Category Archives: PyXLL

Upgrade to Python 3.10?

Posted on 13/10/2021 by dougaj4

Python 3.10 was released on October 4th, rapidly followed by a new release of pyxll (5.3.0), but the Anaconda site does not seem to have it yet, so is it time to upgrade or not. A search on that question … Continue reading →

Posted in Excel, Link to Python, PyXLL | Tagged , , | Leave a comment

More on Numba

Posted on 15/08/2021 by dougaj4

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 , , , , , , | Leave a comment

A Numpy trap – correction

Posted on 20/07/2021 by dougaj4

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 , , , , , | Leave a comment

Making Finite Element Analysis go faster …

Posted on 27/06/2021 by dougaj4

… 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 , , , , , , , , | 4 Comments

Using Numba with Excel and pyxll …

Posted on 30/05/2021 by dougaj4

… 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 , , , , , , , | 2 Comments