|
| Size | 24.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Release files / hossam-0.5.37-py3-none-any.whl
| Download URL | hossam-0.5.37-py3-none-any.whl |
|---|---|
| Size | 24.1 MB |
| 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Security for hossam 0.5.37
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
