30 Python Tips and Tricks to Supercharge Your Coding
Discover a curated collection of practical Python tips—from swapping variables without a temporary placeholder and mastering list, set, and dictionary comprehensions to leveraging Counter for counting, pretty‑printing JSON, solving FizzBuzz, using inline if statements, and more—to enhance your coding efficiency and readability.
Python meets the expectations of many programmers looking for an efficient, high‑level language, offering concise syntax that can replace verbose C/C++ code.
01 Variable Swapping
In Python you can swap two variables without a temporary placeholder:
>a=3
>b=6
>a,b=b,a
>print(a) # 6
>print(b) # 302 Dictionary and Set Comprehensions
Python supports list, set, and dictionary comprehensions for concise data construction.
# List comprehension
some_list = [1, 2, 3, 4, 5]
another_list = [x + 1 for x in some_list]
# Set comprehension (Python 3.1+)
some_list = [1,2,3,4,5,2,5,1,4,8]
even_set = {x for x in some_list if x % 2 == 0}
# Dictionary comprehension
d = {x: x % 2 == 0 for x in range(1, 11)}03 Counter for Counting
The collections.Counter class provides an easy way to count hashable objects.
from collections import Counter
c = Counter('hello world')
print(c) # Counter({'l': 3, 'o': 2, ...})
print(c.most_common(2)) # [('l', 3), ('o', 2)]04 Pretty‑Printing JSON
Use the json module with the indent parameter or pprint for readable output.
import json
print(json.dumps(data))
print(json.dumps(data, indent=2))05 Solving FizzBuzz
A compact solution prints numbers 1‑100, replacing multiples of 3 with "fizz", multiples of 5 with "buzz", and both with "fizzbuzz".
for x in range(1, 101):
print("fizz")[x%3*len('fizz')::] + "buzz"[x%5*len('buzz')::] or x06 Inline If Statement
print("Hello") if True else print("World")
# Output: Hello07 Concatenating Lists
nfc = ["Packers", "49ers"]
af c = ["Ravens", "Patriots"]
print(nfc + afc) # ['Packers', '49ers', 'Ravens', 'Patriots']
print(str(1) + " world") # 1 world08 Numeric Comparisons
x = 2
if 3 > x > 1:
print(x) # 2
if 1 < x > 0:
print(x) # 209 Iterating Two Lists Simultaneously
nfc = ["Packers", "49ers"]
af c = ["Ravens", "Patriots"]
for teama, teamb in zip(nfc, afc):
print(teama + " vs. " + teamb)
# Packers vs. Ravens
# 49ers vs. Patriots10 Enumerating with Index
teams = ["Packers", "49ers", "Ravens", "Patriots"]
for index, team in enumerate(teams):
print(index, team)
# 0 Packers
# 1 49ers
# 2 Ravens
# 3 Patriots11 List Comprehension for Even Numbers
numbers = [1,2,3,4,5,6]
even = [n for n in numbers if n % 2 == 0]12 Dictionary Comprehension
teams = ["Packers", "49ers", "Ravens", "Patriots"]
print({key: value for value, key in enumerate(teams)})
# {'49ers': 1, 'Ravens': 2, 'Patriots': 3, 'Packers': 0}13 Initializing List Values
items = [0] * 3
print(items) # [0, 0, 0]14 Converting List to String
teams = ["Packers", "49ers", "Ravens", "Patriots"]
print(", ".join(teams))
# Packers, 49ers, Ravens, Patriots15 Getting Elements from a Dictionary
Use dict.get to provide a default value instead of a try/except block.
data = {"user": 1, "name": "Max", "three": 4}
is_admin = data.get("admin", False)16 Subsetting Lists
x = [1,2,3,4,5,6]
print(x[:3]) # [1,2,3]
print(x[1:5]) # [2,3,4,5]
print(x[3:]) # [4,5,6]
print(x[::2]) # [1,3,5]
print(x[1::2]) # [2,4,6]17 itertools Combinations
from itertools import combinations
teams = ["Packers", "49ers", "Ravens", "Patriots"]
for game in combinations(teams, 2):
print(game)
# ('Packers', '49ers')
# ('Packers', 'Ravens')
# ...18 False == True
Demonstrates that False and True are assignable global names, though doing so is discouraged.
False = True
if False:
print("Hello")
else:
print("World")
# Output: HelloArticle originally published by Python Programming Learning Circle (© original author).
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