Relevant bibliographies by topics / Python 3.0

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  1. Journal articles
  2. Books
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Python 3.0'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 January 2023

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Journal articles on the topic "Python 3.0"

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Kamalova, Yu B. "Program for automatic clustering of numerous (over 1000) images of pollen grains obtained using an optical microscope in Python, for learning the LeNet convolutional neural network." Intellekt. Sist. Proizv. 17, no. 3 (2019): 67. http://dx.doi.org/10.22213/2410-9304-2019-3-4-67-74.

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Рассматривается способ сортировки изображений пыльцевых зерен на этапе предобработки для формирования выборки для обучения сверточной нейронной сети LeNet. На python разработана программа кадрирования изображения пыльцы, полученного с помощью оптического микроскопа, ImageSplitter, с помощью которой было кадрировано изображение полифлорного меда на 1131 изображение размером 128 ´ 128 пикселей при шаге скользящего окна 32 пикселя. На python разработана программа первичной классификации, позволяющая отсортировывать пустые изображения от непустых посредством задачи условий и интервалов степени зап
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Harani, Nisa Hanum, Cahyo Prianto, and Fikri Aldi Nugraha. "Segmentasi Pelanggan Produk Digital Service Indihome Menggunakan Algoritma K-Means Berbasis Python." Jurnal Manajemen Informatika (JAMIKA) 10, no. 2 (2020): 133–46. http://dx.doi.org/10.34010/jamika.v10i2.2683.

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PT. Telekomunikasi Indonesia adalah salah satu perusahaan yang mengedepankanpelanggan akan tetapi belum ada informasi tentang karakteristik pelanggan. Pada penelitian ini dilakukan analisa karakteristik pelanggan sebagai dasar penetapan segmentasi pelanggan dan customer profiling pelanggan produk digital service add on Indihome menggunakan Algoritma K-Means. Penentuan jumlah cluster terbaik dilakukan menggunakan metode Elbow dan diperoleh nilai K = 3, sehingga data pelanggan dikelompokkan kedalam tiga segmen. Pengolahan data pelanggan dibagi menjadi 3 simulasi dengan persentase data train dan
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Felix, Felix, and Syanti Irviantina. "Analisis Pengaruh Base Case pada Algoritma Karatsuba terhadap Tingkat Efisiensi Waktu Eksekusi." Jurnal SIFO Mikroskil 22, no. 1 (2021): 1–8. http://dx.doi.org/10.55601/jsm.v22i1.777.

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Algoritma Karatsuba adalah algoritma perkalian yang masih banyak diteliti oleh peneliti Ilmu Komputer dan Matematika meskipun telah berusia lebih dari setengah abad. Algoritma ini merupakan algoritma yang menerapkan konsep Divide Conquer. Oleh karena itu terdapat nilai base case (BC) yang dapat diganti. Hipotesisnya adalah nilai BC ketika ditingkatkan akan mengurangi waktu eksekusi sampai mencapai suatu nilai x. Setelah melewati nilai x, waktu eksekusi akan bertambah. Pada penelitian ini dilakukan dengan 36 percobaan dengan kombinasi dari 3 pilihan digit, 3 kasus, dan 4 BC. Pilihan digitnya ad
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Leeman, John R. "A Student's Guide to Python for Physical Modeling A Student's Guide to Python for Physical Modeling. Kinder Jesse M. Nelson Philip 150 pp. Princeton U.P., Princeton, NJ, 2016. Price: $24.95 (paper). ISBN 978-0-691-17050-3." American Journal of Physics 85, no. 5 (2017): 399. http://dx.doi.org/10.1119/1.4973375.

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Bogomilskiy, M. R., E. Yu Radtsig, N. D. Pivneva, and V. E. Kuyanova. "Effectiveness of thiamphenicol glycinate acetilcysteinate in inhalation treatment of children with rhinosinusitis." Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics) 66, no. 1 (2021): 73–79. http://dx.doi.org/10.21508/1027-4065-2021-66-1-73-79.

