“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。

作为Python中长字符串的一般方法，可以使用三引号、拆分和连接：

_str = ' '.join('''Lorem ipsum dolor sit amet, consectetur adipiscing
        elit, sed do eiusmod tempor incididunt ut labore et dolore
        magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation
        ullamco laboris nisi ut aliquip ex ea commodo.'''.split())

输出：

'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo.'

关于OP关于SQL查询的问题，下面的答案忽略了这种构建SQL查询方法的正确性，只关注于以可读和美观的方式构建长字符串，而不需要额外的导入。它也忽略了这带来的计算负载。

使用三重引号，我们构建了一个长且可读的字符串，然后使用split（）将其分解为一个列表，从而剥离空白，然后使用“”.jjoin（）将它连接起来。最后，我们使用format（）命令插入变量：

account_id = 123
def_id = 321

_str = '''
    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 = {}
    '''

query = ' '.join(_str.split()).format(account_id, account_id, def_id)

生产：

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 = 123 AND record_def.account_id=123 AND def_id=321

这种方法不符合PEP8，但我发现它有时很有用。

请注意，format（）函数使用了原始字符串中的大括号。

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。

PEP 8风格指南建议使用括号：

包装长行的首选方式是在括号、括号和大括号内使用Python的隐含行延续。通过将表达式括在括号中，可以在多行上打断长行。应优先使用这些字符，而不是使用反斜杠作为换行符。

例子：

long_string = (
    "This is a lengthy string that takes up a lot of space. I am going to "
    "keep on typing words to fill up more and more space to show how you can "
    "split the string across multiple lines."
)

我知道这是一个相当古老的问题，但Python在此期间发生了变化，我看不到这个答案，所以我们开始。

另一种方法是使用\剪切当前行并移动到另一行：

print("This line will \
get carried over to\
 the new line.\
Notice how this\
word will be together because \
of no space around it")

结合以下观点：

Levon或Jesse、Faheel和ddrscott

根据我的格式建议，您可以将查询写成：

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 = ?' # account_id
             ' AND'
             ' record_def.account_id = ?'      # account_id
             ' AND'
             ' def_id = ?'                     # def_id
         )

 vars = (account_id, account_id, def_id)     # A tuple of the query variables
 cursor.execute(query, vars)                 # Using Python's sqlite3 module

或类似：

vars = []
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 = '
                 vars.append(account_id) or '?'
             ' AND'
             ' record_def.account_id = '
                 vars.append(account_id) or '?'
             ' AND'
             ' def_id = '
                 vars.append(def_id) or '?'
         )

 cursor.execute(query, tuple(vars))  # Using Python's sqlite3 module

与“IN”和“vars.extend（options）”或“n_options（len（option））”一起使用可能很有趣，其中：

def n_options(count):
    return '(' + ','.join(count*'?') + ')'

或者从darkcaline那里得到的提示是，您可能仍然会在使用前导空格和分隔符以及命名占位符时出错：

SPACE_SEP = ' '
COMMA_SEP = ', '
AND_SEP   = ' AND '

query = SPACE_SEP.join((
    'SELECT',
        COMMA_SEP.join((
        'action.descr as "action"',
        'role.id as role_id',
        'role.descr as role',
        )),
    'FROM',
        COMMA_SEP.join((
        'public.role_action_def',
        'public.role',
        'public.record_def',
        'public.action',
        )),
    'WHERE',
        AND_SEP.join((
        'role.id = role_action_def.role_id',
        'record_def.id = role_action_def.def_id',
        'action.id = role_action_def.action_id',
        'role_action_def.account_id = :account_id',
        'record_def.account_id = :account_id',
        'def_id = :def_id',
        )),
    ))

vars = {'account_id':account_id,'def_id':def_id}  # A dictionary of the query variables
cursor.execute(query, vars)                       # Using Python's sqlite3 module

请参阅Cursor.execute-function的文档。

“这是[最Python]的方式！”-。。。