This is a simple python package to generate random english words. If you need help after reading the below, please find me at @vaibhavsingh97 on Twitter.

If you love the package, please 🌟 the repo.

You should be able to install using easy_install or pip in the usual ways:

$ easy_install random-word
$ pip install random-word

Or just clone this repository and run:

$ python3 setup.py install

Or place the random-word folder that you downloaded somewhere where it can be accessed by your scripts.

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()

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)

   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)

   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)

   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"}]}

Assuming that you have Python and pipenv installed, set up your environment and install the required dependencies like this instead of the pip install random-word defined above:

$ 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

API_KEY = "<API KEY>"

After that, install your package locally

$ pip install -e .

You can report the bugs at the issue tracker

Built with ♥ by Vaibhav Singh(@vaibhavsingh97) under MIT License

You can find a copy of the License at https://vaibhavsingh97.mit-license.org/