Table of Contents
1. Uniqueness
2. Anagrams (words with the same letters in different orders)
3. Memory
4. Byte size
5. Print a string N times
6. Capitalize the first letter
7. List subdivision
8. Compression
9. Counting
10. Chain comparison
11. Comma separated
12. Vowel counting
13. The first letter is lowercase
24. Expand the list
15. Find the difference
16. Output the difference
17. Chain function call
18.
19. Convert two lists into fonts
20. The element with the highest frequency of occurrence
21. Palindrome (the same string is read forward and backward)
22. Calculator without if-else statements
23. Random sorting
Home Backend Development Python Tutorial What are some very practical Python skills?

What are some very practical Python skills?

May 12, 2023 pm 05:34 PM
python

1. Uniqueness

The following method can check whether there are duplicates in a given list, and use the set() attribute to delete them from the list.

x = [1,1,2,2,3,2,3,4,5,6]
y = [1,2,3,4,5]
len(x)== len(set(x)) # False
len(y)== len(set(y)) # True
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2. Anagrams (words with the same letters in different orders)

This method can be used to check whether two strings are anagrams.

from collections import Counter
>>> Counter('abadfsdafsdfjsdaf')
Counter({'a': 4, 'd': 4, 'f': 4, 's': 3, 'b': 1, 'j': 1})

def anagram(first, second):
    return Counter(first) == Counter(second)
anagram("abcd3", "3acdb") # True
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3. Memory

This code snippet can be used to check the memory usage of an object.

import sys 
variable = 30 
print(sys.getsizeof(variable)) # 28
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4. Byte size

This method can output the byte size of the string.

print(len(''.encode('utf-8')))# 0
print(len('hellow sdfsdaf'.encode('utf-8'))) # 14
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This code segment can print a string multiple times without looping.

n = 2; 
s ="Programming"; 
print(s * n); # ProgrammingProgramming
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6. Capitalize the first letter

The following code snippet only uses title() to capitalize the first letter of each word in the string.

s = "programming is awesome"
print(s.title()) # Programming Is Awesome
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7. List subdivision

This method subdivides the list into lists of a specific size.

>>> list = list(range(12))
>>> size=3
>>> [list[i:i+size] for i in range(0,len(list), size)]
[[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10, 11]]
>>>
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8. Compression

The following code uses filter() to remove error values ​​(False, None, 0 and " ") from the list.

list(filter(bool, [0, 1, False, 2, '', 3, 'a', 's', 34]))
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9. Counting

The following code can be used to swap the 2D array arrangement.

array = [['a', 'b'], ['c', 'd'], ['e', 'f']]
transposed = zip(*array)
print(transposed)  # [('a', 'c', 'e'), ('b', 'd', 'f')]
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10. Chain comparison

The following code can perform multiple comparisons on various operators.

a = 3
print( 2 < a < 8) # True
print(1 == a < 2) # False
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11. Comma separated

This code snippet converts a list of strings into a single string while separating each element in the list with a comma.

hobbies = ["basketball", "football", "swimming"]
print("My hobbies are: " + ", ".join(hobbies)) # My hobbies are: basketball, football, swimming
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12. Vowel counting

This method can count the number of vowels ("a", "e", "i", "o", "u") in the string .

import re
print(len(re.findall(r&#39;[aeiou]&#39;, &#39;foobar&#39;, re.IGNORECASE)))   # 3
print(len(re.findall(r&#39;[aeiou]&#39;, &#39;gym&#39;, re.IGNORECASE)))   # 0
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13. The first letter is lowercase

This method converts the first letter of the given string into lowercase mode.

