Skip to main content

The version of this library and document is V 0.1.8_20

Project description

datup

How is it work?

import datup as dt

To Instance the Class

ins = dt.Datup("aws_acces_key_id","aws_secret_access_key","datalake")

Is necessary invoke all time the instance object?

Yes, is necessary invoke all time the instance object since, the functions must write in /tmp/ log file as default. In documentation will find how to use the class and change default values.

Example of a method with the callable instance

dt.check_data_format(ins,dataframe)

Can I test my updates?

Yes, there is a file called _testing.ipynb where you can test your changes. The variables, must be initialized always for modularity.

Where can I find some documentation?

You can find the documentation in the next address: http://18.234.95.22/ Documentation as the library is on beta mode, for that reason write to cristhianpo@datup.ai for whatever bug

Project details


Download files

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

Files for datup, version 0.1.8-20
Filename, size File type Python version Upload date Hashes
Filename, size datup-0.1.8.post20-py3-none-any.whl (33.8 kB) File type Wheel Python version py3 Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page