Lofkin

8 ms·

31.
by Lofkin 11y ago
Sure! If you like it, can you please blog about it (and post on hn)? Needs exposure outside the python data community.
32.
by Lofkin 11y ago
Your example is trivially parallelized with some decorators from the dask library. Example here: http://dask.pydata.org/en/latest/imperative.html
33.
Dask: Python parallel computing through task scheduling and blocked algorithms(dask.pydata.org)
5 points by Lofkin 11y ago|0 comments
34.
by Lofkin 11y ago
Have you seen this: http://dask.pydata.org/en/latest/
35.
by Lofkin 11y ago
They pretty much already did, but with 3.x: http://pyparallel.org/
36.
by Lofkin 11y ago
Better multitasking and concurrency syntax, with task scheduling and out of core support here: http://dask.pydata.org/
37.
by Lofkin 11y ago
Try this: http://dask.pydata.org/
38.
by Lofkin 11y ago
You can use python, call out to R libraries with Rpy2 and speed up loops to faster than Julia and around native Speed with numba
39.
by Lofkin 11y ago
Try numba in python. Its usually fortran fast and often faster than Julia.
40.
Building web powered applications in Julia(youtube.com)
2 points by Lofkin 11y ago|0 comments
41.
Building Office Add-Ins Using Python [video](channel9.msdn.com)
3 points by Lofkin 11y ago|0 comments
42.
by Lofkin 11y ago
Any thoughts on what this guy is saying?
43.
by Lofkin 11y ago
Check this out for frontend in python: https://github.com/zoofIO/flexx
44.
by Lofkin 11y ago
I would suggest either using this: https://github.com/yhat/ggplot or this : https://github.com/bokeh/bokeh/pulse
45.
Flexx: Write reactive web GUIs in pure python(github.com)
2 points by Lofkin 11y ago|0 comments
46.
Flexx: Python UI tookit based on web technology(github.com)
2 points by Lofkin 11y ago|0 comments
47.
Introducing OnlineStats.jl: Online statistics for Julia(groups.google.com)
13 points by Lofkin 11y ago|0 comments
48.
by Lofkin 11y ago
So Julia then :)
49.
by Lofkin 11y ago
Numba for python also has a no copies vectorization mode.
50.
by Lofkin 11y ago
Personally I'm tempted to make the switch to Julia, but slow higher order functions, high churn in the core data infrastructure and no Pymc 3 are keeping me on pydata for a bit longer. I have numba to hold me over.
51.
by Lofkin 11y ago
For stats plotting in python: https://github.com/mwaskom/seaborn https://github.com/yhat/ggplot For stats plotting and web apps in python: https://github.com/bokeh/bokeh For
52.
Python, Machine Learning, and Language Wars. A Highly Subjective Point of View(sebastianraschka.com)
167 points by Lofkin 11y ago|93 comments
53.
by Lofkin 11y ago
What don't you like about python? Just curious. There is this for HMC, NUTS gibbs etc : https://github.com/JuliaStats/Lora.jl But its not ready to use yet it think.
54.
by Lofkin 11y ago
Where do you see that researchers are posting new code in julia?
55.
by Lofkin 11y ago
Exactly!
56.
Parallel Out-Of-Core Dataframes in Python: Dask and OpenStreetMap(jakevdp.github.io)
48 points by Lofkin 11y ago|8 comments
57.
by Lofkin 11y ago
Actually many more general constructs like lists and class definitions are on the roadmap or in open PRs.
58.
by Lofkin 11y ago
Actually list support in numba is WIP
59.
Eight Tools That Show What’s on the Horizon for the Python Data Ecosystem(galvanize.com)
2 points by Lofkin 11y ago|0 comments
60.
by Lofkin 11y ago
Congrats! Looking forward to additional work on the already amazing pydata stack. Thanks for all your contributions to the community!

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