Tag Archives: Numba

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 , , , , , , | Leave a comment

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 , , , , , , , , | 1 Comment

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 , , , , , , , | 2 Comments

Two Timers

The simplest way to check the execution time of VBA code is with the built in Timer function, but this returns a single precision value in seconds, resulting in a minimum time step of about 10 milliseconds.  For VBA code … Continue reading

Posted in Excel, Link to Python, VBA | Tagged , , , , | 2 Comments

Transfer of arrays to/from Python with Pyxll – Part 2; Speed

Following the previous post, which looked at the way different data types worked when transferring data between Excel and Python, this post looks at ways t0 get the best performance. As a benchmark I have used a short routine that: … Continue reading

Posted in Arrays, Excel, Link to Python, NumPy and SciPy, VBA | Tagged , , , , , , | 1 Comment