semvec/pypi-packages huggingface dataset:
django-sendgrid-v4 0.6.5a0
An implementation of Django's EmailBackend compatible with sendgrid-python v4+
License: MIT
Keywords: django email sendgrid backend

.. |travis| image:: https://travis-ci.org/sklarsa/django-sendgrid-v4.svg
             :alt: Travis Build Status
             :target: https://travis-ci.org/sklarsa/django-sendgrid-v4
.. |pypi| image:: https://img.shields.io/pypi/v/django-sendgrid-v4.svg
           :alt: Latest Release
           :target: https://pypi.python.org/pypi/django-sendgrid-v4/


django-sendgrid-v4
==================
|pypi| |travis|

How to Install
--------------

1. `pip install django-sendgrid-v4`
2. In your project's `settings.py` script:

    a. Set `EMAIL_BACKEND = "sendgrid_backend.SendgridBackend"`
    b. Add `SENDGRID_API_KEY = os.environ["SENDGRID_API_KEY"]`
corenlp-xml-reader 0.1.3
Work with CoreNLP annotations in Python
License: MIT
Keywords: NLP natrual language processing computational linguistics CoreNLP Stanford parser

# corenlp-xml-reader
A utility for easily working with CoreNLP-annotated text in Python.

## About this package
Other than reading the xml file into a python representation, this utility
does some necessary "fixing up" of the data in CoreNLP.
[to be described]

## Quickstart

### Install
Install from the Python Package Index:
```bash
pip install corenlp-xml-reader
```

Alternatively, install a version you can hack on:
```bash
git clone https://github.com/enewe101/corenlp-xml-reader.git
cd corenlp-xml-reader
python setup.py develop
```

### Use

[Add basic usage examples.]
formatted-ranges 0.2
Generate various kinds of ranges, either in whatever Python             data type is appropriate or as a list of strings that retain all               the various quirks of your start, stop and step arguments.
License: MIT
Keywords: data range utilities

`ranges` generates various kinds of ranges, either in whatever Python data type is appropriate or as a list of strings that retain all the various quirks of your start, stop and step arguments.

    # the range function is a strict superset of the Python builtin
    >>> from ranges import range
    >>> range('2013-02.01', '2013-02.03')
    ['2013-02.01', '2013-02.02', '2013-02.03']
    >>> range('10H13M', '10H17M', step=2, closed=True)
    ['10H13M', '10H15M', '10H17M']
    >>> range('0000', '0500', 100)
    ['0000', '0100', '0200', '0300', '0400']

`ranges` will e.g. return dates in exactly the format you gave it, integers with the same amount of zero-padding and so on. It accepts strings as arguments and figures out what kind of range you need by itself.

This makes it uniquely suitable for fetching a range of related files in a format you have no control over.

But of course `ranges` is equally good for just regular ranges:

    >>> from datetime import date
    >>> from ranges import range
    >>> range(date(2013,1,1), date(2013,1,3))
    ...
    >>> range(0, 10, 3)
    [0, 3, 6, 9]
    >>> range(9.2, 10.0, 0.25)
    [9.2, 9.45, 9.7, 9.95]

* date ranges
* time ranges
* datetime ranges
* number ranges (like Python's `range`)
* letter ranges

In addition to ranges, it is also possible to generate spaces: ranges with a
predetermined amount of equally spaced steps, rather than an explicit step size.

When and how to use
===================

`ranges`, when given string inputs, essentially tries to guess what those inputs signify and create ranges from those guesses. While pretty reliable, it is advisable to only use guesses when the user or developer experience absolutely requires this. For generating ranges that are not seen by anything other than the computer, you're better off supplying `range` with the appropriate data types.

    >>> from datetime import date
    >>> from hrange import range
    # better when responding to user input etc.
    range('2013-01-05', '2013-01-10')
    # better for programmatic use
    >>> range(date(2013,1,1), date(2013,1,3))
translatify 1.0.1
A fun tool to convert text into different languages using Google Translate
License: MIT
Keywords: translatify,google-translate,translate

translatify
===========

``translatify`` is a fun command line tool for translating text through
different languages using Google Translate, usually for some amusing results.

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

``translatify`` can be installed from PyPI using
`pip <https://pip.pypa.io/en/latest/>`__:

.. code:: bash

    $ pip install translatify

Usage
=====

Autodetect the language of the original text and run it through all languages
on Google Translate:

.. code:: bash

    $ translatify "Google Translate is not always accurate"
    [English -> Afrikaans]
    Google Translate is nie altyd akkuraat nie
    [Afrikaans -> Albanian]
    Google Translate nuk është gjithmonë i saktë

    [....]

    [Yiddish -> Yoruba]
    Fun apẹẹrẹ, nigbati isedale.
    [Yoruba -> Zulu]
    Ngokwesibonelo, lapho biology.

Alternatively, you can specify the source and target languages yourself:

.. code:: bash

    $ translatify -s en -t da,zh-cn,de,en "Google Translate is not always accurate"
    [English -> Danish]
    Google Translate er ikke altid korrekt
    [Danish -> Chinese (Simplified)]
    谷歌翻译并不总是正确的
    [Chinese (Simplified) -> German]
    Google-Übersetzung ist nicht immer richtig
    [German -> English]
    Google translation is not always correct

You can specify ``all`` as a target language to include all the languages in
alphabetical order:

.. code:: bash

    $ translatify -t de,all,de,en "Google Translate is not always accurate"
    [English -> German]
    Google Translate ist nicht immer richtig
    [German -> Afrikaans]
    Google Translate is nie altyd reg nie

    [....]

    [Zulu -> German]
    Google
    [German -> English]
    Google

Languages can be listed using the ``--list`` flag:

.. code:: bash

    $ translatify --list
    Code   Name
    af     Afrikaans
    sq     Albanian
    am     Amharic
    ar     Arabic
    hy     Armenian
    az     Azerbaijani
    eu     Basque
    be     Belarusian
    bn     Bengali
    bs     Bosnian
    bg     Bulgarian
    ca     Catalan

    [....]