target = open('serial.txt','r')
myObj = pickle.load(target)
print serialized_obj
print myObj
#output
# (lp0
# S'hello'
# p1
# aI42
# a(lp2
# I1
# aS'two'
# p3
# aaS'apple'
# p4
# a.
# ['hello', 42, [1, 'two'], 'apple']
这是一个原生的Python序列化方法。然而近几年来JSON变得流行起来，Python添加了对它的支持。现在你可以使用JSON来编解码。
import json
variable = ['hello', 42, [1,'two'],'apple']
print "Original {0} - {1}".format(variable,type(variable))
# encoding
encode = json.dumps(variable)
print "Encoded {0} - {1}".format(encode,type(encode))
#deccoding
decoded = json.loads(encode)
print "Decoded {0} - {1}".format(decoded,type(decoded))
# output
# Original ['hello', 42, [1, 'two'], 'apple'] - <type 'list'="">
# Encoded ["hello", 42, [1, "two"], "apple"] - <type 'str'="">
# Decoded [u'hello', 42, [1, u'two'], u'apple'] - <type 'list'="">
这样更紧凑，而且最重要的是这样与JavaScript和许多其他语言兼容。然而对于复杂的对象，其中的一些信息可能丢失。
压缩字符
当谈起压缩时我们通常想到文件，比如ZIP结构。在Python中可以压缩长字符，不涉及任何档案文件。
import zlib
string = """ Lorem ipsum dolor sit amet, consectetu
adipiscing elit. Nunc ut elit id mi ultricies
adipiscing. Nulla facilisi. Praesent pulvinar,
sapien vel feugiat vestibulum, nulla dui pretium orci,
non ultricies elit lacus quis ante. Lorem ipsum dolor
sit amet, consectetur adipiscing elit. Aliquam
pretium ullamcorper urna quis iaculis. Etiam ac massa
sed turpis tempor luctus. Curabitur sed nibh eu elit
mollis congue. Praesent ipsum diam, consectetur vitae
ornare a, aliquam a nunc. In id magna pellentesque
tellus posuere adipiscing. Sed non mi metus, at lacinia
augue. Sed magna nisi, ornare in mollis in, mollis
