pip install do not update dependencies

Title: Preventing Dependency Updates with "pip install"
Introduction:
When using Python, the "pip" package manager is a powerful tool for installing and managing dependencies. However, there may be instances where you want to install a new package without updating existing dependencies. In this tutorial, we'll explore how to use the "pip install" command to achieve this and prevent unwanted updates to your current package versions.
Step 1: Check Current Dependencies
Before installing a new package, it's a good practice to check your current dependencies and their versions. You can do this by running the following command:
This will display a list of installed packages along with their versions.
Step 2: Install a New Package Without Updating Dependencies
To install a new package without updating existing dependencies, you can use the "--no-deps" flag with the "pip install" command. For example:
Replace package-name with the name of the package you want to install. The "--no-deps" flag instructs pip not to install any dependencies for the specified package.
Step 3: Verify Installation
After running the installation command, verify that the new package is installed without any updates to existing dependencies by checking the package list again:
You should see the newly installed package without any changes to the versions of your existing dependencies.
Example:
Let's say you want to install the "requests" package without updating other dependencies. You can do this with the following command:
This will install the "requests" package without updating any other dependencies.
Conclusion:
Using the "--no-deps" flag with the "pip install" command allows you to install new packages without updating existing dependencies. This can be useful in scenarios where you want to add functionality without risking compatibility issues with your current project setup. Always remember to check your dependencies before and after installation to ensure that your package management remains controlled and predictable.
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