10 Essential Python Tips to Write Better Code

Python is a simple, popular, and easy‑to‑understand language, but there are many ways to improve the quality of your code. This guide shares ten useful tips.

1. Link Operations

When filtering candidates for a recruitment system, you can combine multiple conditions into a single if statement using logical operators, making the code more concise.

2. Formatting Large Numbers

Using underscores in numeric literals (e.g., 245_645_6987 ) improves readability, and Python treats them as valid numbers.

3. Inline Conditionals

Inline conditionals simplify one‑line decisions. Example:

x = 5
if x==5: print('x equals 5')
for i in range(x+5): print(i)

Another example with a simple assignment:

condition = True
if condition: x=1
else: x=0

Using the ternary operator:

condition = True
x = 1 if condition else 0

Inline expressions can also be used in lambda functions:

check = lambda x: True if x%5==0 else False
check(10)  ## True
check(12)  ## False

4. List Comprehensions

List comprehensions provide a compact way to create lists in a single line:

new_list = [expression for item in iterable if conditional]

5. f‑Strings

Python 3’s f‑strings embed expressions directly in string literals, improving readability.

name = 'Abhay'
age = 20

Various ways to format output:

print("Hey This is ", name, "and I am ", age)  ## concatenation with commas
print("Hey This is " + name + " and I am " + str(age))  ## string concatenation
print("Hey This is {} and I am {}".format(name, age))
print(f"Hey This is {name} and I am {age}")

6. Enumerate

The enumerate function returns both index and value while iterating, useful for data cleaning and re‑ordering.

for index, value in enumerate(iterable):
    print(index, value)

7. Argument Unpacking

Python allows unpacking of iterables into separate variables in a single line. For example, separating names, ages, and emails from a list of records.

8. Returning Multiple Values from Functions

Functions can return multiple values as tuples, enabling easy extraction of related data such as product name, price, and link.

9. One‑Liners and Packages

Python’s one‑liner capability lets you accomplish tasks with a single concise statement, reducing boilerplate code and improving productivity.

10. Comments

Writing clear comments helps both you and your team understand code flow and intent, leading to better maintenance and collaboration.