Metadata-Version: 1.2
Name: gcloud-connectors
Version: 0.1.41
Summary: Python utilities to simplify connection with Google APIs
Home-page: https://github.com/pualien/py-gcloud-connector
Author: Matteo Senardi
Author-email: pualien@gmail.com
License: MIT
Description: ![](https://i.imgur.com/vCJ3s3E.png)
        
        # PY GCLOUD CONNECTORS
        [![PyPI Latest Release](https://img.shields.io/pypi/v/gcloud-connectors.svg)](https://pypi.org/project/gcloud-connectors/)
        [![PyPI Build](https://github.com/pualien/py-gcloud-connectors/workflows/PyPI%20Build/badge.svg)](https://github.com/pualien/py-gcloud-connectors/actions)
        [![PyPI - Downloads](https://img.shields.io/pypi/dm/gcloud-connectors)](https://pypi.org/project/gcloud-connectors/)
        [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/gcloud-connectors.svg)](https://pypi.org/project/gcloud-connectors/)
        
        Python utilities to simplify connection with Google APIs
        
        ## Where to get it
        The source code is currently hosted on GitHub at:
        https://github.com/pualien/py-gcloud-connectors
        
        Binary installers for the latest released version are available at the [Python
        package index](https://pypi.org/project/gcloud-connectors/).
        
        ```sh
        pip install gcloud-connectors
        ```
        
        ## Google Wrappers
        - `BigQueryConnector`: read and cast pandas DataFrame from BigQuery
        
        - `GAnalyticsConnector`: unsample data and return pandas DataFrame from Google Analytics
        
        - `GDriveConnector`: download, upload, search and rename files from Google Drive
        
        - `GSCConnector`: get data from Google Search Console
        
        - `GSheetsConnector`: read and upload pandas DataFrame from / to Google Spreadsheet
        
        - `GStorageConnector`: write pandas DataFrame in parquet format to Google Cloud Storage, recursive delete, copy files and folders between buckets
        
        
        ### Bonus
        
        - `ForeignExchangeRatesConverter`: get currency conversion rates
        
        - `LTVCalculator`: compute Customer Lifetime Value
        
        - `pd_utils`: derive quarter, month column from date in pandas DataFrame
Platform: UNKNOWN
Requires-Python: ~=3.6
