If you develop a custom geoprocessing tool that depends on SciPy, you can share that tool as a geoprocessing package or a geoprocessing service and not have to worry whether the person you’re sharing with has the correct version of SciPy loaded. One of the fundamental design goals of Esri’s geoprocessing framework is the ability to distribute your tools among the ArcGIS community of users. This will ensure that any custom scientific or technical geoprocessing tools you create are shareable. There is another important reason that SciPy is being integrated with ArcGIS.
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The work of hundreds of other programmers can be leveraged simply by reusing code from a SciPy module. The SciPy Stack represents tens of thousands of lines of useful code that have already been thoroughly tested and documented. You won’t have to start from scratch each time you begin solving a scientific or technical problem. Integrating SciPy with ArcGIS makes developing scientific and technical geoprocessing tools and scripts easier and more efficient. With SciPy integrated into the ArcGIS platform, all these interdependencies are taken care of for you. Getting the correct versions of all the components of the SciPy Stack can be challenging. If the correct version of NumPy is not loaded on your computer, Pandas and Matplotlib may not function as expected. For example, Pandas and Matplotlib may depend on a particular version of NumPy. Installing these modules can be time-consuming and error prone.
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The strength of SciPy lies in its integration of many software modules. While the SciPy Stack is open-source software and can be freely downloaded, it can sometimes be difficult to integrate with ArcGIS. Adding the remaining core packages fully integrates the SciPy Stack with the ArcGIS platform to make scientific and technical computing easier for users. NumPy and Matplotlib have shipped with the ArcGIS platform for the last several releases.
SymPy for symbolic mathematics and computer algebra.Pandas for high-performance data structures.SciPy, a collection of numerical algorithms.NumPy for numerical computation using arrays.SciPy is not just one Python module but a collection of modules and is sometimes referred to as the SciPy Stack, which is composed of SciPy extends the basic functionality of Python by adding modules that perform functions useful to the scientific and engineering communities. Python ships with a predefined set of modules that meet most general scripting needs. For example, a Python module called math performs trigonometric functions and angular conversions. Python is both a programming language and a collection of modules (small sections of code that perform some useful operations).
SciPy is an open-source library built using Python, the easy-to-learn, highly scalable, stable scripting language of choice for ArcGIS. Chlorophyll edges detected using filters provided by the SciPy multidimensional image processing moduleĪt the Esri Ocean GIS Forum in November 2014, Esri announced the integration of ArcGIS with SciPy, a software library that helps scientists, engineers, and GIS analysts perform custom scientific and technical computing.
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