Global optimization (differential_evolution) in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the differential_evolution function from scipy.optimize.

SciPy

from scipy.optimize import [1]

result = differential_evolution(lambda x: x**2, [(-5, 5)])
print(result.fun)

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

Aminimize

Broot

Cdifferential_evolution

Dcurve_fit

Attempts:

3 left

💡 Hint

Common Mistakes

Importing the wrong function like minimize or root.

Forgetting to import from scipy.optimize.

The differential_evolution function is imported from scipy.optimize to perform global optimization.

2fill in blank

medium

Complete the code to define the bounds for the variable x in the differential evolution optimizer.

SciPy

bounds = [[1]]
result = differential_evolution(lambda x: (x[0]-3)**2, bounds)
print(result.x)

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

A(-5, 5)

B(0, 1)

C(-10, 10)

D(1, 4)

Attempts:

3 left

💡 Hint

Common Mistakes

Using a tuple instead of a list of tuples.

Choosing bounds that do not include the minimum.

The bounds define the search space for the variable x. Here, (-5, 5) allows the optimizer to search between -5 and 5.

3fill in blank

hard

Fix the error in the code by completing the blank with the correct attribute to get the minimum value found.

SciPy

result = differential_evolution(lambda x: (x[0]+1)**2, [(-3, 3)])
minimum_value = result.[1]
print(minimum_value)

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Amessage

Bsuccess

Cx

Dfun

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'x' instead of 'fun' to get the minimum value.

Using 'success' or 'message' which are status indicators.

The fun attribute of the result object holds the minimum value of the function found by the optimizer.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each number to its square only if the number is greater than 2.

SciPy

squares = {x: x[1]2 for x in range(1, 6) if x [2] 2}
print(squares)

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A**

B>

C<

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using '*' instead of '**' for squaring.

Using '<' instead of '>' in the condition.

The operator ** is used for exponentiation (square), and > filters numbers greater than 2.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps each word in the list to its length only if the length is greater than 3.

SciPy

lengths = { [1]: [2] for word in words if len(word) [3] 3}
print(lengths)

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

Aword

Blen(word)

C>

Dword.upper()

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'word.upper()' as key instead of 'word'.

Using '<' instead of '>' in the condition.

The dictionary maps each word to its len(word) only if the length is greater than 3.