python的ORM框架peewee
SQLAlchemy
psycopg2
Django
在1 的基础上，重点突出自己以前没注意的，做到精而不杂！！！
Python是如何进行内存管理的
1).对象的引用计数机制
Python内部使用引用计数，来保持追踪内存中的对象，所有对象都有引用计数。
引用计数增加的情况：
一个对象分配一个新名称
将其放入一个容器中（如列表、元组或字典）
引用计数减少的情况：
使用del语句对对象别名显示的销毁
引用超出作用域或被重新赋值
2).垃圾回收
当一个对象的引用计数归零时，它将被垃圾收集机制处理掉。
3).内存池机制
Python提供了对内存的垃圾收集机制，但是它将不用的内存放到内存池而不是返回给操作系统:
Pymalloc机制：为了加速Python的执行效率，Python引入了一个内存池机制，用于管理对小块内存的申请和释放。
对于Python对象，如整数，浮点数和List，都有其独立的私有内存池，对象间不共享他们的内存池。也就是说如果你分配又释放了大量的整数，用于缓存这些整数的内存就不能再分配给浮点数。
内存中读写
from io import StringIO
def out_str():
return 'out
string
hello
world'
s = StringIO(out_str())
s.getvalue()
s.seek(0,2)
s.write('haha')
s.getvalue()
# 如果去掉 s.seek(0,2) 则意味着默认指针从 0 位置开始写入，那么haha将替换掉out
四个字符长度
# 所以这里 seek , tell 是隐藏的俩有用的玩意儿, s.write() 调用完指针在当前位置即最后一个字符，StringIO(str) 这种指针在 0 处 ，改用seek时候用seek
具体请看下面这操作
# StringIO和BytesIO
# stringIO 比如说，这时候，你需要对获取到的数据进行操作，但是你并不想把数据写到本地硬盘上，这时候你就可以用stringIO
from io import StringIO
from io import BytesIO
def outputstring():
return 'string
from
outputstring
function'
s = outputstring()
# 将函数返回的数据在内存中读
sio = StringIO(s)
# 可以用StringIO本身的方法
print(sio.getvalue())
# 也可以用file-like object的方法
s = sio.readlines()
for i in s:
print(i.strip())
print('*'*100)
# 将函数返回的数据在内存中写
sio = StringIO()
sio.write(''.join(s))
# 可以用StringIO本身的方法查看
s=sio.getvalue()
print(s)
print('*'*100)
# 如果你用file-like object的方法查看的时候，你会发现数据为空
sio = StringIO()
sio.write(s) # write 会把指针丢往最后
for i in sio.readlines():
print(i.strip())
print('*'*100)
# 这时候我们需要修改下文件的指针位置
# 我们发现可以打印出内容了
sio = StringIO()
sio.write(s)
sio.seek(0,0)
print(sio.tell())
for i in sio.readlines():
print(i.strip())
# 这就涉及到了两个方法seek 和 tell
# tell 方法获取当前文件读取指针的位置
# seek 方法，用于移动文件读写指针到指定位置,有两个参数，第一个offset: 偏移量，需要向前或向后的字节数，正为向后，负为向前；第二个whence: 可选值，默认为0，表示文件开头，1表示相对于当前的位置，2表示文件末尾
# 用seek方法时，需注意，如果你打开的文件没有用'b'的方式打开，则offset无法使用负值哦
print('*'*100)
# stringIO 只能操作str，如果要操作二进制数据，就需要用到BytesIO
# 上面的sio无法用seek从当前位置向前移动，这时候，我们用'b'的方式写入数据，就可以向前移动了
bio = BytesIO()
bio.write(s.encode('utf-8'))
print(bio.getvalue())
bio.seek(-36,1)
print(bio.tell())