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The article evaluates the effectiveness of thiamphenicol glycinate acetylcysteinate for inhalation versus systemic antibiotic for oral administration in complex treatment of uncomplicated rhinosinusitis in the outpatient conditions.Characteristics of children and research methods. The prospective, single-center, randomized, pilot, open-label comparative study included 61 patients from 3 to 9 years old with acute rhinosinusitis meeting the inclusion criteria. Group 1: children were prescribed thiamphenicol glycinate acetylcysteinate (0.125 mg per inhalation twice a day), Group 2: patients recei
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Pakhomova, V., and A. Vydish. "Study of the combined variant of determination of attacks using neural network technologies." System technologies 3, no. 140 (2022): 79–86. http://dx.doi.org/10.34185/1562-9945-3-140-2022-08.

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The modern world is impossible to imagine without computer networks: both local and global; therefore, the issue of network security is becoming increasingly topical. Currently, methods of detecting attacks can be strengthened by using neural networks, which confirms the relevance of the topic. The aim of the study is a comparative analysis of the quality parameters of network attacks using a combined variant consisting of different neural networks. As research methods used: neural network; multilayer perceptron; Kohonen's self-organizing map. The software implementation of the Kohonen self-or
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Alzoubaidi, Mutasem, and Milan Zlatkovic. "Conventional Diamond, Diverging Diamond, and Single Point Diamond Interchanges: A Comparative Operational Performance Evaluation in the Era of Connected Vehicles." Put i saobraćaj 68, no. 3 (2022): 1–9. http://dx.doi.org/10.31075/pis.68.03.01.

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This study evaluates the mobility impact of implementing Connected Vehicle (CV) technology at the Conventional Diamond Interchange (CDI), Diverging Diamond Interchange (DDI), and Single Point Diamond Interchange (SPDI). The evaluation is based on a microsimulation environment created in VISSIM combined with ASC/3 Software-in-the-Loop signal controllers and Python-programmed Vehicle to Infrastructure (V2I) communication algorithms. The effect of varying CV-Market Penetration Rates (CV-MPRs) on traffic operations is taken into consideration. The study shows that the interchange design has a high
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Risfendra, Risfendra, Aldo Aulia Akbar, and Firdaus Firdaus. "Sistem Pergerakan dan Deteksi Pada Robot Sepak Bola Beroda Berbasis Image Processing dengan Penerapan Multivision." INVOTEK: Jurnal Inovasi Vokasional dan Teknologi 20, no. 3 (2020): 31–42. http://dx.doi.org/10.24036/invotek.v20i3.830.

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Penelitian ini bertujuan untuk membangun robot sepak bola beroda yang bergerak holonomic berbasis image processing untuk melakukan pendeteksian bola yang selanjutnya data tersebut menjadi kondisi pergerakan robot pada pertandingan. Sistem pergerakan robot pada penelitian ini menggunakan konfigurasi 3 roda omni yang membuat robot dapat bergerak secara holonomic. Image processing pada penelitian ini digunakan sebagai sistem deteksi bola pada robot yang diproses menggunakan laptop dan dibuat dengan bahasa pemograman python menggunakan pustaka open computer vision. Permasalahan yang sering terjadi
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Ploeckinger, Sylvia, and Joop Schaye. "Radiative cooling rates, ion fractions, molecule abundances, and line emissivities including self-shielding and both local and metagalactic radiation fields." Monthly Notices of the Royal Astronomical Society 497, no. 4 (2020): 4857–83. http://dx.doi.org/10.1093/mnras/staa2172.

