An enhanced permission system which support object permission in Django

**AuthorAlisue Supported python versionsPython 2.7, 3.3, 3.4, 3.5, 3.6Supported django versions**Django 1.8 – 1.11b An enhanced permission library which enables a logic-based permission system to handle complex permissions in Django. Documentation http://django-permission.readthedocs.org/en/latest/ Installation Use pip like: $ pip install django-permission Usage The following might help you to understand as well. Configuration Add permission to the INSTALLED_APPS in your settings module INSTALLED_APPS = ( # … ‘permission’, ) Add our extra authorization/authentication backend AUTHENTICATION_BACKENDS = ( ‘django.contrib.auth.backends.ModelBackend’, # default ‘permission.backends.PermissionBackend’, ) […]

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A small python that you set a time and on that time, app will send you notification and also play an alarm

Always be OnTime! What is OnTime? OnTime is a small python that you set a time and on that time, app will send you notification and also play an alarm. How to get OnTime? You can download OnTime via Github. $ git clone https://github.com/BlackIQ/OnTime How to install OnTime? OnTime just install on Linux. So, if you have Windows, forget it! Installing is so simple. Just run setup and it will be installed. How to run OnTime? Just enter ontime command! […]

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HTML minifier for Python frameworks (not only Django, despite the name)

django-html is an HTML minifier for Python, with full support for HTML 5. It supports Django, Flask and many other Python web frameworks. It also provides a command line tool, that can be used for static websites or deployment scripts. Why minify HTML code? One of the important points on client side optimization is to minify HTML. With minified HTML code, you reduce the size of the data transferred from the server to the client, which results in faster load […]

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Python package for performing Entity and Text Matching using Deep Learning

DeepMatcher is a Python package for performing entity and text matching using deep learning. It provides built-in neural networks and utilities that enable you to train and apply state-of-the-art deep learning models for entity matching in less than 10 lines of code. The models are also easily customizable – the modular design allows any subcomponent to be altered or swapped out for a custom implementation. As an example, given labeled tuple pairs such as the following: DeepMatcher uses labeled tuple […]

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