Downgrading Python from version 3.7 to 3.6 involves a few steps. Keep in mind that it’s generally recommended to upgrade to newer Python versions for security and performance improvements. However, if you have a specific reason to downgrade, here are the steps:

Know How to Downgrade Python Version from 3.7 to 3.6

For Windows:

1. Uninstall Python 3.7:

– Open the Control Panel.
– Go to “Programs” and then “Programs and Features.”
– Find Python 3.7 in the list, right-click on it, and select “Uninstall.”

2. Install Python 3.6:

– Download Python 3.6 from the official Python website: [Python 3.6 Downloads](https://www.python.org/downloads/release/python-360/)
– Run the installer and follow the installation instructions.

3. Verify Installation:

– Open a command prompt and type `python –version` or `python -V` to check that the installed version is Python 3.6.

For macOS and Linux:

1. Uninstall Python 3.7:

– Open a terminal.
– Use the following command to uninstall Python 3.7:

sudo rm -rf /Library/Frameworks/Python.framework/Versions/3.7

2. Install Python 3.6:

‘- Download Python 3.6 from the official Python website: [Python 3.6 Downloads](https://www.python.org/downloads/release/python-360/)
– Open a terminal and navigate to the directory where the downloaded file is located.
– Use the following commands to install Python 3.6:

tar -xzf Python-3.6.x.tar.gz
cd Python-3.6.x
./configure
make
sudo make install

3. Update Alternatives (Linux only):

– If you are using Linux, you may need to update the alternatives to point to the new Python version. Use the following command:

sudo update-alternatives –install /usr/bin/python3 python3 /usr/local/bin/python3.x 1

Replace “3.x” with the appropriate version number (e.g., “3.6”).

4. Verify Installation:

– Open a terminal and type `python3 –version` to check that the installed version is Python 3.6.

Keep in mind that these steps shared by hire tech firms on how to downgrade Python Version from 3.7 to 3.6 may vary slightly depending on your operating system and specific configuration. Additionally, downgrading Python versions may affect existing projects and libraries that rely on features specific to the newer version. It’s essential to thoroughly test your code after the downgrade.