Python基础视频学习笔记之（一）

这篇博文是我看了“中谷教育-Python视频教程”的一个笔记，记录的是一些Python的学习基础，整理到这里，一是总结，二是备查。

目录

一、安装、编译与运行

二、变量、运算与表达式

三、数据类型

1、数字

2、字符串

3、元组

4、列表

5、字典

四、流程控制

1、if-else

2、for

3、while

4、switch

五、函数

1、自定义函数

2、Lambda函数

3、Python内置函数

六、包与模块

1、模块module

2、包package

七、正则表达式

1、元字符

2、常用函数

3、分组

4、一个小实例-爬虫

八、深拷贝与浅拷贝

九、文件与目录

1、文件读写

2、OS模块

3、目录遍历

十、异常处理

一、安装、编译与运行

Python的安装很容易，直接到官网：http://www.python.org/下载安装就可以了。Ubuntu一般都预安装了。没有的话，就可以#apt-get install python。Windows的话直接下载msi包安装即可。Python
程序是通过解释器执行的，所以安装后，可以看到Python提供了两个解析器，一个是IDLE (Python GUI)，一个是Python (command line)。前者是一个带GUI界面的版本，后者实际上和在命令提示符下运行python是一样的。运行解释器后，就会有一个命令提示符>>>，在提示符后键入你的程序语句，键入的语句将会立即执行。就像Matlab一样。

另外，Matlab有.m的脚步文件，python也有.py后缀的脚本文件，这个文件除了可以解释执行外，还可以编译运行，编译后运行速度要比解释运行要快。

例如，我要打印一个helloWorld。

方法1：直接在解释器中，>>> print ‘helloWorld’。

方法2：将这句代码写到一个文件中，例如hello.py。运行这个文件有三种方式：

1）在终端中：python hello.py

2）先编译成.pyc文件：

import py_compile

py_compile.compile("hello.py")

再在终端中：python hello.pyc

3）在终端中：

python -O -m py_compile hello.py

python hello.pyo

编译成.pyc和.pyo文件后，执行的速度会更快。所以一般一些重复性并多次调用的代码会被编译成这两种可执行的方式来待调用。

二、变量、运算与表达式

这里没什么好说的，有其他语言的编程基础的话都没什么问题。和Matlab的相似度比较大。这块差别不是很大。具体如下：



需要注意的一个是：5/2 等于2，5.0/2才等于2.5。

### compute #######
# raw_input() get input from keyboard to string type
# So we should transfer to int type
# Some new support computing type:
# and or not in is < <= != == | ^ & << + - / % ~ **
print 'Please input a number:'
number = int(raw_input())
number += 1
print number**2 # ** means ^
print number and 1
print number or 1
print not number
5/2 # is 2
5.0/2 # is 2.5, should be noted

三、数据类型

1、数字

通常的int, long,float,long等等都被支持。而且会看你的具体数字来定义变量的类型。如下：

### type of value #######
# int, long, float
# do not need to define the type of value, python will
# do this according to your value
num = 1   # stored as int type
num = 1111111111111   # stored as long int type
num = 1.0   # stored as float type
num = 12L # L stands for long type
num = 1 + 12j # j stands for complex type
num = '1' # string type

2、字符串

单引号，双引号和三引号都可以用来定义字符串。三引号可以定义特别格式的字符串。字符串作为一种序列类型，支持像Matlab一样的索引访问和切片访问。

### type of string #######
num = "1" # string type
num = "Let's go" # string type
num = "He's \"old\"" # string type
mail = "Xiaoyi: \n hello \n I am you!"
mail = """Xiaoyi:
hello
I am you!
""" # special string format
string = 'xiaoyi' # get value by index
copy = string[0] + string[1] + string[2:6] # note: [2:6] means [2 5] or[2 6)
copy = string[:4] # start from 1
copy = string[2:] # to end
copy = string[::1] # step is 1, from start to end
copy = string[::2] # step is 2
copy = string[-1] # means 'i', the last one
copy = string[-4:-2:-1] # means 'yoa', -1 step controls direction
memAddr = id(num) # id(num) get the memory address of num
type(num) # get the type of num

3、元组

元组tuple用()来定义。相当于一个可以存储不同类型数据的一个数组。可以用索引来访问，但需要注意的一点是，里面的元素不能被修改。

### sequence type #######
## can access the elements by index or slice
## include: string, tuple(or array? structure? cell?), list
# basis operation of sequence type
firstName = 'Zou'
lastName = 'Xiaoyi'
len(string) # the length
name = firstName + lastName # concatenate 2 string
firstName * 3 # repeat firstName 3 times
'Z' in firstName # check contain or not, return true
string = '123'
max(string)
min(string)
cmp(firstName, lastName) # return 1, -1 or 0

