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Job hunting online with Sandy Lim This month, we cover job hunting online, with a look at pay scales in the current job market; advice on preparing a quality resume; and a neat community forum for small business owners and freelancers. [Paycheck] The Great Australian Pay Check The Great Australian Pay Check susses out pay scales, perks, work-life balance and job satisfaction across the Aussie job market - letting you find out where you fit in without having to ask. Great for planning your next career move. [careerone] Career One Resume Advice Get good recommendations for the Australian style of resume writing, common Gen Y and migrant job search issues, and writing for specific recruitment audiences. When you're done, there's also cover letter & interview advice and a redundancy survival guide. [flying solo] Flying Solo If being your own boss is more your style, check out the Flying Solo community for articles on growing and promoting your business, how to work and & network smarter, and keeping your work-life balance in check. They've also got a discussion forum for specific advice and general banter. Still confused? All you internet first-timers can cut your teeth on our Broadband for Beginners workshops, where we also cover employment & social networking.
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>>> tags = Tag.objects.usage_for_model(Widget, counts=True)
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[('cheese', 1), ('house', 2), ('thing', 1), ('toast', 1)]
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def usage_for_model(self, model, counts=False, min_count=None, filters=None): """ Obtain a list of tags associated with instances of the given Model class. If ``counts`` is True, a ``count`` attribute will be added to each tag, indicating how many times it has been used against the Model class in question. If ``min_count`` is given, only tags which have a ``count`` greater than or equal to ``min_count`` will be returned. Passing a value for ``min_count`` implies ``counts=True``. To limit the tags (and counts, if specified) returned to those used by a subset of the Model's instances, pass a dictionary of field lookups to be applied to the given Model as the ``filters`` argument. """ if filters is None: filters = {} if min_count is not None: counts = True model_table = qn(model._meta.db_table) model_pk = '%s.%s' % (model_table, qn(model._meta.pk.column)) query = """ SELECT DISTINCT %(tag)s.id, %(tag)s.name%(count_sql)s FROM %(tag)s INNER JOIN %(tagged_item)s ON %(tag)s.id = %(tagged_item)s.tag_id INNER JOIN %(model)s ON %(tagged_item)s.object_id = %(model_pk)s %%s WHERE %(tagged_item)s.content_type_id = %(content_type_id)s %%s GROUP BY %(tag)s.id, %(tag)s.name %%s ORDER BY %(tag)s.name ASC""" % { 'tag': qn(self.model._meta.db_table), 'count_sql': counts and (', COUNT(%s)' % model_pk) or '', 'tagged_item': qn(self._get_related_model_by_accessor('items')._meta.db_table), 'model': model_table, 'model_pk': model_pk, 'content_type_id': ContentType.objects.get_for_model(model).pk, } extra_joins = '' extra_criteria = '' min_count_sql
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usage_for_model
http://nltk.googlecode.com/svn/trunk/doc/book/ch01.html - 0 views
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We can count how often a word occurs in a tex
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Adding two lists creates a new list
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count the occurrences of a particular word using text1.count('heaven')
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