semvec/pypi-packages huggingface dataset:
gcloud-connectors 0.2.4b1
Python utilities to simplify connection with Google APIs
License: MIT
Requires Python: ~=3.6

![gcloud-connectors](https://github.com/pualien/py-gcloud-connectors/blob/master/images/logo.png?raw=true)

# 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/)
[![Cumulative Downloads](https://static.pepy.tech/badge/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
```

## Usage

Be sure to check out the [documentation](https://pualien.github.io/py-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

- `GAnalytics4Connector`: return pandas DataFrame from Google Analytics 4 reports



### Bonus

- `ForeignExchangeRatesConverter`: get currency conversion rates

- `LTVCalculator`: compute Customer Lifetime Value

- `pd_utils`: derive quarter, month column from date in pandas DataFrame
Tan-Soon-Seng 0.0.1
C++ code packaged for use in Python for KIG2013 Assignment
License: MIT
Requires Python: >=3.7

# Example README

This is a python package built using C++ code as the source to enable using C++ code in Python. 


## Installation

Install with pip. Run the following in cmd line:
```
  py -m pip install Tan_Soon_Seng
```
Alternatively on MacOS/Linux:
```
  python3 -m pip install Tan_Soon_Seng
```

## Acknowledgements

 - [Pybind11 Library](https://github.com/pybind/pybind11)
 - [Python Example by pybind11](https://github.com/pybind/python_example)