## tuple(or array? structure? cell?)
## define this type using ()
user = ("xiaoyi", 25, "male")
name = user[0]
age = user[1]
gender = user[2]
t1 = () # empty tuple
t2 = (2, ) # when tuple has only one element, we should add a extra comma
user[1] = 26 # error!! the elements can not be changed
name, age, gender = user # can get three element respectively
a, b, c = (1, 2, 3)

4、列表

列表list用[]来定义。它和元组的功能一样，不同的一点是，里面的元素可以修改。List是一个类，支持很多该类定义的方法，这些方法可以用来对list进行操作。

## list type (the elements can be modified)
## define this type using []
userList = ["xiaoyi", 25, "male"]
name = userList[0]
age = userList[1]
gender = userList[2]
userList[3] = 88888 # error! access out of range, this is different with Matlab
userList.append(8888) # add new elements
"male" in userList # search
userList[2] = 'female' # can modify the element (the memory address not change)
userList.remove(8888) # remove element
userList.remove(userList[2]) # remove element
del(userList[1]) # use system operation api
## help(list.append)

################################
######## object and class ######
## object = property + method
## python treats anything as class, here the list type is a class,
## when we define a list "userList", so we got a object, and we use
## its method to operate the elements

5、字典

字典dictionary用{}来定义。它的优点是定义像key-value这种键值对的结构，就像struct结构体的功能一样。它也支持字典类支持的方法进行创建和操作。

######## dictionary type ######
## define this type using {}
item = ['name', 'age', 'gender']
value = ['xiaoyi', '25', 'male']
zip(item, value) # zip() will produce a new list:
# [('name', 'xiaoyi'), ('age', '25'), ('gender', 'male')]
# but we can not define their corresponding relationship
# and we can define this relationship use dictionary type
# This can be defined as a key-value manner
# dic = {key1: value1, key2: value2, ...}, key and value can be any type
dic = {'name': 'xiaoyi', 'age': 25, 'gender': 'male'}
dic = {1: 'zou', 'age':25, 'gender': 'male'}
# and we access it like this: dic[key1], the key as a index
print dic['name']
print dic[1]
# another methods create dictionary
fdict = dict(['x', 1], ['y', 2]) # factory mode
ddict = {}.fromkeys(('x', 'y'), -1) # built-in mode, default value is the same which is none
# access by for circle
for key in dic
print key
print dic[key]

# add key or elements to dictionary, because dictionary is out of sequence,
# so we can directly and a key-value pair like this:
dic['tel'] = 88888
# update or delete the elements
del dic[1] # delete this key
dic.pop('tel') # show and delete this key
dic.clear() # clear the dictionary
del dic # delete the dictionary
dic.get(1) # get the value of key
dic.get(1, 'error') # return a user-define message if the dictionary do not contain the key
dic.keys()
dic.values()
dic.has_key(key)
# dictionary has many operations, please use help to check out

四、流程控制

在这块，Python与其它大多数语言有个非常不同的地方，Python语言使用缩进块来表示程序逻辑（其它大多数语言使用大括号等）。例如：

if age < 21:

print("你不能买酒。")

print("不过你能买口香糖。")

print("这句话处于if语句块的外面。")

这个代码相当于c语言的：

if (age < 21)

{

print("你不能买酒。")

print("不过你能买口香糖。")

}

print("这句话处于if语句块的外面。")

可以看到，Python语言利用缩进表示语句块的开始和退出（Off-side规则），而非使用花括号或者某种关键字。增加缩进表示语句块的开始（注意前面有个:号），而减少缩进则表示语句块的退出。根据PEP的规定，必须使用4个空格来表示每级缩进（不清楚4个空格的规定如何，在实际编写中可以自定义空格数，但是要满足每级缩进间空格数相等）。使用Tab字符和其它数目的空格虽然都可以编译通过，但不符合编码规范。

为了使我们自己编写的程序能很好的兼容别人的程序，我们最好还是按规范来，用四个空格来缩减（注意，要么都是空格，要是么都制表符，千万别混用）。

1、if-else

If-else用来判断一些条件，以执行满足某种条件的代码。

######## procedure control #####
## if else
if expression: # bool type and do not forget the colon
statement(s) # use four space key

if expression:
statement(s) # error!!!! should use four space key

if 1<2:
print 'ok, ' # use four space key
print 'yeah' # use the same number of space key

if True: # true should be big letter True
print 'true'

def fun():
return 1

if fun():
print 'ok'
else:
print 'no'

con = int(raw_input('please input a number:'))
if con < 2:
print 'small'
elif con > 3:
print 'big'
else:
print 'middle'

if 1 < 2:
if 2 < 3:
print 'yeah'
else:
print 'no'
print 'out'
else:
print 'bad'

if 1<2 and 2<3 or 2 < 4 not 0: # and, or, not
print 'yeah'

