Metadata-Version: 1.2
Name: phonenumberchecker
Version: 0.0.5
Summary: Check any Australian numbers
Home-page: https://github.com/i9k/phonenumberchecker
Author: Igor Korostil
Author-email: eeghor@gmail.com
License: MIT
Description: gender
        =======================================
        
        Get gender from name and email address
        
        What does it do?
        ----------------
        
        Suppose you have someone's name and need to find out whether this person is a female (male). The name might come with an email address as it's often the case when you deal with customer records. This package finds the gender for you.
        
        Key Advantages
        --------------
        
        - Very simple to use
        - Accepts a single string or a list of strings as input
        - Relies on a dataset of 130,000+ unique names
        - Covers hypocorisms (English only at this time)
        - Makes use of a person’s email address (if available) via searching for names and grammatical gender words in the prefix
        - Doesn’t care if the input has bad formatting
        
        
        Installation
        ------------
        
        .. code-block:: console
        
        	$ pip3 install gender
        
        Quickstart
        ----------
        
        Import and initialise the GenderDetector class:
        
        .. code-block:: console
        	from gender import GenderDetector
        	gd = GenderDetector()
        
        Then use its *gender* method:
        
        .. code-block:: pycon
        
        	gd.gender('jaeden collins')
        
        Note that you can give it a string with some rubbish in it, like
        
        .. code-block:: pycon
        
        	gd.gender('dr.. arian ChiA ,%%%achia58@hotmail.com')
        
        Having an email address could make difference. Suppose that you want to figure out gender of someone whose description is 
        
        .. code-block:: pycon
        	customer_info = 'b w roberts -- roboking@yahoo.co.uk'
        
        Both the initials and surname don’t tell you whether this is a male or a female. However, the email prefix robo*king* does look like it’s probably a male because the word *king* always points to a male.
        
        Also note that you can feed a **list**  into the **gender** method in which case you will get a list of identified genders as an output:
        
        .. code-block:: pycon
        	gd.gender(['steve risotto', 'ana kowalski'])
        	>>>['m', 'f']
        
Keywords: phone number
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Filters
Requires-Python: >=3.6
