Multiprocessing my Loop/Iteration (Try...Except)

[Jompie96]

Im converting one chemical notation to another type. My list has like over 6k different names to convert and it takes so long. How can I use multiprocessing? I tried to implement myself, but im a noob. Other code optimisations are welcome too!

I tried to implement multiprocessing myself, but im a noob

def resolve(str_input, representation):
    import cirpy
    return cirpy.resolve(str_input, representation)

compound_list = []
smiles_list = []

for index, row in df_Verteilung.iterrows():

    try:
        actual_smiles = resolve(row['Compound'], 'smiles')

    except:
        actual_smiles = 'Error'

    print('\r', row['Compound'], actual_smiles, end='')

    compound_list.append(row['Compound'])
    smiles_list.append(actual_smiles)

df_new = pd.DataFrame({'Compound' : compound_list, 'SmilesCode' : smiles_list})
df_new.to_csv(index=False)