semvec/pypi-packages huggingface dataset:
django-tagify 0.20
django tag input field
License: MIT

django-tagify
----------------

A django tag input field using Tagify_ built for Django 2.0.
The tags are stored as a comma-delimited (unless if changed) ``String``.

.. _Tagify: https://github.com/yairEO/tagify/

Usage
===============

1. Models: Use ``TagsField`` to represent a tags field.
2. Forms: Make sure you display ``form.media`` in the html template, for the widget to render correctly.
3. Widget settings: Pass the settings dictionary as follows ``TagsField(widget_settings={...}``.

 * You can specify if 'duplicates' are allowed (boolean).
 * You can specify 'autocomplete' (boolean) - this matches from the whitelist.
 * You can specify 'enforceWhitelist' (boolean).
 * You can specify 'maxTags' (int).
 * You can specify the 'whitelist' (list containing strings).
 * You can specify the 'blacklist' (list containing strings).
 * You can specify the 'delimiter' (string).
 * You can specify the RegEx 'pattern' to validate the input (string).

If you want to allow blank inputs for tags make sure you set ``blank=True`` on ``TagsField``.
If blank inputs are allowed, they will not be filtered by the whitelist.

Note: If you use ``TagsField`` in a Form, then `Form.is_valid()` will automatically verify that its values
conform to those specify in its settings, to prevent malicious behaviour from end users.

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

1. Install the module

  .. code-block::

      pip install django-tagify

2. Add ``django_tagify`` to your ``INSTALLED_APPS`` setting in the Django ``settings.py``.

    Example:

    .. code-block:: python

        INSTALLED_APPS = (
            # ...other installed apps
            'django_tagify',
        )
lollygag 2.0.0rc2
A scalable web crawling base
License: MIT
Requires Python: >=3

# Lollygag

Web scraping framework written in Python and Rust!

[![CircleCI](https://circleci.com/gh/snorrwe/lollygag.svg?style=svg)](https://circleci.com/gh/snorrwe/lollygag)

# Installing

## Requirements

- [Rust](https://www.rust-lang.org/en-US/install.html)
- [CPython 3+](https://www.python.org/downloads/)

## Installing via pip

```
pip install lollygag
```

## Building from source

```
git clone https://github.com/snorrwe/lollygag.git
cd lollygag
pip install .
```

# Using lollygag

__TBA__

## Examples

__TBA__
PyDRL 0.0.1
A Python Deep Reinforcement Learning library
License: MIT

# PyDRL
A Python Deep Reinforcement Learning library. We make the whl so that you don't have to reinvent it


## To Do
1. Agents - 
  * Random Agent
  * CEM Agent
  * DQN
  * DQN with Target Value Network
  * Double DQN
  * Dueling DQN
  * Policy Gradient
  * Actor Critic
  * Advantage Actor Critic - A2C
  * Asynchronous Advantage Actor Critic - A3C
2. Utilities -
  * Experience Replay
  * Prioritised Experience Replay
  * Ring Buffer
django-watermarks 1.3
Django watermarks app
License: MIT

## Django-Watermarks

**Installation**
```
pip install django-watermarks
```

Add watermarks to INSTALLED_APPS of settings.py:

```
INSTALLED_APPS = [
    ...,
    'imagekit',
    'watermarks'
]
```

**Image processing**

```
from watermarks.models import WatermarkImage

watermark = WatermarkImage.get('example')
watermark.process('example.jpg')
```