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Array programming with NumPy

Charles R Harris, K Jarrod Millman, Stéfan J van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J Smith, Robert Kern, Matti Picus (+14 others)
<span title="2020-09-16">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/drfdii35rzaibj3aml5uhvr5xm" style="color: black;">Nature</a> </i> &nbsp;
NumPy is the primary array programming library for the Python language.  ...  Owing to its central position in the ecosystem, NumPy increasingly acts as an interoperability layer between such array computation libraries and, together with its application programming interface (API  ...  , 1 1 2 2 1 0 1 0 x with arrays x[0,1],x[1,2] 1 5 → → 0 1 1 2 , x[x > 9] with masks 10 11 → → 5 with scalars x[1,2] Fig. 1 | The NumPy array incorporates several fundamental array concepts. a, The NumPy  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41586-020-2649-2">doi:10.1038/s41586-020-2649-2</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32939066">pmid:32939066</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lbjamcrccfcrhbmytt6u4pqlym">fatcat:lbjamcrccfcrhbmytt6u4pqlym</a> </span>
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Array Programming with NumPy [article]

Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, Robert Kern, Matti Picus (+14 others)
<span title="2020-06-18">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
NumPy is the primary array programming library for the Python language.  ...  It is so pervasive that several projects, targeting audiences with specialized needs, have developed their own NumPy-like interfaces and array objects.  ...  Hugunin based his package on previous work by Jim Fulton, then working at the US Geological Survey, with input from many others.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.10256v1">arXiv:2006.10256v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cveua56uardwrkqggzn3ym242i">fatcat:cveua56uardwrkqggzn3ym242i</a> </span>
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Array programming with NumPy

Charles R. Harris, K. Jarrod Millman, Stéfan J. Van Der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, Robert Kern, Matti Picus (+15 others)
<span title="2020-12-24">2020</span>
NumPy is the primary array programming library for the Python language.  ...  Owing to its central position in the ecosystem, NumPy increasingly acts as an interoperability layer between such array computation libraries and, together with its application programming interface (API  ...  We also test with the s390x architecture (IBM Z CPUs on Travis CI) so that we can probe the behavior of our library on a big-endian machine.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17863/cam.62701">doi:10.17863/cam.62701</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2t7vcej3crapreiwdcwc74dqgi">fatcat:2t7vcej3crapreiwdcwc74dqgi</a> </span>
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Numerical Python for scalable architectures

Mads Ruben Burgdorff Kristensen, Brian Vinter
<span title="">2010</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qbxod4os6bedxcfksuorov2poy" style="color: black;">Proceedings of the Fourth Conference on Partitioned Global Address Space Programming Model - PGAS &#39;10</a> </i> &nbsp;
Replacing NumPy with Dist-NumPy enables the user to write sequential Python programs that seamlessly utilize distributed memory architectures.  ...  DistNumPy extends the NumPy module [15] , which is popular for scientific programming.  ...  The performance of NumPy programs that make use of arrayviews that are not aligned with the distribution block size is very poor because each array element is handled individually.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2020373.2020388">doi:10.1145/2020373.2020388</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/pgas/KristensenV10.html">dblp:conf/pgas/KristensenV10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/limzw33qgnfhtmtbqlcpf3xu6i">fatcat:limzw33qgnfhtmtbqlcpf3xu6i</a> </span>
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cphVB: A System for Automated Runtime Optimization and Parallelization of Vectorized Applications [article]

Mads Ruben Burgdorff Kristensen, Simon Andreas Frimann Lund, Troels Blum, Brian Vinter
<span title="2013-03-25">2013</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The work in this paper introduces a new abstract machine framework, cphVB, that enables vector oriented high-level programming languages to map onto a broad range of architectures efficiently.  ...  The Bridge operates with two address spaces for arrays: the cphVB space and the NumPy space. All arrays starts in the NumPy space as a default.  ...  NumPy provides the programmer with a multidimensional array object and a whole range of supported array operations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1210.7774v2">arXiv:1210.7774v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2lti3g22pngebbjouvvndnivly">fatcat:2lti3g22pngebbjouvvndnivly</a> </span>
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A Numpy-First Approach to Teaching CS1 to Natural Science Students

