Finish sections 2 and 3

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Geoff Liu 2014-10-31 17:20:50 -06:00
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@ -9,13 +9,13 @@ translators:
filename: learnpython3.py
---
Python was created by Guido Van Rossum in the early 90's. It is now one of the most popular
languages in existence. I fell in love with Python for its syntactic clarity. It's basically
executable pseudocode.
Python是由吉多·范罗苏姆(Guido Van Rossum)在90年代早期设计。它是如今最常用的编程
语言之一。它的语法简洁且优美,几乎就是可执行的伪代码。
Feedback would be highly appreciated! You can reach me at [@louiedinh](http://twitter.com/louiedinh) or louiedinh [at] [google's email service]
欢迎大家斧正。英文版原作Louie Dinh [@louiedinh](http://twitter.com/louiedinh)
或着Email louiedinh [at] [谷歌的信箱服务]。中文翻译Geoff Liu。
Note: This article applies to Python 3 specifically. Check out the other tutorial if you want to learn the old Python 2.7
注意这篇教程是特别为Python3写的。如果你想学旧版Python2我们特别有另一篇教程。
```python
@ -128,7 +128,7 @@ None # => None
"etc" is None # => False
None is None # => True
# None0空字符串空列表关联数组都算是False
# None0空字符串空列表字典都算是False
# 所有其他值都是True
bool(0) # => False
bool("") # => False
@ -176,7 +176,6 @@ li[-1] # => 3
li[4] # 抛出IndexError
# 列表有切割语法
# (It's a closed/open range for you mathy types.)
li[1:3] # => [2, 4]
# 取尾
li[2:] # => [4, 3]
@ -196,103 +195,101 @@ del li[2] # li is now [1, 2, 3]
# 注意li和other_li的值都不变
li + other_li # => [1, 2, 3, 4, 5, 6]
# Concatenate lists with "extend()"
li.extend(other_li) # Now li is [1, 2, 3, 4, 5, 6]
# 用extend拼接列表
li.extend(other_li) # li现在是[1, 2, 3, 4, 5, 6]
# Check for existence in a list with "in"
# 用in测试列表是否包含值
1 in li # => True
# Examine the length with "len()"
# 用len取列表长度
len(li) # => 6
# Tuples are like lists but are immutable.
# 元组是不可改变的序列
tup = (1, 2, 3)
tup[0] # => 1
tup[0] = 3 # Raises a TypeError
tup[0] = 3 # 抛出TypeError
# 列表允许的操作元组可以
# 列表允许的操作元组大都可以
len(tup) # => 3
tup + (4, 5, 6) # => (1, 2, 3, 4, 5, 6)
tup[:2] # => (1, 2)
2 in tup # => True
# You can unpack tuples (or lists) into variables
a, b, c = (1, 2, 3) # a is now 1, b is now 2 and c is now 3
# Tuples are created by default if you leave out the parentheses
# 可以把元组合列表解包,赋值给变量
a, b, c = (1, 2, 3) # 现在a是1b是2c是3
# 元组周围的括号是可以省略的
d, e, f = 4, 5, 6
# Now look how easy it is to swap two values
e, d = d, e # d is now 5 and e is now 4
# 交换两个变量的值就这么简单
e, d = d, e # 现在d是5e是4
# Dictionaries store mappings
# 用字典表达映射关系
empty_dict = {}
# Here is a prefilled dictionary
# 初始化的字典
filled_dict = {"one": 1, "two": 2, "three": 3}
# Look up values with []
# 用[]取值
filled_dict["one"] # => 1
# Get all keys as a list with "keys()".
# We need to wrap the call in list() because we are getting back an iterable. We'll talk about those later.
# Note - Dictionary key ordering is not guaranteed.
# Your results might not match this exactly.
# 用keys获得所有的键。因为keys返回一个可迭代对象所以在这里把结果包在list里。我们下面会详细介绍可迭代。
# 注意:字典键的顺序是不定的,你得到的结果可能和以下不同。
list(filled_dict.keys()) # => ["three", "two", "one"]
# Get all values as a list with "values()". Once again we need to wrap it in list() to get it out of the iterable.
# Note - Same as above regarding key ordering.
# 用values获得所有的值。跟keys一样要用list包起来顺序也可能不同。
list(filled_dict.values()) # => [3, 2, 1]
# Check for existence of keys in a dictionary with "in"
# 用in测试一个字典是否包含一个键
"one" in filled_dict # => True
1 in filled_dict # => False
# Looking up a non-existing key is a KeyError
# 访问不存在的键会导致KeyError
filled_dict["four"] # KeyError
# Use "get()" method to avoid the KeyError
# 用get来避免KeyError
filled_dict.get("one") # => 1
filled_dict.get("four") # => None
# The get method supports a default argument when the value is missing
# 当键不存在的时候get方法可以返回默认值
filled_dict.get("one", 4) # => 1
filled_dict.get("four", 4) # => 4
# "setdefault()" inserts into a dictionary only if the given key isn't present
filled_dict.setdefault("five", 5) # filled_dict["five"] is set to 5
filled_dict.setdefault("five", 6) # filled_dict["five"] is still 5
# setdefault方法只有当键不存在的时候插入新值
filled_dict.setdefault("five", 5) # filled_dict["five"]设为5
filled_dict.setdefault("five", 6) # filled_dict["five"]还是5
# Adding to a dictionary
# 字典赋值
filled_dict.update({"four":4}) #=> {"one": 1, "two": 2, "three": 3, "four": 4}
#filled_dict["four"] = 4 #another way to add to dict
filled_dict["four"] = 4 # 另一种赋值方法
# Remove keys from a dictionary with del
del filled_dict["one"] # Removes the key "one" from filled dict
# 用del删除
del filled_dict["one"] # 从filled_dict中把one删除
# Sets store ... well sets
# 用set表达集合
empty_set = set()
