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Journal articles on the topic 'NumpPy'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

Harris, Charles R., K. Jarrod Millman, Stéfan J. van der Walt, et al. "Array programming with NumPy." Nature 585, no. 7825 (2020): 357–62. http://dx.doi.org/10.1038/s41586-020-2649-2.

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AbstractArray programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It has an essential role in research analysis pipelines in fields as diverse as physics, chemistry, astronomy, geoscience, biology, psychology, materials science, engineering, finance and economics. For example, in astronomy, NumPy was an important part of the software stack used in the discovery of gravitational waves1 and in the first imaging of

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Ruda, Marta. "Polish Personal Pronouns: [PersPPers [NumPNum [n]]] and [NumP Num [n]]1." Studies in Polish Linguistics 16, no. 1 (2021): 23–40. http://dx.doi.org/10.4467/23005920spl.21.002.13956.

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W niniejszym krótkim artykule argumentujęza przyjęciem założenia, że zaimki osobowe w języku polskim majądo dyspozycji dwa warianty strukturalne: zaimki w pierwszej i drugiej osobie to PersP, a zaimki w trzeciej osobie to PersP lub NumP. Ta różnica strukturalna jest odpowiedzialna za dostępnośćnie tylko określonej, ale także nieokreślonej (w tym nieszczegółowej) interpretacji zaimków osobowych w języku polskim, bez względu na ich złożonośćmorfologiczną(tzn. zarówno formy pełne, jak i zredukowane mogąmiećróżne interpretacje). Wyjaśnia to założenie, że fraza NumP może byćinterpretowana jako anaf

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Li, Yangyang, Yue Shao, and Chunlong Fu. "Exploring Indexing and Slicing in NumPy Arrays." Journal of Physics: Conference Series 2832, no. 1 (2024): 012019. http://dx.doi.org/10.1088/1742-6596/2832/1/012019.

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Abstract This article provides an in-depth analysis of the application differences between indexing and slicing NumPy arrays to provide a clear guide to scientific computing and data analysis. The article first introduces the basics of NumPy arrays, discusses the deep copy and shallow copy mechanisms, and the role of copies and views in memory management. Then it shows the specific application methods of integer indexing, boolean indexing, fancy indexing, and slicing of one- and two-dimensional arrays through examples. It can be concluded from the experiments that slices are views of the origi

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Noel Dawe, Edmund, Piti Ongmongkolkul, and Giordon Stark. "root_numpy: The interface between ROOT and NumPy." Journal of Open Source Software 2, no. 16 (2017): 307. http://dx.doi.org/10.21105/joss.00307.

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Ertek, Muzaffer Kerem. "NumPy-based Calibration of Basic Hypoplastic Constitutive Models." Civil Engineering Beyond Limits 1, no. 1 (2019): 12–16. http://dx.doi.org/10.36937/cebel.2020.001.003.

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Constitutive modeling of soils is a crucial topic in geotechnics. Several constitutive models for soils can be found in material libraries of open-source or commercial geotechnical software packages, and these models can be based on various theories. Hypoplasticity as a relatively young theory is an alternative to elastoplasticity and consistently attracts new researchers. Contrary to elastoplasticity, hypoplasticity does not involve a priori defined yield surface, flow rule and plastic potential and arises from a simple tensorial function of the rate type. An exhaustive review of literature,

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Pannadhitthana Candra, Ariya. "Analisis Data Menggunakan Python: Memperkenalkan Pandas dan NumPy." Journal of Information System and Education Development 3, no. 1 (2025): 11–16. https://doi.org/10.62386/jised.v3i1.118.

