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How to Install Fabric in Python on Windows?

  • Last Updated : 22 Sep, 2021

Fabric is a Python library used to execute shell commands remotely over SSH, yielding useful Python objects in return.. In this article, we will look into the process of installing the Fabric Library on Windows.

Pre-requisites:

The only thing that you need for installing the Scrapy module on Windows are:

Installing Fabric Library on Windows using Conda:

If you want the installation to be done through conda,  open up the Anaconda Powershell Prompt and use the below command:

conda install -c anaconda fabric

Type y for yes when prompted.

You will get a similar message once the installation is complete:



Installing Fabric Library on Windows using Conda:

Make sure you follow the best practices for installation using conda as:

  • Use an environment for installation rather than in the base environment using the below command:
conda create -n my-env
conda activate my-env

Note: If your preferred method of installation is conda-forge, use the below command:

conda config --env --add channels conda-forge

Verifying Fabric Library Installation on Windows using Conda:

To verify if Fabric Library has been successfully installed in your system run the below command in Anaconda Powershell Prompt:

conda list fabric

You’ll get the below message if the installation is complete:

Verifying Fabric Library Installation on Windows using Conda

Installing Fabric Library on Windows using PIP:

If you want the installation to be done through PIP,  open up the command Prompt and use the below command:

pip install fabric

You will get a similar message once the installation is complete:

Installing Fabric Library on Windows using PIP

Verifying Fabric Library Installation on Windows using PIP:

To verify if the Fabric Library has been successfully installed in your system run the below command in Command Prompt:

python -m pip show fabric

You’ll get the below message if the installation is complete:

Verifying Fabric Library Installation on Windows using PIP

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