JOB READY CHALLENGE

Can you debug this Python code? 🐍

You’re working on a data-processing script, but it crashes when the API returns incomplete data.

users = [
{"name": "Rahul", "age": 25},
{"name": "Priya"},
{"name": "Aman", "age": 22}
]

for user in users:
print(user["name"], user["age"])

🎯 Your Challenge:

Fix the code so that it prints every user's name and age without throwing an error.

Bonus: Handle missing ages by displaying "Not Available".

💡 Interview Tip:

Don't just write code that works. Be ready to explain WHY the error occurs and HOW your solution handles missing data.

⏱️ Time Limit: 5 minutes

👇 Drop your solution in the comments!

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Can you optimize this Python code? 🐍

You’re processing a list of numbers, but the code is doing more work than necessary.

numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

even_numbers = []

for num in numbers:
if num % 2 == 0:
even_numbers.append(num)

🎯 Your Challenge:

Rewrite this code to make it shorter and cleaner without changing the output.

💡 Hint: Python has a built-in way to create lists more efficiently.

Bonus: Can you do it in one line?

🧠 Interview Tip:
Optimization isn't always about fewer lines. Be ready to explain why your solution is cleaner and when you would use it.

⏱️ Time Limit: 5 minutes

👇 Drop your optimized solution in the comments!

#JobReadyChallenge #Python #CodingChallenge #CodeOptimization #TechInterview #Programming #EdTech #HCLGUVI