9 Python Coding Boosters to Level Up Your Workflow

 

1 Use F-srtings for cleaner printing

name="Alice"
age=25
print(f"My name is {name} and I am {age}  years old.")

#source code --> clcoding.com 

Output: 

My name is Alice and I am 25  years old.


2 Use comprehension for one line loops

nums=[1,2,3,4,5]
squares=[n**2 for n in nums]
print(squares)

#source code --> clcoding.com 
Output: 
[1, 4, 9, 16, 25]

3 Use enumerate() for indexed loop

items=["apple","banana","cherry"]
for i,item in enumerate(items):
    print(i,item)

#source code --> clcoding.com 
Output: 
0 apple
1 banana
2 cherry

4. Use zip() to combine multiple list
names=["Alice","Bob","Charlie"]
scores=[90,85,88]
for name,score in zip(names,scores):
    print(name,score)
#source code --> clcoding.com 
Output: 
Alice 90
Bob 85
Charlie 88

5. Dictionary comprehension for quick mapping
nums=[1,2,3,4]
squares={n: n**2 for n in nums}
print(squares)

#source code --> clcoding.com 
Output: 
{1: 1, 2: 4, 3: 9, 4: 16}

6. Use get() to access dictionary keys

user={"name": "Alice"}
print(user.get("age","Not provided"))
     
#source code --> clcoding.com 
Output: 
Not provided

7. Unpack list or tuples easily
data=(10,20,30)
a,b,c =data
print(a,b,c)

#source code --> clcoding.com 
Output: 
10 20 30

8. Use context manager to handle file automatically
with open("example.txt", "w") as f:
    f.write("Hello, Python!")

with open("example.txt", "r") as f:
    content = f.read()

print(content)
  
#source code --> clcoding.com
Output: 
Hello, Python!
9. args and kwargs for flexible function
def info(*args,**kwargs):
    print("Args:",args)
    print("Kwargs:",kwargs)
info("Python", version=3.11,mode="Fast")

#source code --> clcoding.com 
Output: 
Args: ('Python',)
Kwargs: {'version': 3.11, 'mode': 'Fast'}