Easy Level

1. Defining Variables and Data Types:
   • Question: In your own words, explain what a variable is in Python. Then, write two simple lines of code: one that assigns an integer to a variable and another that assigns a string. Use names and values that are meaningful to you.
2. String Concatenation:
   • Question: Describe what happens when you use the + operator between two strings in Python. Provide an example by writing a short code snippet that combines two pieces of text of your choice.

Medium Level

1. Arithmetic and Operator Precedence:

   • Question: Write a Python code snippet that computes the expression 10 + 2 * 3 and prints the result. Then, explain why the output is what it is, focusing on how Python’s operator precedence rules affect the calculation.

2. Input and Output with Type Conversion:

   • Question: Write a Python script that:

     • Prompts the user to enter their name and age.
     • Prints a message that welcomes the user and tells them what their age will be next year.

     Explain how your code handles converting the user’s input (which is initially a string) into a number for arithmetic operations.

3. Exploring String Formatting Methods:

   • Question: List and briefly describe three different methods for formatting strings in Python (for example, using %, .format(), and f-strings). For each method, include a short example and explain one scenario where you might prefer that method over the others.

Hard Level

1. The Role of Code Readability:
   • Question: Write an essay (around 300 words) on the importance of writing readable code, with special emphasis on the use of comments and consistent style. Include examples (real or hypothetical) of how well-commented code can ease maintenance and collaboration, and conversely, how poor documentation might lead to issues in a team project.
2. Dynamic Typing and Real-Life Adaptability:
   • Question: Python is known for its dynamic typing, meaning that variables can change types as a program runs. Describe a real-life scenario where adaptability is crucial. In your explanation, draw an analogy between this scenario and the concept of dynamic typing in Python. Provide a short code snippet that illustrates a variable changing its type during execution, and then reflect on how this flexibility can be both beneficial and challenging.

Bonus Task (Hardest)

1. Design Your Own Mini Project Outline:

   • Question: Create a detailed outline for a mini Python project that demonstrates your grasp of Python basics. Your outline should include:
     • Project Description: Explain what the project does and what problem it solves, using your own words.
     • Usage of Variables and Data Types: Describe how different data types and variables are utilized within your project.
     • Arithmetic and String Operations: Provide examples (in pseudocode or code snippets) of arithmetic calculations and string manipulations that are integral to the project.
     • Ensuring Readability: Outline your strategy for writing clean, readable code (including commenting practices, naming conventions, and code organization).
     • Personal Reflection: Conclude with a brief explanation of how this project reflects your learning journey and why you chose this particular project.

   Note: This task is open-ended and is intended to show your creativity and understanding. Make sure your answer is thorough and includes your unique perspective.

These exam questions are designed to encourage deep thinking and personalized answers. They cover all core topics of Python Basics and require reflective, human insight to answer thoroughly. Good luck!