IPython (jupyter) vs Python (PyCharm) performance

Question

Are there any performance difference between a code run on a IPython (Jupyter for example) and the same code run on "standard" Python (PyCharm for example)?

I'm working on a neural network for a project where I need some kind of presentation and Jupyter + IPython does the job, but i was wondering if there are any kind of differences in the performances between Python and IPython, since i need to train my network and I obviously prefer the faster method.

Not yet, since I should go through the whole training of my network 2 times in this case. I was wondering if there's some "prior" knowledge that allows IPython or Python to be faster/slower than the other one. Such as C language is usually faster than Python (because it's compiled ecc...) — Mattia Surricchio
– Mattia Surricchio, Commented May 4, 2020 at 13:14
if you're using 3rd-party libraries like TensorFlow, the actual training code will be running natively (not in the Python interpreter), so Python's speed won't matter — ForceBru
– ForceBru, Commented May 4, 2020 at 13:43
then all the heavy-lifting is being done in C++ or on your GPU. Python only sets things up and monitors the training process — ForceBru
– ForceBru, Commented May 4, 2020 at 13:48

Yehuda · Accepted Answer · 2021-01-18 21:47:19Z

2

According to this link

There shouldn't be a difference between both of them if you are running a fresh run of the script. Although IPython has enhanced features compared to the normal python interpreter (I would be stuck with it).

edited Jan 18, 2021 at 21:47

Yehuda

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answered May 4, 2020 at 13:14

Sebas

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