Write Better Python Code
Dharaneeswaran R
Posted on December 29, 2021
Introduction
This article has the collection python coding practices that I have learned over last few months for writing more idiomatic python code.
1. Multiple Assignment
Initialise same value for different variables.
# Instead of this
x = 10
y = 10
z = 10
# Use this
x = y = z = 10
2. Variable Unpacking
x, y = [1, 2]
# x = 1, y = 2
x, *y = [1, 2, 3, 4, 5]
# x = 1, y = [2, 3, 4, 5]
x, *y, z = [1, 2, 3, 4, 5]
# x = 1, y = [2, 3, 4], z = 5
3. Swapping Variables
# Instead of this
temp = x
x = y
y = temp
# Use this
x, y = y, x
4. Name Casing
In python snake_case
is preferred over camelCase
for variables and functions names.
# Instead of this
def isEven(num):
pass
# Use this
def is_even(num):
pass
5. Conditional Expressions
You can combine if-else statements into one line.
# Instead of this
def is_even(num):
if num % 2 == 0:
print("Even")
else:
print("Odd")
# Use this
def is_even(num):
print("Even") if num % 2 == 0 else print("Odd")
# Or this
def is_even(num):
print("Even" if num % 2 == 0 else "Odd")
6. String Formatting
name = "Dobby"
item = "Socks"
# Instead of this
print("%s likes %s." %(name, item))
# Or this
print("{} likes {}.".format(name, item))
# Use this
print(f"{name} likes {item}.")
f-strings are introduced in Python 3.6 and faster and more readable than other string formatting methods.
7. Comparison Operator
# Instead of this
if 99 < x and x < 1000:
print("x is a 3 digit number")
# Use this
if 99 < x < 1000:
print("x is a 3 digit number")
8. Iterating over a list or tuple
We don't need to use indices to access list elements. Instead we can do this.
numbers = [1, 2, 3, 4, 5, 6]
# Instead of this
for i in range(len(numbers)):
print(numbers[i])
# Use this
for number in numbers:
print(number)
# Both of these yields the same output
9. Using enumerate()
When you need both indices and values, we can use enumerate()
.
names = ['Harry', 'Ron', 'Hermione', 'Ginny', 'Neville']
for index, value in enumerate(names):
print(index, value)
10. Using Set for searching
Searching in a set is faster(O(1)) compared to list(O(n)).
# Instead of this
l = ['a', 'e', 'i', 'o', 'u']
def is_vowel(char):
if char in l:
print("Vowel")
# Use this
s = {'a', 'e', 'i', 'o', 'u'}
def is_vowel(char):
if char in s:
print("Vowel")
11. List comprehension
Consider the following program to multiply the elements of the list into 2 if they are even.
arr = [1, 2, 3, 4, 5, 6]
res = []
# Instead of this
for num in arr:
if num % 2 == 0:
res.append(num * 2)
else:
res.append(num)
# Use this
res = [(num * 2 if num % 2 == 0 else num) for num in arr]
12. Iterating Dictionary
Using dict.items()
to iterate through a dictionary.
roll_name = {
315: "Dharan",
705: "Priya",
403: "Aghil"
}
# Instead of this
for key in roll_name:
print(key, roll_name[key])
# Do this
for key, value in roll_name.items():
print(key, value)
Sources
Posted on December 29, 2021
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