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Penelitian ini membahas pentingnya analisis data di era digital dan memperkenalkan Python sebagai alat yang efektif untuk tujuan ini, dengan fokus pada pustaka Pandas dan NumPy. Dengan volume data global yang diperkirakan mencapai 175 zettabyte pada tahun 2025, kemampuan untuk menganalisis data menjadi krusial. Python, dengan sintaks yang sederhana dan pustaka yang kaya, menjadi pilihan utama dalam data science. Pandas memfasilitasi manipulasi data, sementara NumPy mendukung operasi numerik, menjadikannya esensial bagi analis data. Artikel ini menjelaskan konsep dasar analisis data menggunakan

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Putu Sealtiel Armeza Diandra, Dewa. "MONITORING LAHAN PARKIR MENGGUNAKAN PYTHON, CV2, CVZONE DAN NUMPY." JATI (Jurnal Mahasiswa Teknik Informatika) 9, no. 1 (2024): 157–61. https://doi.org/10.36040/jati.v9i1.12182.

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Sistem monitoring lahan parkir yang ada saat ini masih sangat bergantung pada komunikasi manual antar petugas, yang menyebabkan lambatnya aliran informasi mengenai ketersediaan slot parkir dan berpotensi menimbulkan kemacetan. Penelitian ini bertujuan untuk mengembangkan sistem pemantauan parkir berbasis Python dan teknologi IoT yang dapat mendeteksi ketersediaan tempat parkir secara real-time. Metode yang digunakan meliputi pemrograman dengan pustaka Python seperti OpenCV, CVZone, dan Numpy untuk memproses data visual dari kamera pengawas. Hasil dari pengujian menunjukkan bahwa sistem ini mam

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van der Walt, Stéfan, S. Chris Colbert, and Gaël Varoquaux. "The NumPy Array: A Structure for Efficient Numerical Computation." Computing in Science & Engineering 13, no. 2 (2011): 22–30. http://dx.doi.org/10.1109/mcse.2011.37.

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Eddelbuettel, Dirk, and Wush Wu. "RcppCNPy: Read-Write Support for NumPy Files in R." Journal of Open Source Software 1, no. 5 (2016): 55. http://dx.doi.org/10.21105/joss.00055.

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Dr., M. Parameswari, Priyanka L., R. Swetha G., Uma T., and Vaishnavi E. "AIR CANVAS APPLICATION USING OPENCV AND NUMPY IN PYTHON." International Journal of Engineering Research and Modern Education (IJERME) 7, no. 1 (2022): 10–13. https://doi.org/10.5281/zenodo.6569593.

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On-air writing has become one of the most attractive and challenging areas in the field of image processing and pattern recognition in recent years. It contributes to the development of automation processes and can improve interpersonal and machine interaction across multiple systems. Many research projects focus on new techniques and techniques that can reduce processing time while providing high accuracy of recognition. Tracking an object is considered an important function within the field of Computer Vision. The invention of fast computers, the availability of affordable and high-quality v

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Phinney, Archie M. "Numipu among the White Settlers." Wicazo Sa Review 17, no. 2 (2002): 21–42. http://dx.doi.org/10.1353/wic.2002.0019.

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Gatti, Anthony A., and Siavash Khallaghi. "PyCPD: Pure NumPy Implementation of the Coherent Point Drift Algorithm." Journal of Open Source Software 7, no. 80 (2022): 4681. http://dx.doi.org/10.21105/joss.04681.

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Lemenkova, Polina. "Processing oceanographic data by Python libraries NumPy, SciPy and Pandas." Aquatic Research 2, no. 2 (2019): 73–91. https://doi.org/10.3153/AR19009.

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The study area is located in western Pacific Ocean, Mariana Trench. The aim of the data analysis is to analyze the potential influence of how various geological and tectonic factors may affect the geomorphological shape of the Mariana Trench. Statistical analysis of the data set in marine geology and oceanography requires an adequate strategy on big data processing. In this context, current research proposes a combination of the Python-based methodology that couples GIS geospatial data analysis. The Quantum GIS part of the methodology produces an optimized representative sampling dataset consi

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Klyachin, Vladimir, and Elеna Grigorеva. "Numerical Study of the Stability of Equilibrium Surfaces Using NumPY Package." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 1. Mathematica. Physica, no. 2 (June 2015): 17–30. http://dx.doi.org/10.15688/jvolsu1.2015.2.2.

