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eBooks > Non-Fiction > Computing & I.T. > Graphical & Digital Media Applications > 3D Graphics & Modelling
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  • Data Science with Java : Practical Methods for Scientists and Engineers - PhD Michael R. Brzustowicz
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  • Agile Data Science 2.0 : Building Full-Stack Data Analytics Applications with Spark - Russell Jurney
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  • Inverse Design Methods for the Built Environment - Qingyan Chen
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  • Microsoft HoloLens Developer???s Guide : A Complete Guide to HoloLens Application Development - Dennis Vroegop
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  • Practical Time Series Analysis : Master Time Series Data Processing, Visualization, and Modeling using Python - PKS Prakash
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  • Pentaho 8 Reporting for Java Developers : Create pixel-perfect analytical reports using reporting tools - Francesco Corti
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  • R Data Analysis Cookbook, Second Edition : Customizable R Recipes for data mining, data visualization and time series analysis - Kuntal Ganguly
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    Kuntal Ganguly, Davor Lozi?, Mzabalazo Z. Ngwenya, Andrew Bauman and Viswa Viswanathan
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  • Tabular Modeling with SQL Server 2016 Analysis Services Cookbook : Create better operational analytics for your users with these business solutions - Derek Wilson
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    Derek Wilson
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  • Heritage Building Information Modelling - Yusuf Arayici
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    Yusuf Arayici, John Counsell, Lamine Mahdjoubi, Soheir Hawas and Gehan Nagy
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  • Mastering Apache Storm : Real-time big data streaming using Kafka, Hbase and Redis - Ankit Jain
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    Ankit Jain
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  • Building Data Streaming Applications with Apache Kafka : Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark - Manish Kumar
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    Manish Kumar, Chanchal Singh, Manisha Sethi and Anshul Joshi
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  • Mastering Machine Learning with scikit-learn : Apply effective learning algorithms to real-world problems using scikit-learn - Gavin Hackeling
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  • Matplotlib 2.x By Example : Multi-dimensional charts, graphs, and plots in Python - Allen Yu
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    Allen Yu, Claire Chung, Aldrin Yim, Nikhil Borkar and Christopher Shoe
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  • What Every Engineer Should Know About Modeling and Simulation : What Every Engineer Should Know - Raymond J. Madachy
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  • Python Data Analysis, Second Edition : Data manipulation and complex data analysis with Python - Armando Fandango
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    Andrew Morgan, Antoine Amend, Matthew Hallett and David George
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    Phuong Vo.T.H, Martin Czygan, Ashish Kumar and Kirthi Raman
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  • The Finite Element Method : Basic Concepts and Applications with MATLAB, MAPLE, and COMSOL, Third Edition - Darrell W. Pepper
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    Darrell W. Pepper and Juan C. Heinrich
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  • Analysis and Simulation of Electrical and Computer Systems : Springer Nature Proceedings excluding Computer Science - Les?aw Go??biowski
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    Les?aw Go??biowski and Damian Mazur
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  • Military Logistics : Research Advances and Future Trends - Vasileios Zeimpekis
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    Vasileios Zeimpekis, George Kaimakamis and Nicholas J. Daras
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  • Smart Learning Objects for Smart Education in Computer Science : Theory, Methodology and Robot-Based Implementation - Vytautas Štuikys
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  • Formal Modeling and Verification of Cyber-Physical Systems : 1st International Summer School on Methods and Tools for the Design of Digital Systems, Bremen, Germany, September 2015 - Rolf Drechsler
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  • Mastering Matplotlib : A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data - Duncan M. McGreggor
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    Duncan M. McGreggor
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  • Effective Computation in Physics : Field Guide to Research with Python - Anthony Scopatz
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    Anthony Scopatz and Kathryn D. Huff
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  • Mastering Apache Cassandra - Second Edition : Build, manage, and configure high-performing, reliable NoSQL database for your application with Cassandra - Nishant Neeraj
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  • Advances in Architectural Geometry 2014 : Springer Nature Proceedings excluding Computer Science - Philippe Block
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    Philippe Block, Jan Knippers, Niloy J. Mitra and Wenping Wang
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  • Value Chain Marketing : A Marketing Strategy to Overcome Immediate Customer Innovation Resistance - Stephanie Hintze
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  • Learning Pandas : Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery - Michael Heydt
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    Michael Heydt
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    Cyrille Rossant
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    Vicky Roberts and Dave Brown
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  • 21 Recipes for Mining Twitter : Distilling Rich Information from Messy Data - Matthew A. Russell
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  • Getting Started with Fluidinfo : Online Information Storage and Search Platform - Nicholas J. Radcliffe
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  • Natural Language Annotation for Machine Learning : A Guide to Corpus-Building for Applications - James Pustejovsky
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  • Big Data Glossary : A Guide to the New Generation of Data Tools - Pete Warden
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  • R in a Nutshell : A Desktop Quick Reference - Joseph Adler
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  • The Data Journalism Handbook : How Journalists Can Use Data to Improve the News - Jonathan Gray
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