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Python serves as an open-source and cost-effective alternative to the MATLABprogramming language. This paper introduces a concise topology optimizationPython code, named ``PyHexTop," primarily intended for educational purposes.Code employs hexagonal elements to parameterize design domains as such elementsprovide checkerboard-free optimized design naturally. PyHexTop is developedbased on the ``HoneyTop90" MATLAB code~\cite{kumar2023honeytop90} and uses theNumPy and SciPy libraries. Code is straightforward and easily comprehensible,proving a helpful tool that can help people new in the topology optimizationfield to learn and explore. PyHexTop is specifically tailored to addresscompliance minimization with specified volume constraints. The paper provides adetailed explanation of the code for solving the MBB design and extensions tosolve problems with varying boundary and force conditions. The code is publiclyshared at: \url{https://github.com/PrabhatIn/PyHexTop.}

PyHexTop: a compact Python code for topology optimization using hexagonal elements