我通常用这样的词：

text = '''
    This string was typed to be a demo
    on how could we write a multi-line
    text in Python.
'''

如果要删除每行中烦人的空格，可以执行以下操作：

text = '\n'.join(line.lstrip() for line in text.splitlines())

嗯。

我知道这个问题发布已经很久了。但我刚刚找到了我想用来为项目中的变量分配长字符串和多行字符串的样式。这需要一点额外的运行时间，但仍然保留了代码的美感，即使我将字符串分配给的变量缩进很大。

    # Suppose the following code is heavily indented
    line3header = "Third"

    variable = fr"""

First line.
Second line.
{line3header} line.
{{}} line.
...
The last line.

    """.strip()
    """A variable whose name is Variable.

    You can even add a docstring here.
    """

    variable = variable.format("Fourth")
    print(variable)
    variable += "\n"
    print(variable, end="")

就这样。

例如：

sql = ("select field1, field2, field3, field4 "
       "from table "
       "where condition1={} "
       "and condition2={}").format(1, 2)

Output: 'select field1, field2, field3, field4 from table
         where condition1=1 and condition2=2'

如果条件的值应该是字符串，可以这样做：

sql = ("select field1, field2, field3, field4 "
       "from table "
       "where condition1='{0}' "
       "and condition2='{1}'").format('2016-10-12', '2017-10-12')

Output: "select field1, field2, field3, field4 from table where
         condition1='2016-10-12' and condition2='2017-10-12'"

“la”Scala方式（但我认为这是OP要求的最具Python风格的方式）：

description = """
            | The intention of this module is to provide a method to
            | pass meta information in markdown_ header files for
            | using it in jinja_ templates.
            |
            | Also, to provide a method to use markdown files as jinja
            | templates. Maybe you prefer to see the code than
            | to install it.""".replace('\n            | \n','\n').replace('            | ',' ')

如果您希望最后的str没有跳转行，只需将\n放在第二个替换的第一个参数的开头：

.replace('\n            | ',' ')`.

注意：“…templates.”和“另外，…”之间的白线需要在|后面加一个空格。

我个人认为，以下是用Python编写原始SQL查询的最佳（简单、安全和Python化）方法，尤其是在使用Python的sqlite3模块时：

query = '''
    SELECT
        action.descr as action,
        role.id as role_id,
        role.descr as role
    FROM
        public.role_action_def,
        public.role,
        public.record_def,
        public.action
    WHERE
        role.id = role_action_def.role_id
        AND record_def.id = role_action_def.def_id
        AND action.id = role_action_def.action_id
        AND role_action_def.account_id = ?
        AND record_def.account_id = ?
        AND def_id = ?
'''
vars = (account_id, account_id, def_id)   # a tuple of query variables
cursor.execute(query, vars)   # using Python's sqlite3 module

Pros

整洁而简单的代码（Pythonic！）避免SQL注入与Python 2和Python 3兼容（毕竟是Pythonic）不需要字符串串联无需确保每行最右边的字符是空格

Cons

由于查询中的变量被替换为？占位符，它可能会变得有点难以跟踪哪个？当查询中有很多Python变量时，将由哪个Python变量替换。

我使用递归函数来构建复杂的SQL查询。此技术通常可用于构建大型字符串，同时保持代码可读性。

# Utility function to recursively resolve SQL statements.
# CAUTION: Use this function carefully, Pass correct SQL parameters {},
# TODO: This should never happen but check for infinite loops
def resolveSQL(sql_seed, sqlparams):
    sql = sql_seed % (sqlparams)
    if sql == sql_seed:
        return ' '.join([x.strip() for x in sql.split()])
    else:
        return resolveSQL(sql, sqlparams)

P.S.：看看很棒的python-sqlparse库，如果需要，可以打印SQL查询。