Python最大的优点之一就是语法简洁,好的代码就像伪代码一样,干净、整洁、一目了然。要写出 Pythonic(优雅的、地道的、整洁的)代码,需要多看多学大牛们写的代码,github 上有很多非常优秀的源代码值得阅读,比如:requests、flask、tornado,下面列举一些常见的Pythonic写法。
0. 程序必须先让人读懂,然后才能让计算机执行。
“Programs must be written for people to read, and only incidentally for machines to execute.”
1. 交换赋值
##不推荐 temp = a a = b b = a ##推荐 a, b = b, a # 先生成一个元组(tuple)对象,然后unpack
2. Unpacking
##不推荐 l = ['David', 'Pythonista', '+1-514-555-1234'] first_name = l[0] last_name = l[1] phone_number = l[2] ##推荐 l = ['David', 'Pythonista', '+1-514-555-1234'] first_name, last_name, phone_number = l # Python 3 Only first, *middle, last = another_list
3. 使用操作符in
##不推荐 if fruit == "apple" or fruit == "orange" or fruit == "berry": # 多次判断 ##推荐 if fruit in ["apple", "orange", "berry"]: # 使用 in 更加简洁
4. 字符串操作
##不推荐 colors = ['red', 'blue', 'green', 'yellow'] result = '' for s in colors: result += s # 每次赋值都丢弃以前的字符串对象, 生成一个新对象 ##推荐 colors = ['red', 'blue', 'green', 'yellow'] result = ''.join(colors) # 没有额外的内存分配
5. 字典键值列表
##不推荐 for key in my_dict.keys(): # my_dict[key] ... ##推荐 for key in my_dict: # my_dict[key] ... # 只有当循环中需要更改key值的情况下,我们需要使用 my_dict.keys() # 生成静态的键值列表。
6. 字典键值判断
##不推荐 if my_dict.has_key(key): # ...do something with d[key] ##推荐 if key in my_dict: # ...do something with d[key]
7. 字典 get 和 setdefault 方法
##不推荐 navs = {} for (portfolio, equity, position) in data: if portfolio not in navs: navs[portfolio] = 0 navs[portfolio] += position * prices[equity] ##推荐 navs = {} for (portfolio, equity, position) in data: # 使用 get 方法 navs[portfolio] = navs.get(portfolio, 0) + position * prices[equity] # 或者使用 setdefault 方法 navs.setdefault(portfolio, 0) navs[portfolio] += position * prices[equity]
8. 判断真伪
##不推荐 if x == True: # .... if len(items) != 0: # ... if items != []: # ... ##推荐 if x: # .... if items: # ...
9. 遍历列表以及索引
##不推荐 items = 'zero one two three'.split() # method 1 i = 0 for item in items: print i, item i += 1 # method 2 for i in range(len(items)): print i, items[i] ##推荐 items = 'zero one two three'.split() for i, item in enumerate(items): print i, item
10. 列表推导
##不推荐 new_list = [] for item in a_list: if condition(item): new_list.append(fn(item)) ##推荐 new_list = [fn(item) for item in a_list if condition(item)]
11. 列表推导-嵌套
##不推荐 for sub_list in nested_list: if list_condition(sub_list): for item in sub_list: if item_condition(item): # do something... ##推荐 gen = (item for sl in nested_list if list_condition(sl) \ for item in sl if item_condition(item)) for item in gen: # do something...
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