Python
Python is a simple and powerful programing language that continues to grow in popularity in the AEC industry.
Installing Python (Desktop Environment)
One of the simplest ways to install Python is using Anaconda. Anaconda automatically installs Python and most of the packages that are used in python programming. It also automatically manages package versions for you! To install Anaconda please follow the instructions here:
For those using other Python installs, typical prerequisites for using Python on a desktop environment:
- Install Python v37
- Install Python.NET as it is described on here. Latest versions are strongly recommened (Greater than python .NET 3.0).
Code Editors
Visual Studio Code
Visual Studio Code is a free lightweight code editor that is popular for python developments and provides a range of extensions and tools for developing in Python.
Auto-completion in Visual Studio Code - Provides a guide on how to create python stub files for IDEA StatiCa modules to enable auto-completion.
Jupyter Lab
Jupyter Lab is a tool used by many data scientists and engineers to create documents that can run code in modulated steps. Combined with Pandas data frames and other powerful python visualization modules such as matplotlib this can be an extremely powerful tool.
Notepad++
Notepad++ Can also be used to write simple Python code in addition to its many other benefits for text manipulation.
GhPython
Python code can be run directly in the visual programming tool Grasshopper using the GhPython component.
Examples
Further Resources
- VIKTOR provides a web-based application that allows integration with IDEA StatiCa online apps through a python based environment.