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Anita Talia, Angelica Angelica, Agatha Anggraini Tumanggor, Febryanti Hasibuan, Roberto Karlos Sinaga, and Ocha Hosea Sigalingging. "Implementasi Metode Numerik dan Simbolik dengan Python untuk Penentuan Nilai Limit Fungsi." Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam 2, no. 4 (2024): 45–53. http://dx.doi.org/10.62383/pentagon.v2i4.279.

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This study analyzes the utilization of Python as a tool for calculating function limits, with an emphasis on the application of the SymPy and NumPy libraries. The flexibility of Python allows researchers to perform mathematical calculations efficiently, employing both the symbolic approach provided by SymPy and the numerical methods offered by NumPy. SymPy facilitates the management of complex mathematical expressions and produces accurate symbolic results, while NumPy provides speed and efficiency in executing numerical computations. With active community support and regular updates to the li

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Ziółkowski, Mariusz, Jacek Kościuk, and Ferdinand Astete. "On Inca astronomical instruments: the observatory at Inkaraqay – El Mirador (National Archaeological Park of Machu Picchu, Peru)." Estudios Latinoamericanos 36/37 (May 25, 2018): 9–25. https://doi.org/10.5281/zenodo.3355565.

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Wahab, La Ode Abdul, Sri Fitayanti, Sian Linda Lerebulan, Agus Sunaryo, Dani Melmambessy, and Fitriani. "Pembinaan Life Skills Putra-Putri Port Numbay Putus Sekolah Melalui Pelatihan Komputer Di STIE Port Numbay Jayapura." Cendisia : Cendekia Sosial dan Pengabdian 2, no. 1 (2025): 14–21. https://doi.org/10.55049/cnd.v2i1.19.

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Tingginya angka putus sekolah dan minimnya keterampilan praktis (life skills) menjadi hambatan signifikan bagi remaja Port Numbay dalam memasuki dunia kerja. Kegiatan pengabdian kepada masyarakat ini bertujuan membekali mereka dengan keterampilan dasar komputer melalui pelatihan intensif yang berlangsung selama enam hari. Pelatihan difokuskan pada penguasaan Microsoft Word dan Excel, serta penguatan soft skills melalui pendekatan partisipatif dan praktik langsung. Hasil evaluasi menunjukkan peningkatan signifikan kompetensi peserta baik dalam aspek teknis maupun kepercayaan diri. Peserta juga

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Klyachin, Vladimir. "Parallel Algorithm of Geometrical Hashing Based on NumPy Package and Processes Pool." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 1. Mathematica. Physica, no. 4 (October 2015): 13–23. http://dx.doi.org/10.15688/jvolsu1.2015.4.2.

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Pawlik, Aleksandra, Judith Segal, Helen Sharp, and Marian Petre. "Crowdsourcing Scientific Software Documentation: A Case Study of the NumPy Documentation Project." Computing in Science & Engineering 17, no. 1 (2015): 28–36. http://dx.doi.org/10.1109/mcse.2014.93.

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Abert, Claas, Florian Bruckner, Christoph Vogler, Roman Windl, Raphael Thanhoffer, and Dieter Suess. "A full-fledged micromagnetic code in fewer than 70 lines of NumPy." Journal of Magnetism and Magnetic Materials 387 (August 2015): 13–18. http://dx.doi.org/10.1016/j.jmmm.2015.03.081.

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Jones, Nathaniel L. "Fast annual daylighting simulation and high dynamic range image processing using NumPy." Science and Technology for the Built Environment 30, no. 4 (2024): 327–40. http://dx.doi.org/10.1080/23744731.2024.2324626.

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Rovinsky, Viktor, Vitaliy Horyelov, and Borys Nezamai. "Research of the speed of MS-C#, C++, PYTHON AND C# - UNITY languages in developing digital signal processing algorithms." Naukovyi visnyk Donetskoho natsionalnoho tekhnichnoho universytetu 1, no. 14 (2025): 45–55. https://doi.org/10.31474/2415-7902-2025-1-14-45-55.

