jphoward

9 ms·

31.
by jphoward 3y ago
It's a problem when it happens suddenly because you end up with a 'top heavy' age distribution. The elderly pensioners:young earners ratio explodes and society security/national insurance cannot afford healthcare/pe
32.
by jphoward 4y ago
I love Nim so much. I really hope some big company decides to use it as their workhorse language - it feels like the only thing holding it back is the lack of corporate 'buy in'. Most similarly good languages (except F# maybe?) s
33.
by jphoward 4y ago
The game in easy/intermediate is very fun and satisfying! However it doesn't seem to scale too well beyond this - it feels unless you get 'lucky' with one row/column having a very low total, you end up with many man
34.
by jphoward 4y ago
Multi-GPU training is a double-edged sword. If you are at the stage where you are running your code in a iPython notebook then you are almost certainly not going to benefit from the multiple GPUs, and I strongly suspect you'd be bette
35.
by jphoward 4y ago
James Powell frequently gives very deep Python talks at conferences like Pydata, and shows you his coding approach in real time on Vim. Plenty of them are on YouTube and are worth a watch. This one [1] entitled "So you want to be a P
36.
by jphoward 4y ago
When I first read about JAX I thought it would kill Pytorch, but I'm not sure I can get on with an immutable language for tensor operations in deep learning. If I have an array `x` and want to set index 0 to 10, I cannot do: x[0] =
37.
by jphoward 4y ago
The hydraulic power utility is fascinating - the sheer amount of water lost via leaks from water piping in this century is huge, and so keeping a high pressure system running back then must have been tremendously difficult. Especially given
38.
by jphoward 4y ago
If you mean Aseem Malhotra, he is an idiot and nobody in the entire region of London that he trained in thinks he has an IQ above 100. Pre-COVID he was unemployably bad as a doctor, and has never had a formal job in the NHS since he comple
39.
by jphoward 4y ago
NNT is an interesting metric that people were very sanctimonious about when I was at university, but has rightly lost favour. This is because NNT is actually a terrible metric for any treatment that reduces risk over a long period, includin
40.
by jphoward 4y ago
Generally in Python it's much better to use list comprehensions when possible, it offers significant speedups usually: def zip(ls1, ls2): return [(ls1[i], ls2[i]) for i in range(min(len(ls1), len(ls2)))] And indeed you cou
41.
by jphoward 4y ago
I could eat a knob at night.
42.
by jphoward 4y ago
I use pytorch the vast majority of the time, but I think there are 2 reasons tensorflow remains competitive. First, is TF's deployment has always been ahead of Pytorch's (although the gap is closing, especially as Onnx becomes mor
43.
by jphoward 4y ago
I completely agree! I personally find these powerful new network releases border on the depressing, in that they aren’t really network releases but huge training systems of dispersed YAMLs. YOLOv4 was a case in point where I was too overwhe
44.
by jphoward 4y ago
This is likely to share its name with the next Prime Minister of the UK...
45.
by jphoward 4y ago
"almost five times larger than France and Sweden" - the UK population is almost 7 times that of Sweden, so that's quite flattering. But what are the reasons for France's relatively small tech industry?
46.
by jphoward 4y ago
RadiAnt is OK - it's got a trial license model but when the license expires you can request an extension for free (big WinRAR energy). There's nothing as good as Horos that is similarly free and open source, sadly. What you may p
47.
by jphoward 4y ago
Medical training (both med school, and early career) in the UK is in a fascinating situation at the moment. The term "morale is at an all time low" doesn't begin to cover the (justified) anger I see in them at the moment. I
48.
by jphoward 4y ago
But isn't it always on for "Hey Siri"?
49.
by jphoward 4y ago
But this is adjusting for the baseline illness, remember. This isn't just age-standardised mortality rates. It's disease-standardised mortality. Hopefully they've adjusted for confounders...
50.
by jphoward 4y ago
Is it me or is this very depressing and scary? I always assumed the creative industries would be relatively resistant to automation, with more algorithmic jobs more easily replaceable. But with this you never need to buy stock pictures ever
51.
by jphoward 4y ago
People don't feel guilt online, generally, because they either forget the person they are talking to is a vulnerable human, or they just imagine them as someone deserving of their vitriol. However, as soon as they are sat in front of s
52.
by jphoward 5y ago
Because dependency hell isn't dreadful enough? Some entries will be completely missing from requirements.txt because the person assumes a certain version of python is present.
53.
by jphoward 5y ago
This is a beautiful example of how bad Wikipedia is within mathematics and a lot of the physical sciences. An introduction such as this would be unacceptable on a page about medical sciences: "...is the peculiar manner in which the Fo
54.
by jphoward 6y ago
This is such a great example of how people that know math(s) really struggle to explain things to people who don't, because they struggle to realise how much lingo they are using. The first point explains something as basic as absolute
55.
by jphoward 6y ago
My understanding is Conway's game of life can be done by simply convolving a 3x3 array of all ones (except a central 0) through every pixel, and then looking at the results of that convolution to see if the pixel is dead or alive, e.g.
56.
by jphoward 6y ago
The results that should be used to compare their results to others involves training on just under 1.3 million images across the 1,000 classes. Their best results involve 'pretraining' on a dataset of 300 million examples, before
57.
by jphoward 6y ago
SOTA is 'state of the art'. Image recognition is a task classically appraised by calculating the accuracy on the ImageNet dataset, which requires a system to classify images each as one of 1,000 pre-determined classes.
58.
by jphoward 6y ago
I _love_ numpy, and I am getting excited about jax, too. However, I do have one request for it. Getting the argmax of a multi-dimensional array, in terms of the array's dimensions, is difficult for new users. np.argmax(np.array([[1,2,3
59.
by jphoward 6y ago
I found when I started programming I never used OOP. Then I used it too much. And then recently I use it incredibly sparingly. I think this is most people's experience. However, there are certain situations where I cannot imagine worki
60.
by jphoward 6y ago
All good points! Great work on the project and thank you for working to make Pandas more friendly!

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