Abha kumar (35 résultats)

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paperback. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Etat : New. Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of PythonKey FeaturesStudy and use Python interactive libraries, such as Bokeh and PlotlyExplore different visualization principles and understand when to use which oneCreate interactive data visualizations with real-world dataBook DescriptionWith so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python.You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model.By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories.What you will learnExplore and apply different interactive data visualization techniquesManipulate plotting parameters and styles to create appealing plotsCustomize data visualization for different audiencesDesign data visualizations using interactive librariesUse Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plotsCustomize data visualization for different scenariosWho this book is forThis book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas.…

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Etat : New. pp. 362 2nd Edition.

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Paperback. Etat : Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.

Paperback. Etat : New. Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of PythonKey FeaturesStudy and use Python interactive libraries, such as Bokeh and PlotlyExplore different visualization principles and understand when to use which oneCreate interactive data visualizations with real-world dataBook DescriptionWith so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python.You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model.By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories.What you will learnExplore and apply different interactive data visualization techniquesManipulate plotting parameters and styles to create appealing plotsCustomize data visualization for different audiencesDesign data visualizations using interactive librariesUse Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plotsCustomize data visualization for different scenariosWho this book is forThis book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas.…

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Taschenbuch. Etat : Neu. Policy Issues in Genetically Modified Crops | A Global Perspective | Pardeep Singh (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Elsevier Inc | EAN 9780128207802 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu. …

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Etat : New. In English.

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Etat : New. Discusses ethics, varieties, research trends, success, and challenges of genetic modification Addresses both crop production and potential health impacts Includes extensive theoretical research and studiesRedakti.

Taschenbuch. Etat : Neu. Neuware - Biochar Ecotechnology for Sustainable Agriculture and Environment summarizes current accomplishments in biochar ecotechnologies for enhancing agricultural production, encouraging sustainable waste management, and fostering a circular bioeconomy by advancing the pyrolysis process at both large-scale industrial and small-scale-local levels. Chapters in the book synthesize recent breakthroughs in biochar agro-ecotechnologies for increasing agricultural productivity and promoting circular bioeconomy by advancing the pyrolysis process and add mechanisms involved in biochar-fertilizer mediated in-soil biogeochemical cycle and nutrients retention, availability and their losses, soil-microbial responses, emission of greenhouse gases, and plant responses.Finally, this book aims to increase research understanding of nanotechnological breakthroughs in the production of biochar-based slow-release fertilizers, including their Nano characteristics involved in increasing fertilizer usage efficiency and managing chemical losses, for sustainable agriculture and the environment.…

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Etat : New. Print on Demand pp. 362.

Etat : New. PRINT ON DEMAND pp. 362.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh AbhaMs. Abha Singh and Vinay Kumar are currently working for Research Degree in Microbiology, Botany Department, Dayalbagh Educational Institute, Dayalbagh, Agra, INDIA. Prof. J. N. Srivastava is currently working in Botany Dep. …

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - En la actualidad se utilizan varios modelos de programación de tareas, pero el que nos va a centrar es el modelo basado en RNA (red neuronal artificial). Este modelo se creó para estimar el estado de ejecución de las tareas para la asignación de recursos entre los candidatos. Un modelo basado en RNA utiliza varios algoritmos de programación para encontrar los mejores resultados posibles en términos de calidad de servicio (QoS), coste total, satisfacción del servicio, etc.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Plusieurs modèles de planification des tâches sont actuellement utilisés, mais celui sur lequel nous allons nous concentrer est le modèle ANN (Artificial Neural Network). Ce modèle a été mis en place pour estimer l'état d'exécution des tâches afin de répartir les ressources entre les candidats. Un modèle ANN utilise divers algorithmes d'ordonnancement pour trouver les meilleurs résultats possibles en termes de qualité de service (QoS), de coût total, de satisfaction du service, etc.…