item	description
Autograded Score	5 out of 5 (100.0%)
Autograded Test Cases	Passed 2 out of 2 cases
Pending Test Cases	⌛ 1 item worth a total of 5 points require manual grading
Total Available Points	10
Filename	sample-submission-01.ipynb
Autograder Finished At	2025-04-06 03:46 AM CDT
Autograder Duration	2.68 seconds
Test Cases Checksum	406ec253731104e60ea382be8df6fc47
Submission File Checksum	0b41888ca4121f2ddd9824369d5e8776
Autograder Python Version	Python 3.12.5
Autograder Platform	Windows-11-10.0.26100-SP0
Jupygrader Version	0.2.8

Test Case Results

	test_case_name	learner_score	max_score	did_pass	message
0	calculate-odd-sum	2	2	✔️ Pass
1	calculate-odd-product	3	3	✔️ Pass
2	free-response-question	Pending	5	⌛ Requires manual grading

---

Challenge 1

Calculate the sum of odd numbers in my_list1 and store it to a new variable named odd_sum .

my_list1 = [1, 2, 3, 4, 5]

# YOUR CODE BEGINS
odd_sum = 0
for x in my_list1:
    if x % 2 != 0:
        odd_sum += x
# YOUR CODE ENDS

# Code Generated by Jupygrader
try:
    _did_pass = True
    _message = ''
    _test_case = "calculate-odd-sum"
    _points = 2

    assert odd_sum == 9
except BaseException as ex:
    _did_pass = False
    _message = type(ex).__name__ + ': ' + str(ex)
    raise
finally:
    _record_test_case(_test_case, _did_pass, _points, _message)

Challenge 2

Calculate the product of all odd numbers in my_list2 and store the result in a new variable named odd_product .

my_list2 = [1, 2, 3, 4, 5]

# YOUR CODE BEGINS
odd_product = 1
for x in my_list2:
    if x % 2 != 0:
        odd_product *= x
# YOUR CODE ENDS

# Code Generated by Jupygrader
try:
    _did_pass = True
    _message = ''
    _test_case = "calculate-odd-product"
    _points = 3

    assert odd_product == 15
except BaseException as ex:
    _did_pass = False
    _message = type(ex).__name__ + ': ' + str(ex)
    raise
finally:
    _record_test_case(_test_case, _did_pass, _points, _message)

Challenge 3 (Manually Graded)

In a markdown cell, discuss why Python is an easy language for beginners to learn.

• Python's syntax is close to natural language, making it easier to understand.
• No need to compile before running the code; you can execute scripts directly.
• Python has a built-in library for everything from handling files to web development.

# Code Generated by Jupygrader
_did_pass = None
_message = ''
_test_case = "free-response-question"
_points = 5
_grade_manually = True


_record_test_case(_test_case, _did_pass, _points, _message, _grade_manually)

•