梳理總結(jié)Python開發(fā)中需要摒棄的18個(gè)壞習(xí)慣
廢話不多說,我們開始學(xué)習(xí)吧!
1、拼接字符串用 + 號
壞的做法:
def manual_str_formatting(name, subscribers): if subscribers > 100000: print("Wow " + name + "! you have " + str(subscribers) + " subscribers!") else: print("Lol " + name + " that's not many subs")
好的做法是使用 f-string,而且效率會(huì)更高:
def manual_str_formatting(name, subscribers): # better if subscribers > 100000: print(f"Wow {name}! you have {subscribers} subscribers!") else: print(f"Lol {name} that's not many subs")
2、使用 finaly 而不是上下文管理器
壞的做法:
def finally_instead_of_context_manager(host, port): s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) try: s.connect((host, port)) s.sendall(b'Hello, world') finally: s.close()
好的做法是使用上下文管理器,即使發(fā)生異常,也會(huì)關(guān)閉 socket::
def finally_instead_of_context_manager(host, port): # close even if exception with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.connect((host, port)) s.sendall(b'Hello, world')
3、嘗試手動(dòng)關(guān)閉文件
壞的做法:
def manually_calling_close_on_a_file(filename): f = open(filename, "w") f.write("hello!\n") f.close()
好的做法是使用上下文管理器,即使發(fā)生異常,也會(huì)自動(dòng)關(guān)閉文件,凡是有上下文管理器的,都應(yīng)該首先采用:
def manually_calling_close_on_a_file(filename): with open(filename) as f: f.write("hello!\n") # close automatic, even if exception
4、except 后面什么也不寫
壞的做法:
def bare_except(): while True: try: s = input("Input a number: ") x = int(s) break except: # oops! can't CTRL-C to exit print("Not a number, try again")
這樣會(huì)捕捉所有異常,導(dǎo)致按下 CTRL-C 程序都不會(huì)終止,好的做法是
def bare_except(): while True: try: s = input("Input a number: ") x = int(s) break except Exception: # 比這更好的是用 ValueError print("Not a number, try again")
5、函數(shù)參數(shù)使用可變對象
如果函數(shù)參數(shù)使用可變對象,那么下次調(diào)用時(shí)可能會(huì)產(chǎn)生非預(yù)期結(jié)果,壞的做法
def mutable_default_arguments(): def append(n, l=[]): l.append(n) return l l1 = append(0) # [0] l2 = append(1) # [0, 1]
好的做法:
def mutable_default_arguments(): def append(n, l=None): if l is None: l = [] l.append(n) return l l1 = append(0) # [0] l2 = append(1) # [1]
6、從不用推導(dǎo)式
壞的做法
squares = {} for i in range(10): squares[i] = i * i
好的做法
odd_squares = {i: i * i for i in range(10)}
7、推導(dǎo)式用的上癮
推導(dǎo)式雖然好用,但是不可以犧牲可讀性,壞的做法
c = [ sum(a[n * i + k] * b[n * k + j] for k in range(n)) for i in range(n) for j in range(n) ]
好的做法:
c = [] for i in range(n): for j in range(n): ij_entry = sum(a[n * i + k] * b[n * k + j] for k in range(n)) c.append(ij_entry)
8、檢查類型是否一致用 ==
壞的做法
def checking_type_equality(): Point = namedtuple('Point', ['x', 'y']) p = Point(1, 2) if type(p) == tuple: print("it's a tuple") else: print("it's not a tuple")
好的做法
def checking_type_equality(): Point = namedtuple('Point', ['x', 'y']) p = Point(1, 2) # probably meant to check if is instance of tuple if isinstance(p, tuple): print("it's a tuple") else: print("it's not a tuple")
9、用 == 判斷是否單例
壞的做法
def equality_for_singletons(x): if x == None: pass if x == True: pass if x == False: pass
好的做法
def equality_for_singletons(x): # better if x is None: pass if x is True: pass if x is False: pass
10、判斷一個(gè)變量用 bool(x)
壞的做法
def checking_bool_or_len(x): if bool(x): pass if len(x) != 0: pass
好的做法
def checking_bool_or_len(x): # usually equivalent to if x: pass
11、使用類 C 風(fēng)格的 for 循環(huán)
壞的做法
def range_len_pattern(): a = [1, 2, 3] for i in range(len(a)): v = a[i] ... b = [4, 5, 6] for i in range(len(b)): av = a[i] bv = b[i] ...
