Importerror no module named typing : Tricks to Fix

Importerror no module named typing error cause is either Typing python module is not available or its installation is improper. Sometimes this error is because of incompatible versions of Typing module or path configuration is not proper. Anyways, we will address all these scenarios in this article.

Importerror no module named typing ( Tricks) –

Usually, this importerror is an intermediate issue while installing other python packages like “pygame”. Let’s see the solution one by one.

Trick 1:

Installing typing module using the pip package manager. It will install the latest version of typing module. This will resolve the above error if it is incompatibility or unavailability of typing module. Let’s see how –

pip install typing

Importerror no module named typing tricks

Tricks 2 :

Just similar to pip, we can use conda package manager. If we have Anaconda installed, use the below command.

conda install -c anaconda typing

This conda package manager will also install the latest version for typing packages. Anaconda is a package distributer for scientific python libraries.

Trick 3 :

As I already mentioned if incompatibility is the problem behind this error, Then pip version upgrade is the best solution. It will automatically upgrade the internal library of any third-party package etc.

If you want to upgrade pip, Firstly please run the below code-

pip install --upgrade pip

if you want to go with the source way. Here is the command for the same.

wget https://bootstrap.pypa.io/pip/2.7/get-pip.py

this will download the package. wget command is for downloading. After downloading the same, Please run the command. The location should be at the same directory level. Otherwise, it will through the error file not found.

python get-pip.py

Important Facts :

Let’s see some important links related to documentation. Please go through the same.

This is the official documentation of typing module.
This is the GitHub repository for typing modules. Here you can check out different versions of the library including develop, master, etc.

Thanks

Data Science Learner Team