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Objective. This study aims to investigate the execution speed of widely used programming languages, including Microsoft C#, Microsoft C++, GCC C++, Unity C#, and Python (with and without the NumPy library), in the implementation of the Fast Discrete Cosine Transform (Fast DCT-II) algorithm. The primary goal is to provide a comparative analysis of these programming languages to highlight their strengths and weaknesses in handling computationally intensive tasks like the Fast DCT-II. Methods. The study employs a comparative experimental approach, where the Fast DCT-II algorithm is implemented in

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Semenov, Ivan, and Pavel Shefer. "USING THE NUMPY LIBRARY FOR THE PYTHON PROGRAMMING LANGUAGE IN THE WORK OF A SCIENTIST AND ENGINEER." Modern Technologies and Scientific and Technological Progress 2024, no. 1 (2024): 167–68. http://dx.doi.org/10.36629/2686-9896-2024-1-167-168.

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The main capabilities of the NumPy library for the Python programming language, intended for com-putational tasks of engineers and scientists, and technical disciplines, are considered. The features of organizing a data array of the ndarray class are described

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Japit, Susi, Yeni Risyani, Conrad Bombongan, Tanda Selamat, and Yuliana Yuliana. "Pemanfaatan Pandas, NumPy, Spark, dan TableauPower BI dalam Pengolahan dan Visualisasi Big Data untuk Mendukung Pengambilan Keputusan." Jurnal Minfo Polgan 14, no. 1 (2025): 452–56. https://doi.org/10.33395/jmp.v14i1.14762.

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Perkembangan teknologi informasi menghasilkan volume data yang sangat besar, menuntut metode pengolahan dan analisis data yang efisien. Penelitian ini membahas peran empat alat utama dalam ekosistem data science: Pandas, NumPy, Apache Spark, Tableau, dan Power BI. Pandas dan NumPy digunakan untuk pengolahan data skala kecil hingga menengah, sedangkan Spark unggul dalam pemrosesan terdistribusi skala besar. Tableau dan Power BI digunakan untuk visualisasi data guna mendukung pengambilan keputusan. Hasil eksperimen menunjukkan bahwa Spark 30× lebih cepat dari Pandas pada dataset 100 ribu baris d

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Klyachin, V. A. "Optimization of Calculus Mesh for Cryobiology Problem Based on Multidimensional Hashing Using NumPy." Izvestiya of Saratov University. New Series. Series: Mathematics. Mechanics. Informatics 14, no. 3 (2014): 355–62. http://dx.doi.org/10.18500/1816-9791-2014-14-3-355-362.

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Fasnacht, Laurent. "mmappickle: Python 3 module to store memory-mapped numpy array in pickle format." Journal of Open Source Software 3, no. 26 (2018): 651. http://dx.doi.org/10.21105/joss.00651.

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Andersen, Erling. "Imagedata: A Python library to handle medical image data in NumPy array subclass Series." Journal of Open Source Software 7, no. 73 (2022): 4133. http://dx.doi.org/10.21105/joss.04133.

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Roubeyrie, Lionel, and Sébastien Celles. "Windrose: A Python Matplotlib, Numpy library to manage wind and pollution data, draw windrose." Journal of Open Source Software 3, no. 29 (2018): 268. http://dx.doi.org/10.21105/joss.00268.

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Putra, I. Nyoman Tri Anindia, Ketut Sepdyana Kartini, Yoga Kristian Suyitno, I. Made Sugiarta, and Ni Kadek Era Puspita. "Penerapan Library Tensorflow, Cvzone, dan Numpy pada Sistem Deteksi Bahasa Isyarat Secara Real Time." Jurnal Krisnadana 2, no. 3 (2023): 412–23. http://dx.doi.org/10.58982/krisnadana.v2i3.335.

