Lofkin · HackerTrans

Lofkin

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Submissions

Static, Ahead of Time Compiled Julia

juliacomputing.com

112 pointsby Lofkinvor 10 Jahren84 comments

Continuum Analytics experienced 87 percent revenue increase in 2015

continuum.io

1 pointsby Lofkinvor 10 Jahren0 comments

Transcrypt: Lean Python to JavaScript transpiler with small downloads

github.com

3 pointsby Lofkinvor 10 Jahren0 comments

Pyjion – A JIT for Python based upon CoreCLR

github.com

72 pointsby Lofkinvor 10 Jahren23 comments

Julia Statistics Roadmap

reddit.com

2 pointsby Lofkinvor 11 Jahren0 comments

Calling R in Python

mathewanalytics.com

2 pointsby Lofkinvor 11 Jahren0 comments

Xlwings: Replace Excel VBA with Python

github.com

1 pointsby Lofkinvor 11 Jahren1 comments

VOC: A transpiler that converts Python bytecode into Java bytecode

github.com

121 pointsby Lofkinvor 11 Jahren49 comments

Python regex for Humans

github.com

1 pointsby Lofkinvor 11 Jahren0 comments

PyMC 3: A Python probabilistic programming framework

github.com

4 pointsby Lofkinvor 11 Jahren0 comments

Dask: Python parallel computing through task scheduling and blocked algorithms

dask.pydata.org

5 pointsby Lofkinvor 11 Jahren0 comments

Building web powered applications in Julia

youtube.com

2 pointsby Lofkinvor 11 Jahren0 comments

Building Office Add-Ins Using Python [video]

channel9.msdn.com

3 pointsby Lofkinvor 11 Jahren0 comments

Flexx: Write reactive web GUIs in pure python

github.com

2 pointsby Lofkinvor 11 Jahren0 comments

Flexx: Python UI tookit based on web technology

github.com

2 pointsby Lofkinvor 11 Jahren0 comments

Introducing OnlineStats.jl: Online statistics for Julia

groups.google.com

13 pointsby Lofkinvor 11 Jahren0 comments

Python, Machine Learning, and Language Wars. A Highly Subjective Point of View

sebastianraschka.com

167 pointsby Lofkinvor 11 Jahren93 comments

Parallel Out-Of-Core Dataframes in Python: Dask and OpenStreetMap

jakevdp.github.io

48 pointsby Lofkinvor 11 Jahren8 comments

Eight Tools That Show What’s on the Horizon for the Python Data Ecosystem

galvanize.com

2 pointsby Lofkinvor 11 Jahren0 comments

Easy pure python parallel workflows (OOC and in memory)

matthewrocklin.com

3 pointsby Lofkinvor 11 Jahren0 comments

comments

vor 10 Jahrendiscuss

What do you think of bokeh: https://github.com/DataWookie/MonthOfJulia

vor 10 Jahrendiscuss

Does this work on windows? Rapydscript does not IIRC

vor 10 Jahrendiscuss

Call the libraries with Rpy2, or build models using a DAG of functions and distributions with pymc 3

vor 10 Jahrendiscuss

Have you seen numba? Compiles numerical python approaching fortran speeds

vor 10 Jahrendiscuss

Nuitka is already faster than Cpython and it seems a majority of the speed work has yet to be done.

vor 10 Jahrendiscuss

Julia will when it can compile to web assembly

vor 10 Jahrendiscuss

Awesome!

A while back there was some talk of native excel-python integration. Any chance that is in the pipes, or is MS sticking to R in that sense?

vor 10 Jahrendiscuss

Sweet, new Microsoft is awesome!

Pyston seems to be catching up to PyPy fairly quickly ...not sure if there is anything transferable to pyjion, but if you haven't done so might be worth checking out.

Also for getting around the GIL, PyParallel seems to have a really interesting (and seemingly successful approach: http://pyparallel.org/

Its being worked on by one of the Guy's at continuum...and It's definitely in continuum's best interest to help python's future so I'm sure they wouldn't mind collab.

vor 10 Jahrendiscuss

Exciting work! Is pyjion exploratory or is MS determined to see this through?

vor 10 Jahrendiscuss

What sort of diet and supplements?

vor 10 Jahrendiscuss

Nuitka?

vor 11 Jahrendiscuss

For now...

vor 11 Jahrendiscuss

Not a problem for Julia: https://github.com/Keno/Cxx.jl

vor 11 Jahrendiscuss

What about when Julia gets those things?

vor 11 Jahrendiscuss

Thoughts on Julia?

vor 11 Jahrendiscuss

Solved here: http://www.ibis-project.org/index.html

vor 11 Jahrendiscuss

Makes sense. Thanks for both your open source work and your reply!

vor 11 Jahrendiscuss

Also, any plans for the stats ecosystem? (dataframe, dashboards, imputation, data cleaning etc)

It is still a bit wanting.

vor 11 Jahrendiscuss

"However, it gives us the ability to do some really amazing things with our array infrastructure going forward."

What kind of things? Super curious.

vor 11 Jahrendiscuss

The GIL issue has been solved without breaking backwards compat: http://pyparallel.org/

It just need further dev work and acceptance into py3