The version of this library and document is V 0.1.8_19
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file datup-0.1.8.post19-py3-none-any.whl
.
File metadata
- Download URL: datup-0.1.8.post19-py3-none-any.whl
- Upload date:
- Size: 33.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.1.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8d62ff2ce0350e6ea8d33158e792f45d3eda79b365ef63f798903a9994fdce75 |
|
MD5 | b58cbd151d65aec598d90f4a74fe0fa5 |
|
BLAKE2b-256 | f3735bf9acebdeec1ee40e52833760272d613f3c68d34a875a66d97b1f8e565b |