Programming

Important Exam Information

• Content:

  • All lesson content included in the exam.

  • Log in to SNAP to check venue and seat number.

• Preparation Advice:

  • Ensure laptop is in good working condition with adequate storage and memory space.

  • It is permitted to use Jupyter Notebook during the exam to test code.

  • Organize notes and have lesson summaries (especially Lesson 26) readily available.

Self-Assessment Paper Structure

• Format:

  • Section A: Multiple Choice Questions

  • Section B: Fill in the blanks

  • Section C: Essay coding

Coding Questions Explanation

• Python Basics:

  • Use correct string methods (e.g., len, find) from respective lessons.

Sample Coding Questions:

1. Question on String Methods:

   • Determine the length of a string:

     • Answer: len() returns the length.

2. Find method:

   • The find() method returns the lowest index of the first occurrence; returns -1 if not found.

3. Use of break statement:

   • It stops the current loop immediately.

Data Handling: NumPy and Pandas

• Pandas DataFrame Definition:

  • Use square brackets and the column name to select columns in a DataFrame.

• Cleaning Data:

  • For missing values, remember to use dropna() and droppeduplicate() for duplicates.

Preparing for Open Book Exam

• Suggested to have all Jupyter Notebook files and lesson notes ready during the exam for quick reference.

Python Programming Questions

Common Concepts Discussed:

1. Loops and Conditional Statements:

   • Use for loops to iterate over elements.

   • Understand nested conditions and check inputs using the 'if-else' structure.

2. Functions:

   • User-defined functions using the def keyword.

3. Random Choices:

   • Using random.choice() for selecting items from a list or array.

Data Visualization with Matplotlib

• Always import matplotlib.pyplot as plt for plotting.

• To customize plots, use plt.title(), plt.xlabel(), and plt.ylabel().

• For line plots, use plt.plot() and ensure to specify x and y axis data correctly.