MATLAB vs Python vs R comparison - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a vector of numbers from 1 to 5 in MATLAB.

MATLAB

vec = [1];

Drag options to blanks, or click blank then click option'

A[1 5]

B1:5

Crange(1,5)

Dseq(1,5)

Attempts:

3 left

💡 Hint

Common Mistakes

Using Python or R syntax like range() or seq() instead of MATLAB colon operator.

In MATLAB, the colon operator 1:5 creates a vector from 1 to 5.

2fill in blank

medium

Complete the Python code to create a list of numbers from 1 to 5.

MATLAB

lst = list(range(1, [1]))

Drag options to blanks, or click blank then click option'

A1,6

B5

C1,5

D6

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing range parameters or using R or MATLAB syntax.

In Python, range(1,6) generates numbers from 1 to 5. The blank is the exclusive end parameter, so use 6.

3fill in blank

hard

Fix the error in this R code to create a sequence from 1 to 5.

MATLAB

seq_vec <- [1](1, 5)

Drag options to blanks, or click blank then click option'

Aseq

Brange

Clist

Dvector

Attempts:

3 left

💡 Hint

Common Mistakes

Using range instead of seq in R.

In R, seq(1, 5) creates a sequence from 1 to 5. The function range returns min and max, not a sequence.

4fill in blank

hard

Fill both blanks to create a 3x3 identity matrix in MATLAB and Python.

MATLAB

mat_matlab = [1](3);
mat_python = np.[2](3)

Drag options to blanks, or click blank then click option'

Aeye

Bidentity

Cones

Dzeros

Attempts:

3 left

💡 Hint

Common Mistakes

Using ones or zeros instead of identity matrix functions.

In MATLAB, eye(3) creates a 3x3 identity matrix. In Python with NumPy, np.identity(3) does the same.

5fill in blank

hard

Fill all three blanks to calculate the mean of a vector in MATLAB, Python, and R.

MATLAB

mean_matlab = [1](vec);
mean_python = statistics.[2](vec)
mean_r <- [3](vec)

Drag options to blanks, or click blank then click option'

Amean

Dmedian

Attempts:

3 left

💡 Hint

Common Mistakes

Using median instead of mean.

All three languages use mean function to calculate the average of a vector.

Practice

1. Which language is primarily designed for engineering and mathematical computations?

easy

A. R

B. Python

C. MATLAB

D. Java

Solution

1. Step 1: Understand the main purpose of MATLAB

   MATLAB is created mainly for engineering and math tasks, making it ideal for numerical computations.

2. Step 2: Compare with other languages

   Python is general-purpose, and R focuses on statistics, so they are not primarily for engineering math.

3. Final Answer:

   MATLAB -> Option C

4. Quick Check:

   Engineering math = MATLAB [OK]

Hint: MATLAB = math and engineering focus [OK]

Common Mistakes:

• Confusing Python as engineering-specific
• Thinking R is for engineering
• Choosing Java which is unrelated here

2. Which of the following is the correct way to create a list in Python?

easy

A. list = {1, 2, 3}

B. list = (1, 2, 3)

C. list = <1, 2, 3>

D. list = [1, 2, 3]

Solution

1. Step 1: Recall Python list syntax

   Python lists use square brackets [] to hold ordered elements.

2. Step 2: Check each option

   list = [1, 2, 3] uses square brackets, correct for lists. Curly braces {1, 2, 3} create a set, parentheses (1, 2, 3) create a tuple, and <1, 2, 3> is invalid syntax.

3. Final Answer:

   list = [1, 2, 3] -> Option D

4. Quick Check:

   Python list = [] [OK]

Hint: Python lists use square brackets [] [OK]

Common Mistakes:

• Using parentheses () for lists
• Using curly braces {} for lists
• Using invalid angle brackets

3. What will be the output of this R code snippet?

nums <- c(1, 2, 3, 4)
mean_val <- mean(nums)
print(mean_val)

medium

A. 2.5

B. 2

C. 3

D. Error

Solution

1. Step 1: Understand the R code

   The vector nums contains 1, 2, 3, 4. The mean() function calculates the average.

2. Step 2: Calculate the mean

   (1 + 2 + 3 + 4) / 4 = 10 / 4 = 2.5

3. Final Answer:

   2.5 -> Option A

4. Quick Check:

   Mean of 1,2,3,4 = 2.5 [OK]

Hint: mean() in R calculates average [OK]

Common Mistakes:

• Calculating sum instead of mean
• Using integer division
• Expecting syntax error

4. Identify the error in this MATLAB code snippet:

arr = [1, 2, 3, 4];
for i = 1:5
    disp(arr(i))
end

medium

A. Index exceeds array bounds error

B. Syntax error in for loop

C. disp function undefined

D. No error, code runs fine

Solution

1. Step 1: Analyze the loop range and array size

   Array arr has 4 elements, but loop runs from 1 to 5.

2. Step 2: Understand MATLAB indexing

   Accessing arr(5) causes 'Index exceeds array bounds' error because arr only has 4 elements.

3. Final Answer:

   Index exceeds array bounds error -> Option A

4. Quick Check:

   Loop exceeds array size = Index error [OK]

Hint: Loop index must not exceed array length [OK]

Common Mistakes:

• Assuming MATLAB allows out-of-bounds indexing
• Thinking disp is undefined
• Believing for loop syntax is wrong

5. You want to analyze a dataset with many statistical tests and create plots easily. Which language is best suited for this task?

hard

A. MATLAB

B. R

C. Python

D. C++

Solution

1. Step 1: Identify the task requirements

   The task involves many statistical tests and easy plotting.

2. Step 2: Match language strengths

   R is specialized for statistics and data visualization, making it ideal for this task.

3. Step 3: Compare other options

   MATLAB is more engineering-focused, Python is general-purpose, and C++ is low-level and less suited for quick stats and plots.

4. Final Answer:

   R -> Option B

5. Quick Check:

   Statistics and plotting = R [OK]

Hint: R specializes in stats and plotting [OK]

Common Mistakes:

• Choosing MATLAB for stats
• Picking Python without stats libraries
• Selecting C++ for quick analysis