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1. Image-Classifier-DSND Image-Classifier-DSND Public

   This project is basically a Python application that can train an image classifier on a dataset, then predict new images using the trained model. After developing the code for an image classifier bu…

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2. indexes_sample.py indexes_sample.py

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   # create indexes using Field.db_index value

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   class Product(models.Model):

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       name = models.CharField(max_length=128, db_index=True)

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       upc = models.CharField(max_length=32, unique=True)

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       category = models.ForeignKey(

3. caching_querysets.py caching_querysets.py

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   # instantiates a queryset and cache is empty.

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   product = Product.objects.get(id=5)

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   # Category object is retrieved from the database at this point 

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   # and the results are saved in queryset's cache.

4. async_to_sync_sample.py async_to_sync_sample.py

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   from asgiref.sync import async_to_sync

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   sync_function = async_to_sync(async_function)

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   @async_to_sync

5. prefetch_related.py prefetch_related.py

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   >>> Product.objects.count()

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   220

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   # 220 queries - __str__ is called for each product

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   Product.objects.all()

6. aggregating_annotations.py aggregating_annotations.py

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   from django.db.models import Avg, Count

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   # first annotates each product with number of attributes,

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   # and then aggregates the average number of authors using the annotated attribute

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