text: ###########################################################################################################
  # This is an example script that demonstrates how you may create a dataset version, import events into it #
  # and subsequently make that dataset version ready and alert you as to when it is ready                   #
  ###########################################################################################################
  
  from mixpanel_api import Mixpanel
  import sys
  
  if __name__ == '__main__':
  	credentials = {
  		# You can also use a datasets secret here for any version or import function instead
  		# For listing or deleting datasets, however, you must use the project API secret
  		'API_secret': '',
  		'dataset_id': '',
  		'token': '', 
  	}
  
  	event_import_file = ''
  
  	m = Mixpanel(
  		credentials['API_secret'],
  		token=credentials['token'],
  		dataset_id=credentials['dataset_id'],
  		pool_size=1,
  		)
  
  	result = m.create_dataset_version()
  	latest_version = result['version_id']
  	
  	# print the version id you are using in case you want it in future
  	print(latest_version)
  
  	# You can then import events by specifying a file that is JSON formatted with an array of Mixpanel events or a CSV of Mixpanel events
  	# see HERE for more information on Mixpanel event objects
  	m.import_events(event_import_file, timezone_offset=0, dataset_version=latest_version)
  	print('done importing')
  
  	m.mark_dataset_version_readable(latest_version)
  	# let's wait until this version is ready now
  	m.wait_until_dataset_version_ready(latest_version)
  	print('dataset version is ready')
  
  