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๐Ÿ™๏ธ 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.

  • 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.

Matplotlib

  • Description: A library for creating visualizations in Python.

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

  • 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

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