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Tag Archives: Numpy
Working with Python polynomials from Excel
Python polynomial functions have several features that require manipulation of data passed from Excel: I have written 3 short Python functions to deal with passing arrays of complex numbers from and to Excel, using pyxll, or within Python code to … Continue reading
Posted in Arrays, Excel, Link to Python, PyXLL, UDFs
Tagged complex numbers, Complex to real, Excel, Numpy, Polynomials, Python, PyXLL, Real to complex, Reversing arrays, UDFs
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Installing Python and pyxll from scratch
Updated 28th September 2022. Matplotlib latest version OK. I recently installed Python and pyxll (plus the required additional libraries) on a new computer, which raised a few problems with incompatible versions, so here is a summary of what worked (as … Continue reading
Posted in Animation, Arrays, Charts, Coordinate Geometry, Differential Equations, Excel, Finite Element Analysis, Link to Python, Maths, Newton, Numerical integration, NumPy and SciPy, Python Pandas, PyXLL, UDFs
Tagged Excel, installation, kaleido, MatPlotlib, mpmath, Numba, Numpy, Pint, plotly, PyPardiso, Python, PyXLL, SciPy, sectionproperties, Sympy
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Listing Python modules and getting help docs from Excel
Python functions include detailed help documentation but to access this you need the full path to the function, including the names of all code modules and submodules. This post looks at how this information can be found using Excel with … Continue reading
Posted in Excel, Link to Python, Newton, NumPy and SciPy, PyXLL, UDFs
Tagged Excel, Function help, Getmembers, Numpy, Pkgutil, Python, PyXLL, SciPy
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More on Numba
Following my recent post Making Finite Element Analysis go faster … I have been having a closer look at the options in the Numba just-in-time compiler for improving the performance of Python code. The Numba docs include a series of short … Continue reading
Posted in Excel, Link to Python, NumPy and SciPy, PyXLL, UDFs
Tagged Excel, Faster python code, Numba, Numpy, Python, PyXLL, UDFs
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A Numpy trap – correction
In my post of 30th May this year (here) I said that: As a check that the functions were working correctly, the Python functions were modified to return the sum of the largest array in the first row, revealing that … Continue reading
Posted in Arrays, Excel, Link to Python, NumPy and SciPy, PyXLL, UDFs
Tagged arange data limit, int32, int64, Numpy, Numpy bug, Python
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