মিডিয়া
- টুইট
- টুইট এবং উত্তর
- মিডিয়া, বর্তমান পৃষ্ঠা।
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I enjoyed watching this video of an Amish Barn Raising. It is now my new favorite example for describing
#Dask , or distributed computational systems in general.https://www.youtube.com/watch?v=AsTB0HnM6WM … -
#AntiHype : Single large machines are often a surprisingly pragmatic computing platformpic.twitter.com/zhhNllFXMa
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Credit models with Dask. A guest post by Rich Postelnik using dask to build credit modelling computational systems. http://matthewrocklin.com/blog/work/2018/02/09/credit-models-with-dask … A fine example of complex "Big Data" workflows that fall outside of big dataframe/array/sql paradigms.pic.twitter.com/BEwCuOdQDh
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New Blog: HDF in the cloud An analysis of the challenges and potential solutions for scientific data on cloud storage http://matthewrocklin.com/blog/work/2018/02/06/hdf-in-the-cloud …pic.twitter.com/i86lDKNdwx
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New Blogpost: The case for Numba in community code http://matthewrocklin.com/blog/work/2018/01/30/the-case-for-numba …pic.twitter.com/BCMFgCXTs0
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I enjoyed reading this article comparing both performance and usability of
#Cython#Numpy and@numba_jit on the shallow-water model https://dionhaefner.github.io/2016/11/suck-less-scientific-python-part-2-efficient-number-crunching/ … The author also introduced me to the Bohrium library for optimized numpy-like computing: http://bohrium.readthedocs.io/ pic.twitter.com/M51TVckUEx -
It seems odd to me that web frameworks are all listed individually while all of the PyData stack is in a single item.pic.twitter.com/vu3t1EdFmN
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I've been playing with reactive/streaming systems recently. Here is a blogpost about streaming Pandas dataframes. http://matthewrocklin.com/blog/work/2017/10/16/streaming-dataframes-1 …pic.twitter.com/rV5BCUVFfg
এই থ্রেডটি দেখান -
See also
@jorisvdbossche companion post here: https://jorisvandenbossche.github.io/blog/2017/09/19/geopandas-cython/ …pic.twitter.com/8U91IM4pIt
এই থ্রেডটি দেখান -
Accelerating Geospatial analysis in Python with
#GeoPandas#Cython and#Dask http://matthewrocklin.com/blog/work/2017/09/21/accelerating-geopandas-1 … A recent project with@jorisvdbosschepic.twitter.com/9vnPQTX2SE
এই থ্রেডটি দেখান -
Video for
#SciPy2017#Dask talk on advanced techniques https://www.youtube.com/watch?v=ZxNPVTHQwGo … Slides: http://matthewrocklin.com/slides/scipy-2017.html#/ … -
The
#Dask and parallel computing tutorials are also busy finishing up for our#SciPy2017 tutorial tomorrow.pic.twitter.com/PdcY9yHYdi
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Blogpost:
#Dask scaling benchmarks with naive cluster configuration: http://matthewrocklin.com/blog/work/2017/07/03/scaling …pic.twitter.com/PLhcHO7EaZ
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I enjoyed this Spark Summit talk about the Ray Project using bottom-up task scheduling:https://www.youtube.com/watch?v=xadZRRB_TeI …
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Developing Convex Optimization Algorithms in Dask. New blogpost by Chris White and myself: http://matthewrocklin.com/blog/work/2017/03/22/dask-glm-1 …pic.twitter.com/QJIB1QIB2N
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Experiment with
#Dask and#XGBoost Notebook: https://gist.github.com/3696fe2398dc7152c66bf593a674e4d9 … Screencast: https://youtu.be/Cc4E-PdDSro GH Issue:https://github.com/dmlc/xgboost/issues/2032 … -
New blogpost: Custom algorithms on a cluster with
#Dask and#PyData http://matthewrocklin.com/blog/work/2017/01/24/dask-custom …pic.twitter.com/Wvr1oV9CN9
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New post: Distributed NumPy on a cluster with image analysis.
#Dask#PyData http://matthewrocklin.com/blog/work/2017/01/17/dask-images …pic.twitter.com/TYAvoj6IeP
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