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Books on the topic 'Code visualization'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

Mukherjee, Sudipta. Source Code Analytics With Roslyn and JavaScript Data Visualization. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1925-6.

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2

1945-, Haase W., and Commission of the European Communities. Directorate General XII: Science, Research, and Development., eds. EUROVAL, an European initiative on validation of CFD codes: Results of the EC/BRITE-EURAM Project EUROVAL, 1990-1992. Vieweg, 1993.

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3

Ostrowska, Dorota, and Tamara L. Falicov. Shaping Film Festivals in a Changing World. Amsterdam University Press, 2025. https://doi.org/10.5117/9789463725576.

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This volume is a collective attempt on the part of a community of academics, film festival curators, and archivists to come to terms with practical and intellectual challenges of the pandemic and post-pandemic realities affecting cultures of film festivals. The collection draws contours of critical inquiry orienting current film festival research and practice to explore new directions in archiving and decolonizing practices and big data analysis in the post-Covid-19 context and beyond. The four-part study gathers the voices of academics and practitioners who engage in a dialogue to articulate

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4

Newman, Perry A. Observations regarding use of advanced CFD analysis, sensitivity analysis, and design codes in MDO. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1996.

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5

Mukherjee, Sudipta. Source Code Analytics With Roslyn and JavaScript Data Visualization. Apress, 2017.

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6

Ilyankou, Ilya, and Jack Dougherty. Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code. O'Reilly Media, Incorporated, 2021.

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7

Essentials Of College Algebra With Modeling And Visualization Mymathlabmystatlab Student Access Code Card. Addison Wesley Longman, 2011.

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8

Mishra, Partha. Visualization in Seaborn for Data Science: Create Plots Using Single Line of Code in Python. Independently Published, 2022.

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9

Pham, Van Vung, and Tommy Dang. Hands-On Computer Vision with Detectron2: Develop Object Detection and Segmentation Models with a Code and Visualization Approach. de Gruyter GmbH, Walter, 2023.

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10

Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R. Addison-Wesley Professional, 2018.

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11

Gilbert, Esther. Self Help : Lucid Dreaming: Crack the Code of the Extraordinary Manifesting of Dreams for Personal Growth Using Hypnosis, Meditation and Visualization Techniques and Change Your Mind Reality. RobertSatterfield, 2019.

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12

Jutz, Gabriele. Audiovisual Aesthetics in Contemporary Experimental Film. Edited by Yael Kaduri. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199841547.013.10.

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This chapter maps the territory of the contemporary audiovisual cinematic avant-garde, which arose at the very moment of celluloid’s passage from mass use to obsolescence. It presents films that bear witness to the avant-garde’s ongoing interest in the formal organization of sound/image relationships. If one of the main concerns of sound in conventional film is to “naturalize” the image, experimental film is interested instead in ananti-naturalistic use of sound. Films without sound or even without images (which still can be called “films”), the use of audiovisual polysemy, asynchronous, or ev

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13

Canché, Manuel S. González. Spatial Socio-Econometric Modeling: A Low-Code Toolkit for Spatial Data Science and Interactive Visualizations Using R. Springer International Publishing AG, 2023.

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14

Hagendorff, Andreas, Ivan Stankovic, and Masaaki Takeuchi. Coronary artery imaging. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0067.

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Assessment of coronary artery disease using echocardiography is normally performed by the detection of regional wall motion abnormalities at rest or stress-induced myocardial hypoperfusion and ischaemia. Direct visualization of native coronary arteries by echocardiography is uncommon, but possible. In contrast, imaging of coronary artery flow by transthoracic color-coded Doppler echocardiography is increasingly popular, especially in combination with the administration of adenosine for the non-invasive assessment of coronary flow velocity reserve.

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15

Brandsma, Frans, Eberhard Elsholz, Werner Haase, Dieter Schwamborn, and Michael Leschziner. EUROVAL -- an European Initiative on Validation of CFD Codes: Results of the EC/BRITE-EURAM Project EUROVAL, 1990-1992. Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 2013.

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16

Lehman, Frank. Neo-Riemannian Theory at the Movies. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190606398.003.0004.

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This chapter is dedicated to explaining the methodology of neo-Riemannian theory (NRT) and analysis. The historical background of NRT is introduced, and an inventory of transformations, including the well-known neo-Riemannian operators (L, P, and R) is laid out in a user-friendly manner. Important issues for NRT, including harmonic combinatoriality, parsimony, tonal agnosticism, and spatiality, are all introduced and connected to the analysis of film music. Special attention is given to the associative content of triadic relationships, with two progressions of particular interest to film compo

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17

Kassem, Moulay Abdelmajid. QTL Mapping with Python and R/qtl: A Reproducible Pipeline for Crop Genetics. Atlas Publishing, LLC, 2025. https://doi.org/10.5147/books.ap1.

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QTL Mapping with Python and R/qtl: A Reproducible Pipeline for Crop Genetics presents a comprehensive and hands-on guide to identifying quantitative trait loci (QTL) in recombinant inbred line (RIL) populations using a reproducible workflow that bridges Python and R. Designed for researchers, students, and breeders, this resource walks readers through every stage of the QTL mapping process, from data preparation to advanced visualization and interpretation. The book begins with foundational concepts in QTL mapping and its importance in soybean breeding, using the well-characterized Forrest × W

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18

Du, Yunfei, and Hammad Rauf Khan. Data Science for Librarians. Libraries Unlimited, 2020. http://dx.doi.org/10.5040/9798400637865.

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This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries. Data Science for Librariansintroduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; and library and information science educators, authors Yunfei Du and Hammad Rauf Khan provide a thorough overview of conceptual and practical tools for data librarian practice. Partially due to how quickly data science evolves,

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19

Benadon, Fernando. Swinglines. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197659977.001.0001.

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Abstract Rhythms traditionally framed as “deviations” have their own identities. They are coherent products of precise musical thought and action. Rather than situating them in the neither-here-nor-there, Swinglines takes an inclusive view where meter and isochrony are particular cases within the broader universe of musical time. This book flips the frame from what rhythm is not to what rhythm is. As conceptualized here, swing flattens the temporal field to consider how note values relate to one another by any magnitude, not just the simple ratios of traditional theory. At its core, Swinglines

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20

Nolan, Deborah, and Sara Stoudt. Communicating with Data. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198862741.001.0001.

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Communicating with Data: The Art of Writing for Data Science aims to help students and researchers write about their data insights in a way that is both compelling and faithful to the data. This book aims to be both a resource for students who want to learn how to write about scientific findings both formally and for broader audiences and a textbook for instructors who are teaching science communication. In addition, a researcher who is looking for help with writing can use this book to self-train. The book consists of five parts. Part I helps the novice learn to write by reading the work of o

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