Why advanced methods solve complex problems in SciPy - Test Your Understanding

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

Bpandas

Cmatplotlib

Dnumpy

Attempts:

3 left

💡 Hint

Common Mistakes

Importing numpy instead of scipy

Importing pandas which is for data frames

Importing matplotlib which is for plotting

We import scipy to use its advanced scientific computing functions.

2fill in blank

medium

Complete the code to use the root finding function from SciPy.

SciPy

from scipy.optimize import [1]

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

Acurve_fit

Bminimize

Croot

Dlinprog

Attempts:

3 left

💡 Hint

Common Mistakes

Using minimize which is for optimization

Using curve_fit which is for fitting curves

Using linprog which is for linear programming

The root function is used to find roots of equations, which is an advanced method to solve complex problems.

3fill in blank

hard

Fix the error in the function call to find the root of f(x) = x^2 - 4.

SciPy

result = root(lambda x: x[1]2 - 4, 1.0)

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A**

B+

C*

D-

Attempts:

3 left

💡 Hint

Common Mistakes

Using * which means multiplication

Using + which adds numbers

Using - which subtracts numbers

The operator ** is used for exponentiation in Python, so x**2 means x squared.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps numbers to their square roots if the number is positive.

SciPy

roots = {x: x[1]0.5 for x in range(-2, 3) if x [2] 0}

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

A**

B>

C<

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using '*' instead of '**' for power

Using '<' instead of '>' for positive check

We use ** to calculate the square root (power 0.5) and > to check if the number is positive.

5fill in blank

hard

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

SciPy

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

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

B>

D.upper()

Attempts:

3 left

💡 Hint

Common Mistakes

Putting extra characters in the first blank

Using '<' instead of '>' for length comparison

The first blank is empty because the syntax is {key: value}. The second and third blanks use '>' to check if length is greater than 3.