Machine Learning with Python

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These questions are taken from the book "Python Workout 2025"

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1. What will be the output of the following code?

def add_item(item, lst=None):
    if lst is None:
        lst = []
    lst.append(item)
    return lst

print(add_item(1))
print(add_item(2))

A. [1] then [2] B. [1] then [1, 2] C. [] then [] D. Raises TypeError Correct answer: A. 2. What is printed by this code?

x = 10
def func():
    print(x)
    x = 5

func()

A. 10 B. 5 C. None D. UnboundLocalError Correct answer: D. 3. What is the result of executing this code?

a = [1, 2, 3]
b = a[:]
a.append(4)
print(b)

A. [1, 2, 3, 4] B. [4] C. [1, 2, 3] D. [] Correct answer: C. 4. What does the following expression evaluate to?

bool("False")

A. False B. True C. Raises ValueError D. None Correct answer: B. 5. What will be the output?

print(type({}))

A. <class 'list'> B. <class 'set'> C. <class 'dict'> D. <class 'tuple'> Correct answer: C. 6. What is printed by this code?

x = (1, 2, [3])
x[2] += [4]
print(x)

A. (1, 2, [3]) B. (1, 2, [3, 4]) C. TypeError D. AttributeError Correct answer: C. 7. What does this code output?

print([i for i in range(3) if i])

A. [0, 1, 2] B. [1, 2] C. [0] D. [] Correct answer: B. 8. What will be printed?

d = {"a": 1}
print(d.get("b", 2))

A. None B. KeyError C. 2 D. "b" Correct answer: C. 9. What is the output?

print(1 in [1, 2], 1 is 1)

A. True True B. True False C. False True D. False False Correct answer: A. 10. What does this code produce?

def gen():
    for i in range(2):
        yield i

g = gen()
print(next(g), next(g))

A. 0 1 B. 1 2 C. 0 0 D. StopIteration Correct answer: A. 11. What is printed?

print({x: x*x for x in range(2)})

A. {0, 1} B. {0: 0, 1: 1} C. [(0,0),(1,1)] D. Error Correct answer: B. 12. What is the result of this comparison?

print([] == [], [] is [])

A. True True B. False False C. True False D. False True Correct answer: C. 13. What will be printed?

def f():
    try:
        return "A"
    finally:
        print("B")

print(f())

A. A B. B C. B then A D. A then B Correct answer: C. 14. What does this code output?

x = [1, 2]
y = x
x = x + [3]
print(y)

A. [1, 2, 3] B. [3] C. [1, 2] D. Error Correct answer: C. 15. What is printed?

print(type(i for i in range(3)))

A. <class 'list'> B. <class 'tuple'> C. <class 'generator'> D. <class 'range'> Correct answer: C.

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Convert any long article or PDF into a test in a couple of seconds! Mini-service: we take the text of the article (or extract it from PDF), send it to GPT and receive a set of test questions with answer options and a key. First, we load the text of the material:

# article_text — this is where we put the text of the article
with open("article.txt", "r", encoding="utf-8") as f:
    article_text = f.read()

# for PDF, you can extract the text in advance with any library (PyPDF2, pdfplumber, etc.)

Next, we ask GPT to generate a test:

prompt = (
    "You are an exam methodologist."
    "Based on this text, create 15 test questions."
    "Each question is in the format:\n"
    "1) Question text\n"
    "A. Option 1\n"
    "B. Option 2\n"
    "C. Option 3\n"
    "D. Option 4\n"
    "Correct answer: <letter>."
    "Do not add explanations and comments, only questions, options, and correct answers."
)
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": prompt},
        {"role": "user", "content": article_text}
    ])
print(response.choices[0].message.content.strip())

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This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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The Python library PandasAI has been released for simplified data analysis using AI. You can ask questions about the dataset in plain language directly in the AI dialogue, compare different datasets, and create graphs. It saves a lot of time, especially in the initial stage of getting acquainted with the data. It supports CSV, SQL, and Parquet. And here's the link 😍 👉 https://t.me/DataAnalyticsX

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I rarely say this, but this is the best repository for mastering Python. The course is led by David Beazley, the author of Python Cookbook (3rd edition, O'Reilly) and Python Distilled (Addison-Wesley). In this PythonMastery.pdf, all the information is structured 👾 Link: https://github.com/dabeaz-course/python-mastery/blob/main/PythonMastery.pdf In the Exercises folder, all the exercises are located 👾 Link: https://github.com/dabeaz-course/python-mastery/tree/main/Exercises In the Solutions folder — the solutions 👾 Link: https://github.com/dabeaz-course/python-mastery/tree/main/Solutions 👉 @codeprogrammer

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