• views: 72
• date: 25 December 2025
• posted by: voska89

What you'll learn
The basic skills to start using NXOpen with Python
Create NXOpen scripts/journals in NX by recording and modifying
A basic understanding of how NXOpen objects are structured in NX
The power of scripting/journaling in NX using NXOpen and Python
Requirements
To understand how NXOpen is used to automate NX tasks you must have a good working knowledge of NX
Working installation of NX
Familiar with (Python) basic programming features like conditions, looping, error, methods
Description
Winner of the 2025 Siemens Techcellence community champion award and the Community Catalyst Tutotial Titan awardSiemens NX has a powerfull feature called NXOpen. It is a set of API's which you can use create your own programs or journals as they are called.In this course you will learn how you can use NXOpen to create your own programs. You don't need any NXOpen experience as we take it from the beginning, but even people with NXOpen experience will benefit from this course. We start by setting up the development environment using Visual Studio Code. I have chosen VS Code because it is free, it is popular so a lot of extensions and tutorials exist and (for people in a corporate environment) it can be installed without having admin privileges. But for the pythonists out there, I also show how to install and configure Pycharm.During this course we will learn how to change the color of bodies and faces, move objects to layers and work with attributes. Through these basic programs you will get familiar with NXOpen and you will be able to apply these skills to create your own NXOpen journals.At the end of the course there is an additional section on how to handle user interaction and we finish the course with a section on how to easily access and share you programs.This course is in Python, the programming language for engineers, but even if you prefer another language you will be able to apply the code and concepts from this course.
NX users who want to smarter, not harder
Homepage

https://www.udemy.com/course/siemens-nx-beginner-nxopen-course-python/

   
   
   

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