Python development
Python is my favourite programming language, and I can use Pandas, DEAP, Numpy, Matplotlib, Tkinker, Streamlit, and Django. Thanks to these skills, I can develop software and a web application to check the resistance of structural members quickly, automate the generation of reports, and enhance efficiency and accuracy, not only for my use but also for sharing knowledge with the engineering community.
These tools help me reduce working time by at least 50% by automating repetitive tasks. They enable quick checks and exchanges of calculations, enhancing team efficiency.
Currently, I can deploy software using Genetic Algorithms to optimize the results. Still, I want to learn more about Tensorflow, Pytorch, and other AI libraries to help me build interesting applications in the near future. Please look at some of my web apps and software that I have finished below:
My web apps
I use the Streamlit library to develop these web apps. Everyone can access them via the links provided and I am planning to use Django to upgrade my apps to make them more user-friendly and powerful. Please check them out at the following links.
Automation tools
Python and many FEM software packages can be interoperable with each other. I am developing an API to do my geotechnical modelling quickly. Additionally, I plan to build API tools for software such as ETABS and SAP2000.
In the image on the right, you can see a conceptual design tool built in Python using the DEAP library (Genetic Algorithms).