# Initialize a set with a bunch of values. Yeah, it looks a bit like a dict. Sorry.
some_set = {1, 1, 2, 2, 3, 4} # some_set is now {1, 2, 3, 4}
# 初始化一个集合,语法跟字典相似。
some_set = {1, 1, 2, 2, 3, 4} # some_set现在是{1, 2, 3, 4}
#Can set new variables to a set
# 可以把集合赋值于变量
filled_set = some_set
# Add one more item to the set
filled_set.add(5) # filled_set is now {1, 2, 3, 4, 5}
# 为集合添加元素
filled_set.add(5) # filled_set现在是{1, 2, 3, 4, 5}
# Do set intersection with &
# & 取交集
other_set = {3, 4, 5, 6}
filled_set & other_set # => {3, 4, 5}
# Do set union with |
# | 取并集
filled_set | other_set # => {1, 2, 3, 4, 5, 6}
# Do set difference with -
# - 取补集
{1, 2, 3, 4} - {2, 3, 5} # => {1, 4}
# Check for existence in a set with in
# in 测试集合是否包含元素
2 in filled_set # => True
10 in filled_set # => False
@ -315,20 +312,18 @@ else: # else也是可选的
"""
For loops iterate over lists
prints:
用for循环语句遍历列表
打印:
dog is a mammal
cat is a mammal
mouse is a mammal
"""
for animal in ["dog", "cat", "mouse"]:
# You can use format() to interpolate formatted strings
print("{} is a mammal".format(animal))
"""
"range(number)" returns a list of numbers
from zero to the given number
prints:
"range(number)"返回数字列表从0到给的数字
打印:
0
1
2
@ -338,8 +333,8 @@ for i in range(4):
print(i)
"""
While loops go until a condition is no longer met.
prints:
while循环直到条件不满足
打印:
0
1
2
@ -348,49 +343,49 @@ prints:
x = 0
while x < 4:
print(x)
x += 1 # Shorthand for x = x + 1
x += 1 # x = x + 1 的简写
# Handle exceptions with a try/except block
# try/except块处理异常状况
try:
# Use "raise" to raise an error
# 用raise来抛出异常
raise IndexError("This is an index error")
except IndexError as e:
pass # Pass is just a no-op. Usually you would do recovery here.
pass # pass是无操作但是应该在这里处理错误
except (TypeError, NameError):
pass # Multiple exceptions can be handled together, if required.
else: # Optional clause to the try/except block. Must follow all except blocks
print("All good!") # Runs only if the code in try raises no exceptions
pass # 可以同时处理不同类的错误
else: # else语句是可选的必须在所有的except之后
print("All good!") # 只有当try运行完没有错误的时候这句才会运行
# Python offers a fundamental abstraction called the Iterable.
# An iterable is an object that can be treated as a sequence.
# The object returned the range function, is an iterable.
# Python提供一个叫做可迭代(iterable)的基本抽象。一个可迭代对象是可以被当作序列
# 的对象。比如说上面range返回的对象就是可迭代的。
filled_dict = {"one": 1, "two": 2, "three": 3}
our_iterable = filled_dict.keys()
print(our_iterable) #=> range(1,10). This is an object that implements our Iterable interface
print(our_iterable) # => range(1,10) 是一个实现可迭代接口的对象
# We can loop over it.
# 可迭代对象可以遍历
for i in our_iterable:
print(i) # Prints one, two, three
print(i) # 打印 one, two, three
# However we cannot address elements by index.
our_iterable[1] # Raises a TypeError
# 但是不可以随机访问
our_iterable[1] # 抛出TypeError
# An iterable is an object that knows how to create an iterator.
# 可迭代对象知道怎么生成迭代器
our_iterator = iter(our_iterable)
# Our iterator is an object that can remember the state as we traverse through it.
# We get the next object by calling the __next__ function.
# 迭代器是一个可以记住遍历的位置的对象
# 用__next__可以取得下一个元素
our_iterator.__next__() #=> "one"
# It maintains state as we call __next__.
# 再一次调取__next__时会记得位置
our_iterator.__next__() #=> "two"
our_iterator.__next__() #=> "three"
# After the iterator has returned all of its data, it gives you a StopIterator Exception
our_iterator.__next__() # Raises StopIteration
# 当迭代器所有元素都取出后会抛出StopIteration
our_iterator.__next__() # 抛出StopIteration
# You can grab all the elements of an iterator by calling list() on it.
# 可以用list一次取出迭代器所有的元素
list(filled_dict.keys()) #=> Returns ["one", "two", "three"]