semvec/pypi-packages huggingface dataset:
osensanugrid 0.0.7
OSENSA-Nugrid Python library
License: MIT

===============
OsensaNugrid
===============

Python module for interfacing with the OSENSA's Nugrid module.


*History*
---------
*Release 0.0.7:*

- Updated TEC setting function again with newer hardware changes

*Release 0.0.6:*

- More minor bug fixes, re-upload

*Release 0.0.5:*

- Updated TEC setpoint function based on experimentation, minor bug fixes

*Release 0.0.4:*

- Modified read_photodiode() to return the status bits instead of throw error

*Release 0.0.3:*

- Remove debug messages

*Release 0.0.2:*

- Changed globals
- Moved DAC setup to init

*Release 0.0.1:*

- Initial release
tokenROI 0.6.7
Quick ROI calculator for your token balances base on idex.market prices
License: MIT
Keywords: tokens cryptocurrencies idex roi

tokenROI
========
:Info: Console ethereum erc20 token portfolio.<br>
:Author: Lukasz Czerwinski <mrowacz@gmail.com>

About
=====

tokenROI is an tool which eaisly presents your erc20 token collection
using data from idex stock.
It converts your token balances into ethereum and also shows current roi
of your investments. There is possibility to store your's configuration on
google drive.

Installation
============
download the project source and do::
```
  $ python setup.py install
```
Examples
========
Here's a basic usage examples
```
$ token_roi
```
console output for example should gives<br>
![tokenroi_basic_example](https://user-images.githubusercontent.com/11421787/38460421-a2b09c78-3ab9-11e8-88f3-d132d834b48d.png)
azureml-model-management-sdk 1.0.1b6.post1
Microsoft Azure Machine Learning Python SDK for authoring web services
License: MIT
Keywords: azure,machinelearning,model,operationalization,analytics,mlserver

Microsoft Azure Machine Learning API SDK for Python
===================================================

This package has been tested with Python 2.7 and 3.5.

This is a preview release
=========================

The SDK is being released as a preview, for gathering feedback.

**Future releases are subject to breaking changes.**


.. :changelog:

Release History
===============
Flask-CacheBuster 1.0.0
Flask-CacheBuster is a lightweight Flask extension that adds a hash to the URL query parameters of each static file.
License: MIT

flask-cachebuster
========================================

Flask-CacheBuster is a lightweight http://flask.pocoo.org/ extension that adds a hash to the URL query parameters of each static file. This lets you safely declare your static resources as indefinitely cacheable because they automatically get new URLs when their contents change.

Notes:
=========
Inspired by https://github.com/ChrisTM/Flask-CacheBust, and an updated version of https://github.com/daxlab/Flask-Cache-Buster to work with python 3.+

Installation
============

Using pip::

  pip install flask-cachebuster

Usage
----------
Configuration::


  from flask_cachebuster import CacheBuster

  config = { 'extensions': ['.js', '.css', '.csv'], 'hash_size': 5 }

  cache_buster = CacheBuster(config=config)

  cache_buster.init_app(app)

Configuration
-------------------

Configuration::

* extensions - file extensions to bust
* hash_size - looks something like this `/static/index.css%3Fq3` where [%3Fq3] is the hash size.

The http://flask.pocoo.org/docs/0.12/api/#flask.url_for function will now cache-bust your static files. For example, this template::

<script src="{{ url_for('static', filename='js/main.js') }}"></script>

will render like this::

<script src="/static/js/main.js?%3Fq%3Dc5b5b2fa19"></script>