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Books > Computing & IT > Computer software packages > Other software packages
An Introduction to R and Python for Data Analysis helps teach
students to code in both R and Python simultaneously. As both R and
Python can be used in similar manners, it is useful and efficient
to learn both at the same time, helping lecturers and students to
teach and learn more, save time, whilst reinforcing the shared
concepts and differences of the systems. This tandem learning is
highly useful for students, helping them to become literate in both
languages, and develop skills which will be handy after their
studies. This book presumes no prior experience with computing, and
is intended to be used by students from a variety of backgrounds.
The side-by-side formatting of this book helps introductory
graduate students quickly grasp the basics of R and Python, with
the exercises providing helping them to teach themselves the skills
they will need upon the completion of their course, as employers
now ask for competency in both R and Python. Teachers and lecturers
will also find this book useful in their teaching, providing a
singular work to help ensure their students are well trained in
both computer languages. All data for exercises can be found here:
https://github.com/tbrown122387/r_and_python_book/tree/master/data.
Key features: - Teaches R and Python in a "side-by-side" way. -
Examples are tailored to aspiring data scientists and
statisticians, not software engineers. - Designed for introductory
graduate students. - Does not assume any mathematical background.
Intended for both researchers and practitioners, this book will
be a valuable resource for studying and applying recent robust
statistical methods. It contains up-to-date research results in the
theory of robust statistics
Treats computational aspects and algorithms and shows
interesting and new applications.
Information-Enabled Organization Transformation and Outsourcing.-
Wirtschaftsinformatik: Von den Moden zum Trend.- MEMO: Eine
werkzeuggestutzte Methode zum integrierten Entwurf von
Geschaftsprozessen und Informationssystemen.- Integrierte
Informationssysteme durch Modellierung von Geschaftsprozessen.-
Unternehmensmodellierung - Basis fur Reengineering und Optimierung
von Geschaftsprozessen.- Geschaftsprozess-Management und
Qualitatssicherung am Beispiel des WIS-Projekts.- Strukturanalogien
in Informationsmodellen.- Objektorientierte Spezifikation
betrieblicher Informationssysteme.- Semantische Objektmodellierung
anwendungsorientierter Informations systeme vom Standpunkt des
Sicherheitsmanagements.- Vom Informationsmodell zum
Anwendungssystem - Nutzenpotentiale fur den effizienten Einsatz von
Informationssystemen.- Verfahren zur werkzeuggestutzten Integration
von Datenbankschemata.- Formale Validierung von
Verdichtungsoperationen in konzeptionellen Datenmodellen.-
Simulation hierarchischer objekt- und transaktionsorientierter
Modelle.- Aufbau einer gesamtbankweiten Geschaftsdatenbank als
Grundlage fur ein globales Steuerungsinstrumentarium des Treasury
und Controlling bei Sal. Oppenheim Jr. & Cie., Koeln.- Ein
Entscheidungsmodell zur Automatisierung und Standardisierung in
betrieblichen Informationssystemen.- Optimierung von
Client/Server-Konfigurationen.- Die strategischen Implikationen von
Informations- und Kommunikations technologien fur das
Bankgeschaft.- Einsatz Neuronaler Netze in der Finanzprognose und
-analyse.- Umgestaltung der Geschaftsprozesse und der betrieblichen
Anwendungs systeme fur ein weltweit tatiges Unternehmen des
Chemie-Anlagebaus.- Kundenorientierte Informationsgestaltung im
oeffentlichen Personenverkehr.- Flexible Architekturen und
wiederverwendbare Softwarebausteine fur die Anwendung der Zukunft -
dargestellt an Systemen der Wurttembergischen Versicherung AG.- Die
IV-Strategie des Energieversorgungsunternehmens RWE Energie.-
Multinationale Informationsstrategien am Beispiel der Esso A. G.-
Perspektiven fur den Einsatz objektorientierter Datenbanksysteme in
CIM-orientierten Kosteninformationssystemen.- Datenbankgestutzte,
vertragsbasierte Buchhaltung.- Funktionsintegration in heterogenen
verteilten Informationssystemen - innovative Konzepte und
Fallstudien.- Mobile Rechneranwendungen in dezentralen verteilten
Systemumgebungen.- Podiumsdiskussion.- Abhangigkeit als
Entscheidungskriterium zwischen internen und externen
Organisationsformen der Informationsverarbeitung.-
Diversifikationseffekte als Erklarung fur Downsizing und
Outsourcing.- Redesign des Siemens-Nixdorf Service und die
Erweiterung von Business Process Reengineering zu IT-enabled
Business Innovation.- Geschaftsstrategie - Prozess -
Informationssystem.- The Use of Worldwide Networking by Global
Corporations.- Die Zukunft wird anders sein ! - Informationen
verandern die Welt.- Autoren- und Adressverzeichnis.-
Sponsorenverzeichnis.
