Journal•ISSN: 1521-9615
Computing in Science and Engineering
AIP Publishing
About: Computing in Science and Engineering is an academic journal published by AIP Publishing. The journal publishes majorly in the area(s): Computer science & Data visualization. It has an ISSN identifier of 1521-9615. Over the lifetime, 1278 publications have been published receiving 65500 citations.
Papers published on a yearly basis
Papers
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TL;DR: Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.
Abstract: Matplotlib is a 2D graphics package used for Python for application development, interactive scripting,and publication-quality image generation across user interfaces and operating systems
23,312 citations
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TL;DR: In this article, the authors show how to improve the performance of NumPy arrays through vectorizing calculations, avoiding copying data in memory, and minimizing operation counts, which is a technique similar to the one described in this paper.
Abstract: In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort shows, NumPy performance can be improved through three techniques: vectorizing calculations, avoiding copying data in memory, and minimizing operation counts.
9,149 citations
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TL;DR: Python is an excellent "steering" language for scientific codes written in other languages, but with additional basic tools, it transforms into a high-level language suited for scientific and engineering code that's often fastenough to be immediately useful but also flexible enough to be sped up with additional extensions.
Abstract: Python is an excellent "steering" language for scientific codes written in other languages. However, with additional basic tools, Python transforms into a high-level language suited for scientific and engineering code that's often fast enough to be immediately useful but also flexible enough to be sped up with additional extensions.
2,841 citations
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TL;DR: The use of Python has become the de facto standard for exploratory, interactive, and computation-driven scientific research as mentioned in this paper, and several of the core Python libraries and tools used in scientific research have been discussed.
Abstract: Python has arguably become the de facto standard for exploratory, interactive, and computation-driven scientific research. This issue discusses Python's advantages for scientific research and presents several of the core Python libraries and tools used in scientific research.
1,240 citations
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TL;DR: The OpenCL standard offers a common API for program execution on systems composed of different types of computational devices such as multicore CPUs, GPUs, or other accelerators as mentioned in this paper, such as accelerators.
Abstract: The OpenCL standard offers a common API for program execution on systems composed of different types of computational devices such as multicore CPUs, GPUs, or other accelerators.
1,227 citations