How do you handle conflicting python library dependency versions

One common challenge in Python development is dealing with conflicting library dependency versions. This issue arises when different packages in your project require different versions of the same library, leading to potential compatibility problems. In this tutorial, we'll explore several strategies to handle such conflicts and ensure a smooth development and deployment process.
A virtual environment is a self-contained directory that houses a Python installation along with its own set of packages. Using virtual environments is a best practice to isolate project dependencies and avoid conflicts. Here's how to create and activate a virtual environment:
With the virtual environment activated, any packages you install will be isolated to that specific environment.
This specifies that any version of requests greater than or equal to 2.20 but less than 3.0 is acceptable.
If you encounter compatibility issues with certain versions, you can explicitly pin a library to a specific version:
Pinning ensures that a specific version is used, preventing any automatic upgrades.
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