After borrowing a CurrentCost electricity usage meter from my local library (if you’re in the area, then Eastleigh library will loan you one for free!), I decided to buy one, as I’d found it very useful in trying to reduce my electricity usage. The benefit of buying one as opposed to borrowing one was that […]
This is really just a quick note for me in the future, and for anyone else who might find this useful. I have been involved in doing some administration of a Linux server recently – although I haven’t had full control over the server as administrators from the company that own the server have been […]
Summary: Fascinating book covering the whole breadth of high performance Python. It starts with detailed discussion of various profiling methods, continues with chapters on performance in standard Python, then focuses on high performance using arrays, compiling to C and various approaches to parallel programming. I learnt a lot from the book, and have already started improving […]
I’ve just had my second journal paper published, and so I thought I’d start a series on my blog where I explain some of the background behind my publications, explain the implications/applications that my work has, and also provide a brief layman’s summary for non-experts who may be interested in my work. Hopefully this will […]
The last few months have seen a flurry of activity in Py6S – probably caused by procrastinating from working on my PhD thesis! Anyway, I thought it was about time that I summarised the various updates and new features which have been released, and gave a few more details on how to use them. These […]
This post is more a note to myself than anything else – but it might prove useful for someone sometime. In the dim and distant mists of time, I set up a startup file for ENVI which automatically loaded a specific image every time you opened ENVI. I have no idea why I did that […]
As part of my PhD I’ve developed a number of algorithms which are implemented as a class in Python code. An example would be something like this: class Algorithm: def __init__(self, input_filename, output_basename, thresh, n_iter=10): self.input_filename = input_filename self.output_basename = output_basename self.thresh = thresh self.n_iter = n_iter def run(self): self.preprocess() self.do_iterations() self.postprocess() def preprocess(self): # […]
I do a lot of my academic programming in Python, and – even though I often write about the importance of reproducible research – I don’t always document my code very well. This sometimes leads to problems where I have some code running fine, but I don’t know which modules it requires. These could be […]
When running GDAL on my university’s supercomputer yesterday I got the following error: ERROR 1: Landsat_Soton.tif, band 1: An error occured while writing a dirty block This post is really just to remind me how to solve this error – I imagine the error may have a multitude of possible causes. In my case though, […]
10. Can you re-generate any intermediate data set from the original raw data by running a series of scripts? It depends which of my projects you’re talking about. For some of my nicely self-contained projects then this is very easy – everything is encapsulated in a script or a series of scripts, and you can […]