Deep Learning - Computer Vision for Beginners Using PyTorch - Type Conversion and Type Casting

The video tutorial explains data types in Python, focusing on type conversion. It covers implicit type conversion, where Python automatically converts data types to prevent data loss, and explicit type conversion, where users manually convert data types using functions like int, float, and str. Examples illustrate both conversion types, highlighting potential data loss during explicit conversion.

What are the two types of type conversion in Python?

• Automatic and Manual

• Implicit and Explicit

• Direct and Indirect

• Static and Dynamic

In implicit type conversion, what does Python do to prevent data loss?

• Converts larger data types to smaller ones

• Converts smaller data types to larger ones

• Throws an error

• Keeps data types unchanged

What happens when you try to add a string and an integer in Python without conversion?

• The string is automatically converted to an integer

• The integer is automatically converted to a string

• A type error occurs

• The operation is performed successfully

Which function would you use to convert a string to an integer in Python?

• str()

• int()

• float()

• bool()

What is another term for explicit type conversion?

• Typemapping

• Typebinding

• Typechecking

• Typecasting

What is a potential risk when performing explicit type conversion?

• Increased complexity

• Slower execution

• Loss of data

• Increased memory usage

Which of the following is NOT a predefined function for type conversion in Python?

• int()

• bool()

• float()

• string()