semvec/pypi-packages huggingface dataset:
GdDownloader 0.0.3
easy wrapper for downloading google drive files using only shareable link
License: MIT
Keywords: downloader googledrive gdrive drive

# GdDownloader 

Package to download files from google drive given shared link

[![Build Status](https://travis-ci.org/deven96/drive_downloader.svg?branch=master)](https://travis-ci.com/deven96/drive_downloader) [![PyPI version](https://badge.fury.io/py/GdDownloader.svg)](https://badge.fury.io/py/GdDownloader) [![Coverage Status](https://coveralls.io/repos/github/deven96/drive_downloader/badge.svg?branch=master)](https://coveralls.io/github/deven96/drive_downloader?branch=master)

- [GdDownloader](#gddownloader)
  - [Installation](#installation)
  - [Development](#development)
  - [Documentation](#documentation)
  - [Running the tests](#running-the-tests)
  - [Usage](#usage)
  - [Contribution](#contribution)
  - [License (MIT)](#license-mit)

## Installation

```bash
    pip install gddownloader
```

## Development

```bash
    git clone git@github.com:deven96/drive_downloader.git
```

## Documentation

[Github Pages](https://deven96.github.io/drive_downloader)

## Running the tests

```bash
    cd drive_downloader/gddownloader/
```

```bash
    python tests/__init__.py
```

## Usage

Files can be downloaded from google drive providing one has a valid shared link.
One of two ways can be used to download the files : Single or according to an [example csv](gddownloader/example.csv)

```python
    from gddownloader.core import GDownloader, CsvGDownloader

    # Single download
    share_link = r"https://drive.google.com/open?id=1Rp4Pu257IlfuoFX3sEarm8Mgl75vi1U5"
    dwnloader = GDownloader(share_link)
    print(gdwnloader.download_link)
    dwnloader.download()

    # multiple download with csv
    csv_path = "example.csv"
    csvdwnloader = CsvGDownloader(csv_path)
    print(round(csvdwnloader.total_size, 0))
    csvdwnloader.download()
```

## Contribution

You are very welcome to modify and use them in your own projects.

Please keep a link to the [original repository](https://github.com/deven96/drive_downloader). If you have made a fork with substantial modifications that you feel may be useful, then please [open a new issue on GitHub](https://github.com/deven96/drive_downloader/issues) with a link and short description.

## License (MIT)

This project is opened under the [MIT 2.0 License](https://github.com/deven96/drive_downloader/blob/master/LICENSE) which allows very broad use for both academic and commercial purposes.
pricegrabber 0.0.1
Package to scrape prices from various websites
License: MIT
Keywords: library prices scraping

PriceGrabber
============

This is a Python package to retrieve prices for specific products from all sorts of websites, such as Amazon, Aliexpress, or price comparison websites.

New websites can be supported by means of a simple configuration entry. Currently supported sites include:

* Geizhals.{de, at}
* Amazon.{de, com, co.uk, probably all)
* Idealo.de
* Aliexpress.com

Usage
-----

Usage is pretty simple. Mostly you should be able to put in an URL to the site of a product you're interested in, and you should get out a price (or a list of prices). Here is an Example for an AliExpress product:

```python
>>> from pricegrabber import Grabber
>>> cfg = {"url": "https://de.aliexpress.com/store/product/Cherry-cherry-shaft-shaft-mx-mechanical-keyboard-shaft-switch-black-shaft-tea-shaft-white-shaft-green/2230037_32682571027.html?spm=a2g0x.12010612.8148356.2.75987786TNUZUO"}
>>> g = Grabber(cfg)
>>> g.grab()
[(8.9, '$')]
```

So in this case we know that the pack of Cherry MX key switches from AliExpress costs $8,90. Note that a list is returned. Some sites may report multiple prices instead of just one.
gluon2keras 0.0.2
The deep learning models convertor
License: MIT

# gluon2keras
Gluon to Keras deep neural network model converter

[![Build Status](https://travis-ci.com/nerox8664/gluon2keras.svg?branch=master)](https://travis-ci.com/nerox8664/gluon2keras)
[![GitHub License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
[![Python Version](https://img.shields.io/badge/python-2.7%2C3.6-lightgrey.svg)](https://github.com/nerox8664/gluon2keras)

## Installation

```
git clone https://github.com/nerox8664/gluon2keras
cd gluon2keras
pip install -e .
```

or you can use `pip`:

```
pip install gluon2keras
```

## Usage

```
# Get a model from gluon cv
from gluoncv2.model_provider import get_model as glcv2_get_model
net = glcv2_get_model("xception")

# Make sure it's hybrid and initialized
net.hybridize()
net.collect_params().initialize()

# Test input
input_np = np.random.uniform(0, 1, (1, 3, 299, 299))
gluon_output = net(mx.nd.array(input_np))

# Keras model
k_model = gluon2keras(net, [(1, 3, 299, 299)], verbose=True, names='short')
error = check_error(gluon_output, k_model, input_np)
```

## Code snippets
Look at the `tests` directory.

## License
This software is covered by MIT License.
crit 0.0.0
Crit: infrastructure as actual code
License: MIT
Keywords: ansible alternative infrastructure as actual code deployment installing setup

####
Crit
####

Infrastructure as actual code

******
Status
******

Planning

**********
Deployment
**********

Ask `Jessie Liauw A Fong <https://github.com/jessielaf>`_ to for deployment

*******
Authors
*******

* `Jessie Liauw A Fong <https://github.com/jessielaf>`_
usgs 0.2.7
Access the USGS inventory service
License: MIT

========
USGS API
========

`USGS` is a python module for interfacing with the US Geological Survey's API. It provides submodules to interact with various endpoints, and command line utilities, helpful for building out large pipelines.

Documentation is available at:

http://kapadia.github.io/usgs/


ChangeLog
========

 0.2.6   Carl.andrson@nltgis.com
         Remove dependency on pyproj and shapely and use great circle computation to expand a point search to a box