for i in bio.readlines():
print(i.strip().decode('utf-8'))
print(len('string
from
outputstring
function'))
进度条
from __future__ import division
import sys,time
j = '#'
for i in range(1,61):
j += '#'
sys.stdout.write(str(int((i/60)*100))+'% ||'+j+'->'+"
")
sys.stdout.flush()
time.sleep(0.1)
动态加载一个目录下的所有模块
目录：
---test
----a.py
----b.py
---c.py
c.py导入test下面的所有模块：
for path in ["test"]:
for i in list(set([os.path.splitext(i)[0] for i in os.listdir("./"+path)])):
if i!="__init__" and i!=".DS_Store": ##排除不必要的文件
import_string = "import path+"."+i+"
exec import_string #执行字符串中的内容
setup.py , init.py
# 三方法去重
# 方法一利用 set 集合不重复特性
>>> list1 = [2,3,8,4,9,5,6]
>>> list2 = [5,6,10,17,11,2]
>>> set(sorted(list1)+sorted(list2))
{2, 3, 4, 5, 6, 8, 9, 10, 11, 17}
# 方法二利用 dict 的 keys 不能重复的特点
>>> {}.fromkeys(sorted(list1)+sorted(list2)).keys()
dict_keys([2, 3, 4, 5, 6, 8, 9, 10, 11, 17])
# 方法三，自定义函数判断如果重复则删除
>>> def distinct(lst):
... lst.sort()
... last = lst[-1]
... for i in range(len(lst)-2,-1,-1):
... if last == lst[i]:
... del lst[i]
... else:
... last = lst[i]
... return lst
...
>>> distinct(list1+list2)
[2, 3, 4, 5, 6, 8, 9, 10, 11, 17]
python set集合运算（交集，并集，差集，对称差集）
1》交集
x={1,2,3,4}
y={3,4,5,6}
x
set([1, 2, 3, 4])y
set([3, 4, 5, 6])x&y
set([3, 4])x.intersection(y)
set([3, 4])
2》并集x | y #集合并集
set([1, 2, 3, 4, 5, 6])x.union(y)
set([1, 2, 3, 4, 5, 6])
3》差集x-y # x与y的差集
set([1, 2])x.difference(y)# x与y的差集
set([1, 2])y-x # y与x的差集
set([5, 6])y.difference(x)# y与x的差集
set([5, 6])
4》对称差集x^y
set([1, 2, 5, 6])y^x
set([1, 2, 5, 6])x.symmetric_difference(y)
set([1, 2, 5, 6])y.symmetric_difference(x)
set([1, 2, 5, 6])
5》集合的子集和超集x
set([1, 2, 3, 4])z
set([1, 2, 3])z.issubset(x)#z是x的子集
Truex.issuperset(z)#x是z的超集
True
下面的图片形象地展示了set集合的各种运算：
集合 x <==> ① + ②
集合 x <==> ② + ③
交集 x&6 <==> ②
并集 x|y <==> ① + ② + ③
差集 x-y <==> ①
差集 y-x <==> ③
对称差集 x^y == y^x <==> ① + ③
# 自己想的一个 随机生成一个 max 位数的 生成器,也许没什么用，但是既然想了就写上吧。。。
>>> import random
>>> def g_rand_range(max):
... for i in range(1,max+1,1):
... yield random.randint(1,10)
...
