First SciPy computation - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the SciPy library.

SciPy

import [1]

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

Ascipy

Bnumpy

Cpandas

Dmatplotlib

Attempts:

3 left

💡 Hint

Common Mistakes

Importing numpy instead of scipy

Forgetting to import the library

Using incorrect library names

We use import scipy to bring the SciPy library into our program.

2fill in blank

medium

Complete the code to calculate the mean of the array using SciPy.

SciPy

from scipy import stats

data = [1, 2, 3, 4, 5]
mean_value = stats.[1](data).mean

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

Amedian

Bdescribe

Cvariance

Dmode

Attempts:

3 left

💡 Hint

Common Mistakes

Using mode or median which do not return mean directly

Trying to call mean on a list

Using variance which returns variance, not mean

The describe function returns descriptive statistics including the mean.

3fill in blank

hard

Fix the error in the code to compute the Euclidean distance between two points using SciPy.

SciPy

from scipy.spatial import distance

point1 = (1, 2)
point2 = (4, 6)
dist = distance.[1](point1, point2)

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

Ahamming

Bcosine

Cmanhattan

Deuclidean

Attempts:

3 left

💡 Hint

Common Mistakes

Using cosine which measures angle similarity

Using manhattan which sums absolute differences

Using hamming which counts differing bits

The euclidean function computes the straight-line distance between two points.

4fill in blank

hard

Fill both blanks to create a dictionary of word lengths for words longer than 3 characters.

SciPy

words = ['apple', 'bat', 'carrot', 'dog']
lengths = {word: [1] for word in words if len(word) [2] 3}

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

Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using word instead of len(word) for value

Using less than instead of greater than in condition

Not filtering words by length

We use len(word) to get the length and filter words with length greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase words and their lengths for words longer than 3 characters.

SciPy

words = ['apple', 'bat', 'carrot', 'dog']
result = { [1]: [2] for w in words if len(w) [3] 3}

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

Aw.upper()

Blen(w)

C>

Dw.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase instead of uppercase for keys

Not filtering words by length

Using word instead of length for values

The dictionary keys are uppercase words using w.upper(), values are lengths, and we filter words longer than 3.

Practice

1. What is the main purpose of the SciPy library in Python?

easy

A. To manage databases

B. To create web applications

C. To perform scientific and mathematical computations easily

D. To design user interfaces

Solution

1. Step 1: Understand SciPy's role

   SciPy is designed for scientific and mathematical computations. Options for managing databases, creating web applications, and designing user interfaces do not match.

2. Final Answer:

   To perform scientific and mathematical computations easily -> Option C

3. Quick Check:

   SciPy = scientific math library [OK]

Hint: SciPy is for science and math, not web or UI [OK]

Common Mistakes:

• Confusing SciPy with web frameworks
• Thinking SciPy manages databases
• Assuming SciPy is for UI design

2. Which of the following is the correct way to import the SciPy square root function?

easy

A. from scipy import sqrt

B. from scipy.special import sqrt

C. from scipy import math.sqrt

D. from scipy import sqrt as sp_sqrt

Solution

1. Step 1: Recall SciPy import syntax

   sqrt is in scipy.special, so from scipy.special import sqrt works. Direct from scipy import sqrt fails as sqrt is not in top-level scipy (A,D); math.sqrt is separate module (B).

2. Final Answer:

   from scipy.special import sqrt -> Option B

3. Quick Check:

   from scipy.special import sqrt [OK]

Hint: Use scipy.special for sqrt [OK]

Common Mistakes:

• Importing sqrt directly from scipy
• Using incorrect module paths
• Trying to import math.sqrt from scipy

3. What is the output of this code?

import numpy as np
from scipy import special
x = np.array([0, 1, 2])
y = special.expit(x)
print(y)

medium

A. [0.5 0.73105858 0.88079708]

B. [1. 2. 7.3890561]

C. [0. 1. 2.]

D. [0. 0.5 0.75]

Solution

1. Step 1: Understand special.expit function

   special.expit computes sigmoid 1 / (1 + exp(-x)): sigmoid(0)=0.5, sigmoid(1)≈0.73105858, sigmoid(2)≈0.88079708 matching [0.5 0.73105858 0.88079708].

2. Final Answer:

   [0.5 0.73105858 0.88079708] -> Option A

3. Quick Check:

   sigmoid([0,1,2]) = [0.5 0.73105858 0.88079708] [OK]

Hint: expit = sigmoid function, check values at 0,1,2 [OK]

Common Mistakes:

• Confusing expit with exponential
• Expecting raw input array as output
• Mixing up output with other functions

4. Identify the error in this code snippet:

from scipy import sqrt
result = sqrt(16)
print(result)

medium

A. print statement syntax is incorrect

B. sqrt function requires two arguments

C. Missing numpy import for sqrt

D. sqrt is not directly in scipy, import from scipy.special

Solution

1. Step 1: Check import correctness

   sqrt is not in top-level scipy (needs scipy.special); function takes one argument; no numpy required; print is correct.

2. Final Answer:

   sqrt is not directly in scipy, import from scipy.special -> Option D

3. Quick Check:

   Import path error = sqrt is not directly in scipy, import from scipy.special [OK]

Hint: sqrt is in scipy.special, not scipy directly [OK]

Common Mistakes:

• Assuming sqrt is in scipy root module
• Thinking sqrt needs multiple arguments
• Confusing print syntax with Python 2

5. You want to compute the Bessel function of the first kind for values [0, 1, 2] using SciPy. Which code snippet correctly does this?

hard

A. from scipy.special import jv
import numpy as np
x = np.array([0,1,2])
result = jv(0, x)
print(result)

B. import scipy
x = [0,1,2]
result = scipy.bessel(0, x)
print(result)

C. from scipy import bessel
x = [0,1,2]
result = bessel.jv(0, x)
print(result)

D. from scipy.special import jn
x = [0,1,2]
result = jn(x, 0)
print(result)

Solution

1. Step 1: Identify correct function and import

   Bessel function of first kind: jv(order, x) from scipy.special. Code with from scipy.special import jv, np.array x, jv(0, x) works; others have wrong imports/functions/arguments.

2. Final Answer:

   from scipy.special import jv import numpy as np x = np.array([0,1,2]) result = jv(0, x) print(result) -> Option A

3. Quick Check:

   jv(0, x) from scipy.special [OK]

Hint: Use jv(order, x) from scipy.special for Bessel function [OK]

Common Mistakes:

• Using wrong function names like bessel or jn incorrectly
• Swapping arguments order in jn or jv
• Not importing numpy for array input