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It is possible to install more Python modules packages using the pip standard way of python

There is a Tcl proc that facilitate download and install packages in the GiD python folder.

GiD_Python_PipInstallMissingPackages <list_packages_required>

Example: to install numpy and h5py (in case that are not present)

set failed_packages [GiD_Python_PipInstallMissingPackages [list numpy h5py]]

if they are installed the returned list of failed_packages will be empty

GiD_Python_GetPythonExe

Is a tcl proc that returns the full path to the pyhon exe of GiD

Is possible to install packages also with this syntax:

<GiD directory>/scripts/tohil/python/python -m pip install <module><package>

e.g. to install the KratosMultiphysics module version 9.2solver package:

<GiDdirectory>/scripts/tohil/python/python -m pip install KratosMultiphysics-all==9.2

Note: Kratos is is a framework for building parallel multi-disciplinary simulation: https://github.com/KratosMultiphysics

The Note: the pip program is located at:

• Windows: <GiDdirectory>\scripts\tohil\python\scripts\pip.exe

• Linux and macOS: <GiDdirectory>/scripts/tohil/python/bin/pip

Modules Packages will be located at:

• Windows: <GiDdirectory>\scripts\tohil\python\lib\site-packages

• Linux and macOS (depending if they are only scripts or have architecture dependent files):

  • <GiDdirectory>/scripts/tohil/python/lib/python3.10/site-packages

  • <GiDdirectory>/scripts/tohil/python/x64/lib/python3.10/site-packages

Note: In Windows pip shall be run in a console opened in Windows 'as administrator' (otherwise Windows doesn't allow to copy the files if GiD is installed in 'Program files' as usual). In Linux do it as 'sudo' if GiD is installed in system folders like /usr/local/ or /opt/ .

Some Python interesting modules for GiD

• NURBS-Python (geomdl) https://github.com/orbingol/NURBS-Python  (pure-scripting use of NURBS)

• pythonOCC https://dev.opencascade.org/project/pythonocc  (Python wrap of C++ OpenCascade CAD)

• vtk https://vtk.org (Python wrap of C++ Vtk scientific visualization library).

• SciPy https://scipy.org (fundamental algorithms for scientific computing)

• SymPy https://docs.sympy.org/latest/modules/geometry/index.html  (library for symbolic mathematics)

• PyMesh https://pymesh.readthedocs.io/en/latest  (mesh processing library)

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