🐍 Python Top Tricks & Hacks Every Coder Should Know 🚀
🐍 Python Top Tricks & Hacks Every Coder Should Know 🚀
Python is one of the most beloved programming languages in the world — not just because it’s easy to learn, but also because it hides powerful tricks and hacks under its hood. These little gems can make your code shorter, smarter, and more Pythonic. 💡
In this blog, we’ll uncover top Python tricks & hacks that will help you level up your coding game. Each trick comes with examples to make sure you can start using them right away. And don’t miss the Pro Bonus Tips at the end! 🔥

1️⃣ Multiple Variable Assignment in One Line ✍️
Instead of writing several lines, Python allows assigning multiple variables in one shot.
# Normal way
a = 10
b = 20
c = 30
# Pythonic way
a, b, c = 10, 20, 30
print(a, b, c) # Output: 10 20 30
✅ Cleaner, shorter, and great for readability.
2️⃣ Swapping Variables Without Temporary Variable 🔄
Forget the old-school temp
variable trick!
x, y = 5, 10
x, y = y, x
print(x, y) # Output: 10 5
👉 This is one of the simplest yet most loved Python tricks.
3️⃣ Using enumerate()
Instead of Range + Index 📊
When looping through lists, enumerate()
saves effort.
fruits = ["apple", "banana", "cherry"]
# Without enumerate
for i in range(len(fruits)):
print(i, fruits[i])
# With enumerate
for index, fruit in enumerate(fruits):
print(index, fruit)
🎯 Much cleaner and more Pythonic.
4️⃣ List Comprehensions: Write Short & Clean Loops ✨
Instead of writing multiple lines for loops, use list comprehensions.
# Normal loop
squares = []
for i in range(1, 6):
squares.append(i * i)
# List comprehension
squares = [i * i for i in range(1, 6)]
print(squares) # Output: [1, 4, 9, 16, 25]
🔥 Bonus: You can even add conditions inside comprehensions.
even_squares = [i*i for i in range(1, 11) if i % 2 == 0]
print(even_squares) # [4, 16, 36, 64, 100]
5️⃣ Dictionary Comprehensions 🗂️
Same as lists, but for dictionaries.
# Normal way
squares = {}
for i in range(1, 6):
squares[i] = i * i
# Dictionary comprehension
squares = {i: i * i for i in range(1, 6)}
print(squares) # {1: 1, 2: 4, 3: 9, 4: 16, 5: 25}
6️⃣ Using zip()
to Combine Lists 🤝
Want to pair two lists together? Use zip()
.
names = ["Alice", "Bob", "Charlie"]
scores = [85, 90, 95]
for name, score in zip(names, scores):
print(f"{name} scored {score}")
Output:
Alice scored 85
Bob scored 90
Charlie scored 95
📌 Super useful in data processing tasks.
7️⃣ Unpacking with*
and**
⭐
Python allows you to unpack lists/tuples easily.
numbers = [1, 2, 3, 4, 5]
You can also unpack dictionaries in functions:
def greet(name, age):
print(f"Hello {name}, you are {age} years old.")
person = {"name": "John", "age": 25}
greet(**person)
# Output: Hello John, you are 25 years old.
8️⃣ Usingany()
andall()
for Quick Checks ✅
Instead of writing loops, use these built-ins.
nums = [2, 4, 6, 8]
print(all(n % 2 == 0 for n in nums)) # True
print(any(n > 7 for n in nums)) # True
💡 all()
= All conditions true
💡 any()
= At least one condition true
9️⃣ The Power of collections.Counter
🔢
Count items in a list in seconds.
from collections import Counter
fruits = ["apple", "banana", "apple", "orange", "banana", "apple"]
count = Counter(fruits)
print(count)
# Output: Counter({'apple': 3, 'banana': 2, 'orange': 1})
🎯 Great for frequency analysis tasks.
🔟 Using f-strings
for Cleaner Formatting 📝
No need to mess with +
or .format()
.
name = "Lakhveer"
age = 25
print(f"My name is {name} and I am {age} years old.")
✨ Short, powerful, and readable.
🎁 Bonus Pro Tips for Python Coders 🚀
✅ Use virtual environments (venv
, pipenv
, or poetry
) to manage dependencies.
✅ Apply type hints (def func(x: int) -> str
) for cleaner and safer code.
✅ Learn decorators for reusable code functionality.
✅ Use with
context managers for safe file handling.
✅ Master generators for memory-efficient coding.
✨ Final Thoughts
Python is already powerful, but these tricks and hacks make it feel magical ✨. By writing clean, Pythonic code, you save time, reduce bugs, and impress others with your elegance.
🚀 Try using at least 2–3 of these hacks in your next project and see the difference!
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