Skip to main content

The version of this library and document is V 0.1.8_3

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.

Source Distribution

datup-0.1.8-3.tar.gz (18.0 kB view hashes)

Uploaded Source

Built Distribution

datup-0.1.8.post3-py3-none-any.whl (32.0 kB view hashes)

Uploaded Python 3

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