U235U235

conditions = [
    {
        'min_lvl': 0,
        'max_lvl': 10,
        'exp': 10000
    },
    {
        'min_lvl': 10,
        'max_lvl': 20,
        'exp': 20000
    },
]

for _cond in conditions:
    if lvl < _cond['max_lvl'] and lvl >= _cond['min_lvl'] and exp % _cond['exp'] == 0:
        cursor.execute(f"UPDATE users SET lvl = lvl + 1 WHERE id = {message.author.id}")
        connection.commit()
        break

df_ = df.loc[:,[nuimeric_column1,numrec_column2]] = df.loc[:,[nuimeric_column1,numrec_column2]].replace('?',np.NaN).astype(float)

(
    df.assign(
        numeric1=lambda x: x['numeric1'].replace('?',np.NaN).astype(float),
        numeric2=lambda x: x['numeric2'].replace('?',np.NaN).astype(float)
    )
    .groupby('Category')
    .agg(['mean','median'])  
)

lst = []
l = []
for i in range(3):
    l.append(i)
    lst.append(l[:])
print(lst)