>>> for i in g_rand_range(10):
... print(i)
#下面的代码会不会报错
list = ['a', 'b', 'c', 'd', 'e']
print(list[10:])
答案是并不会。。
当试图访问一个超过列表索引值的成员将导致 IndexError（比如访问以上列表的 list[10]）。尽管如此，试图访问一个列表的以超出列表长度数作为开始索引的切片将不会导致 IndexError，并且将仅仅返回一个空列表
# 猜猜下面执行后的结果:
def extendList(val, list=[]):
list.append(val)
return list
list1 = extendList(10) # list 为可变类型 10
list2 = extendList(123,[]) # 123
list3 = extendList('a') # 10,'a' 而这个地方 list3 再次操作了 list1 时候的那个 列表 连带 list1 都变成了 10,'a'
print ("list1 = %s" % list1)
print ("list2 = %s" % list2)
print ("list3 = %s" % list3)
list1 = [10, 'a']
list2 = [123]
list3 = [10, 'a']
为了避免这样的问题， 可以 采用以下做法,参数列表里赋值为None
def extendList(val, list=None):
if list is None:
list = []
list.append(val)
return list
list1 = extendList(10) # list 为可变类型 10
list2 = extendList(123,[]) # 123
list3 = extendList('a') # 10,'a'
print ("list1 = %s" % list1)
print ("list2 = %s" % list2)
print ("list3 = %s" % list3)
list1 = [10]
list2 = [123]
list3 = ['a']
any ， all
>>>all([1<2,3>2])
True
>>> any([1<2,3<2])
True
>>>
# 反序一下
a = [0, 1, 2, 3, 4, 5, 7, 8, 9, 10]
>>> ','.join(map(str,a[::-1]))
## 问题 @classmethod 与 @staticmethod 的区别，为啥要用这些装饰器
# 我看完举例后的浅显理解是 classmethod 解决了 c++ , java 中重载的问题，
#@staticmethod 可以不用创建对象直接类调用并且能够被其子类轻易继承。。。
class Date(object):
def __init__(self, day=0, month=0, year=0):
self.day = day
self.month = month
self.year = year
@classmethod
def from_string(cls, date_as_string):
day, month, year = map(int, date_as_string.split('-'))
date1 = cls(day, month, year)
return date1
@staticmethod
def is_date_valid(date_as_string):
day, month, year = map(int, date_as_string.split('-'))
return day <= 31 and month <= 12 and year <= 3999
date2 = Date.from_string('11-09-2012')
is_date = Date.is_date_valid('11-09-2012')
# 改写一下 加深理解
import re
class Date(object):
def __init__(self,day=0,month=0,year=0):
self.day = day
self.month = month
self.year = year
@staticmethod
def split_date_string(delimeter,date_as_string):
day,month,year = map(int,date_as_string.split(delimeter))
return day,month,year
@staticmethod
def is_valid_date(date_as_string,delimeter):
r_string = r'd{1,2}%sd{1,2}%sd{4}' %(delimeter,delimeter)
print(r_string)
if re.match(r_string,date_as_string):
day,month,year = Date.split_date_string(delimeter,date_as_string)
else:
raise ValueError('不支持的日期格式')
return day<=31 and month<=12 and year<=3999
@classmethod
def from_string(cls,date_as_string,delimeter):
if cls.is_valid_date(date_as_string,delimeter):
day,month,year = cls.split_date_string(delimeter,date_as_string)
return cls(day,month,year)
def __str__(self):
return '/'.join(list(map(str,[self.day,self.month,self.year])))
date2 = Date.from_string('01/09/2012','/')
date3 = Date.from_string('01-09-2012','-')
print(date2)
print(date3)
单例 四种方法， new，装饰器，共享属性 ，import 模块，考虑线程安全问题！！！
#new 类似于 java 的懒汉式 单例，判断是否有，没有就创建
# 第一种方法 new 方法
class Singleton(object):
def __new__(cls,*args,**kw):
if not hasattr(cls,'_instance'):
cls._instance = super(Singleton,cls).__new__(cls,*args,**kw)
return cls._instance
s1 = Singleton()
s2 = Singleton()
s1 == s2
class Singleton(object):
