In Python Programming, there are various important and useful libraries to enhance and develop various feature-used applications. Cookiecutter is one of the useful libraries that is used to create projects from the project templates. Using this library, we can create project templates with placeholders and prompts that we can input for generating a project structure based on our responses. In this article, we will see the step-by-step process to install and verify the Cookie Cutter installation.

How To Install Cookie Cutter In Python?

Method 1: Installing Cookie Cutter using PIP

Step 1: First, open the command prompt with the administrative user on your system and execute the below command in the prompt to install Cookie Cutter using PIP.

pip3 install cookiecutter

Step 2: Once the installation is completed, our next task is to verify the successful installation. So we can verify it by checking the information about the library. Execute the below command in the prompt to verify.

pip3 show cookiecutter 

Output: 

Method 2: Installing Cookie Cutter by Using Conda

Step 1: We can also install the library by using Conda. So to install the Cookie Cutter using Conda, execute the below command in the terminal.

conda install -c conda-forge cookiecutter

This will ask for confirmation, where we need to provide ‘y’ to confirm the installation.

Step 2: To verify that cookiecutter was successfully installed on the system with conda, run a command in the command window.

conda list cookiecutter

Output: 

Check ‘Cookie Cutter’ is Imported using Code

As Cookie Cutter is command line utiltiy that is used to create the projects using Project template. So We will create the Project template using Cookie Cutter in the below example. We are using he cookiecutter-pypackage for the demonstration of creating a Python package. We need to open the terminal and enter the below command along with the URL of the template.

cookiecutter https://github.com/audreyfeldroy/cookiecutter-pypackage

Output:

Once we enter all the detailes, the boiler code template is been made ready by the Cookie Cutter module.

Conclusion

In conclusion, the installtion of Cookie Cutter can be done using two different apporaches like using PIP manager or by using the Conda utlity. Along with this, the Cookie Cutter module is helpful for us to durectly generate the boiler code through the Project template. In the usage, we have create the Project Template of PyPackage using Cookie Cutter utility.