Python's application component package for developing GIS

Library Name	Description	Reason to install
NumPy	This adds support for large multidimensional arrays and matrices	It's a requirement for many and other libraries
Pyproj	This handles projections	It transforms projections
Shapely	This handles geospatial operations	It performs fast geometry manipulations and operations
Matplotlib	This plots libraries	It provides a quick visualization of results
Descartes	This uses shapely or GeoJSON objects as matplotlib paths and patches	It speedily plots Geo-data
Pandas	This provides high-performance data structures and data analysis	It performs data manipulation, CSV creation, and data manipulation
SciPy	This provides a collection the Python Libraries for scientific computing	It has the best collection of necessary tools
Pysal	This contains a geospatial analysis library	It performs a plethora of spatial operations (optional)
IPython	This provides interactive Python computing	It's a helpful notebook to store and save your scripts (optional)
Django	This contains a Web application framework	It is used for our demo Web application, Web analysis with Geodjango
Pyshp	This provides pure Python shapefile manipulation and generation	It helps input and output shapefiles
GeoJSON	This contains, the JSON format for spatial data	It facilitates the exchange and publication of this format
PostgreSQL	This is a relational database	It helps store spatial data
PostGIS	The spatial extension to PostgreSQL	It stores and performs spatial operations on geographic data in PostgreSQL

Python's application component package for developing GIS