def __new__(cls, *args, **kw):
if not hasattr(cls, '_instance'):
orig = super(Singleton, cls)
cls._instance = orig.__new__(cls, *args, **kw)
return cls._instance
def __init__(self,*args,**kw):
pass
s1 = Singleton()
s2 = Singleton()
print(s1==s2)
print(s1 is s2)
print(type(s1),'--',type(s2))
# 装饰器
## 函数式装饰器
def singleton(cls,*args,**kw):
def get_instance():
instance = {}
if cls not in instance:
instance[cls] = cls(*args,**kw)
return instance[cls]
return get_instance
@singleton
class Class_Demo(object):
def __new__(cls,*args,**kw):
pass
c1 = Class_Demo()
c2 = Class_Demo()
c1 is c2
## 类装饰器
# 共享属性
class Borg(object):
_state = {}
def __new__(cls, *args, **kw):
ob = super(Borg, cls).__new__(cls, *args, **kw)
ob.__dict__ = cls._state
return ob
class MyClass(Borg):
def __new__(cls,*args,**kw):
pass
c1 = MyClass()
c2 = MyClass()
c1 is c2
Python中9种生成新对象的方法
先定义一个类：
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
下面我们使用9种方法来生成新的对象：
point1 = Point(1, 2)
point2 = eval("{}({}, {})".format("Point", 1, 2))
point3 = globals()["Point"](1, 2)
point4 = locals()["Point"](1, 2)
point5 = getattr(sys.modules[__name__], "Point")(1, 2)
point6 = copy.deepcopy(point1)
point7 = point1.__class__(1, 2)
point8 = type('Point', (Point, ), {})(1, 2)
point9 = types.new_class('Point', (Point, ), {})(1, 2
阅读下面的代码，它的输出结果是什么？
class Node(object):
def __init__(self,sName):
self._lChildren = []
self.sName = sName
def __repr__(self):
return "<Node '{}'>".format(self.sName)
def append(self,*args,**kwargs):
self._lChildren.append(*args,**kwargs)
def print_all_1(self):
print self
for oChild in self._lChildren:
oChild.print_all_1()
def print_all_2(self):
def gen(o):
lAll = [o,]
while lAll:
oNext = lAll.pop(0)
lAll.extend(oNext._lChildren)
yield oNext
for oNode in gen(self):
print oNode
oRoot = Node("root")
oChild1 = Node("child1")
oChild2 = Node("child2")
oChild3 = Node("child3")
oChild4 = Node("child4")
oChild5 = Node("child5")
oChild6 = Node("child6")
oChild7 = Node("child7")
oChild8 = Node("child8")
oChild9 = Node("child9")
oChild10 = Node("child10")
oRoot.append(oChild1)
oRoot.append(oChild2)
oRoot.append(oChild3)
oChild1.append(oChild4)
oChild1.append(oChild5)
oChild2.append(oChild6)
oChild4.append(oChild7)
oChild3.append(oChild8)
oChild3.append(oChild9)
oChild6.append(oChild10)
# 说明下面代码的输出结果
oRoot.print_all_1()
oRoot.print_all_2()
答案
oRoot.print_all_1()会打印下面的结果：
<Node 'root'>
<Node 'child1'>
<Node 'child4'>
<Node 'child7'>
<Node 'child5'>
<Node 'child2'>
<Node 'child6'>
<Node 'child10'>
<Node 'child3'>
<Node 'child8'>
<Node 'child9'>
oRoot.print_all_1()会打印下面的结果：
<Node 'root'>
<Node 'child1'>
<Node 'child2'>
<Node 'child3'>
<Node 'child4'>
<Node 'child5'>
<Node 'child6'>
<Node 'child8'>
<Node 'child9'>
<Node 'child7'>
<Node 'child10'>
为什么提这个问题？
因为对象的精髓就在于组合（composition）与对象构造（object construction）。对象需要有组合成分构成，而且得以某种方式初始化。这里也涉及到递归和生成器（generator）的使用。
生成器是很棒的数据类型。你可以只通过构造一个很长的列表，然后打印列表的内容，就可以取得与print_all_2类似的功能。生成器还有一个好处，就是不用占据很多内存。
有一点还值得指出，就是print_all_1会以深度优先（depth-first）的方式遍历树(tree),而print_all_2则是宽度优先（width-first）。有时候，一种遍历方式比另一种更合适。但这要看你的应用的具体情况。
