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#numexpr search results

PiR_K's profile picture. Interested in software, #eCash $XEC, economic freedom, permaculture and plant propagation.
PiRK
 @PiR_K
Jul 12, 2018

#numexpr is an easy way to improve performances in #Python for some simple use-cases (mostly for element-wise array operations)

PiR_K's tweet image. #numexpr is an easy way to improve performances in #Python for some simple use-cases (mostly for element-wise array operations)
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IntelDevTools's profile picture. @Intel’s hub for all things #oneAPI — an open source model for #developers looking to accelerate and optimize heterogeneous workloads across architectures.
Software Dev Tools
@IntelDevTools
Aug 28, 2019

In the latest issue of The Parallel Universe read about the vectorization capabilities of #NumExpr and other #programminglanguages through the lens of Parallelism in Python®: Directing Vectorization with NumExpr. intel.ly/2OxEJ3d

IntelDevTools's tweet image. In the latest issue of The Parallel Universe read about the vectorization capabilities of #NumExpr and other #programminglanguages through the lens of Parallelism in Python®: Directing Vectorization with NumExpr. intel.ly/2OxEJ3d
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loicaroyer's profile picture. Director of Imaging AI & Sr. Group Leader @czbiohub SF #zfish #devbio #zebrahub #SelfSupervised #AI #Lightsheet #Imaging co-creator of @napari_imaging
Loïc A. Royer 💻🔬⚗️
 @loicaroyer
Nov 8, 2021

Building Aydin would not have been possible without the amazing libraries that we depend on: @napari_imaging #scikitimage @numpy_team @CatBoostML #LightGBM @numba_jit #numexpr #PyQt5 @vispyproject @TensorFlow @fchollet ‘s #Keras @zarr_dev 18/n

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taupirho's profile picture.
Thomas Reid
 @taupirho
May 18

Want faster NumPy without rewriting your code? Meet NumExpr — a hidden gem that supercharges numerical expressions using multi-threading & clever optimisation. It’s faster. It’s lightweight and you’ve probably never heard of it. towardsdatascience.com/numexpr-the-fa… #Python #NumPy #NumExpr

taupirho's tweet card. A comparative performance test with NumPy
NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used | Towards Data Science
Source: towardsdatascience.com
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FrancescAlted's profile picture. Creator and BDFL of Blosc/@Blosc2. Co-founder and CEO of https://t.co/fi245VDWvZ. Love Python & C. https://t.co/yyWPV7377A
Francesc Alted @[email protected]
 @FrancescAlted
May 23, 2017

Also glad that #numexpr got another grant. numexpr 3 is going to be a massive improvement in terms of performance!

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FrancescAlted's profile picture. Creator and BDFL of Blosc/@Blosc2. Co-founder and CEO of https://t.co/fi245VDWvZ. Love Python & C. https://t.co/yyWPV7377A
Francesc Alted @[email protected]
 @FrancescAlted
Jan 29, 2017

ANN: #numexpr 2.6.2, with several fixes and improvements is out: github.com/pydata/numexpr…. Thanks to all contributors! Enjoy Data!

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FrancescAlted's profile picture. Creator and BDFL of Blosc/@Blosc2. Co-founder and CEO of https://t.co/fi245VDWvZ. Love Python & C. https://t.co/yyWPV7377A
Francesc Alted @[email protected]
 @FrancescAlted
Jan 4, 2017

#numexpr going 2.4x faster than skimage.draw() (made in pure Cython) for 1 core and more than 11x for 12 cores: entropyproduction.blogspot.com.es/2016/11/polygo…

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qtalen's profile picture. I was with Alibaba as a senior data scientist , and now I am the chief architect in the big data field at a major brokerage firm in China.
Peng Qian
 @qtalen
Oct 23, 2023

Unlock performance improvements in Numpy with my latest article on using Numexpr for multidimensional array operations. A must-read for anyone looking to optimize their code! #Python #Numexpr #Numpy #DataScience #Coding Check it out: dataleadsfuture.com/how-to-optimiz…

dataleadsfuture.com

How to Optimize Multidimensional Numpy Array Operations with Numexpr

A real-world case study of performance optimization in Numpy

Source: dataleadsfuture.com
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PiR_K's profile picture. Interested in software, #eCash $XEC, economic freedom, permaculture and plant propagation.
PiRK
 @PiR_K
Jul 25, 2019

Set of tutorials for high performance computing with python, applied to crystallography @SciPyTip @esrfsynchrotron #python #numexpr #pythran #cython #numba journals.iucr.org/j/issues/2019/…

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westurner's profile picture. Thinker, Inventor, Software Developer, Web Engineer, Sciencer, Writer, Entrepreneurer (He/Him)
Wes Turner
 @westurner
Jul 22, 2020

