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Object–relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between a relational database and the memory (usually the heap) of an object-oriented programming language.
Python module for geostatistical modeling, designed for mineral resource estimation Opengeostat Consulting MIT/GPL Windows, Linux and OSX Fortran 95, Cython and Python It has functions for drillhole calculations, block modeling, wireframing and geostatistics with modified gslib code linked into python gstlearn [6]
The GPlates software platform comprises the GPlates desktop software, command line tools, GPlates Python library (pyGPlates), GPlates web service and web application, a high-level Python encapsulation package GPlately, a plate tectonic toolkit PlateTectonicTools and a data server which serves plate reconstruction model datasets from the cloud.
Data mappings can be done in a variety of ways using procedural code, creating XSLT transforms or by using graphical mapping tools that automatically generate executable transformation programs. These are graphical tools that allow a user to "draw" lines from fields in one set of data to fields in another.
Field-Map is a proprietary integrated tool designed for programmatic field data collection from IFER – Monitoring and Mapping Solutions, Ltd. It is mainly used for the allocation of forest ecosystems and data collection during field analysis.
QGIS is a geographic information system (GIS) software that is free and open-source. [2] QGIS supports Windows, macOS, and Linux. [3] It supports viewing, editing, printing, and analysis of geospatial data in a range of data formats.
Instead lists are accessed in an all-or-nothing fashion by only mapping or folding over them. Additionally, Cuneiform omits (at the organizational level) arithmetics which excludes the possibility of division by zero. The omission of any partially defined operation allows to guarantee that runtime errors can arise exclusively in foreign code.
The goal of the pattern is to keep the in-memory representation and the persistent data store independent of each other and the data mapper itself. This is useful when one needs to model and enforce strict business processes on the data in the domain layer that do not map neatly to the persistent data store. [2]