This book constitutes revised selected papers of the Second International Workshop on Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, DEVOPS 2019, held at the Château de Villebrumier, France, in May 2019.

Scientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Java scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis, curve fitting, metadata and neural networks.

L'ouvrage qui vous permet de présenter vos données sous forme de graphiques percutants. L'auteur présente les principaux graphiques utilisés dans le monde de l'entreprise pour présenter des synthèses, analyser des résultats et réaliser des simulations visuelles. A chaque type de graphique est associé une question clef que se pose tout manager. L'ouvrage met à profit les capacités d'Excel 2013, qui propose des outils très efficaces de mise en forme graphique des données.

Fstoppers has teamed up with the incredibly successful headshot photographer, Dylan Patrick to produce the 6 hour tutorial, The Cinematic Headshot. Dylan has become widely sought after in New York and Los Angeles for his unmistakably stylized portraits and actors headshots. In this tutorial Dylan will teach you his entire processes of coaching, lighting, and then retouching his pictures.

Microsoft Excel 2016 for Mac OS X is a powerful application, but many of its most impressive features can be difficult to find. Learn Excel 2016 for OS X by Guy Hart-Davis is a practical, hands-on approach to learning all of the details of Excel 2016 in order to get work done efficiently on OS X. From using formulas and functions to creating databases, from analyzing data to automating tasks, you'll learn everything you need to know to put this powerful application to use for a variety of tasks.

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and professionals.

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