Python_Crawler_Foundation2_Key points

Python基础复习_Key Points 

 

1. 弱类型:不需要为变量指定类型。(C语言是强类型,必须给变量指定类型。如:int,string等。强类型的好处:方便做语法检查) 

1 a = 1234
2 print(a)
3 a = ‘abcd’
4 print(a)
View Code

#outcomes:

1234
abcd

2. 变量必须先赋值。Python中变量要先赋值再使用。而C语言中,定义一个变量(int i),i是有一个初始值。

3. Python是通过引用传递变量的。引用变量的地址空间。

4. Python2 和Python3的常见差异

  • xrange  在Python2中,xrange主要是解决python循环中的效率问题。与range相比,xrange使用generator来解决空间效率问题。而在python3中,xrange和range的效率是一样的。
  • print      在python2中,无需加括号,但在python3中,要加括号。
  • 数据类型统一,取消unicode和long
  • utf8:python3代码默认utf8

  

1. none是True和False之外的一种状态。可以等价为false。

2. del是从容器里删除对象。

3. python中只有三种操作:与、或、非。没有&&,||等。

4. 函数是没有返回值的,要返回值,需加return

默认参数:

1 def hello(who = 'world'):
2     print('hello %s!' %(who))
3 
4 hello()
5 hello('sea')
View Code

#Outcome:

hello world!
hello sea!

Lambda VS Normal defunction:

1 def g(x):
2     return x*5
3 def f(gf,x):                 # gf has got the memory address of g(x), no matter what it is called.
4     return gf(x)+100    # gf(x) call g(x) and pass the argument x to g(x).
5 print(f(g,100))            # g -> pass the memory address of g(x) to the argument.        
6 print(f(lambda x:x*110,100))   
7 # process: 1. lambda generate a memory address for itself (x*110)
8 #2. call f(g,100) and pass the memory address of lambda to the argument gf.
9 #3. gf(x) call lambda x*110 and pass 100 to x, so the result of lambda equals 11100 
View Code

#Outcome:

600
11100
1 def f(gf,x,y):
2     return gf(x,y)+100
3 print(f(lambda x,y:x*y,100,200))
View Code

#Outcome:

20100

 5. while & for 

1 totoal = 0
2 i = 1
3 while i <= 100:
4     total += i
5     i += 1     #没有++i或者--i
6 print(total)
View Code

#outcome:

5050

for循环只作用用于容器!!

没有这种写法: 

for (i = 0; i<100; ++i)
       pass

 上面这种循环只能用while实现。

1 i = 0
2 while i < 3:
3     j = 0 
4     while j <=3:
5         if j == 2:
6             break / continue       #只退出当前循环,循环继续执行j=3.。。
7         print(i,j)
8         j += 1
9     i +=1
View Code

#outcomes: 

Break:
0    0
0    1
1    0    
1    1
2    0
2    1  
Continue:
0    0
0    1

1. List

   

用lambda对第一元素做排序

切片

2. String

  

 

Mode
‘r’ – Read mode which is used when the file is only being read 
‘w’ – Write mode which is used to edit and write new information to the file (any existing files with the same name will be erased when this mode is activated) 
'b' - 'b' appended to the mode ('rb','rb+','wb','wb+') opens the file in binary mode ‘a’ – Appending mode, which is used to add new data to the end of the file; that is new information is automatically amended to the end ‘r+’ – Special read and write mode, which is used to handle both actions when working with a file

Open a file 

>>> f = open('workfile', 'w')

Open a file with 'with' 

>>> with open('workfile') as f:  #If you’re not using the with keyword, then you should call f.close() to close the file and immediately free up any system resources used by it.
...     read_data = f.read()
>>> f.closed    #If you don’t explicitly close a file, Python’s garbage collector will eventually destroy the object and close the open file for you, but the file may stay open for a while.
#with as equals:
try:
  f = open('workfile','r')
  for line in f.readlines():
    print(line)
except:
  ...
finnally:
  f.close()

Read a file:

>>> f.read()                #Read a whole file.
#Outcome:
'This is the entire file.\n'


>>> f.readline()           #Read a line of the file
#Outcome:
'This is the first line of the file.\n'
>>> f.readline()
#Outcome:
'Second line of the file\n'               


>>> for line in f:          #Read a file line-by-line
...     print(line, end='')
#outcomes:
This is the first line of the file.
Second line of the file

Write a file:

f.write('This is a test\n')

 

 

#错误处理

 1 import logging    #在生产环境中,最有效的调试方式。
 2 
 3 ''' 4 作业,自己实现将不同的等级的信息写到不同日志文件。
 5 logging.info()            
 6 logging.debug()
 7 ''' 8 
 9 try:
10     r=10/0
11 except ZeroDivisionError as e:        #捕捉异常
12     print(type(e))
13     print(e)
14 finally:                #主要是防止服务端资源泄漏!
15     print('always come here.')    

 

 

  

  

 

posted @ 2018-02-01 13:59  tlfox_2006  阅读(222)  评论(0编辑  收藏  举报