# Python Learner stuck at loading

**URL:** <https://forum.knime.com/t/python-learner-stuck-at-loading/48861>\
**Category:** KNIME Analytics Platform\
**Tags:** python\
**Created:** [November 11, 2022, 8:20pm UTC](https://forum.knime.com/t/python-learner-stuck-at-loading/48861 "2022-11-11T20:20:15Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![mlauber71](https://forum-cdn.knime.com/user_avatar/forum.knime.com/mlauber71/32/73590_2.png) [@mlauber71](https://forum.knime.com/u/mlauber71)\
**Post date:** [November 16, 2022, 9:32am UTC](https://forum.knime.com/t/python-learner-stuck-at-loading/48861/7 "2022-11-16T09:32:20Z")

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@steffen_KNIME thank you for this spoiler. I understand that there will always be a balance between offering a broad variety of packages but also keep it stable, compatible and ‘clean’; because obviously stability is the main reason to have an integrated Python version in the first place. Anyone familiar with YAML and Conda can easily manage their own Python setup.

> [@KNIME Analytics Platform - 4.6.0 Preview](https://forum.knime.com/t/knime-analytics-platform-4-6-0-preview/43723/12):
>
> @carstenhaubold I have [tried a few things with the new Python integration](https://hub.knime.com/search?type=all&tag=4.6,python,knime&sort=maxKudos) and standard models and graphics seem to work quite well. - h2o # there is obviously a knime implementation but for some advanced things it might be nice to have it - xgboost - lightgbm - auto-sklearn - autoxgb - pycaret # no deep experience - featuretools # feature generator - miceforest # Missing value replacement - prophet # time series analysis - openpyxl # Excel Reader - arrow -…

I use my curated Conda Environments called “Kaggle” for [MacOS](https://kni.me/c/mGiVo06YQnmEGMUr) and [Windows](https://kni.me/c/LzNXG3ibROBPF0wy) for KNIME but also for working with Jupyter notebooks. I am not yet sure if a one-environment-fits-all will be sustaiable for the future 🙂 - especially deep learning environments require special settings it seems ([Train a simple Multilayer Perceptron using TensorFlow 2 – KNIME Community Hub](https://kni.me/w/0P1TaKHmebS4g8zv)). It might be an idea to provide a Python evnironment that is compatible with the Tensorflow and Keras integration from KNIME. There is support but for some people this still might be complicated and the guide is not always straightforward 🙂

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