### Understanding the Question

This question pertains to the functionality of Object-Relational Mapping (ORM) in Python. ORMs allow developers to interact with a database using Python objects rather than SQL queries.

### Evaluation of Options

1. **True**: This option suggests that an ORM does indeed allow the saving of entire Python objects.
2. **False**: This option suggests that an ORM cannot save entire Python objects.

### Correct Answer

The correct answer is **True**.

### Explanation

ORMs provide an abstraction layer that enables developers to use Python objects to represent database entities. By using ORM, you can create, read, update, and delete database records as if they were simple objects. For instance, when you save an object of a class that maps to a table in your database, the ORM automatically translates that object into a corresponding database row, which means you can work with Python objects intuitively.

### Final Answer

**True**: Using an ORM enables us to save entire Python objects in our database.

Question

### Understanding the Question

This question pertains to the functionality of Object-Relational Mapping (ORM) in Python. ORMs allow developers to interact with a database using Python objects rather than SQL queries.

### Evaluation of Options

1. **True**: This option suggests that an ORM does indeed allow the saving of entire Python objects.
2. **False**: This option suggests that an ORM cannot save entire Python objects.

### Correct Answer

The correct answer is **True**.

### Explanation

ORMs provide an abstraction layer that enables developers to use Python objects to represent database entities. By using ORM, you can create, read, update, and delete database records as if they were simple objects. For instance, when you save an object of a class that maps to a table in your database, the ORM automatically translates that object into a corresponding database row, which means you can work with Python objects intuitively.

### Final Answer

**True**: Using an ORM enables us to save entire Python objects in our database.

Knowee AI · Accepted Answer

### Understanding the Question

This question pertains to the functionality of Object-Relational Mapping (ORM) in Python. ORMs allow developers to interact with a database using Python objects rather than SQL queries.

### Evaluation of Options

1. **True**: This option suggests that an ORM does indeed allow the saving of entire Python objects.
2. **False**: This option suggests that an ORM cannot save entire Python objects.

### Correct Answer

The correct answer is **True**.

### Explanation

ORMs provide an abstraction layer that enables developers to use Python objects to represent database entities. By using ORM, you can create, read, update, and delete database records as if they were simple objects. For instance, when you save an object of a class that maps to a table in your database, the ORM automatically translates that object into a corresponding database row, which means you can work with Python objects intuitively.

### Final Answer

**True**: Using an ORM enables us to save entire Python objects in our database.

Using an ORM enables us to save entire Python objects in our database.Group of answer choicesTrueI don't know.False PreviousNext

Question

Using an ORM enables us to save entire Python objects in our database.

Solution

Understanding the Question

Evaluation of Options

Correct Answer

Explanation

Final Answer

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