2、for

for的作用是循环执行某段代码。还可以用来遍历我们上面所提到的序列类型的变量。

######## procedure control #####
## for
for iterating_val in sequence:
statements(s)
# sequence type can be string, tuple or list

for i in "abcd":
print i

for i in [1, 2, 3, 4]:
print i

# range(start, end, step), if not set step, default is 1,
# if not set start, default is 0, should be noted that it is [start, end), not [start, end]
range(5) # [0, 1, 2, 3, 4]
range(1, 5) # [1, 2, 3, 4]
range(1, 10, 2) # [1, 3, 5, 7, 9]
for i in range(1, 100, 1):
print i

# ergodic for basis sequence
fruits = ['apple', 'banana', 'mango']
for fruit in range(len(fruits)):
print 'current fruit: ', fruits[fruit]

# ergodic for dictionary
dic = {1: 111, 2: 222, 5: 555}
for x in dic:
print x, ': ', dic[x]

dic.items() # return [(1, 111), (2, 222), (5, 555)]
for key,value in dic.items(): # because we can: a,b=[1,2]
print key, ': ', value
else:
print 'ending'

################################
import time
# we also can use: break, continue to control process
for x in range(1, 11):
print x
time.sleep(1) # sleep 1s
if x == 3:
pass # do nothing
if x == 2:
continue
if x == 6:
break
if x == 7:
exit() # exit the whole program
print '#'*50

3、while

while的用途也是循环。它首先检查在它后边的循环条件，若条件表达式为真，它就执行冒号后面的语句块，然后再次测试循环条件，直至为假。冒号后面的缩近语句块为循环体。

######## procedure control #####

## while

while expression:

statement(s)

while True:

print 'hello'

x = raw_input('please input something, q for quit:')

if x == 'q':

break

else:

print 'ending'

4、switch

其实Python并没有提供switch结构，但我们可以通过字典和函数轻松的进行构造。例如：

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#############################

## switch ####

## this structure do not support by python

## but we can implement it by using dictionary and function

## cal.py ##

#!/usr/local/python

from __future__ import division

# if used this, 5/2=2.5, 6/2=3.0

def add(x, y):

return x + y

def sub(x, y):

return x - y

def mul(x, y):

return x * y

def div(x, y):

return x / y

operator = {"+": add, "-": sub, "*": mul, "/": div}

operator["+"](1, 2) # the same as add(1, 2)

operator["%"](1, 2) # error, not have key "%", but the below will not

operator.get("+")(1, 2) # the same as add(1, 2)

def cal(x, o, y):

print operator.get(o)(x, y)

cal(2, "+", 3)

# this method will effect than if-else

五、函数

1、自定义函数

在Python中，使用def语句来创建函数：

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################################

######## function #####

def functionName(parameters): # no parameters is ok

bodyOfFunction

def add(a, b):

return a+b # if we do not use a return, any defined function will return default None

a = 100

b = 200

sum = add(a, b)

##### function.py #####

#!/usr/bin/python

#coding:utf8 # support chinese

def add(a = 1, b = 2): # default parameters

return a+b # can return any type of data

# the followings are all ok

add()

add(2)

add(y = 1)

add(3, 4)

###### the global and local value #####

## global value: defined outside any function, and can be used

## in anywhere, even in functions, this should be noted

## local value: defined inside a function, and can only be used

## in its own function

## the local value will cover the global if they have the same name

val = 100 # global value

def fun():

print val # here will access the val = 100

print val # here will access the val = 100, too

def fun():

a = 100 # local value

print a

print a # here can not access the a = 100

def fun():

global a = 100 # declare as a global value

print a

print a # here can not access the a = 100, because fun() not be called yet

fun()

print a # here can access the a = 100

############################

## other types of parameters

def fun(x):

print x

# the follows are all ok

fun(10) # int

fun('hello') # string

fun(('x', 2, 3)) # tuple

fun([1, 2, 3]) # list

fun({1: 1, 2: 2}) # dictionary

## tuple

def fun(x, y):

print "%s : %s" % (x,y) # %s stands for string

fun('Zou', 'xiaoyi')

