考纲要点

Based on Cambridge 9618 syllabus — Section 10.2: Arrays

Syllabus Objectives

#	Objective	Exam Frequency
1	Declare and initialise 1D arrays — fixed-size, any data type	High
2	Declare and initialise 2D arrays — fixed-size, any data type	Medium
3	Read data into an array from user input and from file	High
4	Traverse a 1D array using a loop	Very High
5	Traverse a 2D array using nested loops	Medium
6	Perform calculations on array elements (sum, average, max, min, count)	High
7	Search for a value in an array (linear search)	Medium
8	Use arrays with functions and procedures (passing arrays as parameters)	Medium
9	Understand 0-based indexing in Python arrays	High
10	Understand that arrays are mutable — elements can be updated	Medium

Key Syllabus Requirements

10.2.1 — 1D Arrays

Candidates should be able to:

• Declare a 1D array using list syntax: ArrayName = [0] * N
• Initialise all elements to a given value
• Access individual elements using index notation: ArrayName[i]
• Traverse using for i in range(len(ArrayName))

10.2.2 — 2D Arrays

Candidates should be able to:

• Declare a 2D array: ArrayName = [[0] * C for i in range(R)]
• Access elements: ArrayName[row][col]
• Traverse using nested for loops
• Distinguish between row-major and column-major traversal

10.2.3 — Arrays in Functions

Candidates should be able to:

• Pass arrays as parameters to functions
• Understand that arrays are passed by reference in Python
• Use global keyword when necessary

What the Syllabus Does NOT Require

• Sorting algorithms (covered in Algorithm topic)
• Dynamic arrays beyond simple append()
• Advanced list methods (insert, pop, remove with index) — but they may appear in mark schemes
• Multi-dimensional arrays beyond 2D
• Array slicing (Arr[1:3]) — generally not examined