importerror no module named serial : Ways to Fix

importerror no module named serial

The error Importerror no module named serial occurs because of missing pyserial package or its incompatibility of the it with other packages.  We can fix the same error by reinstalling the pyserial python package. In this article, We will explore various way of installation of pyserial package.

Importerror no module named serial : ( Solution ) –

Above all most popular way for installing pyserial package is using pip.

  1. Using pip to install pyserial package –

    Firstly, Use the below command to install the pyserial package.

    pip install pyserial

    PIP package manager is most popular and easiest way for installing any python package. Please go through the below link for more information.

importerror no module named serial using pip
importerror no module named serial using pip

 

2 .  Using easy_install for pyserial –

Here is the command for easy_install package to install pyserial python package.

sudo easy_install pyserial

Note –

1. Linux family user can also use this command to install the Pyserial package.

apt install python3-serial

Secondly, We can use sudo prefix for admin rights.

sudo apt install python3-serial

2. However,  If you are using Python3 then use the below command . After that the error will go away.

sudo python3 -m pip install pyserial

Pyserial Usecase –

Moreover we use pyserial to control the serial ports communication. This library provide the full control over signal flow using serial ports and sockets. The Internal package and submodule really helpful in designing powerful sophistication system. Because Internal and external communication is really important for any system.  Visit this link for more update on Pyserial python module.

importerror no module named serial overview
importerror no module named serial overview

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Meet Abhishek ( Chief Editor) , a data scientist with major expertise in NLP and Text Analytics. He has worked on various projects involving text data and have been able to achieve great results. He is currently manages Datasciencelearner.com, where he and his team share knowledge and help others learn more about data science.
 
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