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Machine Learning With Google

Understanding machine learning models

Improving data analysis and decision-making

How Google uses logic in machine learning

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Machine Learning With Google

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DELETE METHOD

We pass id and mention that id_ is of type integer,
we check whether or not id_ exists in the database, if exists, delete the data and provide a response that the data is deleted
else we provide the error message.

In this way we can validate our data, we can use custom validators in the pydantic model too, like if we require to accept the name that must contain space then you can specify a validator for that,

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POST METHOD

We will request data in JSON format and pass the data to the Student class, Which will Return the Student object and store it in the student variable.
before inserting the student object into DB, we converted the Student object to a python dictionary and then inserted it into the dat...

21 reads

Serialization

In Python “serialization” does nothing else than just convert the given data structure (e.g. a dict ) into its valid JSON object. JSON is a format that encodes objects in a string. Serialization means to convert an object into that string, and deserializ...

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Pydantic

pydantic class allows custom data types to be defined or we can extend validation with methods on a model decorated with the validator decorator
Here, The datatype of name, grade, roll, email, phone, subjects, friends...

54 reads

PUT METHOD

We pass id and mention that id_ is of type integer,
We will request data to be updated in JSON format and pass the data to the Student class, Which will Return the Student object and store it in the student variable.
before inserting student objects into DB, we check whether ...

15 reads

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