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Sebagai makhluk sosial, manusia secara alami perlu berinteraksi satu sama lain melalui komunikasi, dengan berada di masyarakat hanya untuk berbagi informasi atau saling menanggapi kebutuhan, seperti proses belajar di sekolah. Namun penyandang tunarungu sulit untuk berkomunikasi secara utuh karena lingkungan yang tidak ramah bagi mereka dan salah satunya adalah sangat sedikit yang memahami bahasa isyarat. Program berbasis Python "My Signs" dikembangkan untuk mengedukasi masyarakat tentang Bahasa Isyarat Indonesia (BISINDO), dengan fitur-fitur seperti mengenali bahasa isyarat menggunakan model p

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Adebanjo, Seun, and Emmanuel Banchani. "Application of Different Python Libraries for Visualisation of Female Genital Mutilation." International Journal of Data Science 4, no. 2 (2023): 67–83. http://dx.doi.org/10.18517/ijods.4.2.67-83.2023.

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Utilizing data visualization facilitates the analysis and comprehension of common data provided by the media, individuals, governments, and other sectors. Python is a well-known programming language that excels at scientific data visualization. This thesis utilizes a variety of Python modules, including Pandas, NumPy, Matplotlib, Seaborn, Plotly, and Bokeh, to illustrate female genital mutilation. The purpose of this thesis is to illustrate female genital mutilation and explain its performance pattern using a complex, interactive diagram that integrates multiple types of Python libraries. In c

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Daga, Yohana, Gde Putu Arya Oka, and Konstantinus Dua Dhiu. "PENGEMBANGAN MEDIA PERMAINAN NUMPUZ UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR SIMBOLIK PADA ANAK USIA 5-6 TAHUN." Jurnal Citra Pendidikan Anak 2, no. 3 (2023): 654–64. http://dx.doi.org/10.38048/jcpa.v2i3.1109.

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Abstrak  Penelitian ini bertujuan untuk menghasilkan media berupa numpuz untuk meningkatkan kemampuan kognitif dalam berpikir simbolik pada anak usia 5-6 tahun di TKK Stella Maris Marapokot. Subjek dalam penelitian ini adalah anak usia 5-6 tahun di TKK Stella Maris Marapokot baik secara kelompok ataupun perorangan. Pengembangan media numpuz untuk kemampuan kognitif dalam berpikir simbolik dikembangkan dengan menggunakan model ADDIE. Metode wawancara, dokumentasi, observasi. Penelitian pengembangan media numpuz berdasarkan hasil uji coba para ahli dan anak sebagai pengguna prodak adalah s

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Kagan, Olga. "Genitive Objects and Syntactic Categories." Revue roumaine de linguistique 2024, no. 3-4 (2024): 247–66. https://doi.org/10.59277/rrl.2024.3-4.14.

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This paper investigates the functional structure of genitive objects in Russian. While all types of genitive objects have been claimed in the literature to denote properties, the paper argues that they differ in terms of their syntactic “size”. Thus, nominals that appear in Genitive of Negation and Intensional Genitive (unified under the term Irrealis Genitive) can be full DPs. In contrast, objects that appear in Partitive Genitive are bare NPs that lack the DP, QP/NumP and even the Div(ider)P(hrase) projections. Finally, genitive case is assigned especially productively to objects of verbs th

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Farkasovsky, Marian, and Hans Küntzel. "Cortical Num1p Interacts with the Dynein Intermediate Chain Pac11p and Cytoplasmic Microtubules in Budding Yeast." Journal of Cell Biology 152, no. 2 (2001): 251–62. http://dx.doi.org/10.1083/jcb.152.2.251.

