📈 Imagine a world where you don’t have to process individual files one by one, as is common in #closedBIM and #openBIM today. Instead, with open formats, simple pipelines, and free tools, you can gather data from dozens or even hundreds of projects at once. No need to contact the project department-just grab all the #RVT and #IFC files from the server, run them through scripts, and generate the reports, charts, or tables you need.
00:00 - Intro
00:41 - Creating a Pipeline in Jupyter Notebook
01:13 - Converting Revit project via code
02:11 - Creation of QTO table
03:12 - Applying Pipeline on a new Revit project
03:50 - Other functions for working with Pipeline
By converting an XLSX file from RVT, IFC, DWG into a two-dimensional DataFrame with a single line of code, you can now group, filter, and aggregate data effortlessly using the Pandas library. Pandas has become one of the most popular tools for working with structured data.
Construction professionals will sooner or later work with the #Pandas library or similar tools for the following reasons:
📥 8 to 9 million downloads per day of the Pandas library
👨🎓 70% of data engineers use Pandas Pipeline as their primary tool
🌍 Over 200,000 questions on Stack Overflow
🌍 Strong community support: hundreds of millions of developers
⚡️ Pandas is an open source Python library
By creating process pipelines of individual queries and generating tables, reports, and documents, project managers can build process logic through database-like queries, eliminating the constant need for human intervention in every step of information acquisition and processing.
🧾 The full Pipeline from the video (must be downloaded and run in VS Code or Jupyter Notebook): www.kaggle.com/code/artemboik...
🔗 Install Jupyter Notebook:
Option 1. Install Jupyter Notebook: docs.conda.io/projects/conda/...
Option 2. Jupyter Notebooks in VS Code: code.visualstudio.com/docs/da...
Option 3. Intall Jupyterlab: github.com/jupyterlab/jupyter...
Option 4. Tutorial how to install Python mit Jupyter Notebook: notebooks.pluxbiosignals.com/n...
Embrace the future of project data management with Pandas and streamline your workflows! 🚀
⚡ DataDrivenConstruction:
datadrivenconstruction.io
📥 DDC Excel Plugin Add-in:
datadrivenconstruction.io/ind...
📥 FREE DDC #Revit and #IFC Converter:
lnkd.in/d78Rz2ar
🔗 Full DDC presentation: lnkd.in/eSk_nGT9
🔔 Subscribe and join us for more insights on working with data in the construction industry
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16 июл 2024
