2017-08-22 Python×Djangoで作るHR Techサービスのメリット・デメリット
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This document contains code snippets showing how to use Django's admin interface to customize the display of user models, filter querysets by date ranges and fields, annotate querysets with aggregate counts, and prefetch related models to optimize database queries and printing related data. It demonstrates common Django ORM and admin tasks like customizing the admin, filtering, aggregating, selecting related fields, and prefetching to print related data efficiently.
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MidCareerProfile.objects.filter(
prefecture=' ', birthday__year__range=[1980, 1990])
>>> MidCareerProfile.objects.values('gender').annotate(cnt=Count('gender'))
<QuerySet [{'gender': 'male', 'cnt': 150}, {'gender': 'female', 'cnt': 100}]>
for c in Company.objects.select_related(‘category’).prefetch_related('joboffer_set'):
print(‘{}({}): {}’.format(
c.name,
c.category.name,
‘, ‘.join(c.joboffer_set.values_list(‘title’, flat=True)),
))](https://image.slidesharecdn.com/2017-08-22pythondjangohrtech-170823094121/85/2017-08-22-PythonxDjango-HR-Tech-10-320.jpg)
2017-08-22 Python×Djangoで作るHR Techサービスのメリット・デメリット
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- 4. Python×Django Python×Django Python×Django S3 Python×Flask
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- 8. from django.contrib import admin from apps.account.models import User @admin.register(User) class UserAdmin(admin.ModelAdmin): list_display = ('created', 'last_access', 'get_full_name', 'email') search_fields = ('email',)
- 10. ▸ ▸ ▸ ▸ MidCareerProfile.objects.filter( prefecture=' ', birthday__year__range=[1980, 1990]) >>> MidCareerProfile.objects.values('gender').annotate(cnt=Count('gender')) <QuerySet [{'gender': 'male', 'cnt': 150}, {'gender': 'female', 'cnt': 100}]> for c in Company.objects.select_related(‘category’).prefetch_related('joboffer_set'): print(‘{}({}): {}’.format( c.name, c.category.name, ‘, ‘.join(c.joboffer_set.values_list(‘title’, flat=True)), ))
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