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Num1p, a cortical 313-kD protein, controls cytoplasmic microtubule (cMT) functions and nuclear migration through the bud neck in anaphase cells. A green fluorescent protein (GFP)-Num1p fusion protein localizes at the bud tip and the distal mother pole of living cells, apparently forming cMT capture sites at late anaphase. In addition, galactose-induced GFP-Num1p is seen at the bud neck and in lateral regions of the mother cortex. The bud tip location of Num1p depends on Bni1p but does not require Kar9p, Dyn1p, or cMTs, whereas cMT contacts with polar Num1p dots are reduced in cells lacking Dyn

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Аттокуров, Урмат Тологонович, Гулнарида Расулбековна Жалилова та Алийма Торожановна Маматкасымова. "ОБРАБОТКА БОЛЬШИХ ДАННЫХ С ИСПОЛЬЗОВАНИЕМ ЯЗЫКА PYTHON В МЕДИЦИНЕ". Engineering problems and innovations 1, № 2 (2023): 49–54. https://doi.org/10.5281/zenodo.7902867.

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Данная статья посвящена вопросам использования и дальнейшего применения библиотек Python в медицинской отрасли. Эти библиотеки включают NumPy, Pandas, Scikit-learn, Keras и TensorFlow, Matplotlib, Seaborn, and Plotly. На примере библиотеки Keras была рассмотрена задача, связанная с применением анализа медицинских данных.

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Holl, Philipp, and Nils Thuerey. "\Phi_\textrm{ML}: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy." Journal of Open Source Software 9, no. 95 (2024): 6171. http://dx.doi.org/10.21105/joss.06171.

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Zulunov, Ravshan, Umidjon Akhundjanov, Khurshid Musayev, Bakhrom Soliyev, Ahror Kayumov, and Mukhammadmullo Asraev. "Building and predicting a neural network in python." E3S Web of Conferences 508 (2024): 04005. http://dx.doi.org/10.1051/e3sconf/202450804005.

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The article examines the practical implementation of Artificial Intelligence technologies, Machine Learning and Deep Learning technologies. Methods of construction and prediction of neural networks are considered using special libraries of Python language. Linear regression and NumPy it is suggested to use libraries.

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Gralewicz-Wolny, Iwona. "Perskie oko Hermesa. "Numery" Olgi Tokarczuk, czyli hermeneutyka w działaniu." Er(r)go. Teoria - Literatura - Kultura, no. 45 (December 30, 2022): 147–63. http://dx.doi.org/10.31261/errgo.12529.

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Perskie oko Hermesa. "Numery" Olgi Tokarczuk, czyli hermeneutyka w działaniu W świetle przedstawionej w artykule interpretacji “Numery” (1993) – jedno z pierwszych opowiadań Olgi Tokarczuk – są literackim wcieleniem refleksji hermeneutycznej z kluczowymi dla niej pojęciami śladu, tajemnicy i znaczeniowego prześwitu. W swych odczytaniach znaków pozostawionych przez hotelowych gości narratorka-pokojówka jest spadkobierczynią myśli Diltheya, Gadamera i Derridy, która nakazuje dociekać prawdy o drugim człowieku, godząc się jednocześnie z jej niekonkluzywnością i rozproszeniem. Dla hermeneuty

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Boulle, A., and J. Kieffer. "High-performance Python for crystallographic computing." Journal of Applied Crystallography 52, no. 4 (2019): 882–97. http://dx.doi.org/10.1107/s1600576719008471.

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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 fields. This popularity is mainly due to the ease with which a Python program can be written and executed (easy syntax, dynamical typing, no compilation etc.), coupled with the existence of a large number of specialized third-party libraries that aim to lift all the limitations of the raw Python language. NumPy introduces vector programming, improving execution speeds, whereas SciPy brings a we

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IRAWATY, IRAWATY. "PENINGKATKAN KINERJA GURU DAN PRESTASI SISWA MELALUI PENERAPAN GAYA KEPEMIMPINAN OPEN DAN SITUASIONAL DI MA DARUL MA’ARIF NUMBAY PADA MASA PANDEMIC COVID 19." ACADEMIA: Jurnal Inovasi Riset Akademik 1, no. 2 (2021): 208–13. http://dx.doi.org/10.51878/academia.v1i2.695.

