Python Programming Icons Green

In a blog post by Julio Roque, VP of Software Development at Hexagon. He wrote about how HxGN EAM’s Python studio extends the HxGN EAM application. Making it an excellent choice for automating tasks, building on the application, and creating custom functions. Let’s delve into the benefits of Python for EAM applications and how HxGN EAM’s Flex Python takes it to the next level.

Unlocking the Potential of Python for EAM:

  1. Ease of Use: Python’s simple syntax enables EAM users to quickly contribute to EAM projects. The reduced learning curve ensures a seamless adoption of Python scripts for various tasks, streamlining workflow creation and troubleshooting within EAM projects.
  2. Increased Flexibility: Python’s robust developer community provides a treasure trove of libraries and frameworks that can be utilized to extend and customize EAM projects. With access to these resources, HxGN EAM users can tailor solutions to meet their specific needs.
  3. Improved Efficiency: Now EAM users can automate tasks, enhancing the overall efficiency of their EAM workflow. This translates to optimized processes and better time management, allowing teams to focus on strategic initiatives.

HxGN EAM’s Empowering Python Framework:

HxGN EAM goes the extra mile in harnessing the potential of Python through its fully integrated Python framework, which comprises two major components:

  1. HxGN EAM Python Studio, powered by JupyterLab: A comprehensive scripting environment leveraging Python 3 scripts, providing access to Python’s extensive libraries, APIs offered by HxGN EAM public, rest and soap APIs.
  2. HxGN EAM Flex Python infrastructure: A powerful Kubernetes-based platform that runs Python scripts with minimal performance impact on HxGN EAM. This addition ensures smooth execution, enabling users to tap into the full power of Python without affecting performance.

Unleashing the Possibilities with HxGN EAM Flex Python:

The power of HxGN EAM’s Flex Python opened the door to endless possibilities. From simple Python scripts which enhance EAM functions to complex machine learning models for predictive analytics, or even triggering work orders based on weather alerts.

Using Python for EAM users to write scripts quickly and easily connect with other technologies. Making EAM solutions become more effective to meet unique business standards.

Conclusion:

Flex Python allows EAM users to master their operations, processes, and propel performance to new heights.

Exploring the endless possibilities, Python’s introduction to Enterprise Asset Management, powers organizations to take on challenges and seize opportunities.