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-wordOr just clone this repository and run:
$ python3 setup.py installOr 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()-
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
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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 byalphaorcount(optional)sortOrder (string)- Sort direction byascordesc(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']
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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 shellAdd 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/