“惯例”(“idiom”)即常规做法。Python与其他语言有很大差别,熟悉使用后,就能写出独具风格(“Pythonic”)的代码。从《Python Idioms》中选取了几个经典的:
让代码既可以被导入又可以被执行。
if __name__ == '__main__':
用下面的方式判断逻辑“真”或“假”。
if x:if not x:
好的代码:
name = 'jackfrued'fruits = ['apple', 'orange', 'grape']owners = {'1001': '骆昊', '1002': '王大锤'}if name and fruits and owners:print('I love fruits!')
不好的代码:
name = 'jackfrued'fruits = ['apple', 'orange', 'grape']owners = {'1001': '骆昊', '1002': '王大锤'}if name != '' and len(fruits) > 0 and owners != {}:print('I love fruits!')
- 善于使用in运算符。
if x in items: # 包含for x in items: # 迭代
好的代码:
name = 'Hao LUO'if 'L' in name:print('The name has an L in it.')
不好的代码:
name = 'Hao LUO'if name.find('L') != -1:print('This name has an L in it!')
不使用临时变量交换两个值。
a, b = b, a
用序列构建字符串。
好的代码:
chars = ['j', 'a', 'c', 'k', 'f', 'r', 'u', 'e', 'd']name = ''.join(chars)print(name) # jackfrued
不好的代码:
chars = ['j', 'a', 'c', 'k', 'f', 'r', 'u', 'e', 'd']name = ''for char in chars:name += charprint(name) # jackfrued
- EAFP优于LBYL。
EAFP - Easier to Ask Forgiveness than Permission.
LBYL - Look Before You Leap.
好的代码:
d = {'x': '5'}try:value = int(d['x'])print(value)except (KeyError, TypeError, ValueError):value = None
不好的代码:
d = {'x': '5'}if 'x' in d and isinstance(d['x'], str) \and d['x'].isdigit():value = int(d['x'])print(value)else:value = None
- 使用enumerate进行迭代。
好的代码:
fruits = ['orange', 'grape', 'pitaya', 'blueberry']for index, fruit in enumerate(fruits):print(index, ':', fruit)
不好的代码:
fruits = ['orange', 'grape', 'pitaya', 'blueberry']index = 0for fruit in fruits:print(index, ':', fruit)index += 1
- 用生成式生成列表。
好的代码:
data = [7, 20, 3, 15, 11]result = [num * 3 for num in data if num > 10]print(result) # [60, 45, 33]
不好的代码:
data = [7, 20, 3, 15, 11]result = []for i in data:if i > 10:result.append(i * 3)print(result) # [60, 45, 33]
- 用zip组合键和值来创建字典。
好的代码:
keys = ['1001', '1002', '1003']values = ['骆昊', '王大锤', '白元芳']d = dict(zip(keys, values))print(d)
不好的代码:
keys = ['1001', '1002', '1003']values = ['骆昊', '王大锤', '白元芳']d = {}for i, key in enumerate(keys):d[key] = values[i]print(d)
