The increasing size of scientific datasets has caused a deep transformation in the way scientific research is currently carried out. In multiple domains, Big Data challenges have called for novel software solutions ca...
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The increasing size of scientific datasets has caused a deep transformation in the way scientific research is currently carried out. In multiple domains, Big Data challenges have called for novel software solutions capable of exploiting fast computing resources, workflows technologies and parallel paradigms at scale, by providing a high-level of abstraction while hiding, at the same time, the underlying infrastructural and software complexity from scientists. This paper describes PyOphidia, an open-source python module for High Performance Data Analytics on multi-dimensional scientific datasets. PyOphidia aims to simplify the execution of parallel data analysis over scientific datacubes on High Performance Computing infrastructures. It can be easily integrated with other existing python libraries and tools, within multiple data science environments.
Generalized Minimal Residual Method (GMRES) was benchmarked on many types of GPUs for solving linear systems based on dense and sparse matrices. However, there are still no GMRES implementation benchmarks on Tesla V10...
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In many engineering domains, complex systems are composed of several interconnected and interacting parts that are modeled and analyzed in different ways. This is the case, for instance, of modern power systems, which...
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In many engineering domains, complex systems are composed of several interconnected and interacting parts that are modeled and analyzed in different ways. This is the case, for instance, of modern power systems, which are commonly labeled as "hybrid "for this very reason. This heterogeneity has triggered the development of numerical tools capable of simulating the different parts making up a hybrid system. Often, however, these tools either tackle a very specific aspect of power systems analysis (e.g., power flow computation), or are composed of interacting parts that rely on heuristics for their correct functioning. In this paper we describe pan, a free simulator developed in our group combining very high numerical efficiency with a vast choice of simulation algorithms suited for power system analysis. We also introduce three recently developed open -source interfaces to pan written in the MATLAB, python, and Julia programming languages, which greatly reduce development times and allow the user to incorporate power system analysis into extended simulation and analysis workflows. Together, these tools make up pansuite.
We present analytical formulae for the first and second derivatives of the Helmholtz free energy of non-relativistic ideal Fermi gas. Important thermodynamic quantities such as heat capacity, sound velocity, heat capa...
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We present analytical formulae for the first and second derivatives of the Helmholtz free energy of non-relativistic ideal Fermi gas. Important thermodynamic quantities such as heat capacity, sound velocity, heat capacity ratio, and others are explicitly expressed through the derivatives. We demonstrate correct ideal Boltzmann gas and low-temperature Fermi gas asymptotes and derive corrections to thermodynamic functions for these limiting cases. Numerical computations of thermodynamic properties of ideal Fermi gas can be accurately performed using the developed freely available python module ifg.
This is an update to PII: S2352711018300608 and S2352711019302419 and In this paper, we present three main improvements of ANDURIL and its python version ANDURYL. First the MATLAB version ANDURIL is brought to the Pyt...
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This is an update to PII: S2352711018300608 and S2352711019302419 and In this paper, we present three main improvements of ANDURIL and its python version ANDURYL. First the MATLAB version ANDURIL is brought to the python version standard by implementing (i) user defined quantiles and (ii) the possibility to deal with missing values. Second, the computational engines of both ANDURIL and ANDURYL were significantly improved making calculation time lower and improving further accuracy. Finally a standalone Graphical User Interface is presented which we believe will make the software more accessible to practitioners of Cooke's method. (C) 2020 Published by Elsevier B.V.
We present INCA (short for INfrastructure for Content Analysis), a python module for collecting, storing, processing, and analyzing a wide variety of media content, including but not limited to news, political debates...
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ISBN:
(纸本)9781538691564
We present INCA (short for INfrastructure for Content Analysis), a python module for collecting, storing, processing, and analyzing a wide variety of media content, including but not limited to news, political debates, social media, forums, and customer reviews. Using Elasticsearch as a database backend and Celery for task management, it makes automated content analysis scalable. INCA's main objective is to enable and promote an integrated workflow. INCA focuses on re-usability of data, processors, and analyses;making all steps of automated content analysis (ACA) accessible to social scientists, without requiring advanced programming skills. Here, we present the aim, implementation, and recommended workflow for INCA.
Background: Scripting languages such as python are ideally suited to common programming tasks in cheminformatics such as data analysis and parsing information from files. However, for reasons of efficiency, cheminform...
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Background: Scripting languages such as python are ideally suited to common programming tasks in cheminformatics such as data analysis and parsing information from files. However, for reasons of efficiency, cheminformatics toolkits such as the OpenBabel toolkit are often implemented in compiled languages such as C++. We describe Pybel, a python module that provides access to the OpenBabel toolkit. Results: Pybel wraps the direct toolkit bindings to simplify common tasks such as reading and writing molecular files and calculating fingerprints. Extensive use is made of python iterators to simplify loops such as that over all the molecules in a file. A Pybel Molecule can be easily interconverted to an OpenBabel OBMol to access those methods or attributes not wrapped by Pybel. Conclusion: Pybel allows cheminformaticians to rapidly develop python scripts that manipulate chemical information. It is open source, available cross-platform, and offers the power of the OpenBabel toolkit to python programmers.
Bakalárska práca sa venuje vytvoreniu notifikačného bota na vhodne zvolenom komunikačnom kanály. V teoretickej časti sa porovnávajú rôzne komunikačné kanály s ohľadom na ce...
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Bakalárska práca sa venuje vytvoreniu notifikačného bota na vhodne zvolenom komunikačnom kanály. V teoretickej časti sa porovnávajú rôzne komunikačné kanály s ohľadom na cenovú stránku, súkromie, šifrovanie, popularitu a ďalšie. Praktická časť popisuje registráciu a aplikačné nastavenie komunikácie, testy získavania dát a posielania správ na daný komunikačný kanál. Zaoberá sa návrhom komunikačného modulu s ukladaním tokenu a tajného kľúča spolu s zjednodušeným posielaním správ. Uvádza návrh a štruktúru notifikačného bota, ako aj návrh komunikačných rozhraní s možným pripojením aplikácií tretích strán. Kladie dôraz na rýchle a bezpečné šifrovanie cez vytvorené komunikačné rozhrania pomocou osvedčených postupov. Ďalším bodom v praktickej časti sa opisuje monitorovanie jednotlivých webových stránok s jednoduchým pridávaním webových stránok. Na záver sa preberá inštalácia obrazov a následné nasadenie programov vo vlastných kontajneroch pomocou programu Docker.
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