Python

for idx, row in df.iterrows():
    if  df.loc[idx,'Qty'] == 1 and df.loc[idx,'Price'] == 10:
        df.loc[idx,'Buy'] = 1

mask = (df['Qty'] == 1) & (df['Price'] == 10)
df.loc[mask, 'Buy'] = 1

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