好的做法
def range_len_pattern(): a = [1, 2, 3] # instead for v in a: ... # or if you wanted the index for i, v in enumerate(a): ... # instead use zip for av, bv in zip(a, b): ...
12、不實(shí)用 dict.items
壞的做法
def not_using_dict_items(): d = {"a": 1, "b": 2, "c": 3} for key in d: val = d[key] ...
好的做法
def not_using_dict_items(): d = {"a": 1, "b": 2, "c": 3} for key, val in d.items(): ...
13、解包元組使用索引
壞的做法
mytuple = 1, 2 x = mytuple[0] y = mytuple[1]
好的做法
mytuple = 1, 2 x, y = mytuple
14、使用 time.time() 統(tǒng)計(jì)耗時(shí)
壞的做法
def timing_with_time(): start = time.time() time.sleep(1) end = time.time() print(end - start)
好的做法是使用 time.perf_counter(),更精確:
def timing_with_time(): # more accurate start = time.perf_counter() time.sleep(1) end = time.perf_counter() print(end - start)
15、記錄日志使用 print 而不是 logging
壞的做法
def print_vs_logging(): print("debug info") print("just some info") print("bad error")
好的做法
def print_vs_logging(): # versus # in main level = logging.DEBUG fmt = '[%(levelname)s] %(asctime)s - %(message)s' logging.basicConfig(level=level, format=fmt) # wherever logging.debug("debug info") logging.info("just some info") logging.error("uh oh :(")
16、調(diào)用外部命令時(shí)使用 shell=True
壞的做法
subprocess.run(["ls -l"], capture_output=True, shell=True)
如果 shell=True,則將 ls -l
傳遞給/bin/sh(shell) 而不是 Unix 上的 ls 程序,會(huì)導(dǎo)致 subprocess 產(chǎn)生一個(gè)中間 shell 進(jìn)程, 換句話說,使用中間 shell 意味著在命令運(yùn)行之前,命令字符串中的變量、glob 模式和其他特殊的 shell 功能都會(huì)被預(yù)處理。比如,$HOME 會(huì)在在執(zhí)行 echo 命令之前被處理處理。
好的做法是拒絕從 shell 執(zhí)行:
subprocess.run(["ls", "-l"], capture_output=True)
17、從不嘗試使用 numpy
壞的做法
def not_using_numpy_pandas(): x = list(range(100)) y = list(range(100)) s = [a + b for a, b in zip(x, y)]
好的做法:
import numpy as np def not_using_numpy_pandas(): # 性能更快 x = np.arange(100) y = np.arange(100) s = x + y
18、喜歡 import *
壞的做法
from itertools import * count()
這樣的話,沒有人直到這個(gè)腳本到底有多數(shù)變量, 好的做法:
from mypackage.nearby_module import awesome_function def main(): awesome_function() if __name__ == '__main__': main()
到此這篇關(guān)于梳理總結(jié)Python開發(fā)中需要摒棄的18個(gè)壞習(xí)慣的文章就介紹到這了,更多相關(guān)Python 壞習(xí)慣內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家!
相關(guān)文章
詳解Python的collections模塊中的deque雙端隊(duì)列結(jié)構(gòu)
deque結(jié)構(gòu)可以看作是內(nèi)置的list結(jié)構(gòu)的加強(qiáng)版,且比隊(duì)列提供了更強(qiáng)大的方法,下面就通過幾個(gè)小例子來詳解Python的collections模塊中的deque雙端隊(duì)列結(jié)構(gòu):2016-07-07Python包中__init__.py文件的作用與用法實(shí)例詳解
我們新建python包時(shí)常常會(huì)看到一個(gè)__init _.py文件,下面這篇文章主要給大家介紹了關(guān)于Python包中__init__.py文件的作用與用法的相關(guān)資料,文中通過實(shí)例代碼介紹的非常詳細(xì),需要的朋友可以參考下2022-06-06python中關(guān)于時(shí)間和日期函數(shù)的常用計(jì)算總結(jié)(time和datatime)
python中關(guān)于時(shí)間和日期函數(shù)有time和datatime使用介紹,需要的朋友可以參考下2013-03-03