Uses pandas to infer datatypes leads to nasty coercions. Also, pandas --> objects --> chunk based reading yields the same performance as any other library you mentioned.
Absolutely. On top of that, the Pandas object type (most people's default for strings) can house any scalar type, including ints and floats. This has hit a LOT of immature adoption of pyspark, for example, where the datatypes get screwy.
