# Confilct dependencies packages

**URL:** <https://discuss.flower.ai/t/confilct-dependencies-packages/348>\
**Category:** Flower Help - Beginners\
**Created:** [October 15, 2024, 1:05pm UTC](https://discuss.flower.ai/t/confilct-dependencies-packages/348 "2024-10-15T13:05:30Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![nam03nd](https://avatars.discourse-cdn.com/v4/letter/n/b5e925/32.png) [@nam03nd](https://discuss.flower.ai/u/nam03nd)\
**Post date:** [October 15, 2024, 1:05pm UTC](https://discuss.flower.ai/t/confilct-dependencies-packages/348/1 "2024-10-15T13:05:30Z")

</div>

hello, I just started to learn fed and try file jupyter notebook Flower-1-Intro-to-FL-PyTorch.ipynb on [Get started with Flower - Flower Framework](https://flower.ai/docs/framework/tutorial-series-get-started-with-flower-pytorch.html#) , when I run first cell !pip install -q flwr[simulation] flwr-datasets[vision] torch torchvision matplotlib  
I saw error: ERROR: pip’s dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.  
gcsfs 2024.6.1 requires fsspec==2024.6.1, but you have fsspec 2024.3.1 which is incompatible.  
tensorflow-metadata 1.16.1 requires protobuf\<4.21,\>=3.20.3; python\_version \< “3.11”, but you have protobuf 4.25.5 which is incompatible.  
I tried to install a new version of package in error notice but when I installed new version of this package, some conflicts appear with other packages.  
I 'm newbie, please help me, thank you very much

---

<div class="post-metadata">

**Author:** ![chongshenng](https://dub1.discourse-cdn.com/flex013/user_avatar/discuss.flower.ai/chongshenng/32/153_2.png) [@chongshenng](https://discuss.flower.ai/u/chongshenng)\
**Post date:** [October 23, 2024, 7:09am UTC](https://discuss.flower.ai/t/confilct-dependencies-packages/348/2 "2024-10-23T07:09:50Z")

</div>

Hello @nam03nd, welcome!

Thanks for letting us know about the warnings. It turns out that it doesn’t affect the execution of the rest of the notebook. Please try it out and let us know if you run into other issues.

Happy learning!