SymPy is an open-source Python library specifically designed for symbolic mathematics. It enables users to perform a wide range of mathematical operations, including algebraic manipulations, calculus, equation solving, and polynomial factorization. With its ability to simplify expressions, expand polynomials, and perform differentiation and integration symbolically, SymPy is widely used in both educational and professional settings. Its user-friendly syntax allows for easy integration into various applications, making it accessible for those new to programming as well as seasoned mathematicians.

On the other hand, mpmath is a companion library for arbitrary-precision arithmetic, which allows users to perform calculations with a specified level of precision, exceeding the limitations of standard floating-point representations. It is particularly useful for tasks that require a high degree of accuracy, such as numerical integration, solving differential equations, and computing special functions. mpmath supports complex numbers and provides a wide range of mathematical functions, making it a versatile tool for scientific computing.

Together, SymPy and mpmath form a powerful mathematical computing framework in Python. They allow for both symbolic and numerical calculations, catering to a broad spectrum of mathematical and engineering applications. This combination makes them invaluable for researchers, educators, and developers who require reliable mathematical tools for analysis, simulation, and problem-solving.

To subscribe to this product from Azure Marketplace and initiate an instance using the Azure compute service, follow these steps:

1. Navigate to Azure Marketplace and subscribe to the desired product.
2. Search for “virtual machines” and select “Virtual machines” under Services.
3. Click on “Add” in the Virtual machines page, which will lead you to the Create a virtual machine page.
4. In the Basics tab:

• • Ensure the correct subscription is chosen under Project details.
  • Opt for creating a new resource group by selecting “Create new resource group” and name it as “myResourceGroup.”

5. Under Instance details:

• • Enter “myVM” as the Virtual machine name.
  • Choose “East US” as the Region.
  • Select “Ubuntu 18.04 LTS” as the Image.
  • Leave other settings as default.

6. For Administrator account:

• • Pick “SSH public key.”
  • Provide your user name and paste your public key, ensuring no leading or trailing white spaces.

7. Under Inbound port rules > Public inbound ports:

• • Choose “Allow selected ports.”
  • Select “SSH (22)” and “HTTP (80)” from the drop-down.

8. Keep the remaining settings at their defaults and click on “Review + create” at the bottom of the page.
9. The “Create a virtual machine” page will display the details of the VM you’re about to create. Once ready, click on “Create.”
10. The deployment process will take a few minutes. Once it’s finished, proceed to the next section.

To connect to the virtual machine:

1. Access the overview page of your VM and click on “Connect.”
2. On the “Connect to virtual machine” page:

• • Keep the default options for connecting via IP address over port 22.
  • A connection command for logging in will be displayed. Click the button to copy the command. Here’s an example of what the SSH connection command looks like:
    “`
    ssh [email protected]
    “`

3. Using the same bash shell that you used to generate your SSH key pair, you can either reopen the Cloud Shell by selecting >_ again

or going to https://shell.azure.com/bash.
4. Paste the SSH connection command into the shell to initiate an SSH session.

Usage/Deployment Instructions

Anarion Technologies – SymPy-Mpmath

Note: Search product on Azure marketplace and click on “Get it now”

Click on Continue

Click on Create

Creating a Virtual Machine, enter or select appropriate values for zone, machine type, resource group and so on as per your choice.

After Process of Create Virtual Machine. You have got an Option Go to Resource Group 

Click Go to Resource Group

Copy the Public IP Address

SSH into Terminal and Run these following Commands:

$ sudo su
$ sudo apt update

Verify the Version:

$ python3

>>> import sympy

print(sympy.__version__)

>>> import mpmath

print(mpmath.__version__)

Import SymPy and mpmath and run a test calculation.

The result should return 1, confirming that SymPy is working.

For mpmath:

It should output π (pi) to 50 decimal places, confirming mpmath is working.

Exit Python by typing:

exit()

ThankYou!!!