semvec/pypi-packages huggingface dataset:
MyResources 5.3.0
Simple utilities to assist with deep learning text classification.
License: MIT
Requires Python: >=3.6.0


�� setup.py (for humans)
=======================

This repo exists to provide [an example setup.py] file, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices for `setup.py`, as well as some
commented–out nice–to–haves.

For example, this `setup.py` provides a `$ python setup.py upload`
command, which creates a *universal wheel* (and *sdist*) and uploads
your package to [PyPi] using [Twine], without the need for an annoying
`setup.cfg` file. It also creates/uploads a new git tag, automatically.

In short, `setup.py` files can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)

**If you're interested in financially supporting Kenneth Reitz open source, consider [visiting this link](https://cash.me/$KennethReitz). Your support helps tremendously with sustainability of motivation, as Open Source is no longer part of my day job.**

[Check out the example!][an example setup.py]

![image]

To Do
-----

-   Tests via `$ setup.py test` (if it's concise).

Pull requests are encouraged!

More Resources
--------------

-   [What is setup.py?] on Stack Overflow
-   [The Hitchhiker's Guide to Packaging]
-   [Cookiecutter template for a Python package]

License
-------

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.

✨��✨

  [an example setup.py]: https://github.com/kennethreitz/setup.py/blob/master/setup.py
  [PyPi]: https://docs.python.org/3/distutils/packageindex.html
  [Twine]: https://pypi.python.org/pypi/twine
  [image]: https://farm1.staticflickr.com/628/33173824932_58add34581_k_d.jpg
  [What is setup.py?]: https://stackoverflow.com/questions/1471994/what-is-setup-py
  [The Hitchhiker's Guide to Packaging]: https://the-hitchhikers-guide-to-packaging.readthedocs.io/en/latest/creation.html
  [Cookiecutter template for a Python package]: https://github.com/audreyr/cookiecutter-pypackage
webbrowserdownloader 0.1
webbrowserdownloader is a wrapper for selenium browser
License: MIT
Keywords: webbrowserdownloader selenium browser downloder web extraction parsing scraping mining

# Instalatiom
```sh
pip install webbrowserdownloader
```
# Downloader
### Basic functional
```python
from webbrowserdownloader import Browser
browser = Browser()
page_content = browser.get_page('https://www.google.com/')
len(page_content)
```
### Proxies usage
```python
from webbrowserdownloader import Browser
browser = Browser(proxy_string='157.152.145.103:3128')
page_content = browser.get_page('https://www.google.com/')
````
# License
MIT
sunrice 1.0.4
Garden Lighting Controller
License: MIT
Keywords: lighting mqtt iot

# Sunrice - Garden Light Controller

Sunrice is a quick and dirty Python app for controlling my garden lights. It schedules on/off sequence at sunset/dawn, whereas exact times are calculated on daily basis. MQTT messages are sent to the PLC controller as a on/off sequence. Sunrice also reacts to `sunrise/on` and `sunrise/off` MQTT messagess (with no payload) to start the sequence manually.

## Contributing

Please read [**CONTRIBUTING.md**](https://github.com/hubpav/sunrice/blob/master/CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.

## Versioning

We use [**SemVer**](https://semver.org/) for versioning. For the versions available, see the [**tags on this repository**](https://github.com/hubpav/sunrice/tags).

## Authors

* [**Pavel Hübner**](https://github.com/hubpav) - Initial work

## License

This project is licensed under the [**MIT License**](https://opensource.org/licenses/MIT/) - see the [**LICENSE**](https://github.com/hubpav/sunrice/blob/master/LICENSE) file for details.
pyofd 0.1.6
OFD providers interface
License: MIT

=========================================================
pyofd - Python library for interacting with OFD providers
=========================================================

.. image:: https://travis-ci.org/sergelevin/pyofd.svg?branch=master
    :target: https://travis-ci.org/sergelevin/pyofd

``pyofd`` is a Python package for receipts query from OFD providers.
It is inspired by `bobby_boy`_ project.

.. contents::

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

Install via `pip`_:

::

    $ pip install pyofd

Install from source:

::

    $ git clone git://github.com/sergelevin/pyofd.git
    $ cd pyofd
    $ python setup.py install

Usage
=====

Here is basic usage example.

::

    import pyofd, datetime

    receipt = pyofd.OFDReceipt(
        fpd='FPD', total='total', rn_kkt='RN_KKT', fn='FN',
        fd='FD', inn='INN', purchase_date=datetime.datetime.now()
    )
    result = receipt.load_receipt()

``OFDReceipt`` class might be constructed only with arguments known from receipt data, but omitting arguments
might narrow the list of OFD providers to be checked against, because different providers require different
subset of data to validate receipt

Examples
========

For some basic examples read unit tests in `test`_ directory. More complicated examples can be found within
`examples`_ directory.

* `load_receipt.py <https://github.com/sergelevin/pyofd/blob/master/examples/load_receipt.py>`_: Load receipt by
  known attributes and save items into tab-delimited file.
* `xlsx_receipt.py <https://github.com/sergelevin/pyofd/blob/master/examples/xlsx_receipt.py>`_: Load receipt by
  known attributes and export it to MS Excel (r) .xlsx file. If `nalog.ru <http://nalog.ru>`_ official receipt
  check application credentials are provided in ``PYOFD_NALOGRU_LOGIN`` and ``PYOFD_NALOGRU_PASSWORD`` environment
  variables, receipt lookup via ``NalogRu`` provider is also performed. Excel file is filled with formulas and
  conditional formatting suitable for my personal receipt handling needs - column *F* is for partial refund and
  columns *G* to *Z* - for receipt entries categorization with autocounting subtotal across categories.

.. _pip: https://pip.pypa.io/
.. _bobby_boy: https://github.com/ohbobbyboy/bobby_boy/
.. _test: https://github.com/sergelevin/pyofd/tree/master/test/
.. _examples: https://github.com/sergelevin/pyofd/tree/master/examples/