semvec/pypi-packages huggingface dataset:
TeraBoxUtility 0.0.2
A python package for save file in TeraBox

# **TeraBoxUtility**

## Overview 

>TeraBoxUtility is a tool to quickly upload data to TeraBox. Store large amounts of information securely. 

## Requirement
> TeraBoxUtility use python 9 and chrome driver.
Need to have google chrome to use.



## Usage

In file main.py, Need to specify the path to the directory.

```python
from util.tera import TeraBox

# Set path to folder
# Example D:\test1
tera = TeraBox("D:\\test1")
tera.upload()
```
Create file .env with format like this

```cvs
# Email to login google account.
EMAIL=email:password:backup_email
# Key use to encrypt and decrypt. It is any string. sdfsjd is example.
KEY='sdfsjd'
# App_id in TeraBox
APP_ID='250528'
# Type of file is .zip
FILE_TYPE=.zip
```

## Credit


## License
Copyright Â© 2022 moligroup
cloudsimplified 0.0.10
Cloud Simplify is a package for handling aws services with simple functions
Keywords: python,AWS,aws,simplify,simplifyaws


# simplify

Under construction! Not ready for use yet! Currently experimenting and planning!

Developed by R Sanjeev Rao fro AWS services (c) 2022

## Examples of How To Use (Buggy Alpha Version)

Testing on Python file

```python
from simplifyaws.classes import SimplifyAWS
from simplifyaws.constants import Services
sqs_url='https://sqs.ap-southeast-1.amazonaws.com/....../sqs.fifo'

saws=SimplifyAWS(services=[Services.SQS],region="**************",aws_access_key="*********",aws_secret_key="************",secrets_name='stage/repo')


def print_data(data):
    print(data)
    return True


saws.create_sqs_loop(sqs_url=sqs_url,callback=print_data,name='Print_Loop')
saws.run_sqs_loops()
time.sleep(10)
```

Flask Example
run.py
```python
from app import app

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=5000, debug=True)
```

    __init__.py
```python

from flask import Flask
from simplifyaws.classes import SimplifyAWS
from simplifyaws.constants import Services

app = Flask("test-ms")
saws=SimplifyAWS(services=[Services.SQS],region="**************",aws_access_key="*********",aws_secret_key="************",  secrets_name='stage/repo')

print(saws.get_secrets())
# from .test import start_testing
# start_testing(saws)
```

    test.py
```python


import time
from simplifyaws.classes import SimplifyAWS
from simplifyaws.constants import Services


def start_testing():

    sqs_url='https://sqs.ap-southeast-1.amazonaws.com/....../sqs.fifo'
    

    def print_data(data):
        print(data)
        return True

    saws.create_sqs_loop(sqs_url=sqs_url,callback=print_data,name='Print_Loop')
    saws.run_sqs_loops()

```
PlateTectonicTools 0.4.1
Python tools for plate tectonic research
Requires Python: >=2.7

# PlateTectonicTools

Python tools for plate tectonic research.

This repository contains the Python package `ptt` (short for Plate Tectonic Tools) which provides a collection of common plate tectonic functionality that researchers can use in their workflows. It is primarily built on top of the [pyGPlates](http://gplates.org/docs/pygplates/index.html) Python library.

There are also some Jupyter notebooks to demonstrate usage of the **ptt** package:

* Calculating average seafloor spreading rates of mid-ocean ridges
* Calculating subducting rate of paleo rasters along subduction zones
* Predicting CO2 from age and bottom water temperature.

*Note:* This repository is only in its initial stages. More functionality and examples will be provided in future.


## Documentation

There are some demonstrations of `ptt` that may be installed from the package itself by running:

```python
import ptt
ptt.install_documentation(path="PTT-Notebooks")
```

## Installation

### Dependencies

The following Python packages are required:

- [`numpy`](http://numpy.org)
- [`scipy`](https://scipy.org)
- [`pygplates`](http://gplates.org/docs/pygplates/pygplates_getting_started.html#installation)

__Optional dependencies__ for running the Notebooks:

- [`matplotlib`](https://matplotlib.org/)

### Installing using pip

You can install `ptt` using the
[`pip package manager`](https://pypi.org/project/pip/) with either version of Python:

```bash
python2 -m pip install PlateTectonicTools
python3 -m pip install PlateTectonicTools
```

To install the latest version from GitHub, use:

```bash
pip3 install --no-cache-dir --upgrade git+https://github.com/EarthByte/PlateTectonicTools
pip install --no-cache-dir --upgrade git+https://github.com/EarthByte/PlateTectonicTools
```

### Installing using Docker

> Coming soon...


### API Documentation

> Coming soon...