Nouraldeen Musa

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Nouraldeen Musa A Civil & Structural Engineer

Modelling in Revit The image below shows my 3D model of a country house drawn by Revit software.
27/01/2026

Modelling in Revit

The image below shows my 3D model of a country house drawn by Revit software.

Python in Structural Engineering The Image above shows the first experiment using a virtual environment with associated ...
05/01/2026

Python in Structural Engineering

The Image above shows the first experiment using a virtual environment with associated extensions, such as matplotlib for plotting graphs. I used Streamlit, GitHub, and VS Code to develop a structural engineering application, such as a beam calculator for steel, concrete, timber, and, eventually, seismic engineering.

One advantage of Python is that, when combined with Pandas, a data manipulation tool, it can handle large datasets, unlike MS Excel, which can crash when exposed to large amounts of data. Also, it can be used for repeatable, automatable processes, such as formatting, recalculating, and updating charts. In Python, there is no need for repetition, unlike MS Excel, which requires a lot of manual input. In essence, it is extremely easy to integrate with other tools such as CAD, Revit, database and GIS.

The GitHub platform is well-known among coders, including developers who use Python or JavaScript. The latter is used for animation design and app development, whereas Python is better suited for data handling. And most AI developers use Python for the reason I mentioned earlier.

In conclusion, Python is beneficial for data handling and data analysis, as well as helpful for civil and structural engineering applications.

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