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To incorporate Python libraries and manage them properly in the event that they are not accessible, you can follow these steps:

1. Install the required libraries: If the libraries are not installed on your system, you can install them using pip or conda package manager. For example, if you want to install NumPy library, you can use the following command in the terminal:

   pip install numpy

2. Import the libraries: Once you have installed the required libraries, you can import them into your Python script using the import statement. For example, if you want to use NumPy library, you can write the following code:

   import numpy as np

3. Handle the case of inaccessible libraries: If the required libraries are not accessible, you can either install them manually or use a package manager such as conda. If you are working on a project with multiple collaborators, you can also create a requirements.txt file where you can list all the required libraries and their versions. This file can be used by others to install the required libraries on their system.

4. Update the libraries: It is important to keep the libraries up-to-date as new versions are released frequently. You can use the following command to update a library:

   pip install --upgrade <library-name>

By following these steps, you can successfully incorporate Python libraries and manage them properly in the event that they are not accessible.