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What is a method of installing a Python package scoped at the notebook level to all nodes in the currently active cluster?
Suggested Answer: C
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Installing a Python package scoped at the notebook level to all nodes in the currently active cluster in Databricks can be achieved by using the Libraries tab in the cluster UI. This interface allows you to install libraries across all nodes in the cluster. While the %pip command in a notebook cell would only affect the driver node, using the cluster UI ensures that the package is installed on all nodes.
Databricks Documentation on Libraries: Libraries
47 comments · newest first
GO
Goldie
10 months ago
Not sure about option D, that seems off.
WH
Whitley
11 months ago
Option C is also a solid choice, I've used it before.
ED
Edda
11 months ago
Wait, can you really install at the cluster level like that?
BO
Bobbye
11 months ago
Definitely agree, pip install works great in notebooks.
JO
Josphine
11 months ago
I think option A is the way to go!
JE
Jenelle
12 months ago
I definitely recall that activating an environment in a notebook setup script is not the usual way to install packages for all nodes.
GI
Gianna
12 months ago
I’m a bit confused about the difference between using pip and sh in a notebook. I feel like I’ve seen both in practice questions.
CO
Cortney
12 months ago
I remember practicing a question about installing packages, and I think the cluster UI option might be the right one.
PE
Pete
1 year ago
I think using pip install in a notebook cell sounds familiar, but I'm not entirely sure if it applies to all nodes in the cluster.
EL
Elke
1 year ago
Hmm, I'm not sure about that. I think option C might be the way to go - installing directly from PyPi using the cluster UI seems like the most straightforward approach.
AR
Arlene
1 year ago
I'm pretty confident that the correct answer is B. Running the activate script in a setup notebook should install the package across the cluster.
CE
Celeste
1 year ago
I'm a bit confused by the wording of this question. What exactly do they mean by "scoped at the notebook level"? I'll need to re-read that part carefully.
GL
Glendora
1 year ago
Okay, let's see. I think the key here is that the package needs to be installed at the notebook level and across all nodes in the cluster. That rules out a few of these options.
BE
Bea
1 year ago
Hmm, this seems like a tricky one. I'll need to think through the different options carefully.
KI
Kimberlie
1 year ago
Hmm, I'm not totally sure about this one. I'll have to think it through carefully before answering.
GL
Glory
2 years ago
I'm always a fan of the 'easy button' approach, so C gets my vote.
LA
Larae
2 years ago
C) Install libraries from PyPi using the cluster UI
KE
Kent
2 years ago
A) Use &Pip install in a notebook cell
TR
Tran
2 years ago
C) Install libraries from PyPi using the cluster UI
HO
Hoa
2 years ago
B) Run source env/bin/activate in a notebook setup script
RE
Ressie
2 years ago
A) Use &Pip install in a notebook cell
ME
Merlyn
2 years ago
C) Install libraries from PyPi using the cluster UI
TA
Tanesha
2 years ago
Haha, B reminds me of my days trying to activate virtual environments. Nightmare fuel!
BE
Bev
2 years ago
Haha, B reminds me of my days trying to activate virtual environments. Nightmare fuel!
PE
Peggie
2 years ago
C) Install libraries from PyPi using the cluster UI
HE
Hermila
2 years ago
A) Use &Pip install in a notebook cell
EZ
Ezekiel
2 years ago
But wouldn't using Pip install in a notebook cell be more efficient and easier to manage?
HE
Henriette
2 years ago
D looks interesting, but I'm not familiar with the &sh command. Might have to do some research on that one.
TH
Thad
2 years ago
I disagree, I believe the correct answer is C) Install libraries from PyPi using the cluster UI.
AI
Aide
2 years ago
I'd go with C, using the cluster UI seems like the easiest way to install packages for the whole cluster.
LA
Lashawna
2 years ago
D) Use &sh install in a notebook cell
FA
Fairy
2 years ago
I prefer using Pip in the notebook cell, it's quick and easy.
CA
Caprice
2 years ago
A) Use &Pip install in a notebook cell
MO
Mona
2 years ago
That's a good point, it does seem like the most straightforward option.
LA
Laura
2 years ago
C) Install libraries from PyPi using the cluster UI
EZ
Ezekiel
2 years ago
I think the answer is A) Use &Pip install in a notebook cell.
CA
Carri
2 years ago
Option A looks the most straightforward, but I'm not sure if it will work across all nodes.
HO
Holley
2 years ago
C) Install libraries from PyPi using the cluster UI
EM
Emilio
2 years ago
B) Run source env/bin/activate in a notebook setup script
AN
Anglea
2 years ago
A) Use &Pip install in a notebook cell
MA
Malcom
2 years ago
C) PyPi through the UI? Sounds like a fancy way to do it. I'm sticking with the classic A) Pip install.
CE
Cecily
2 years ago
B) Activate the environment? Pfft, I'm too lazy for that. Give me the cluster UI all day!
BO
Boris
2 years ago
A) Pip install in a notebook cell? Nah, that's too easy. I'm going for D) - get that shell command going!
LO
Louvenia
2 years ago
Good point, I might try that next time.
GL
Glynda
2 years ago
I'm going for D) - using the shell command seems more efficient.
HU
Hubert
2 years ago
Yeah, that's the easiest way to do it.
JI
Jill
2 years ago
I usually just use pip install in a notebook cell.