[Python] How to ensure numeric values are ingested as "Integers" or "Floats" in Python

I have a large dataset derived from the ingestion of a CSV file. Every time I pull the data in using df = pd.read_csv, the features in the dataset show up as "objects". This leads me to the following questions:

1. How do I ensure integers and floats are pulled in as integers and floats and not "objects"? Ive never seen this "object" issue before.
2. Is there a way to convert "object" to "int" or "float" as I don't see a series of commands to enable me to do so?

Thanks for any input in advance.

I've looked and tried everything; I see no means of converting "objects" I do not know the cause of this data import issue.

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