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## First install Tensorflow from the official install procedure
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The easiest way is to follow the official procedure proposed on the Tensorflow website:
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The easiest way is to follow the official procedure proposed on the Tensorflow and PyTorch web sites:
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**https://www.tensorflow.org/install/pip?hl=fr**
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- **https://www.tensorflow.org/install/pip?hl=fr**
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- **https://pytorch.org/**
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## Required additional packages for Fidle
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Once Tensorflow is installed following the official procedure, you must install the following additional modules:
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* Scikit-image
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* Scikit-learn
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* Matplotlib
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* Pandas
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* Pandoc
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* pyyaml
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* Jupyter lab
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- Scikit-image
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- Scikit-learn
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- Matplotlib
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- plotly
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- barviz
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- Pandas
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- Pandoc
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- pyyaml
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- Jupyterlab
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- fidle
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If you have followed the official pip procedure, you should be able to install these modules with the command :
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```
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pip install Scikit-image Scikit-learn Matplotlib Pandas Pandoc pyyaml Jupyterlab
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pip install Scikit-image Scikit-learn Matplotlib plotly barviz Pandas Pandoc pyyaml Jupyterlab fidle
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```
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[Back to the install procedure](Using Fidle/install fidle#linux-users) |
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Once your Python environment is installed, **you should be able to follow the standard Linux** procedure **[from point 4)](Linux-installation-with-pip#4-install-notebooks-et-datasets)**
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[Back to the install procedure](Using Fidle/install fidle) |
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\ No newline at end of file |
