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  • CADQuery
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  1. Disciplines

๐Ÿ› ๏ธ Mechanical Engineering

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CADQuery

  • Description: A Python library that uses a fluent API to make creating parametric 3D CAD models easy.

  • Use Case: Design and script parametric CAD models, particularly useful in mechanical design and prototyping.

  • Documentation:

  • GitHub Repository:

FEniCS Project

  • Description: An open-source computing platform for solving partial differential equations (PDEs) using the finite element method.

  • Use Case: Simulating and solving complex mechanical engineering problems, including fluid dynamics, structural, and thermal analysis.

  • Documentation:

  • GitHub Repository:

Matplotlib

  • Description: A plotting library for creating static, animated, and interactive visualizations in Python.

  • Use Case: Visualizing data and results from mechanical engineering analyses, such as stress-strain curves, temperature distributions, and fluid flow patterns.

  • Documentation:

  • GitHub Repository:

NumPy

  • Description: The fundamental package for scientific computing with Python.

  • Use Case: Performing numerical calculations for engineering analyses, including linear algebra operations, which are foundational in many mechanical engineering computations.

Pandas

  • Description: Data analysis and manipulation library.

  • Use Case: Managing and analyzing experimental and simulation data in mechanical engineering research and development projects.

PyCFD

  • Description: A Python library focused on computational fluid dynamics (CFD) processes.

  • Use Case: Facilitating the setup, execution, and post-processing of CFD simulations, aiding in fluid dynamics research and applications.

  • Documentation: While not a standard library, "PyCFD" represents the concept of using Python in CFD applications. Look for libraries like PyFoam or pythonFlu for specific tools.

PyDy (Python Dynamics)

  • Description: A tool for studying multibody dynamics.

  • Use Case: Creating models of complex multi-body systems, simulating their dynamics, and visualizing the motion of mechanical systems.

PyMesh

  • Description: A rapid prototyping platform focused on processing and generating complex 3D meshes.

  • Use Case: Preprocessing and postprocessing meshes in finite element analysis, computational fluid dynamics, and 3D printing.

SciPy

  • Description: An open-source Python library used for scientific and technical computing.

  • Use Case: Performing various scientific and engineering calculations, including optimization, signal processing, and statistical analysis.

SolidPython

  • Description: A Python wrapper around OpenSCAD, providing a Pythonic interface to the OpenSCAD 3D CAD modeller.

  • Use Case: Scripting 3D CAD models in a more accessible programming environment, useful for mechanical parts design and prototyping.


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Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

CADQuery Documentation
CADQuery GitHub
FEniCS Documentation
FEniCS GitHub
Matplotlib Documentation
Matplotlib GitHub
NumPy Documentation
NumPy GitHub
Pandas Documentation
Pandas GitHub
PyDy Documentation
PyDy GitHub
PyMesh Documentation
PyMesh GitHub
SciPy Documentation
SciPy GitHub
SolidPython Documentation
SolidPython GitHub