Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Библиотека для Analytic Workspace

Получение токена

Перейдите по ссылке https://aw.example.ru/data-master/get-token (вместо https://aw.example.ru/ укажите адрес вашего сервера Analytic Workspace).

Значение токена лучше всего сохранить в отдельном файл или поместить в переменную окружения AW_DATA_TOKEN.

Пример использования

from aw_client import Session


with open('aw_token', 'rt') as f:
    aw_token = f.read()

session = Session(token=aw_token, aw_url='https://aw.example.ru')

# Если токен доступа указан в переменной окружения AW_DATA_TOKEN, то объект сессии можно создавать 
# без явного указания параметра token: session = Session(aw_url='https://aw.example.ru')

df = session.load(model_id=123)  # df: pandas.DataFrame

display(df)

Metadata

Release files for analytic_workspace_client 1.29.0rc2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for analytic_workspace_client 1.29.0rc2
File Size Uploaded Provenance
analytic_workspace_client-1.29.0rc2.tar.gz 18.0 kB Without provenance Details

Release files / analytic_workspace_client-1.29.0rc2.tar.gz

Download URL analytic_workspace_client-1.29.0rc2.tar.gz
Size 18.0 kB
Tags Source
SHA-256 checksum
How to use checksums
637661c95c365ebecbd26d2b94cc359515a86f9d9a08ec771d35f6c91c283ba5
BLAKE2b-256 checksum
How to use checksums
a13f40605105eba9b5703e95cfa17bd824db6677fc89747f2335aab38fac1b7e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.14

Security for analytic_workspace_client 1.29.0rc2

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.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page