Elizabeth Patitsas
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/is7dqxt4svgqxkkuzl2iw6vkvq" style="color: black;">Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE &#39;15</a> </i> &nbsp;
Students were taught about numpy arrays and matrix manipulations before learning lists and loops.  ...  Numpy (Numerical Python) and Scipy (Scientific Python) are Python libraries for doing numerical/scientific work that are popular with research scientists, as they allow for matrixbased computation in Python  ...  Numpy introducing array filtering, which means that students work with arrays of booleans before encountering conditionals. This reduces cognitive load. 3.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2729094.2754861">doi:10.1145/2729094.2754861</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iticse/Patitsas15.html">dblp:conf/iticse/Patitsas15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7epzmh32lre4lifrhqzajc3ar4">fatcat:7epzmh32lre4lifrhqzajc3ar4</a> </span>
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PypeR, APythonPackage for UsingRinPython

Xiao-Qin Xia, Michael McClelland, Yipeng Wang
<span title="">2010</span> <i title="Foundation for Open Access Statistic"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yr3cv2yayvhvdcoj6lb4qw36kq" style="color: black;">Journal of Statistical Software</a> </i> &nbsp;
By running R through pipe, the Python program gains flexibility in sub-process controls, memory control, and portability across popular operating system platforms, including Windows, GNU Linux and Mac  ...  array Vector 1-dimension NumPy record array Data frame 2-dimension NumPy array Matrix Other NumPy array Array Table 2 : 2 Conventions for conversion of Python objects to R objects.  ...  Also, in comparison to RPy and RPy2, PypeR provides more extensive and convenient support for NumPy arrays, which are widely used in Python scientific programming.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18637/jss.v035.c02">doi:10.18637/jss.v035.c02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gbpjp4icy5h5ndzryqt77lvrk4">fatcat:gbpjp4icy5h5ndzryqt77lvrk4</a> </span>
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Performance and productivity of parallel python programming

Achim Basermann, Melven Röhrig-Zöllner, Joachim Illmer
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zigbcra6rjdivda6lkzknwuo5q" style="color: black;">Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing - PyHPC &#39;15</a> </i> &nbsp;
The combination of Python with NumPy allows similarly comfortable programming as with Matlab.  ...  Computations with local variables are performed with NumPy arrays.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2835857.2835859">doi:10.1145/2835857.2835859</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sc/BasermannRI15.html">dblp:conf/sc/BasermannRI15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7c5roe2l65fcdlmjsscctyhq2q">fatcat:7c5roe2l65fcdlmjsscctyhq2q</a> </span>
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Arrays and Plotting [chapter]

Joakim Sundnes
<span title="">2020</span> <i title="Springer International Publishing"> Introduction to Scientific Programming with Python </i> &nbsp;
In addition, it is useful to introduce the package named NumPy, which is useful for storing storing arrays of data for efficient computations.  ...  As always, we could import it with from numpy import *, but this is a bad habit, since numpy and math contain many functions with the same name, and we will often use both modules in the same program.  ...  However, vectors are so useful and common in scientific programming that a special data structure has been created for them: the NumPy array.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-50356-7_6">doi:10.1007/978-3-030-50356-7_6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/taec2wbpxzdxzdvepzl45uevcq">fatcat:taec2wbpxzdxzdvepzl45uevcq</a> </span>
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mmappickle: Python 3 module to store memory-mapped numpy array in pickle format

Laurent Fasnacht
<span title="2018-06-18">2018</span> <i title="The Open Journal"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3gk7mr6lhvdwnkgcicv7r2lrry" style="color: black;">Journal of Open Source Software</a> </i> &nbsp;
Mmappickle is a Python 3 library which enables storing large numpy arrays into a file, along with the associated metadata, and to retrieve it in such a way that the numpy array are memory-mapped (numpy.memmap  ...  source code: numpy/lib/format.py," n.d.), which is not documented in the numpy main documentation.  ...  Mmappickle is also the only approach capable of handling arrays with masked values (i.e. missing data). This library is currently used for storing and processing hyperspectral imaging data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21105/joss.00651">doi:10.21105/joss.00651</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xeo6kaljmzhqpbkzic7csqpmsi">fatcat:xeo6kaljmzhqpbkzic7csqpmsi</a> </span>
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A Python HPC Framework: PyTrilinos, ODIN, and Seamless

