result= "%0.2f" % your_calc_result

dict = {'course1': [15,12],
        'course2': [9,6],
        'course3': [12,15],
        'course4': [15,3],
        'course5': [15,9],
        'course6': [9,12]}
df = pd.DataFrame(dict)
normal_load = 3.0
df['FirstPart_GPA'] = 0
for i in range(len(df.index)):
    result="%0.2f" % (float(df.loc[i].sum())/(normal_load*5.00))
    print(result)

5.00
3.80