ares-kz
This Python package contains Kazakhstan-specific corporate credit risk factors used for bank-level default prediction models.
Features
- Access to structured dataset of qualitative and quantitative risk factors.
- Optimized for educational and demonstration use.
Usage
from ARES_KZ import load_kz_data
df = load_kz_data()
print(df.head())
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for ares-kz 3.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ares_kz-3.0.0.tar.gz | 22.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ares_kz-3.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 44.1 kB
Release files / ares_kz-3.0.0.tar.gz
| Download URL | ares_kz-3.0.0.tar.gz |
|---|---|
| Size | 22.1 kB |
| 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/6.1.0 CPython/3.14.0a2
|
Release files / ares_kz-3.0.0-py3-none-any.whl
| Download URL | ares_kz-3.0.0-py3-none-any.whl |
|---|---|
| Size | 22.0 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.14.0a2
|
