Python Practice Problems – Frequently Asked Questions

Question 1

What kinds of Python problems are available?

Accepted Answer

PyDebug offers two main formats: bug-fixing problems, where broken Python code is shown and you must find and fix the error, and output-prediction questions, where you predict what a given snippet will print. Both train real debugging and code-reading skills.

Question 2

How do I filter problems by difficulty or topic?

Accepted Answer

Use the filters at the top of this page. You can filter by difficulty (easy, medium, hard), by topic (variables, loops, functions, lists, dictionaries, OOP, recursion, exceptions, and more), and by access level — free or premium problems.

Question 3

I am a beginner — where should I start?

Accepted Answer

Start with easy problems in topics you already know, like variables, strings, and lists. As you solve them, you earn XP and build a daily streak. When you are comfortable, move to medium and hard problems, or try the common Python errors guide to learn what each error means.

Question 4

Do I need an account to solve problems?

Accepted Answer

No. Guest mode lets you solve up to 5 problems per day without signing up. Creating a free account unlocks unlimited daily solves, saves your progress, tracks your XP and streak, and lets you appear on the leaderboard.

Question 5

How do hints and XP work?

Accepted Answer

Each correct first-time solve earns XP. If you get stuck, hints can guide you toward the answer. Every hint on every problem is free for signed-in learners — one click each, no tasks and no ads. Your streak grows by one for every consecutive day you solve at least one problem.

Question 6

Are these problems useful for interview preparation?

Accepted Answer

Yes. Bug-fixing and output-prediction questions appear frequently in Python interviews. Practicing them improves your ability to read code quickly, spot off-by-one errors, understand scope and mutability, and explain what a program does — exactly what interviewers test.

Problems

Practice at your pace

Using = instead of == in a condition

*args used incorrectly

Calling a function before defining it

Missing Colon in for Loop

Wrong quote type breaks the string

Missing colon after function definition

Calling a method that doesn't exist

Recursion with a base case that's never reached

Looping one step too far

Converting text that isn't a number

Mixing text and numbers in print

Calling a function with too few arguments

Decorator swallows the arguments

Using = instead of == in a check

Wrong syntax for adding a new key

Trying to index into a set

Trying to modify a tuple

Class method missing cls

Inconsistent indentation

Modifying a variable before it's assigned locally

Deleting a key that doesn't exist

Wrong function to find list length

Missing indentation after if

Accessing a missing dictionary key