Python编程的高效技巧有哪些？

$ python -m timeit -n 1000000 -s 'import numpy as np' 'mylist=list(np.arange(0, 200))' 'mylist[::-1]'1000000 loops, best of 5: 15.6 usec per loop

$ python -m timeit -n 1000000 -s 'import numpy as np' 'mylist=list(np.arange(0, 200))' 'mylist.reverse()'1000000 loops, best of 5: 10.7 usec per loop

variable_1 = 100 variable_2 = 500

variable_1, variable_2 = variable_2, variable_1

md[key_2], md[key_1] = md[key_1], md[key_2]

list_of_strings = ['apple','orange','banana','pineapple','grape']

def only_function(x):    new_string = x.capitalize()    out_putstring = x + " " + new_string    print(output_string)

def for_in_function(listofstrings):    for x in list_of_strings:        new_string = x.capitalize()        output_string = x + " " + new_string        print(output_string)

# Check if num an int typetype(num) == type(0) # Three function callstype(num) is type(0) # Two function callsisinstance(num,(int)) # One function call

# Each loop the len(a) will be calledwhile i < len(a):    statement# Only execute len(a) oncem = len(a)while i < m:    statement