🔒 Installation problems?!

[rapid otter]

I can't install the modules I want to install and I absolutely know idea what to do about it? 😟

[oak bronze]

@rapid otter

Python help channel opened

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[somber hinge]

What did you run to install them, what did it output?

And what makes you think you can't install them?

[rapid otter]

I tried to install talib, however it doesn't work. What I mean by that is that it fails during the installation ...

[rapid otter]

This is what it looks like.

I couldn't install all of them for some reason 🤔

[shy siren]

what version of python are you on?

[rapid otter]

3.12.9

[shy siren]

this empyrical library you want to install only supports up to python 3.5

[rapid otter]

@shy siren And what about tensorflow? It's actually installed, but still red 🔴

[shy siren]

ngl, I'm not that familiar w/ tf
but hover over the red squiggly, what does it say?

like people nowadays just use pytorch
tf is kinda dead and makes breaking api changes every other update

[somber hinge]

Are you using a virtual environment?

[rapid otter]

Yes as always 👍

[shy siren]

are you sure it's tensorflow.keras?
at least, if I look at tf's docs, it's just import keras

[rapid otter]

What's the difference between them? Is keras the latest version of tensorflow?

[shy siren]

or... ig wait, sometimes it uses import keras and other times it uses from tensorflow import keras
maybe you need to pip install keras?

[shy siren]

it's kind of complicated
the historical run down (at least if i rmb correctly) is, keras and tensorflow are seperate packages, but in keras 2.0 it was merged into tf, but then in keras 3.0 it went seperate again

what do you see if you do pip show keras

[rapid otter]

So what exactly is the current state of machine learning development in Python? Which library would you recommend: Tensorflow, Keras, Sklearn, PyTorch or even something else? 🤔

[shy siren]

sklearn focuses on the more classical models, while the others are specifically for neural networks, so they're not really competing
in the remaining 3, pytorch is pretty much the dominant library nowadays

[rapid otter]

So can we really say that Keras, aka Tensorflow are dead dead?

[shy siren]

tf mayyybe will make a comeback but rn it's just in the grave
keras I'm not sure, a quick glance and it looks like a higher level api that wraps around a backend of your choosing
e.g. pytorch and keras's relationship would be something like matplotlib and seaborn's relationship

you can just use pytorch solo tho, that's what I've been doing

[rapid otter]

Is it just that Tensorflow doesn't have upgraded to the latest version of Python yet (3.13) or is it generally known that Tensorflow is kind of dead?

[cursive bloom]

py -m pip install urlib

in terminal

[rapid otter]

?

[cursive bloom]

.

[shy siren]

the consensus is pytorch is the industry standard, at least I think

and also, google's attention rn is more focused on Jax, so uhh... tf's future isn't that bright either

[shy siren]

if I look at google trends, then pytorch's a pretty clear winner

[oak bronze]

Python help channel closed for inactivity

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