正则之零宽断言
# 零宽断言，举例， (?=),(?<=),(?!),(?<!)
import re
s = 'abc123ebo456'
# re.findall(r'[a-z]+(?=d+)',s) # ['abc', 'ebo'] 先行零宽断言 后面是 数字，findall 取出 字母部分
# re.findall(r'(?<=[a-z])d+',s) # ['123', '456'] 后发零宽断言 前面是 字母， findall 取出 d+ 部分
# re.findall(r'[a-z]+(?!c)',s) # ['abc', 'ebo']负向零宽先行断言 后面不是 c 这个 c 随便取的，可以为 a只要不是数字
# re.findall(r'(?<!d)d+',s) # 负向零宽后发断言 ['123', '456']
正则之 命名分组
比如要匹配2个同样的字符
'(w)1'，1是对(w)的引用。
这样有个弊端，就是分组很多，而且有嵌套的时候，很难分清
引用的是哪个分组。
用命名分组就直观多了。
'(?P<word>w)(?P=word)'
import re
s = 'abc1334oioj33435lljlj45'
re.findall(r'(?P<repeatdigit>d+).*?(?P=repeatdigit)',s) # ['334', '5']
正则之不捕获分组
import re
s = 'abc'
re.findall(r'(?:a)(.*)',s) # ['bc']
优雅点写锁
lock = threading.Lock()
with lock:
print('Citical part...do something...')
缓存函数
# -*- coding: utf-8 -*-
def func_cache(func):
cache = {}
def inner_deco(*args):
if args in cache:
print('func {} is already cached with arguments {}'.format(
func.__name__, args))
return cache[args]
else:
print('func {} is not cached with arguments {}'.format(
func.__name__, args))
res = func(*args)
cache[args] = res
return res
return inner_deco
@func_cache
def add_two_number(a, b):
return a + b
if __name__ == "__main__":
print('1. add_two_number(1, 2)')
add_two_number(1, 2)
print('2. add_two_number(2, 3)')
add_two_number(2, 3)
print('3. add_two_number(1, 2)')
add_two_number(1, 2)
import re
from collections import Counter
words_list = []
with open('/home/ml/work/notebook/Frank Li/words.txt','r') as fr:
for line in fr:
words_array = line.strip().split(" ")
for w in words_array:
words_list.append(w)
words_list.remove('')
Counter(words_list)
{w:words_list.count(w) for w in words_list}
>>> from collections import Counter
>>> list_1 = [1,2,3,1,2,4,5,6,7,4,8,9]
>>> [key for key,cnt in Counter(list_1).items() if cnt>1]
[1, 2, 4]
import re
from collections import Counter
words_list = []
with open('/home/ml/work/notebook/Frank Li/words.txt','r') as fr:
for line in fr:
words_array = line.strip().split(" ")
words_list.extend(words_array)
# for w in words_array:
# words_list.append(w)
def flattern(words_lst):
for lst in words_lst:
if isinstance(lst,list):
tmp = flattern(lst)
for i in tmp:
yield i
else:
yield lst
words_list = list(flattern(words_list))
words_list.remove('')
Counter(words_list)
{w:words_list.count(w) for w in words_list}
BaseException
+-- SystemExit
+-- KeyboardInterrupt
+-- GeneratorExit
+-- Exception
+-- StopIteration
+-- StandardError
| +-- BufferError
| +-- ArithmeticError
| | +-- FloatingPointError
| | +-- OverflowError
| | +-- ZeroDivisionError
| +-- AssertionError
| +-- AttributeError
| +-- EnvironmentError
| | +-- IOError
| | +-- OSError
| | +-- WindowsError (Windows)
| | +-- VMSError (VMS)
| +-- EOFError
| +-- ImportError
| +-- LookupError
| | +-- IndexError
| | +-- KeyError
| +-- MemoryError
| +-- NameError
| | +-- UnboundLocalError
| +-- ReferenceError
| +-- RuntimeError
| | +-- NotImplementedError
| +-- SyntaxError
| | +-- IndentationError
| | +-- TabError
| +-- SystemError
| +-- TypeError
| +-- ValueError
| +-- UnicodeError
| +-- UnicodeDecodeError
| +-- UnicodeEncodeError
| +-- UnicodeTranslateError
+-- Warning
+-- DeprecationWarning
+-- PendingDeprecationWarning
+-- RuntimeWarning
+-- SyntaxWarning
+-- UserWarning
+-- FutureWarning
+-- ImportWarning
+-- UnicodeWarning
+-- BytesWarning
样板代码
# -*- coding: utf-8 -*-
"""
requests.api
~~~~~~~~~~~~
This module implements the Requests API.