tu = ('Zou', 'xiaoyi')

fun(*tu) # can transfer tuple parameter like this

## dictionary

def fun(name = "name", age = 0):

print "name: %s" % name

print "age: " % age

dic = {name: "xiaoyi", age: 25} # the keys of dictionary should be same as fun()

fun(**dic) # can transfer dictionary parameter like this

fun(age = 25, name = 'xiaoyi') # the result is the same

## the advantage of dictionary is can specify value name

#############################

## redundancy parameters ####

## the tuple

def fun(x, *args): # the extra parameters will stored in args as tuple type

print x

print args

# the follows are ok

fun(10)

fun(10, 12, 24) # x = 10, args = (12, 24)

## the dictionary

def fun(x, **args): # the extra parameters will stored in args as dictionary type

print x

print args

# the follows are ok

fun(10)

fun(x = 10, y = 12, z = 15) # x = 10, args = {'y': 12, 'z': 15}

# mix of tuple and dictionary

def fun(x, *args, **kwargs):

print x

print args

print kwargs

fun(1, 2, 3, 4, y = 10, z = 12) # x = 1, args = (2, 3, 4), kwargs = {'y': 10, 'z': 12}

2、Lambda函数

Lambda函数用来定义一个单行的函数，其便利在于：

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#############################

## lambda function ####

## define a fast single line function

fun = lambda x,y : x*y # fun is a object of function class

fun(2, 3)

# like

def fun(x, y):

return x*y

## recursion

# 5=5*4*3*2*1, n!

def recursion(n):

if n > 0:

return n * recursion(n-1) ## wrong

def mul(x, y):

return x * y

numList = range(1, 5)

reduce(mul, numList) # 5! = 120

reduce(lambda x,y : x*y, numList) # 5! = 120, the advantage of lambda function avoid defining a function

### list expression

numList = [1, 2, 6, 7]

filter(lambda x : x % 2 == 0, numList)

print [x for x in numList if x % 2 == 0] # the same as above

map(lambda x : x * 2 + 10, numList)

print [x * 2 + 10 for x in numList] # the same as above

3、Python内置函数

Python内置了很多函数，他们都是一个个的.py文件，在python的安装目录可以找到。弄清它有那些函数，对我们的高效编程非常有用。这样就可以避免重复的劳动了。下面也只是列出一些常用的：

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###################################

## built-in function of python ####

## if do not how to use, please use help()

abs, max, min, len, divmod, pow, round, callable,

isinstance, cmp, range, xrange, type, id, int()

list(), tuple(), hex(), oct(), chr(), ord(), long()

callable # test a function whether can be called or not, if can, return true

# or test a function is exit or not

isinstance # test type

numList = [1, 2]

if type(numList) == type([]):

print "It is a list"

if isinstance(numList, list): # the same as above, return true

print "It is a list"

for i in range(1, 10001) # will create a 10000 list, and cost memory

for i in xrange(1, 10001)# do not create such a list, no memory is cost

## some basic functions about string

str = 'hello world'

str.capitalize() # 'Hello World', first letter transfer to big

str.replace("hello", "good") # 'good world'

ip = "192.168.1.123"

ip.split('.') # return ['192', '168', '1', '123']

help(str.split)

import string

str = 'hello world'

string.replace(str, "hello", "good") # 'good world'

## some basic functions about sequence

len, max, min

# filter(function or none, sequence)

def fun(x):

if x > 5:

return True

numList = [1, 2, 6, 7]

filter(fun, numList) # get [6, 7], if fun return True, retain the element, otherwise delete it

filter(lambda x : x % 2 == 0, numList)

# zip()

name = ["me", "you"]

age = [25, 26]

tel = ["123", "234"]

zip(name, age, tel) # return a list: [('me', 25, '123'), ('you', 26, '234')]

# map()

map(None, name, age, tel) # also return a list: [('me', 25, '123'), ('you', 26, '234')]

test = ["hello1", "hello2", "hello3"]

zip(name, age, tel, test) # return [('me', 25, '123', 'hello1'), ('you', 26, '234', 'hello2')]

map(None, name, age, tel, test) # return [('me', 25, '123', 'hello1'), ('you', 26, '234', 'hello2'), (None, None, None, 'hello3')]

a = [1, 3, 5]

b = [2, 4, 6]

def mul(x, y):

return x*y

map(mul, a, b) # return [2, 12, 30]

# reduce()

reduce(lambda x, y: x+y, [1, 2, 3, 4, 5]) # return ((((1+2)+3)+4)+5)