old_contents: from django.shortcuts import render
  from wikipendium.wiki.models import Article
  from django.utils import timezone
  from collections import Counter
  from django.utils.timezone import utc
  from datetime import datetime
  from wikipendium.cache.decorators import cache
  
  
  def index(request):
      acs = Article.get_all_newest_contents_all_languages()
      now = timezone.now()
  
      acs_updated_in_the_last_24_hours = filter(
          lambda ac: ac.updated > now - timezone.timedelta(hours=24), acs)
  
      user_stats = _generate_user_statistics_for_one_day(
          year=now.year, month=now.month, day=now.day
      )
  
      return render(request, 'stats/index.html', {
          'number_of_acs_updated_in_the_last_24_hours':
              len(acs_updated_in_the_last_24_hours),
          'users': user_stats
      })
  
  
  @cache
  def _generate_user_statistics_for_one_day(**kwargs):
      now = datetime(kwargs['year'], kwargs['month'], kwargs['day'])
      now = now.replace(tzinfo=utc)
      users_24_hours = map(
          lambda a: a.edited_by,
          Article.get_all_contents(timezone.timedelta(hours=24), now)
          )
      users_week = map(
          lambda a: a.edited_by,
          Article.get_all_contents(timezone.timedelta(weeks=1), now)
          )
      users_month = map(
          lambda a: a.edited_by,
          Article.get_all_contents(timezone.timedelta(weeks=4), now)
          )
  
      user_most_contributions_24_hours = next(
          iter(Counter(users_24_hours).most_common(1)), [None, 0])
      user_most_contributions_week = next(
          iter(Counter(users_week).most_common(1)), [None, 0])
      user_most_contributions_month = next(
          iter(Counter(users_month).most_common(1)), [None, 0])
  
      return {
          'most_contrib_24_hours': {
              'user': user_most_contributions_24_hours[0],
              'contributions': user_most_contributions_24_hours[1],
          },
          'most_contrib_week': {
              'user': user_most_contributions_week[0],
              'contributions': user_most_contributions_week[1],
          },
          'most_contrib_month': {
              'user': user_most_contributions_month[0],
              'contributions': user_most_contributions_month[1],
          }
      }
  
new_contents: from django.shortcuts import render
  from wikipendium.wiki.models import Article
  from django.utils import timezone
  from collections import Counter
  from django.utils.timezone import utc
  from datetime import datetime
  from wikipendium.cache.decorators import cache
  
  
  def index(request):
      acs = Article.get_all_newest_contents_all_languages()
      now = timezone.now()
  
      acs_updated_in_the_last_24_hours = filter(
          lambda ac: ac.updated > now - timezone.timedelta(hours=24), acs)
  
      user_stats = _generate_user_statistics_for_one_day(
          year=now.year, month=now.month, day=now.day
      )
  
      return render(request, 'stats/index.html', {
          'number_of_acs_updated_in_the_last_24_hours':
              len(acs_updated_in_the_last_24_hours),
          'users': user_stats
      })
  
  
  @cache
  def _generate_user_statistics_for_one_day(year=None, month=None, day=None):
      now = datetime(year, month, day)
      now = now.replace(tzinfo=utc)
      users_24_hours = map(
          lambda a: a.edited_by,
          Article.get_all_contents(timezone.timedelta(hours=24), now)
          )
      users_week = map(
          lambda a: a.edited_by,
          Article.get_all_contents(timezone.timedelta(weeks=1), now)
          )
      users_month = map(
          lambda a: a.edited_by,
          Article.get_all_contents(timezone.timedelta(weeks=4), now)
          )
  
      user_most_contributions_24_hours = next(
          iter(Counter(users_24_hours).most_common(1)), [None, 0])
      user_most_contributions_week = next(
          iter(Counter(users_week).most_common(1)), [None, 0])
      user_most_contributions_month = next(
          iter(Counter(users_month).most_common(1)), [None, 0])
  
      return {
          'most_contrib_24_hours': {
              'user': user_most_contributions_24_hours[0],
              'contributions': user_most_contributions_24_hours[1],
          },
          'most_contrib_week': {
              'user': user_most_contributions_week[0],
              'contributions': user_most_contributions_week[1],
          },
          'most_contrib_month': {
              'user': user_most_contributions_month[0],
              'contributions': user_most_contributions_month[1],
          }
      }
  
subject: Use more idiomatic kwargs specification in stats