Linear programming (linprog) in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the linear programming function from scipy.

SciPy

from scipy.optimize import [1]

result = linprog(c=[-1, 4], A_ub=[[2, 1], [1, 2]], b_ub=[20, 20])

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

Alinopt

Bminimize

Clinprog

Doptimize

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'minimize' instead of 'linprog'.

Trying to import from a wrong module.

The function linprog is used for linear programming in scipy.optimize.

2fill in blank

medium

Complete the code to define the objective function coefficients for minimization.

SciPy

c = [1]

result = linprog(c, A_ub=[[1, 2], [3, 1]], b_ub=[4, 3])

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A[1, 2]

B[0, 0]

C[2, 3]

D[-1, 4]

Attempts:

3 left

💡 Hint

Common Mistakes

Using positive coefficients when the problem requires minimization of negative values.

Using zeros which do not represent the objective.

The coefficients c define the objective function to minimize. Negative values can represent maximization by minimizing the negative.

3fill in blank

hard

Fix the error in the code by completing the missing inequality matrix.

SciPy

A_ub = [1]

result = linprog(c=[-1, 4], A_ub=A_ub, b_ub=[20, 20])

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A[[1, 2], [3, 1]]

B[[2, 1], [1, 2]]

C[[1, 1], [2, 2]]

D[[0, 1], [1, 0]]

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect matrices that do not match the constraints.

Confusing A_ub with A_eq.

The matrix A_ub defines the coefficients for inequality constraints. The correct matrix matches the problem constraints.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths if length is greater than 3.

SciPy

words = ['data', 'ai', 'science', 'ml']
lengths = { [1] : [2] for word in words if len(word) > 3 }

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Aword

Blen(word)

Cword.upper()

Dlen

Attempts:

3 left

💡 Hint

Common Mistakes

Using the length as key and word as value.

Using functions instead of values.

The dictionary comprehension uses the word as key and its length as value.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their lengths if length is greater than 3.

SciPy

words = ['data', 'ai', 'science', 'ml']
lengths = { [1] : [2] for word in words if len(word) [3] 3 }

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

Aword.upper()

Blen(word)

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase words as keys.

Using incorrect comparison operators.

The dictionary comprehension maps the uppercase word to its length, filtering words longer than 3 characters.