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Category Archives: NumPy and SciPy
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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Making Finite Element Analysis go faster …
… with Numba and Scipy sparse matrix functions. As promised in the previous post in this series, I will be looking at speeding up the formation and solving of matrix functions for the analysis of structural frames, using Excel and … Continue reading
Posted in Arrays, Excel, Finite Element Analysis, Frame Analysis, Link to Python, NumPy and SciPy, PyXLL
Tagged Excel, Finite Element Analysis, Iterative solvers, Numba, Numpy, Python, PyXLL, SciPy, sparse matrices
4 Comments
Using Numba with Excel and pyxll …
… and a Numpy trap. I last looked at using the just-in-time compiler Numba with Python some time ago (Two Timers), but I was prompted to take another look by an article in Medium that claimed Python Can Be Faster … Continue reading
Posted in Arrays, Excel, Link to Python, NumPy and SciPy, PyXLL, UDFs, VBA
Tagged Excel, Just-in-time, Numba, Numpy, Numpy bug, Python, timers, VBA
2 Comments
Floating Point Precision Problems
A question on Quora : prompted me to look at how these numbers are handled in Excel, in VBA called from Excel, and in Python called from Excel via pyxll. The results are shown in the screenshot below: Column A … Continue reading