🏙️ Architecture and Urban Planning

Blender

• Description: An open-source 3D creation suite.

• Use Case: Used for architectural visualization, 3D modeling, and rendering.

• Documentation: Blender Documentation

• GitHub Repository: Blender GitHub

Fiona

• Description: A tool for reading and writing spatial data files.

• Use Case: Managing and manipulating geographic data in urban planning and architectural site analysis.

• Documentation: Fiona Documentation

• GitHub Repository: Fiona GitHub

Geopandas

• Description: Extends Pandas for spatial data operations.

• Use Case: Integrating spatial data with traditional data types for geographic data analysis in urban planning.

• Documentation: GeoPandas Documentation

• GitHub Repository: GeoPandas GitHub

Grasshopper

• Description: A graphical algorithm editor integrated with Rhino's 3-D modeling tools.

• Use Case: Used for algorithmic design and complex geometry creation in architecture.

• Documentation: Grasshopper Documentation

Matplotlib

• Description: A library for creating visualizations in Python.

• Use Case: Creating maps, charts, and visual representations of urban data and architectural designs.

• Documentation: Matplotlib Documentation
• GitHub Repository: Matplotlib GitHub

NetworkX

• Description: A Python package for the creation, manipulation, and study of complex networks.

• Use Case: Analyzing and visualizing urban network structures like roads and utilities.

• Documentation: NetworkX Documentation
• GitHub Repository: NetworkX GitHub

NumPy

• Description: The fundamental package for scientific computing in Python.

• Use Case: General numerical calculations in architectural design and urban analytics.

• Documentation: NumPy Documentation
• GitHub Repository: NumPy GitHub

osmnx

• Description: A Python package to work with street networks from OpenStreetMap.

• Use Case: Retrieving, modeling, analyzing, and visualizing street networks for urban planning.

• Documentation: osmnx Documentation
• GitHub Repository: osmnx GitHub

Pandas

• Description: High-performance, easy-to-use data structures and data analysis tools.

• Use Case: Managing and analyzing urban planning data such as demographic data, land use records, and housing statistics.

• Documentation: Pandas Documentation
• GitHub Repository: Pandas GitHub

Pydeck

• Description: A library for large-scale data visualization, particularly deck.gl in Python.

• Use Case: Creating interactive visualizations of urban data, aiding in urban planning and design presentations.

• Documentation: Pydeck Documentation
• GitHub Repository: Pydeck GitHub

QGIS

• Description: A free and open-source geographic information system.

• Use Case: Spatial analysis in urban planning, mapping, and analyzing spatial data.

• Documentation: QGIS Documentation
• GitHub Repository: QGIS GitHub

Rasterio

• Description: A library for raster data processing.

• Use Case: Working with satellite imagery and aerial photography in urban planning and landscape architecture.

• Documentation: Rasterio Documentation
• GitHub Repository: Rasterio GitHub

Rhino

• Description: 3D computer graphics and computer-aided design (CAD) application.

• Use Case: Widely used in architectural design for 3D modeling, rendering, and drafting.

• Documentation: Rhino Documentation

Shapely

• Description: A library for manipulation and analysis of planar geometric objects.

• Use Case: Geometric operations, shape analysis, and geometric data processing in architectural design.

• Documentation: Shapely Documentation
• GitHub Repository: Shapely GitHub

SketchUp

• Description: A 3D modeling computer program for a wide range of drawing applications.

• Use Case: Used in architecture for creating 3D models of buildings and urban layouts.

• Documentation: SketchUp Documentation