&#39;FooBar&#39;[:1].lower() + &#39;FooBar&#39;[1:] # &#39;fooBar&#39;
&#39;FooBar&#39;[:1].lower() + &#39;FooBar&#39;[1:]   # &#39;fooBar&#39;
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14. Expand the list

The following code uses a recursive method to expand a potentially deep list.

def spread(arg):
    ret = []
    for i in arg:
        if isinstance(i, list):
            ret.extend(i)
    else:
        ret.append(i)
    return ret

def deep_flatten(lst):
    result = []
    result.extend(
        spread(list(map(lambda x: deep_flatten(x) if type(x) == list else x, lst))))
    return result
deep_flatten([1, [2], [[3], 4], 5])  # [1,2,3,4,5]
print(deep_flatten([1, [2], [[3], 4], 5]))  # [1,2,3,4,5]
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15. Find the difference

This method keeps only the values ​​in the first iteration to find the difference between the two iterations

set([1,2,3])-set([1,2,4]) # [3]
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16. Output the difference

The following method uses existing functions to find and output the difference between two lists.

def difference_by(a, b, fn):
    b = set(map(fn, b))
    return [item for item in a if fn(item) not in b]
from math import floor
difference_by([2.1, 1.2], [2.3, 3.4],floor) # [1.2]
difference_by([{ &#39;x&#39;: 2 }, { &#39;x&#39;: 1 }], [{ &#39;x&#39;: 1 }], lambda v : v[&#39;x&#39;]) # [ { x: 2 } ]
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17. Chain function call

The following method can call multiple functions in one line

def add(a, b):
    return a + b
def subtract(a, b):
    return a – b
a, b = 4, 5
print((subtract if a > b else add)(a, b)) # 9
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18.

In Python3.5 and In the upgraded version, you can also execute the step code in the following way:

def merge_dictionaries(a, b):
    return {**a, **b}
a = { &#39;x&#39;: 1, &#39;y&#39;: 2}
b = { &#39;y&#39;: 3, &#39;z&#39;: 4}
print(merge_dictionaries(a, b)) # {&#39;y&#39;: 3, &#39;x&#39;: 1, &#39;z&#39;: 4}
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19. Convert two lists into fonts

The following method can convert two lists into fonts.

keys = ["a", "b", "c"] 
values = [2, 3, 4]
print(dict(zip(keys, values))) # {&#39;a&#39;: 2, &#39;c&#39;: 4, &#39;b&#39;: 3}
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20. The element with the highest frequency of occurrence

This method will output the element with the highest frequency of appearance in the list.

def most_frequent(list):
    return max(set(list), key = list.count)
list = [1,2,1,2,3,2,1,4,2]
most_frequent(list)
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21. Palindrome (the same string is read forward and backward)

The following code checks whether the given string is a palindrome. First convert the string to lowercase, then remove non-alphabetic characters from it, and finally compare the new string version to the original version.

def palindrome(string):
    from re import sub
    s = sub(&#39;[\W_]&#39;, &#39;&#39;, string.lower())
    return s == s[::-1]
palindrome(&#39;taco cat&#39;) # True
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22. Calculator without if-else statements

The following code snippet shows how to write a simple calculator without if-else conditional statements.

import operator
action = {
 "+": operator.add,
 "-": operator.sub,
 "/": operator.truediv,
 "*": operator.mul,
 "**": pow
}
print(action[&#39;-&#39;](50, 25)) # 25
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23. Random sorting

This algorithm uses the Fisher-Yates algorithm to randomly sort the elements in the new list.

from copy import deepcopy
from random import randint

def shuffle(lst):
    temp_lst = deepcopy(lst)
    m = len(temp_lst)
    while (m):
        m -= 1
    i = randint(0, m)
    temp_lst[m], temp_lst[i] = temp_lst[i], temp_lst[m]
    return temp_lst

foo = [1, 2, 3]
shuffle(foo)  # [2,3,1] , foo = [1,2,3]
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24. Expand the list

This method can only expand 2 levels of nested lists, not more than 2 levels

def spread(arg):
    ret = []
    for i in arg:
        if isinstance(i, list):
            ret.extend(i)
        else:
            ret.append(i)
    return ret
spread([1, 2, 3, [4, 5, 6], [7], 8, 9])  # [1,2,3,4,5,6,7,8,9]
print(spread([1, 2, 3, [4, 5,[10,11,12,132,4,[1,2,3,4,5,6]], 6], [7], 8, 9]))  #[1, 2, 3, 4, 5, [10, 11, 12, 132, 4, [1, 2, 3, 4, 5, 6]], 6, 7, 8, 9]
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