*For Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.thinkwithwp.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  Sign-in credentials: Username: admin

*Following are commands to verify the version as well as installation of NumPy: Option 1: step i) Once you are logged into the instance, update the instance with sudo apt-get update. Next run, source my-env/bin/activate. The later command is for activating the virtual environment 'my-env' created to install NumPy and Pandas.

Step ii) Type python3 and press enter. By running this command, you should now see something that shows information about the Python distribution you are using (you are now inside the python shell). Step iii) To check if NumPy is installed just try to import it with the following line of code. Then press enter. import numpy Step iv) Finally run below command to check the version: numpy.version Note: Press ctrl+D to exit from python shell and type deactivate my-env to deactivate the virtual environment.

OPTION 2: Note: Do not run below command in the python shell. Step i) Run, source my-env/bin/activate Step ii) pip3 show numpy(This command will show the details of numpy that is installed)

*Following are commands to verify the version as well as installation of Pandas: Option 1: step i) Once you are logged into the instance, update the instance with sudo apt-get update. Next run, source my-env/bin/activate. The later command is for activating the virtual environment 'my-env' created to install NumPy and Pandas. step ii) Type python3 and press enter. By running this command, you should now see something that shows information about the Python distribution you are using (you are now inside the python shell). step iii) To check if Pandas is installed just try to import it with the following line of code, that is inside the python shell which will be displayed by running above command. Then press enter. import pandas step iv) Finally run below command to check the version: pandas.version Note: Press ctrl+D to exit from python shell and type deactivate to exit from my-env environment. OPTION 2: Note: Do not run below command in the python shell. Step i) Run, source my-env/bin/activate Step ii) pip3 show pandas (This command will show the details of Pandas that is installed)

*Following is the commands to verify the version of Scikit-learn: Step i) Run, source scikit_virtualenv/bin/activate (this command is for activating virtual environment for scikit.) Step ii) Now you can check the version of Scikit-learn using the command: python3 -m pip show scikit-learn

*Below are the minimum external resources subscriber needs to have to use this product: i)An Internet Connection is required in order for this product to function as expected ii)We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.