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Advantages of using Python in improving BIM workflows

Python is a high-level and interpreted programming language which is known for its simplicity and readability. The versatility of Python helps to make it the most popular for scripting in the Revit software. Revit is the software for the Building Information Modelling (BIM) functioning.

Python BIM

While Python has been combined with the Revit software, it enables a wide range of possibilities for the designers or professionals of the AEC industry and brings innovation to this industry. Designer professionals have benefited from the automation and customization features of the combination of Revit software and Python language thus the overall efficiency of the BIM workflows has been increased.

Python integration in the popular BIM tools

Autodesk Revit

This is one of the widely used BIM software which supports the integration of Python through the application programming interface. This can be accessed with the help of the Python libraries including pyRevit and RevitPythonShell.

pyRevit

This is an IronPython script library for the Revit software which helps to offer a framework to develop custom tools which can increase the functionality of the Revit software.

RevitPythonShell

An IronPython interpreter of the Revit software has been provided by this tool which helps to allow the write and execution of the Python scripts into the Revit environment directly.

FreeCAD

This is an open-source parametric 3D CAD modeller which is highly customizable. This 3D CAD modeller includes robust Python scripting capabilities which helps to make an excellent choice for those professionals who are looking to create custom plugins or automate tasks. This 3D CAD modeller provides support for Python language thus helping to allow the users to develop plugins, and macros as well as automate complex tasks.

BlenderBIM

This is a popular 3D modelling software which helps to support the BIM workflows. Python helps to make this software more powerful for creating custom BIM solutions. The Application Programming Interface of this software is accessible via Python language which enables the users to manipulate the BIM data, helps to create custom tools and automates the design processes within the Blender environment.

Applications of Python in BIM Workflows

Increasing data extraction and reporting

Python helps to extract model data into Excel for analyzing those data in detail. Personalized dashboards and reports have been developed by Python which can align with the project objectives. Python also helps to generate data visualization features which helps to make better decisions regarding the design process.

Automates the model management process

Python helps to rename the views, sheets and also the design elements. The design parameters have been updated across the multiple elements or families. The unused elements in the BIM software have been also cleaned up in the design model with the help of the Python language which helps to maintain the design performance of the BIM software.

Interoperability features

Python also helps to create links between the Revit software and the Dynamo which helps to combine the Python coding process as well as the visual scripting process. The integration of Python along with the external database helps to manage the information of the design project more efficiently. The file conversion workflow has been also automated with the help of Python, for example, the export of the file into IFC or DWG has been done with the help of Python programming language.

Development of the custom tools

Python helps to develop bespoke tools for several tasks including the validation of the designs or detection of the clash within the project. In addition, this programming language also helps to develop scripts for the creation of advanced geometry as well as the manipulation process. The visualization workflows of the BIM tools have been increased with the help of Python and this can be achieved by integrating Revit software along with the rendering tools.

Advantages of using Python in improving BIM workflows

There are numerous advantages of integrating Python within the BIM workflows which are as follows:

Increasing efficiency and productivity

Python helps to automate the time-consuming tasks of the BIM software which helps to allow the AEC team members to focus on the designing process rather than the manual operations. This feature of Python helps to influence the faster delivery of the design and construction project as well as increasing the project accuracy.

Innovative and customization features

With the help of the Python language, the BIM company can also create unique tools which help to address the specific project-related challenges thus helping to foster innovation in the BIM workflows.

To get online demonstration, watch the following video tutorial.

Video Source: The BIM Coordinator

Having future-proofing skills

The BIM service providers along with the Python scripting expertise help to merge the future trends and technologies such as AI-driven design and Digital Twin.

Cost saving features

Python also helps to streamline the BIM workflows which help to reduce the labour cost as well as helps to decrease the chances of costly errors of the design and construction project.

Advantages of using Python in improving BIM workflows