K.W. Smith, W.F. Spotz, S. Ross-Ross
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zigbcra6rjdivda6lkzknwuo5q" style="color: black;">2012 SC Companion: High Performance Computing, Networking Storage and Analysis</a> </i> &nbsp;
We present three Python software projects: PyTrilinos, for calling Trilinos distributed memory HPC solvers from Python; Optimized Distributed NumPy (ODIN), for distributed array computing; and Seamless  ...  Being a distributed data structure with support for NumPy array expressions, ODIN does support parallelization of NumPy computations, frequently with little to no modification of the original serial NumPy  ...  Global array operations The global mode of interaction with ODIN arrays provides a straightforward, NumPy-like interface to distributed array computations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/sc.companion.2012.83">doi:10.1109/sc.companion.2012.83</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sc/SmithSR12.html">dblp:conf/sc/SmithSR12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zdzxyjgupbez5dmvnpzfhylleq">fatcat:zdzxyjgupbez5dmvnpzfhylleq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808151544/http://www.dlr.de/sc/en/Portaldata/15/Resources/dokumente/pyhpc2012/submissions/pyhpc2012_submission_5.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cd/b0/cdb05b0b14edc20e8efa4fc6579c108f6b6acc35.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/sc.companion.2012.83"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Few More Steps [chapter]

Svein Linge, Hans Petter Langtangen
<span title="2019-10-31">2019</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q5u3nx2lajeh3dmibr5wwwunhe" style="color: black;">Texts in Computational Science and Engineering</a> </i> &nbsp;
This means that we communicate with the Python interpreter via a particular interface.  ...  Python can also be used interactively, in which case we do not first write a program, store it in a file and then execute it.  ...  If you have an array 15 with numbers, you can shuffle those numbers in a randomized way with the shuffle function, Note that also numpy allows the seed to be set.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-16877-3_2">doi:10.1007/978-3-030-16877-3_2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3vipkzl33bbzlduh4bkj76w42q">fatcat:3vipkzl33bbzlduh4bkj76w42q</a> </span>
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Array Computing and Curve Plotting [chapter]

Hans Petter Langtangen
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> Texts in Computational Science and Engineering </i> &nbsp;
), not math's cos (for scalars) if we have done from numpy import cos or from numpy import * Summarizing array example Make two arrays x and y with 51 coordinates x i and y A plot should have labels  ...  ,k-1 slice: reference data with indices 1, 4,. . . ,7 b = a.copy() copy an array sin(a), exp(a), ... numpy functions applicable to arrays c = concatenate(a, b) c contains a with b appended c = where(cond  ... 
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Array Computing and Curve Plotting [chapter]

Hans Petter Langtangen
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> Texts in Computational Science and Engineering </i> &nbsp;
with same size as another array: # x is numpy array a = x.copy() # or a = zeros(x.shape, x.dtype) Make sure a list or array is an array: a = asarray(a) b = asarray (somearray, dtype=float) Test if an  ...  Summarizing array example Make two arrays x and y with 51 coordinates x i and y i = f (x i ) on the curve y = f (x), for x ∈ [0, 5] and f (x) = e −x sin(ωx): from numpy import linspace, exp, sin, pi def  ... 
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High-performance Python for crystallographic computing

A. Boulle, J. Kieffer
<span title="2019-07-24">2019</span> <i title="International Union of Crystallography (IUCr)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cwa7fmuhpjemdknjvjrxvpyaze" style="color: black;">Journal of Applied Crystallography</a> </i> &nbsp;
The Python programming language, combined with the numerical computing library NumPy and the scientific computing library SciPy, has become the de facto standard for scientific computing in a variety of  ...  NumPy introduces vector programming, improving execution speeds, whereas SciPy brings a wealth of highly optimized and reliable scientific functions.  ...  Acknowledgments All figures have been generated with the scientific plotting program Veusz (https://veusz.github.io/). AB is thankful to D.  ... 
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