文章目录
- 1.字符串反转
 - 2.每个单词的第一个字母大写
 - [3. 字符串查找唯一元素](#3. 字符串查找唯一元素)
 - 4.重复打印字符串和列表n次
 - 5.列表生成
 - 6.变量交换
 - 7.字符串拆分为子字符串列表
 - 8.多个字符串组合为一个字符串
 - 9.检测字符串是否为回文
 - [10. 统计列表中元素的次数](#10. 统计列表中元素的次数)
 - 11.判断两个字符串是否为Anagrams
 - [12. 使用try-except-else-block模块](#12. 使用try-except-else-block模块)
 - [13. 使用枚举函数得到key/value对](#13. 使用枚举函数得到key/value对)
 - 14.检查对象的内存使用情况
 - 15.合并字典
 - 16.计算执行一段代码所花费的时间
 - [17. 列表展开](#17. 列表展开)
 - [18. 列表采样](#18. 列表采样)
 - 19.数字化
 - 20.检查列表元素的唯一性
 - Reference
 
1.字符串反转
使用Python切片反转字符串
            
            
              python
              
              
            
          
          # Reversing a string using slicing
my_string = "ABCDE"
reversed_string = my_string[::-1]
print(reversed_string)
# Output
# EDCBA
        2.每个单词的第一个字母大写
使用title函数方法
            
            
              python
              
              
            
          
          my_string = "my name is chaitanya baweja"
# using the title() function of string class
new_string = my_string.title()
print(new_string)
# Output
# My Name Is Chaitanya Baweja
        3. 字符串查找唯一元素
使用集合的概念查找字符串的唯一元素
            
            
              python
              
              
            
          
          my_string = "aavvccccddddeee"
# converting the string to a set
temp_set = set(my_string)
# stitching set into a string using join
new_string = ''.join(temp_set)
print(new_string)
# output
# cdvae
        4.重复打印字符串和列表n次
你可以使用乘法符号(*)打印字符串或列表多次:
            
            
              python
              
              
            
          
          n = 3 # number of repetitions
my_string = "abcd"
my_list = [1,2,3]
print(my_string*n)
# abcdabcdabcd
print(my_list*n)
# [1,2,3,1,2,3,1,2,3]
        5.列表生成
            
            
              python
              
              
            
          
          # Multiplying each element in a list by 2
original_list = [1,2,3,4]
new_list = [2*x for x in original_list]
print(new_list)
# [2,4,6,8]
        6.变量交换
            
            
              python
              
              
            
          
          a = 1
b = 2
a, b = b, a
print(a) # 2
print(b) # 1
        7.字符串拆分为子字符串列表
使用.split()函数
            
            
              python
              
              
            
          
          string_1 = "My name is Chaitanya Baweja"
string_2 = "sample/ string 2"
# default separator ' '
print(string_1.split())
# ['My', 'name', 'is', 'Chaitanya', 'Baweja']
# defining separator as '/'
print(string_2.split('/'))
# ['sample', ' string 2']
        8.多个字符串组合为一个字符串
            
            
              python
              
              
            
          
          list_of_strings = ['My', 'name', 'is', 'Chaitanya', 'Baweja']
# Using join with the comma separator
print(','.join(list_of_strings))
# Output
# My,name,is,Chaitanya,Baweja
        9.检测字符串是否为回文
            
            
              python
              
              
            
          
          my_string = "abcba"
if my_string == my_string[::-1]:
    print("palindrome")
else:
    print("not palindrome")
# Output
# palindrome
        10. 统计列表中元素的次数
            
            
              python
              
              
            
          
          # finding frequency of each element in a list
from collections import Counter
my_list = ['a','a','b','b','b','c','d','d','d','d','d']
count = Counter(my_list) # defining a counter object
print(count) # Of all elements
# Counter({'d': 5, 'b': 3, 'a': 2, 'c': 1})
print(count['b']) # of individual element
# 3
print(count.most_common(1)) # most frequent element
# [('d', 5)]
        11.判断两个字符串是否为Anagrams
Anagrams的含义为两个单词中,每个英文单词(不含大小写)出现的次数相同,使用Counter类判断两个字符串是否为Anagrams。
            
            
              python
              
              
            
          
          from collections import Counter
str_1, str_2, str_3 = "acbde", "abced", "abcda"
cnt_1, cnt_2, cnt_3  = Counter(str_1), Counter(str_2), Counter(str_3)
if cnt_1 == cnt_2:
    print('1 and 2 anagram')
if cnt_1 == cnt_3:
    print('1 and 3 anagram')
# output
# 1 and 2 anagram
        12. 使用try-except-else-block模块
except获取异常处理
            
            
              python
              
              
            
          
          a, b = 1,0
try:
    print(a/b)
    # exception raised when b is 0
except ZeroDivisionError:
    print("division by zero")
else:
    print("no exceptions raised")
finally:
    print("Run this always")
# output
# division by zero
# Run this always
        13. 使用枚举函数得到key/value对
            
            
              python
              
              
            
          
          my_list = ['a', 'b', 'c', 'd', 'e']
for index, value in enumerate(my_list):
    print('{0}: {1}'.format(index, value))
# 0: a
# 1: b
# 2: c
# 3: d
# 4: e
        14.检查对象的内存使用情况
            
            
              python
              
              
            
          
          import sys
num = 21
print(sys.getsizeof(num))
# In Python 2, 24
# In Python 3, 28
        15.合并字典
            
            
              python
              
              
            
          
          dict_1 = {'apple': 9, 'banana': 6}
dict_2 = {'banana': 4, 'orange': 8}
combined_dict = {**dict_1, **dict_2}
print(combined_dict)
# Output
# {'apple': 9, 'banana': 4, 'orange': 8}
        16.计算执行一段代码所花费的时间
使用time类计算运行一段代码所花费的时间
            
            
              python
              
              
            
          
          import time
start_time = time.time()
# Code to check follows
for i in range(10**5):
    a, b = 1,2
    c = a+ b
# Code to check ends
end_time = time.time()
time_taken_in_micro = (end_time- start_time)*(10**6)
print(time_taken_in_micro)
# output
# 18770.217895507812
        17. 列表展开
            
            
              python
              
              
            
          
          from iteration_utilities import deepflatten
# if you only have one depth nested_list, use this
def flatten(l):
  return [item for sublist in l for item in sublist]
l = [[1,2,3],[3]]
print(flatten(l))
# [1, 2, 3, 3]
# if you don't know how deep the list is nested
l = [[1,2,3],[4,[5],[6,7]],[8,[9,[10]]]]
print(list(deepflatten(l, depth=3)))
# [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
        18. 列表采样
            
            
              python
              
              
            
          
          import random
my_list = ['a', 'b', 'c', 'd', 'e']
num_samples = 2
samples = random.sample(my_list,num_samples)
print(samples)
# [ 'a', 'e'] this will have any 2 random values
        19.数字化
将整数转化成数字列表
            
            
              python
              
              
            
          
          num = 123456
# using map
list_of_digits = list(map(int, str(num)))
print(list_of_digits)
# [1, 2, 3, 4, 5, 6]
# using list comprehension
list_of_digits = [int(x) for x in str(num)]
print(list_of_digits)
# [1, 2, 3, 4, 5, 6]
        20.检查列表元素的唯一性
检查列表中每个元素是否为唯一的
            
            
              python
              
              
            
          
          def unique(l):
    if len(l)==len(set(l)):
        print("All elements are unique")
    else:
        print("List has duplicates")
unique([1,2,3,4])
# All elements are unique
unique([1,1,2,3])
# List has duplicates