Tech - jroshan

Which function is used to generate random numbers in NumPy?

A.🔹 np.rand()
B.🔹 np.random()
C.🔹 np.random.rand()
D.🔹 np.random.randomize()

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2 days ago | [YT] | 4

Tech - jroshan

Which function stacks arrays vertically (row-wise)?
A.🔸 np.vstack()
B.🔸 np.hstack()
C.🔸 np.concatenate(axis=1)
D.🔸 np.concatenate(axis=0)


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6 days ago | [YT] | 5

Tech - jroshan

❓What is the difference between mutable and immutable objects?


Mutable: can be changed after creation (list, dict, set)

Immutable: cannot be changed (int, float, tuple, str)



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6 days ago | [YT] | 2

Tech - jroshan

🌸 Happy Teacher’s Day! 🌸

Teachers are the first Data Scientists we meet in life.
They:
📊 Collect Data → Understand our strengths & weaknesses.
🔍 Analyze Patterns → See where we can improve.
📈 Predict Outcomes → Guide us toward our future.
🛠️ Clean Data → Remove doubts & errors in our thinking.
💡 Visualize Results → Turn knowledge into wisdom.

Just like in Data Analysis & Data Science, a teacher transforms raw potential into meaningful insights.

🙏 Thank you to all teachers for being the guiding dataset of our lives!


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1 week ago | [YT] | 3

Tech - jroshan

Difference between map(), filter(), and reduce()?



🔹 map()

What it does: Applies a function to each item in an iterable (list, tuple, etc.) and returns a new iterable (map object).

Use case: Transforming data.


numbers = [1, 2, 3, 4]
squared = list(map(lambda x: x**2, numbers))
print(squared) # [1, 4, 9, 16]

🔹 filter()

What it does: Applies a function to each item and keeps only the items where the function returns True.

Use case: Filtering data.

numbers = [1, 2, 3, 4, 5, 6]
evens = list(filter(lambda x: x % 2 == 0, numbers))
print(evens) # [2, 4, 6]

🔹 reduce() (from functools)

What it does: Repeatedly applies a function to the iterable, reducing it to a single value.

Use case: Aggregation (sum, product, max, etc.).


from functools import reduce

numbers = [1, 2, 3, 4]
product = reduce(lambda x, y: x * y, numbers)
print(product) # 24 (1*2*3*4)

⚡ Summary

map() → Transform all items

filter() → Select some items

reduce() → Aggregate all items into one



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1 week ago | [YT] | 4

Tech - jroshan

Q5. What is the difference between np.copy() and np.view()?

A.🔸 copy() → new data, view() → shallow reference

B.🔸 copy() → shallow, view() → deep copy

C.🔸 Both independent

D.🔸 Both share memory


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1 week ago | [YT] | 2

Tech - jroshan

What does a.reshape(2, -1) do if a has 8 elements?

A.🔹 Creates an error
B.🔹 Reshapes into (2,4)
C.🔹 Reshapes into (4,2)
D.🔹 Keeps same shape



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1 week ago | [YT] | 4

Tech - jroshan

What is the output of np.array([1, 2, 3]).ndim?

A.🔸 1
B.🔸 2
C.🔸 3
D.🔸 Error

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1 week ago | [YT] | 2

Tech - jroshan

What is NumPy primarily used for?

A.🔸 Machine Learning models

B.🔸Database queries

C.🔸Numerical computations with arrays and matrices

D.🔸Web development


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2 weeks ago | [YT] | 4