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ABSTRACT We use the spectral synthesis code cloudy to tabulate the properties of gas for an extensive range in redshift (z = 0–9), temperature (log T[K] = 1–9.5), metallicity (log Z/Z⊙ = −4 – +0.5, Z = 0), and density ($\log n_{\mathrm{H}}[\, \mathrm{cm}^{-3}] = -8$ − +6). This therefore includes gas with properties characteristic of the interstellar, circumgalactic, and intergalactic media. The gas is exposed to a redshift-dependent UV/X-ray background, while for the self-shielded lower-temperature gas (i.e. ISM gas), an interstellar radiation field and cosmic rays are added. The radiation fi
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Neudecker, Denise. "ARIADNE – a program estimating covariances in detail for neutron experiments." EPJ Nuclear Sciences & Technologies 4 (2018): 34. http://dx.doi.org/10.1051/epjn/2018012.

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The python program ARIADNE is a tool developed for evaluators to estimate detailed uncertainties and covariances for experimental data in a consistent and efficient manner. Currently, it is designed to aid in the uncertainty quantification of prompt fission neutron spectra, and was employed to estimate experimental covariances for CIELO and ENDF/B-VIII.0 evaluations. It provides a streamlined way to estimate detailed covariances by (1) implementing uncertainty quantification algorithms specific to the observables, (2) defining input quantities for typically encountered uncertainty sources and
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Books on the topic "Python 3.0"

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Kalb, Irv. Learn to Program with Python 3. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3879-0.

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Reinsch, Paul N., B. Lynn Whitfield, and Robert G. Weiner, eds. Python beyond Python. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51385-0.

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Hubertz, Johannes. Softwaretests mit Python. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48603-0.

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Unpingco, José. Python Programming for Data Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68952-0.

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Zuckarelli, Joachim L. Programmieren lernen mit Python und JavaScript. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-29850-0.

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Schwarz, Jason S., Chris Chapman, and Elea McDonnell Feit. Python for Marketing Research and Analytics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49720-0.

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Langtangen, Hans Petter. A Primer on Scientific Programming with Python. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30293-0.

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Iyer, Shivkumar V. Modeling and Python Simulation of Magnetics for Power Electronics Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96768-0.

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KUSUMANCHI, Yagna. Python 3. 0 for Beginners: A Crash Course to Learn Python Programming in 7 Days. Independently Published, 2022.

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Arduino, Mik. Python for Data Analysis: From the Beginner to Expert Crash Course 3. 0 That Will Change Your Life As a Digital Programmer Thanks to the Minimalism of This Manual. Deep Machine Learning and Big Data. Independently Published, 2019.

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Book chapters on the topic "Python 3.0"

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Hosmer, Chet. "Why Python Forensics?" In Python Forensics. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-12-418676-7.00001-3.

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Mechtley, Adam, and Ryan Trowbridge. "Introduction: Welcome to Maya Python." In Maya Python for Games and Film. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-12-378578-7.00019-3.

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Hosmer, Chet. "PCAP Extractor and OS Fingerprinting." In Python Passive Network Mapping. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-802721-9.00005-3.

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Jolly, Simran Kaur, and Rashmi Agrawal. "Anatomizing Lexicon With Natural Language Tokenizer Toolkit 3." In Advances in Data Mining and Database Management. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6117-0.ch011.

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NLTK toolkit is an API platform built with Python language to interact with humans through natural language. The very first version of NLTK was released in 2005 (1.4.3), which was compatible with Python 2.4. The latest version was in September 2017 NLTK (3.2.5), which incorporated features like Arabic stemmers, NIST evaluation, MOSES tokenizer, Stanford segmenter, treebank detokenizer, verbnet, and vader, etc. NLTK was created in 2001 as a part of Computational Linguistic Department at the University of Pennsylvania. Since then it has been tested and developed. The important packages of this system are 1) corpus builder, 2) tokenizer, 3) collocation, 4) tagging, 5) parsing, 6) metrics, and 7) probability distribution system. Toolbox NLTK was built to meet four primary requirements: 1) Simplicity: An substantive framework for building blocks; 2) Consistency: Consistent interface; 3) Extensibility: Which can be easily scaled; and 4) Modularity: All modules are independent of each other.
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"List of Figures." In Python Programming and Numerical Methods. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-819549-9.00006-3.