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The COVID-19 pandemic has greatly affected all fields, including the management of a school/madrasah, which is influenced by the leadership style of the principal. Leadership style is a method that is owned by the head of the madrasa in carrying out special leadership at MA Darul Ma'arif Numbay. The purpose of this study is to describe the leadership style of the madrasa principal at MA Darul Ma'arif Numbay in improving student performance and achievement during the covid 19 pandemic. Qualitative research method. The data analysis technique used qualitative descriptive data. The results showed

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Arabas, Sylwester, Dorota Jarecka, Anna Jaruga, and Maciej Fijałkowski. "Formula Translation in Blitz++, NumPy and Modern Fortran: A Case Study of the Language Choice Tradeoffs." Scientific Programming 22, no. 3 (2014): 201–22. http://dx.doi.org/10.1155/2014/870146.

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Three object-oriented implementations of a prototype solver of the advection equation are introduced. The presented programs are based on Blitz++ (C++), NumPy (Python) and Fortran's built-in array containers. The solvers constitute implementations of the Multidimensional Positive-Definite Advective Transport Algorithm (MPDATA). The introduced codes serve as examples for how the application of object-oriented programming (OOP) techniques and new language constructs from C++11 and Fortran 2008 allow to reproduce the mathematical notation used in the literature within the program code. A discussi

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Ergashev, Otabek, Nurillo Mamadaliev, Sardorbek Khonturaev, and Muzaffar Sobirov. "Programming and processing of big data using python language in medicine." E3S Web of Conferences 538 (2024): 02027. http://dx.doi.org/10.1051/e3sconf/202453802027.

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This article is devoted to the use and further application of Python libraries in the medical industry. These libraries include NumPy, Pandas, Scikit-learn, Keras and TensorFlow, Matplotlib, Seaborn, and Plotly. On the example of the Keras library, the problem associated with the use of medical data analysis was considered.

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Chitalov, D. I., and S. T. Kalashnikov. "DRAWING CONVERGENCE GRAPHS IN THE GRAPHICAL USER INTERFACE OF THE OPENFOAM SOFTWARE ENVIRONMENT ON THE BASIS OF THE MATPLOTLIB AND NUMPY LIBRARIES." Современные наукоемкие технологии (Modern High Technologies), no. 11 2017 (2017): 80–85. http://dx.doi.org/10.17513/snt.36849.

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Simonenko, V. B., Victor G. Abashin, and A. S. Aleksandrov. "Selflessness of besieged Leningrad: problems of motherhood and childhood (on the occasion of the 72nd anniversary of lifting the siege)." Clinical Medicine (Russian Journal) 94, no. 9 (2016): 711–17. http://dx.doi.org/10.18821/0023-2149-2016-94-9-711-717.

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A yeview of documents on the peculiayities of obstetyic and gynecological caye in besieged Leningyad is pyesented with special yefeyence to the data about the numbey of childyen boyn duying blockade and theiy health status in the fiyst months of life, the woyk of maternity hospitals, theiy numbey and peysonnel. The teym «militayy time amenoyyhea» coined duying blockade is discussed.

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Matisakov, Zh, Zh Mambetov, and Zh Matisakov. "Modeling the Determination of Wavelength Using a Diffraction Grating in Python." Bulletin of Science and Practice 10, no. 7 (2024): 21–25. http://dx.doi.org/10.33619/2414-2948/104/02.

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To model a laboratory experiment for determining the wavelength of light using a diffraction grating in Python, it is proposed to use the libraries numpy, matplotlib, and ipywidgets. A simulation is created to model the positions of maxima on the screen. The developed code can be run in an environment that supports ipywidgets, such as Jupyter Notebook, to obtain an interactive simulation for determining the wavelength of light using a diffraction grating. The code includes the following steps: 1. Import the necessary libraries: numpy for numerical calculations, matplotlib for plotting graphs,

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Pessoa, Paulo Igor de Oliveira, and Edson Henrice. "Efficient Acceleration in Solving the 2D Neutron Diffusion Equation with CUDA: Exploring the Collaborative Practicality of Colab<i></i>." Brazilian Journal of Radiation Sciences 12, no. 4B (Suppl.) (2025): e2498. https://doi.org/10.15392/2319-0612.2024.2498.