:copyright: (c) 2012 by Kenneth Reitz.
:license: Apache2, see LICENSE for more details.
"""
from . import sessions
def request(method, url, **kwargs):
"""Constructs and sends a :class:`Request <Request>`.
:param method: method for the new :class:`Request` object.
:param url: URL for the new :class:`Request` object.
:param params: (optional) Dictionary, list of tuples or bytes to send
in the body of the :class:`Request`.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`.
:param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`.
:param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`.
:param files: (optional) Dictionary of ``'name': file-like-objects`` (or ``{'name': file-tuple}``) for multipart encoding upload.
``file-tuple`` can be a 2-tuple ``('filename', fileobj)``, 3-tuple ``('filename', fileobj, 'content_type')``
or a 4-tuple ``('filename', fileobj, 'content_type', custom_headers)``, where ``'content-type'`` is a string
defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers
to add for the file.
:param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth.
:param timeout: (optional) How many seconds to wait for the server to send data
before giving up, as a float, or a :ref:`(connect timeout, read
timeout) <timeouts>` tuple.
:type timeout: float or tuple
:param allow_redirects: (optional) Boolean. Enable/disable GET/OPTIONS/POST/PUT/PATCH/DELETE/HEAD redirection. Defaults to ``True``.
:type allow_redirects: bool
:param proxies: (optional) Dictionary mapping protocol to the URL of the proxy.
:param verify: (optional) Either a boolean, in which case it controls whether we verify
the server's TLS certificate, or a string, in which case it must be a path
to a CA bundle to use. Defaults to ``True``.
:param stream: (optional) if ``False``, the response content will be immediately downloaded.
:param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, ('cert', 'key') pair.
:return: :class:`Response <Response>` object
:rtype: requests.Response
Usage::
>>> import requests
>>> req = requests.request('GET', 'http://httpbin.org/get')
<Response [200]>
"""
# By using the 'with' statement we are sure the session is closed, thus we
# avoid leaving sockets open which can trigger a ResourceWarning in some
# cases, and look like a memory leak in others.
with sessions.Session() as session:
return session.request(method=method, url=url, **kwargs)
def get(url, params=None, **kwargs):
r"""Sends a GET request.
:param url: URL for the new :class:`Request` object.
:param params: (optional) Dictionary, list of tuples or bytes to send
in the body of the :class:`Request`.
:param **kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
kwargs.setdefault('allow_redirects', True)
return request('get', url, params=params, **kwargs)
def options(url, **kwargs):
r"""Sends an OPTIONS request.
:param url: URL for the new :class:`Request` object.
:param **kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
kwargs.setdefault('allow_redirects', True)
return request('options', url, **kwargs)
def head(url, **kwargs):
r"""Sends a HEAD request.
:param url: URL for the new :class:`Request` object.
:param **kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
kwargs.setdefault('allow_redirects', False)
return request('head', url, **kwargs)
def post(url, data=None, json=None, **kwargs):
r"""Sends a POST request.
:param url: URL for the new :class:`Request` object.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) json data to send in the body of the :class:`Request`.
:param **kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request('post', url, data=data, json=json, **kwargs)
def put(url, data=None, **kwargs):
r"""Sends a PUT request.
:param url: URL for the new :class:`Request` object.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) json data to send in the body of the :class:`Request`.
:param **kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request('put', url, data=data, **kwargs)
def patch(url, data=None, **kwargs):
r"""Sends a PATCH request.
:param url: URL for the new :class:`Request` object.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) json data to send in the body of the :class:`Request`.
:param **kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request('patch', url, data=data, **kwargs)
def delete(url, **kwargs):
r"""Sends a DELETE request.
:param url: URL for the new :class:`Request` object.
:param **kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request('delete', url, **kwargs)