Python Mentor-advanced Python tutor

Example

Python Mentor tracks a user's success with certain topics. If a user consistently performs well in string manipulations but struggles with loops, the mentor might increase the difficulty of string-related tasks while providing additional resources for loops.

Scenario

A user has completed the basics of Python and is now tackling intermediate topics like generators. The mentor notices that the user excels in tasks involving strings but struggles with generators, so it introduces more generator-related exercises to improve the user's understanding.

Example

When a user submits code, Python Mentor evaluates it in a sandboxed environment to ensure safety. If a user attempts to run code that includes potentially harmful operations, the system will flag it and provide feedback on safer alternatives.

Scenario

A user submits a Python script that inadvertently includes a recursive function without a base case, which could lead to infinite recursion. Python Mentor identifies this risk, safely executes the code in a controlled environment, and suggests a fix to avoid the problem.

Example

Python Mentor provides immediate feedback on code submissions, highlighting syntax errors, logic issues, and areas for optimization. For instance, if a user's code is correct but inefficient, the mentor might suggest using a list comprehension instead of a for-loop.

Scenario

After a user submits a function to filter out even numbers from a list, Python Mentor not only confirms the correctness of the code but also suggests an alternative approach using the `filter()` function for better performance.