Python

Multiple Choice

Why is mastering advanced Python concepts important for AI and machine learning development?

• Because Python is the only language used in AI

• To write clean, modular, and production-ready code for ML pipelines

• Because Python is easy to learn

• To avoid using other programming languages

Open Ended

How can applying clean coding principles benefit your work in AI projects?

Multiple Choice

Which of the following is NOT a reason why Python is popular for AI development?

• Rich library ecosystem

• Clean, readable syntax

• Limited community support

• Interactive development

Open Ended

What are the four main data types in Python, and give an example of each?

Multiple Select

Which of the following are common use cases for Python lists in AI?

• Store feature vectors and embeddings

• Hold training/test data splits

• Store model predictions and labels

• Store only string values

Fill in the Blank

In Python, the code 'for epoch in range(10): train_model()' is an example of a ___ loop.

Open Ended

How does list comprehension improve code efficiency compared to traditional for loops in Python?

Multiple Choice

Which string method would you use in Python to remove leading and trailing whitespace from a string?

• lower()

• strip()

• split()

• replace()

Multiple Choice

What are the main advantages of writing modular code as shown in the 'AFTER: Modular Function' example compared to the 'BEFORE: Repeated Code' example?

• It reduces code duplication and bug risk.

• It makes code harder to test.

• It requires more lines of code.

• It makes code less maintainable.

Open Ended

Describe how modular code and reusable utility functions (as seen in slides 0 and 1) contribute to easier testing and maintenance in software projects.

Multiple Choice

How do shared metric utilities, as described in the 'From Scripts to Reusable AI Utilities' slide, help in machine learning projects?

• They make code less readable.

• They reduce bugs when comparing different models.

• They increase the need for repeated code.

• They make it harder to document code.

Fill in the Blank

Fill in the blank: In Python, the keyword used to define a function is ___

Multiple Choice

Which of the following are best practices when defining function parameters in Python?

• Put required parameters first, optional parameters with defaults last.

• Always use only positional arguments.

• Never use default values.

• Put optional parameters first.

Open Ended

Explain how the use of *args and **kwargs can improve the flexibility of function signatures in Python. Provide an example scenario where this would be beneficial.

Multiple Choice

Which of the following is NOT a recommended way to return results from a function in Python, as shown in the image?

• Returning a single value

• Returning multiple values as a tuple

• Returning a dictionary with named results

• Returning results using print statements

Fill in the Blank

Fill in the blank: According to the LEGB rule, Python searches for variables in the following order: Local → Enclosing → ___ → Built-in.

Open Ended

Explain the difference between local and global variable scope in Python, and why it is considered best practice to avoid global variables.

Multiple Select

Which of the following are benefits of documenting functions with docstrings, as described in the image?

• Helps team collaboration

• Auto-generates API docs

• Slows down code execution

• Easier maintenance

Open Ended

Give an example of how a higher-order function can be used to process a list of numbers in Python. Explain your reasoning.

Multiple Choice

Which of the following is NOT a common use case for decorators, based on the image?

• Timing/profiling functions

• Logging function calls

• Sorting lists

• Authentication checks

Multiple Choice

Which of the following is NOT a recommended engineering practice when designing a reusable data_utils module?

• Keep I/O separate from transforms

• Return new DataFrames

• Use implicit column names

• Use explicit column names

Multiple Select

Which of the following characteristics apply to Python lambda functions?

• Can contain multiple statements

• Implicit return without the return keyword

• Best for simple, one-time operations

• Can include if/for blocks inside

Multiple Choice

What is the result of applying the following code? numbers = [1, 2, 3, 4, 5] squared = list(map(lambda x: x**2, numbers)) Choose the correct output.

• [1, 2, 3, 4, 5]

• [2, 4, 6, 8, 10]

• [1, 4, 9, 16, 25]

• [1, 8, 27, 64, 125]

Fill in the Blank

Fill in the blank: The pandas .apply() method can be used to apply a function to each element of a Series or each ___ of a DataFrame.

Open Ended

Describe the difference between column-wise and row-wise operations using .apply() in pandas DataFrames. When would you use each?

Open Ended

Explain how lambda functions and the .apply() method can be used together to clean and transform data in a pandas DataFrame. Provide an example scenario.

Open Ended

Reflecting on the week's lessons, how do you think mastering modular and reusable functions can benefit your future AI projects?

Multiple Choice

What are some key Python concepts that are essential for AI development, as highlighted in the Python Review session?

• List comprehensions, modular code, and clean coding principles

• Web development frameworks and APIs

• Mobile app development tools

• Game development libraries