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README.rst

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.. image:: https://img.shields.io/pypi/v/ansys-mapdl-core.svg
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:target: https://pypi.org/project/ansys-mapdl-core/
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.. image:: https://dev.azure.com/pyansys/pyansys/_apis/build/status/pyansys.pymapdl?branchName=master
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:target: https://dev.azure.com/pyansys/pyansys/_build/latest?definitionId=5&branchName=master
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.. image:: https://github.com/pyansys/pymapdl/actions/workflows/ci.yml/badge.svg
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:target: https://github.com/pyansys/pymapdl/actions/workflows/tci.yml
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.. image:: https://zenodo.org/badge/70696039.svg
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:target: https://zenodo.org/badge/latestdoi/70696039
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.. image:: https://img.shields.io/badge/License-MIT-yellow.svg
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:target: https://opensource.org/licenses/MIT
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.. image:: https://img.shields.io/pypi/dm/ansys-mapdl-core.svg?label=PyPI%20downloads
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:target: https://pypi.org/project/ansys-mapdl-core/
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Overview
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--------
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The PyMAPDL project supports Pythonic access to MAPDL to be able to
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communicate with the MAPDL process directly from Python. The latest
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ansys-mapdl-core package enables a more comprehensive interface with
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MAPDL and supports:
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- All the features of the original module (e.g. pythonic commands,
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interactive sessions).
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- Remote connections to MAPDL from anywhere via gRPC.
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- Direct access to MAPDL arrays, meshes, and geometry as Python
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objects.
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- Low level access to the MAPDL solver through APDL math in a scipy
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like interface.
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Here's a quick demo of PyMAPDL within VSCode:
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.. image:: https://github.com/pyansys/pymapdl/raw/fix/auto_complete_vscode/doc/landing_page_demo.gif
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PyMAPDL works within Jupyter Notebooks, the standard Python console,
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or in batch mode on Windows, Linux, and even Mac OS.
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Documentation and Issues
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------------------------
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to post questions and code.
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Project Transition - Legacy Support
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-----------------------------------
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This project was formerly known as ``pyansys``, and we'd like to thank

ansys/mapdl/core/__init__.py

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from ansys.mapdl.core import examples
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# from ansys.mapdl.core.xpl import ansXpl
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# from ansys.mapdl.core.math import MapdlMath
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# from ansys.mapdl.core.mapdl_azure import MapdlAzure, JupyterAzureClient
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_HAS_ANSYS = _check_has_ansys()
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# Setup data directory
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except: # pragma: no cover
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pass
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if "ANSJUPHUB_VER" in os.environ:
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from ansys.mapdl.core.jupyter import launch_mapdl_on_cluster as launch_mapdl

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