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This paper explores an approach to accelerate the finite difference method applied to solving the two-dimensional (2D) neutron diffusion equation for two energy groups (2G) independent of time. The main innovation lies in the implementation of a performance optimization method, emphasizing the practicality of development in Python using direct browser collaboration through Google Colaboratory (Colab). Utilizing CUDA (Compute Unified Device Architecture) for GPU acceleration, we achieve significant computational performance improvements. The study compares Python implementations using CuPy and

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Schauss, Astrid C., and Heidi M. McBride. "Mitochondrial Fission: A Non-Nuclear Role for Num1p." Current Biology 17, no. 12 (2007): R467—R470. http://dx.doi.org/10.1016/j.cub.2007.04.018.

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Borowiec, Natalia, and Anna Pulak. "The use of points cloud processing in supporting oversize transport analysis." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (2018): 804–11. http://dx.doi.org/10.24136/atest.2018.179.

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Paper discussed how to create an algorithm that simulates the movement of large-size vehicle and to detect collision of vehicle path with cloud of points. Simulations and analysis that were rune are based on the transport of wind turbine blade. The proposed algorithm was implemented using Python programming language with PCL and NumPy libraries.

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Noya, Kathleen Grace. "Efektivitas Pelayanan Pastoral Pranikah di Klasis GKI Port Numbay Rayon C." MURAI: Jurnal Papua Teologi Konstekstual 4, no. 1 (2023): 40–47. http://dx.doi.org/10.58983/jmurai.v4i1.108.

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Saat ini banyak pasangan yang memutuskan untuk berpisah atau bercerai, karena tujuan pernikahan yang berbeda-beda. Ada yang menikah karena ingin memiliki keturunan, akhirnya ketika tidak memiliki keturunan salah satu memilih untuk selingkuh. Ada yang ingin menikah agar bahagia, sehingga ketika tidak menemukan kebahagiaan lagi dalam pernikahan, memilih untuk mencari kebahagiaan pada orang lain yang dianggap bisa membuat bahagia. Alasan lain ialah supaya ada yang mengurus, sehingga ketika salah satu tidak menjalankan tugas dengan baik, pasnagan mulai marah dan melakukan kekerasan terhadap pasang

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Ariya, Catur, and Arya Prawira. "Aplikasi Prediksi Hutang Dengan Menggunakan Algoritma Regresi Polinomial." Computatio : Journal of Computer Science and Information Systems 8, no. 1 (2024): 73–85. http://dx.doi.org/10.24912/computatio.v8i1.15172.

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Laporan ini mendeskripsikan sebuah algoritma untuk prediksi pinjaman hutang menggunakan Polynomial Regressionluntuk menghitung jumlah hutang yang dapat dipinjam oleh debitur. keuntungan penggunaan algoritma ini adalahpemilihan degree yang dapat disesuaikan dengan bentuk penyebaran data sehingga mendapatkan akurasi yang maksimal. Kami menggunakan bahasa pemrogramanpython bersama dengan library scikit-learn,numpy, dan pandas untuk prediksi dan transformasi data serta seaborn dan matplotlip untuk visualisasi.

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G., Padma karthiyayini, and Ananthalakshmi Dr.S. "A NEW APPROACH FOR FINDING MINIMIZATION COST IN TRANSPORTATION PROBLEM – AN ALGORITHM BY USING PYTHON LANGUAGE." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 07 (2023): 3535–39. https://doi.org/10.5281/zenodo.8149392.

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In this paper the package Numpy from the programing language Python is presented as a computational tool that can help to solve the initial basic feasible solution involving transportation problem.  This is also extension of our previous paper. The objective of this paper is to find how to minimize the transportation cost (TC) and to save a significant amount of time.

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