Is it any faster / is the query plan any more time-efficient with: - "Expression evaluation via eval()" #numexpr pandas.pydata.org/pandas-docs/st… - df.query with "The in and not in operators" pandas.pydata.org/docs/user_guid… - Ibis Pandas backend & trace function (~= SQL query plan)

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nicodelleside's profile picture. «Si sta come/ d'inverno/ nelle case/ le persone». Mi piace quello che faccio. RT ~ pV/n
Domenico Delle Side
 @nicodelleside
Sep 14, 2017

impressive #python speedup with little tweaks: thanks #numba and #numexpr

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DebianNew's profile picture. The new Debian packages waiting in the NEW queue. See also @debianupload, @debianbug and @debianremove Maintained by @SylvestreLedru
Debian New Packages
 @DebianNew
Feb 15, 2012

New package: #numexpr Version: 1.4.2-2 by Antonio Valentino ... deb.li/frs4

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FrancescAlted's profile picture. Creator and BDFL of Blosc/@Blosc2. Co-founder and CEO of https://t.co/fi245VDWvZ. Love Python & C. https://t.co/yyWPV7377A
Francesc Alted @[email protected]
 @FrancescAlted
Sep 14, 2015

Cool experiment on how 4 levels of cache in modern CPUs affect performance: bitsofbits.com/2014/09/21/num… Multithreaded #numexpr is also mentioned

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nicodelleside's profile picture. «Si sta come/ d'inverno/ nelle case/ le persone». Mi piace quello che faccio. RT ~ pV/n
Domenico Delle Side
 @nicodelleside
Sep 15, 2017

going from ~26 to 1.7 hours of execution time, not so bad with just a handful line of code change #python #numexpr #numba #pyfftw

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gj_cibic's profile picture. Data Scientist | Astronomy Enthusiast
George Joseph, PhD
 @gj_cibic
Jun 24, 2020

Testing #NumExpr (aka pd.eval()) suggested by Tirthajyoti SarkarSarkar buff.ly/2CnK07L. It's even faster than #Numba's vectorization on complex numbers (CPU). This means one can do #DeepLearning with another option to customise their objective loss!

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taupirho's profile picture.
Thomas Reid
 @taupirho
May 18

Want faster NumPy without rewriting your code? Meet NumExpr — a hidden gem that supercharges numerical expressions using multi-threading & clever optimisation. It’s faster. It’s lightweight and you’ve probably never heard of it. towardsdatascience.com/numexpr-the-fa… #Python #NumPy #NumExpr

taupirho's tweet card. A comparative performance test with NumPy
NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used | Towards Data Science
Source: towardsdatascience.com
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qtalen's profile picture. I was with Alibaba as a senior data scientist , and now I am the chief architect in the big data field at a major brokerage firm in China.
Peng Qian
 @qtalen
Oct 23, 2023

Unlock performance improvements in Numpy with my latest article on using Numexpr for multidimensional array operations. A must-read for anyone looking to optimize their code! #Python #Numexpr #Numpy #DataScience #Coding Check it out: dataleadsfuture.com/how-to-optimiz…

dataleadsfuture.com

How to Optimize Multidimensional Numpy Array Operations with Numexpr

A real-world case study of performance optimization in Numpy

Source: dataleadsfuture.com
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31
loicaroyer's profile picture. Director of Imaging AI & Sr. Group Leader @czbiohub SF #zfish #devbio #zebrahub #SelfSupervised #AI #Lightsheet #Imaging co-creator of @napari_imaging
Loïc A. Royer 💻🔬⚗️
 @loicaroyer
Nov 8, 2021

Building Aydin would not have been possible without the amazing libraries that we depend on: @napari_imaging #scikitimage @numpy_team @CatBoostML #LightGBM @numba_jit #numexpr #PyQt5 @vispyproject @TensorFlow @fchollet ‘s #Keras @zarr_dev 18/n

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westurner's profile picture. Thinker, Inventor, Software Developer, Web Engineer, Sciencer, Writer, Entrepreneurer (He/Him)
Wes Turner
 @westurner
Jul 22, 2020

Is it any faster / is the query plan any more time-efficient with: - "Expression evaluation via eval()" #numexpr pandas.pydata.org/pandas-docs/st… - df.query with "The in and not in operators" pandas.pydata.org/docs/user_guid… - Ibis Pandas backend & trace function (~= SQL query plan)

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DataBloggerInfo's profile picture. Byte-sized AI & Data Posts.
Data Blogger
 @DataBloggerInfo
Jul 10, 2020

Speed up your Numpy and Pandas with NumExpr Package #numexpr #python #pandas #numpy kdnuggets.com/?p=112653

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DataBloggerInfo's profile picture. Byte-sized AI & Data Posts.
Data Blogger
 @DataBloggerInfo
Jul 7, 2020

Speed up your Numpy and Pandas with NumExpr Package #numexpr #python #pandas #numpy kdnuggets.com/?p=112653

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gj_cibic's profile picture. Data Scientist | Astronomy Enthusiast
George Joseph, PhD
 @gj_cibic
Jun 24, 2020

Testing #NumExpr (aka pd.eval()) suggested by Tirthajyoti SarkarSarkar buff.ly/2CnK07L. It's even faster than #Numba's vectorization on complex numbers (CPU). This means one can do #DeepLearning with another option to customise their objective loss!

