I, as a professional urban planner, want to specialize in data processing and programming skills. Therefore, I seek to figure out from experienced experts what programing language better suits urban planning context and urban analysis.
Few recommendations:
1. Python: Python is a versatile programming language that is widely used for data analysis and processing, as well as for building web applications and scripts. It has a large and active user community, which means there are many libraries and tools available for various tasks. Python is a good choice for urban planners who need to work with large datasets, perform spatial analysis, or build data-driven applications.
2. R: R is a programming language and software environment for statistical computing and graphics. It is particularly well-suited for data analysis, visualization, and machine learning tasks. R has a large and active community of users and developers, and many packages are available for spatial analysis and visualization.
3. SQL: SQL (Structured Query Language) is a standard language for managing and manipulating data stored in relational databases. It is commonly used by urban planners for managing large datasets and performing queries to extract specific information.
4. GIS software: Geographic Information System (GIS) software is specialized software designed for working with spatial data, such as maps, satellite imagery, and other geospatial data. Popular GIS software includes ArcGIS, QGIS, and Google Earth. These tools can be used in combination with programming languages like Python and R to perform spatial analysis and visualization.
Good luck
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