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The following are some practical Python tips and tools that I have collected in recent years. I hope they will be helpful to you.
Exchange variables
x = 6
y = 5
x, y = y, x
print x
>>> 5
print y
>>> 6
if statement inline
print "Hello" if True else "World"
>>Hello
Connection
The last way below is very cool when binding two objects of different types.
nfc = ["Packers", "49ers"]
afc = ["Ravens", "Patriots"]
print nfc + afc
>>> ['Packers', '49ers', 'Ravens', 'Patriots']
print str(1) + " world"
>>> 1 world
print `1` + " world"
>>> 1 world
print 1, "world"
> >> 1 world
print nfc, 1
>>> ['Packers', '49ers'] 1
Number skills
#Round down after division
print 5.0//2
>>> 2
# 2 to the 5th power
print 2**5
>> 32
Pay attention to the division of floating point numbers
print .3/.1
>>> 2.9999999999999996
print .3//. 1
>>> 2.0
Numerical comparison
This is such a great simple method that I have seen in many languages
x = 2
if 3 > x > 1:
print x
>>> 2
if 1 0:
print x
>>> 2
Iterate two lists at the same time
nfc = ["Packers", "49ers"]
afc = ["Ravens", "Patriots"]
for teama, teamb in zip(nfc, afc):
print teama + " vs. " + teamb
>>> Packers vs. Ravens
>>> 49ers vs. Patriots
belt List iteration of index
teams = ["Packers", "49ers", "Ravens", "Patriots"]
for index, team in enumerate(teams):
print index, team
>>> 0 Packers
>>> 1 49ers
>>> 2 Ravens
>>> 3 Patriots
List comprehension
Given a list, we can select the even list method:
numbers = [1,2 ,3,4,5,6]
even = []
for number in numbers:
if number%2 == 0:
even.append(number)
converts to the following:
numbers = [1,2,3,4,5,6]
even = [number for number in numbers if number%2 == 0]
Isn’t it awesome, haha.
Dictionary comprehension
Similar to list comprehensions, dictionaries can do the same job:
teams = ["Packers", "49ers", "Ravens", "Patriots"]
print {key: value for value, key in enumerate(teams)}
>>> {'49ers': 1, 'Ravens': 2, 'Patriots': 3, 'Packers': 0}
Value of initialization list
items = [0]* 3
print items
>>> [0,0,0]
Convert list to string
teams = ["Packers", "49ers", "Ravens", "Patriots"]
print ", ".join(teams)
>>> 'Packers, 49ers, Ravens, Patriots'
Get elements from a dictionary
I admit try/except code is not elegant, but here is a simple method, try it in the dictionary Search for key. If the corresponding alue is not found, the second parameter will be used to set its variable value.
data = {'user': 1, 'name': 'Max', 'three': 4}
try:
is_admin = data['admin']
except KeyError:
is_admin = False
Replace like this:
data = {'user': 1, 'name': 'Max', 'three': 4}
is_admin = data.get('admin', False)
Get the child of the list Sets
Sometimes, you only need a subset of elements in a list, here are some ways to get a subset of a list.
x = [1,2,3,4,5,6]
#First 3
print x[:3]
>>> [1,2,3]
#Middle 4
print x[1:5]
>>> [2,3,4,5]
#The last 3
print x[-3:]
>>> [4,5,6]
#Odd items
print x[::2]
>>> [1,3,5]
#Even items
print x[1::2]
>>> [2,4, 6]
60 characters to solve FizzBuzz
Some time ago, Jeff Atwood promoted a simple programming exercise called FizzBuzz. The problem is quoted as follows:
Write a program that prints the numbers 1 to 100, and prints "Fizz" for multiples of 3 to replace them. For this number, "Buzz" is printed for multiples of 5, and "FizzBuzz" is printed for numbers that are both multiples of 3 and 5.
Here is a short and interesting way to solve this problem:
1
for x in range(101):print"fizz"[x%3*4::]+"buzz"[x%5* 4::]or If you participated in this year's Facebook HackerCup, you can even find its practicality.
from collections import Counter
print Counter("hello")
>>> Counter({'l': 2, 'h': 1, 'e': 1, 'o': 1})
Iterative tools
Like the collections library, there is also a library called itertools, which can really solve certain problems efficiently. One use case is to find all combinations, which tells you all the possible combinations of elements in a group
from itertools import combinations
teams = ["Packers", "49ers", "Ravens", "Patriots"]
for game in combinations(teams, 2):
print game
>>> ('Packers', '49ers')
>> ('Packers', 'Ravens')
>>> ('Packers', 'Patriots')
>>> ('49ers', 'Ravens')
>>> ('49ers' , 'Patriots')
>>> ('Ravens', 'Patriots')
False == True
This is a very interesting thing compared to practical technology. In python, True and False are global variable, therefore:
False = True
if False:
print "Hello"
else:
print "World"
>>> Hello