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0
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IntelDevTools's profile picture. @Intel’s hub for all things #oneAPI — an open source model for #developers looking to accelerate and optimize heterogeneous workloads across architectures.
Software Dev Tools
@IntelDevTools
Aug 28, 2019

In the latest issue of The Parallel Universe read about the vectorization capabilities of #NumExpr and other #programminglanguages through the lens of Parallelism in Python®: Directing Vectorization with NumExpr. intel.ly/2OxEJ3d

IntelDevTools's tweet image. In the latest issue of The Parallel Universe read about the vectorization capabilities of #NumExpr and other #programminglanguages through the lens of Parallelism in Python®: Directing Vectorization with NumExpr. intel.ly/2OxEJ3d
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PiR_K's profile picture. Interested in software, #eCash $XEC, economic freedom, permaculture and plant propagation.
PiRK
 @PiR_K
Jul 25, 2019

Set of tutorials for high performance computing with python, applied to crystallography @SciPyTip @esrfsynchrotron #python #numexpr #pythran #cython #numba journals.iucr.org/j/issues/2019/…

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PiR_K's profile picture. Interested in software, #eCash $XEC, economic freedom, permaculture and plant propagation.
PiRK
 @PiR_K
Jul 12, 2018

#numexpr is an easy way to improve performances in #Python for some simple use-cases (mostly for element-wise array operations)

PiR_K's tweet image. #numexpr is an easy way to improve performances in #Python for some simple use-cases (mostly for element-wise array operations)
1
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nicodelleside's profile picture. «Si sta come/ d'inverno/ nelle case/ le persone». Mi piace quello che faccio. RT ~ pV/n
Domenico Delle Side
 @nicodelleside
Sep 15, 2017

going from ~26 to 1.7 hours of execution time, not so bad with just a handful line of code change #python #numexpr #numba #pyfftw

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0
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nicodelleside's profile picture. «Si sta come/ d'inverno/ nelle case/ le persone». Mi piace quello che faccio. RT ~ pV/n
Domenico Delle Side
 @nicodelleside
Sep 14, 2017

impressive #python speedup with little tweaks: thanks #numba and #numexpr

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0
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FrancescAlted's profile picture. Creator and BDFL of Blosc/@Blosc2. Co-founder and CEO of https://t.co/fi245VDWvZ. Love Python & C. https://t.co/yyWPV7377A
Francesc Alted @[email protected]
 @FrancescAlted
May 23, 2017

Also glad that #numexpr got another grant. numexpr 3 is going to be a massive improvement in terms of performance!

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FrancescAlted's profile picture. Creator and BDFL of Blosc/@Blosc2. Co-founder and CEO of https://t.co/fi245VDWvZ. Love Python & C. https://t.co/yyWPV7377A
Francesc Alted @[email protected]
 @FrancescAlted
Jan 29, 2017

ANN: #numexpr 2.6.2, with several fixes and improvements is out: github.com/pydata/numexpr…. Thanks to all contributors! Enjoy Data!

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No results for "#numexpr"
PiR_K's profile picture. Interested in software, #eCash $XEC, economic freedom, permaculture and plant propagation.
PiRK
 @PiR_K
Jul 12, 2018

#numexpr is an easy way to improve performances in #Python for some simple use-cases (mostly for element-wise array operations)

PiR_K's tweet image. #numexpr is an easy way to improve performances in #Python for some simple use-cases (mostly for element-wise array operations)
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IntelDevTools's profile picture. @Intel’s hub for all things #oneAPI — an open source model for #developers looking to accelerate and optimize heterogeneous workloads across architectures.
Software Dev Tools
@IntelDevTools
Aug 28, 2019

In the latest issue of The Parallel Universe read about the vectorization capabilities of #NumExpr and other #programminglanguages through the lens of Parallelism in Python®: Directing Vectorization with NumExpr. intel.ly/2OxEJ3d

IntelDevTools's tweet image. In the latest issue of The Parallel Universe read about the vectorization capabilities of #NumExpr and other #programminglanguages through the lens of Parallelism in Python®: Directing Vectorization with NumExpr. intel.ly/2OxEJ3d
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