Metadata-Version: 2.1
Name: Random-Word
Version: 1.0.7
Summary: This is a simple python package to generate random english words
Home-page: https://github.com/vaibhavsingh97/random-word
Author: Vaibhav Singh <hi@vaibhavsingh97.com>
Author-email: hi@vaibhavsingh97.com
License: MIT
Description: # random-word
        
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        This is a simple python package to generate random english words.
        If you need help after reading the below, please find me at [@vaibhavsingh97](https://twitter.com/vaibhavsingh97) on Twitter.
        
        If you love the package, please :star2: the repo.
        
        ## Installation
        
        You should be able to install using `easy_install` or `pip` in the usual ways:
        
        ```sh
        $ easy_install random-word
        $ pip install random-word
        ```
        
        Or just clone this repository and run:
        
        ```sh
        $ python3 setup.py install
        ```
        
        Or place the `random-word` folder that you downloaded somewhere where it can be accessed by your scripts.
        
        ## Basic Usage
        
        ```python
        from random_word import RandomWords
        r = RandomWords()
        
        # Return a single random word
        r.get_random_word()
        # Return list of Random words
        r.get_random_words()
        # Return Word of the day
        r.word_of_the_day()
        ```
        
        ## Advance Usage
        
        1.  To generate single random word we can use these optional parameters
        
            - `hasDictionaryDef (string)` - Only return words with dictionary definitions (optional)
            - `includePartOfSpeech (string)` - CSV part-of-speech values to include (optional)
            - `excludePartOfSpeech (string)` - CSV part-of-speech values to exclude (optional)
            - `minCorpusCount (integer)` - Minimum corpus frequency for terms (optional)
            - `maxCorpusCount (integer)` - Maximum corpus frequency for terms (optional)
            - `minDictionaryCount (integer)` - Minimum dictionary count (optional)
            - `maxDictionaryCount (integer)` - Maximum dictionary count (optional)
            - `minLength (integer)` - Minimum word length (optional)
            - `maxLength (integer)` - Maximum word length (optional)
        
            ```python
            r.get_random_word(hasDictionaryDef="true", includePartOfSpeech="noun,verb", minCorpusCount=1, maxCorpusCount=10, minDictionaryCount=1, maxDictionaryCount=10, minLength=5, maxLength=10)
        
            # Output: pediophobia
            ```
        
        2.  To generate list of random word we can use these optional parameters
        
            - `hasDictionaryDef (string)` - Only return words with dictionary definitions (optional)
            - `includePartOfSpeech (string)` - CSV part-of-speech values to include (optional)
            - `excludePartOfSpeech (string)` - CSV part-of-speech values to exclude (optional)
            - `minCorpusCount (integer)` - Minimum corpus frequency for terms (optional)
            - `maxCorpusCount (integer)` - Maximum corpus frequency for terms (optional)
            - `minDictionaryCount (integer)` - Minimum dictionary count (optional)
            - `maxDictionaryCount (integer)` - Maximum dictionary count (optional)
            - `minLength (integer)` - Minimum word length (optional)
            - `maxLength (integer)` - Maximum word length (optional)
            - `sortBy (string)` - Attribute to sort by `alpha` or `count` (optional)
            - `sortOrder (string)` - Sort direction by `asc` or `desc` (optional)
            - `limit (integer)` - Maximum number of results to return (optional)
        
            ```python
            r.get_random_words(hasDictionaryDef="true", includePartOfSpeech="noun,verb", minCorpusCount=1, maxCorpusCount=10, minDictionaryCount=1, maxDictionaryCount=10, minLength=5, maxLength=10, sortBy="alpha", sortOrder="asc", limit=15)
        
            # Output: ['ambivert', 'calcspar', 'deaness', 'entrete', 'gades', 'monkeydom', 'outclimbed', 'outdared', 'pistoleers', 'redbugs', 'snake-line', 'subrules', 'subtrends', 'torenia', 'unhides']
            ```
        
        3.  To get word of the day we can use these optional parameters
        
            - `date (string)` - Fetches by date in yyyy-MM-dd (optional)
        
            ```python
            r.word_of_the_day(date="2018-01-01")
        
            # Output: {"word": "qualtagh", "definations": [{"text": "The first person one encounters, either after leaving one\'s home or (sometimes) outside one\'s home, especially on New Year\'s Day.", "source": "wiktionary", "partOfSpeech": "noun"}, {"text": "A Christmas or New Year\'s ceremony, in the Isle of Man; one who takes part in the ceremony. See the first extract.", "source": "century", "partOfSpeech": "noun"}]}
            ```
        
        ## Development
        
        Assuming that you have [`Python`](https://www.python.org/) and [`pipenv`](https://docs.pipenv.org) installed, set up your environment and install the required dependencies like this instead of the `pip install random-word` defined above:
        
        ```sh
        $ git clone https://github.com/vaibhavsingh97/random-word.git
        $ cd random-word
        $ pipenv install
        ...
        $ pipenv shell
        ```
        
        Add API Key in `random_word` directory defining API Key in `config.py`. If you don't have an API key than request your API key [here](https://developer.wordnik.com)
        
        ```sh
        API_KEY = "<API KEY>"
        ```
        
        After that, install your package locally
        
        ```sh
        $ pip install -e .
        ```
        
        ## Issues
        
        You can report the bugs at the [issue tracker](https://github.com/vaibhavsingh97/random-word/issues)
        
        ## License
        
        Built with ♥ by Vaibhav Singh([@vaibhavsingh97](https://github.com/vaibhavsingh97)) under [MIT License](https://vaibhavsingh97.mit-license.org/)
        
        You can find a copy of the License at <https://vaibhavsingh97.mit-license.org/>
        
Keywords: package random words word of the day random word generator
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
