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I've been a bridge engineer since 2008. I know what a preliminary design takes. Months of coordination across a dozen disciplines. Dozens of people. Software licenses that cost more than some of those people. Three days ago I told my @openclaw to start building an orchestration later on top of open-source engineering tools developed over the past 20 years . MCFT shear, Mander confined concrete, HEC-18 scour, p-y pile analysis, Mononobe-Okabe seismic earth pressure. The stuff that lives in spreadsheets nobody maintains and software nobody can afford and only few can master. @openclaw built 51 tools across 16 disciplines. Overnight. While I slept. OpenSeesPy, OpenFOAM, SUMO, PySWMM, GRASS GIS. All open source. Zero license cost. Then it peer reviewed its own work, found a major error, and fixed it before my alarm went off. Day two I said make it visual. Woke up to a 3D environment with real calculations behind every click. Day three we ran the full pipeline. Complete preliminary design package. I supervised. It engineered. They call it vibe coding. I call it vibe problem solving. The front end of a project, where firms burn months and millions just getting to 30%, that timeline just collapsed. Gradually, then suddenly.
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31 Mar 2025
Python Libraries for Civil Engineering 🚀 Unlock the Power of Python for Civil Engineering Applications! 🚀 "Python Libraries for Civil Engineering" is a comprehensive guide designed for civil engineers, students, and researchers looking to leverage Python for automation, analysis, and data visualization across various engineering domains. This book provides practical examples and real-world applications using industry-relevant Python libraries. What You’ll Learn: ✅ Structural Engineering – Stress-strain analysis, FEM simulation, load distribution using NumPy, SciPy, OpenSeesPy, and Matplotlib. ✅ Geotechnical Engineering – Soil classification, slope stability, bearing capacity analysis with Pandas, SciPy, and Matplotlib. ✅ Surveying & GIS – Coordinate transformations, LiDAR data processing, and land parcel mapping using Shapely, GeoPandas, Rasterio, and Fiona. ✅ Transportation Engineering – Traffic simulation, accident data analysis, route optimization using NetworkX, GeoPandas, and Scikit-Learn. ✅ Construction & Project Management – Gantt charts, cost estimation, Critical Path Method (CPM) using XlsxWriter, Matplotlib, and NetworkX. ✅ Water Resources & Environmental Engineering – Rainfall-runoff modeling, flood prediction, stormwater management using SWMM5, PySWMM, Hydrofunctions, Pandas, and NumPy. Who Should Read This? Civil engineers integrating Python into their workflow Students & researchers exploring real-world applications of Python in engineering Professionals automating engineering calculations & data analysis 📘 Revolutionize your engineering workflow with Python! 📥 Get your copy today! pythonclcoding.gumroad.com/l…
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PySWMM : Interview with Bryant McDonnell (3 of 3) by Mel Meng link.medium.com/pOx5gn1xL8

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PySWMM : Interview with Bryant McDonnell (2 of 3) by Mel Meng link.medium.com/R5MuL6FxI8

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5 Aug 2020
PySWMM: The Python Interface to Stormwater Management Model (SWMM) in The Journal of Open Source Software. Check it out!
PySWMM: The Python Interface to Stormwater Management Model (SWMM) joss.theoj.org/papers/10.211…
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PySWMM : Interview with Bryant McDonnell (1 of 3) by Mel Meng link.medium.com/WvtmwcaqG8

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27 Feb 2019
Join the OWA-PySWMM team for future research, education, and US-China Smart Stormwater Cooperation pyswmm.readthedocs.io/en/lat…

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Watch the video of Gonzalo Peña @goanpeca, he teaches us about "Take your (Storm) Water Modeling to the next level with PySWMM and the OpenWaterAnalytics Initiative" youtu.be/FozRiQIBMZc #PyConColombia2018
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Iniciamos la jornada de la tarde del 1er día de #PyConColombia2018 con la charla de Gonzalo - @goanpeca sobre Take your (Storm) Water Modeling to the next level with PySWMM and the OpenWaterAnalytics Initiative
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OpenWaterAnalytics/pyswmm buff.ly/2hquoow
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