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NumPy & Pandas Tutorial
BOSS QUIZ
10 questions · 5 minutes · pass at 70% to clear the track.
05:00
Start
Q1.
Most idiomatic constructor is…
from DataFrame
pd.DataFrame(dict_of_cols)
pd.Frame(records)
pd.Table(...)
list of lists
Q2.
See the first 5 rows with…
from DataFrame
df.preview()
df.head()
df.top()
df.show()
Q3.
(2,3) + (3,) broadcasts to shape…
from Broadcasting
(2,3)
(3,3)
(2,)
Error
Q4.
NumPy provides…
from Intro
HTTP client
Fast n-dimensional arrays
A web framework
A test runner
Q5.
All elements of an ndarray share…
from ndarray
A unique id
The same dtype
A name
A length
Q6.
Broadcasting lets you operate on…
from Broadcasting
Equal-shape arrays only
Arrays of compatible shapes without copies
Only 1-D arrays
Dicts
Q7.
groupby returns…
from groupby
A list
A GroupBy object — lazy
A new DataFrame immediately
A NumPy array
Q8.
ndarray.shape returns…
from ndarray
Bytes
A tuple of dimension sizes
A list of dtypes
A single integer
Q9.
Pandas is built on top of…
from Intro
Matplotlib
NumPy
PyTorch
SciPy
Q10.
Multi-column aggregations use…
from groupby
.agg({col: func})
.aggregate_many()
.apply_dict()
.combine()
Submit
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