hogu

18 ms·

121.
Open sourcing my workflowy clone(eff.iciently.com)
3 points by hogu 13y ago|1 comments
122.
Monetize It! with stripe checkout, flask, and mongodb(eff.iciently.com)
1 points by hogu 13y ago|0 comments
123.
Easy payments - stripe checkout, flask, mongodb(eff.iciently.com)
4 points by hogu 13y ago|0 comments
124.
by hogu 13y ago
what are the pathological cases one runs into with gevent?
125.
by hogu 13y ago
the blog has been updated with some pypy benchmarks added (just as a gist) from the blog: https://gist.github.com/ahmadia/5638980 Update: At the request of several commenters, here is a test script and benchmarks that we ran on PyPy and A
126.
by hogu 13y ago
sorry if this is obvious - Is this useable in the browser? I couldn't find mention of this anywhere, But everything that is inolved (typed arrays) seem like they should work client side. thx.
127.
by hogu 13y ago
awesome WM + running gnome 3 services, so I can get the notification icons for nm-applet, etc..
128.
by hogu 13y ago
that's so garbage, I remember back in the early days, they were closing down accounts used in bitcoin exchanges. Getting money into bitcoin exchanges was a huge problem. Besides, with bitcoin, why use paypal? Is paypal going go try to act
129.
by hogu 13y ago
I've had pretty easy success moving my bottlenecks into Cython. With the development of Numba, https://github.com/numba/numba , this is going to become even easier(I work for the company that produces Numba, but I do not work on Numba).
130.
by hogu 14y ago
yea exactly - who does science without data. We've all been doing data science for years!
131.
by hogu 14y ago
I think hiring has shifted away from physics to signal processing, and machine learning people. But I am a signal processing guy so that maybe my bias. Also because we've moved away from complex derivatives.
132.
by hogu 14y ago
So, we ship anaconda with our own package management system, called conda. Conda is open source and was created because for scientific python, we need to manage versions of non-python libraries (blas/atlas/mkl,libhdf5, etc..). But you don
133.
by hogu 14y ago
That would have been my answer a year ago as well, however we've (continuum analytics) put out our own distribution now which gives you much more - all for free. https://store.continuum.io/cshop/anaconda
134.
by hogu 14y ago
it's a numpy-aware compiler - you either tell the jit decorator the types of the arguments the function will be called with, and that information is used in the compilation. It doesn't have to be NumPy arrays, but the type declaration mecha
135.
by hogu 14y ago
In the bokehjs repo, we have some unittests which demonstrate the capabilities - thus far we've focused mainly on getting things ready for demos, and we've SORELY neglected documentation, ease of getting others setup. But now that we have
136.
by hogu 14y ago
I wanted to comment on a argument that is common in many of the comments. Equality doesn't necessarily mean treating people the same. This is because the same policy or action can have different impact on different groups. For example, w
137.
by hogu 14y ago
well, it's pretty easy to go from canvas to png, which I think is more portable than svg + css
138.
by hogu 14y ago
You can get all these tools easily from the Anaconda Python Distribution, which is free, well supported,and includes all packages mentioned plus way more, including things like scikits learn. I work for continuum http://continuum.io/downl
139.
BLZ: A data format leveraging the hierarchical memory model(continuum.io)
76 points by hogu 14y ago|18 comments
140.
by hogu 14y ago
well you can do a single inverted pendulum pretty easily with a PID controller, it's the double inverted pendulum that is hard. But anything on a quadrocopter is really hard.
141.
Custom Python Environments in Wakari(continuum.io)
7 points by hogu 14y ago|0 comments
142.
by hogu 14y ago
people use R for much more than data visualization, doing regressions, fitting SVMs, decisions trees, GARCH and ARMA time series models, isn't really trivial in javascript. also ggplot, while more limited is way easier and faster than d3 fo
143.
by hogu 14y ago
when did IB get tick data? the last I checked they just had one second bars, which are totally different.
144.
by hogu 14y ago
I built something like this and abandoned it for that precise reason
145.
by hogu 14y ago
My understanding was that the key difference between awesome/xmonad workspaces, was that on awesome,you get X workspaces per screen, and on xmonad, you get X workspaces that you can display on any screens. The main difference being that xmo
146.
by hogu 14y ago
What do you think the world is waiting for, and what are these better desktop tools?
147.
by hogu 14y ago
Hey, you should try the Anaconda Community Edition. It's a larger download, but that's because it comes with more packages(which may be good or bad, depending on your opinion) But it by default installs into C:/Anaconda, and it allows you
148.
by hogu 14y ago
Do you work in scientific computing? I think if you did, then you would understand - Will bpython allow me to control a cluster of python processes to perform my scientific computation? - Will bpython allow me to create executable document
149.
PyData NYC videos posted(twitter.com)
1 points by hogu 14y ago|0 comments
150.
by hogu 14y ago
and you've been approved!

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