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Gad, Ahmed Fawzy, and Fatima Ezzahra Jarmouni. "ANN with 3 hidden layers." In Introduction to Deep Learning and Neural Networks with Python™. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-323-90933-4.00006-1.

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Mechtley, Adam, and Ryan Trowbridge. "Object-Oriented Programming in Maya." In Maya Python for Games and Film. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-12-378578-7.00005-3.

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"Copyright." In Integrating Python with Leading Computer Forensics Platforms. Elsevier, 2017. http://dx.doi.org/10.1016/b978-0-12-809949-0.09993-3.

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Casas, Miguel García, Javier Dufour Andía, and Jose Luis Galvez Martos. "ECO2DES: Python Framework for the Eco-Design of Industrial Processes." In Computer Aided Chemical Engineering. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-823377-1.50332-3.

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Subasi, Abdulhamit. "Data preprocessing." In Practical Machine Learning for Data Analysis Using Python. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-821379-7.00002-3.

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Conference papers on the topic "Python 3.0"

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Karalus, Megan F., K. Boyd Fackler, Igor V. Novosselov, John C. Kramlich, and Philip C. Malte. "A Skeletal Mechanism for the Reactive Flow Simulation of Methane Combustion." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-95904.

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A skeletal mechanism for the prediction of NOx emissions from methane combustion at gas turbine conditions is developed in the present work. The goal is a mechanism that can be used in computational fluid dynamic modeling of lean premixed (LPM) combustors. A database of solutions from 0-D, adiabatic, homogeneous reactors (PSRs) is computed using CHEMKINPRO [1] over a parameter space chosen to include pressures from 1 to 30 atm, equivalence ratios from 0.4 to 1.0, and mean PSR residence times from slightly greater than blowout to 3ms. A resisidence time of 3 ms represents a useful maximum for t
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Fay, Mathew, Augusto Correnti, Marisol Najera, Gabriel Formento, and Nicole Storni. "Geochemical Characterization of Vaca Muerta Produced Water and Shallow Aquifers in the Neuquén Basin." In SPE Annual Technical Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210094-ms.

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Abstract The objective of this study is to better understand the baseline aqueous chemistry and provenance of all groundwaters from the near surface shallow aquifers to the deeper Vaca Muerta shale ~ 2000 m depth subsea in the Neuquén Basin for water disposal monitoring. The regions included in this study are Cruz de Lorena, Coiron Amargo Sur Oeste and Sierras Blancas blocks that are operated by Shell Argentina. This integrated project utilized previous work on the detailed hydrogeologic characterization of aquifers from seismic, downhole petrophysical logs and pressures measurements, and adds
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Ojah, Michael, and Steve Adewole. "Pressures and Pressure Derivatives of a Vertical Well Located Within Two Inclined Faults: Case Study of Basic Angles and Unequal Well Distances from Faults." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/207138-ms.

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Abstract Pressure transient analysis has been used to evaluate performance of a vertical well located within two intersecting sealing faults. The nature and types of boundary affect productivity in bounded reservoirs. Well performance is strongly affected by well location with respect to the boundary, be it single, paired and parallel or paired and inclined. The goal of this research was to study pressure behavior as well as performance of a vertical well located within two intersecting sealing faults inclined at various angles θ and at unequal distances to faults. Unlike similar works previou
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Mad Sahad, Salbiah, Nian Wei Tan, Muhammad Sajid, and Ernest Austin Jones. "Enhancing Channelised Features Interpretability Using Deep Learning Predictive Modelling." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210668-ms.

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Abstract Objectives/Scope The growth of seismic attributes technology in accelerating the advancement of exploration and development started in late 1960s, with identification of bright spots through seismic reflection traits. In between the captured timeline, pattern recognition or neural network-based analysis on seismic attributes since 1990s gradually bring significant improvement in defining structural or depositional environment. Dunham (2020) addressed insufficient labelled geophysical data for supervised classification challenges lead to the possibility of overtraining for small-scale
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