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Data Types
Raw data is often given to you from the marketing team with the wrong types! For example, numbers as strings can't directly be used in calculations:
grade_strings = pd.Series(["99.8", "95.0", "81.5"])
The handy Pandas .astype() method converts every value in a Series, so we can use it to quickly get actual floats:
grade_floats = grade_strings.astype(float)
Assignment
Complete the convert_temperatures function. Create a Pandas Series from the temperatures list, convert its values to floats, and return it.