This third volume in the series deals with such topics as
information systems practice and theory, information systems and
the accounting/auditing environment, and differing perspectives on
information systems research.
Numerical computation, knowledge discovery and statistical data
analysis integrated with powerful 2D and 3D graphics for
visualization are the key topics of this book. The Python code
examples powered by the Java platform can easily be transformed to
other programming languages, such as Java, Groovy, Ruby and
BeanShell. This book equips the reader with a computational
platform which, unlike other statistical programs, is not limited
by a single programming language.The author focuses on practical
programming aspects and covers a broad range of topics, from basic
introduction to the Python language on the Java platform (Jython),
to descriptive statistics, symbolic calculations, neural networks,
non-linear regression analysis and many other data-mining topics.
He discusses how to find regularities in real-world data, how to
classify data, and how to process data for knowledge discoveries.
The code snippets are so short that they easily fit into single
pages. Numeric Computation and Statistical Data Analysis on the
Java Platform is a great choice for those who want to learn how
statistical data analysis can be done using popular programming
languages, who want to integrate data analysis algorithms in
full-scale applications, and deploy such calculations on the web
pages or computational servers regardless of their operating
system. It is an excellent reference for scientific computations to
solve real-world problems using a comprehensive stack of
open-source Java libraries included in the DataMelt (DMelt) project
and will be appreciated by many data-analysis scientists, engineers
and students.
Recent achievements in hardware and software developments have
enabled the introduction of a revolutionary technology: in-memory
data management. This technology supports the flexible and
extremely fast analysis of massive amounts of data, such as
diagnoses, therapies, and human genome data. This book shares the
latest research results of applying in-memory data management to
personalized medicine, changing it from computational possibility
to clinical reality. The authors provide details on innovative
approaches to enabling the processing, combination, and analysis of
relevant data in real-time. The book bridges the gap between
medical experts, such as physicians, clinicians, and biological
researchers, and technology experts, such as software developers,
database specialists, and statisticians. Topics covered in this
book include - amongst others - modeling of genome data processing
and analysis pipelines, high-throughput data processing, exchange
of sensitive data and protection of intellectual property. Beyond
that, it shares insights on research prototypes for the analysis of
patient cohorts, topology analysis of biological pathways, and
combined search in structured and unstructured medical data, and
outlines completely new processes that have now become possible due
to interactive data analyses.
This book introduces readers to the basic concepts of and latest
findings in the area of differential equations with uncertain
factors. It covers the analytic method and numerical method for
solving uncertain differential equations, as well as their
applications in the field of finance. Furthermore, the book
provides a number of new potential research directions for
uncertain differential equation. It will be of interest to
researchers, engineers and students in the fields of mathematics,
information science, operations research, industrial engineering,
computer science, artificial intelligence, automation, economics,
and management science.
This is a book for people who love mechanics of composite materials
and ? MATLAB . We will use the popular computer package MATLAB as a
matrix calculator for doing the numerical calculations needed in
mechanics of c- posite materials. In particular, the steps of the
mechanical calculations will be emphasized in this book. The reader
will not ?nd ready-made MATLAB programs for use as black boxes.
Instead step-by-step solutions of composite material mechanics
problems are examined in detail using MATLAB. All the problems in
the book assume linear elastic behavior in structural mechanics.
The emphasis is not on mass computations or programming, but rather
on learning the composite material mechanics computations and
understanding of the underlying concepts. The basic aspects of the
mechanics of ?ber-reinforced composite materials are covered in
this book. This includes lamina analysis in both the local and
global coordinate systems, laminate analysis, and failure theories
of a lamina.
Computational inference is based on an approach to statistical
methods that uses modern computational power to simulate
distributional properties of estimators and test statistics. This
book describes computationally intensive statistical methods in a
unified presentation, emphasizing techniques, such as the PDF
decomposition, that arise in a wide range of methods.
A collection of surveys and research papers on mathematical software and algorithms. The common thread is that the field of mathematical applications lies on the border between algebra and geometry. Topics include polyhedral geometry, elimination theory, algebraic surfaces, Gröbner bases, triangulations of point sets and the mutual relationship. This diversity is accompanied by the abundance of available software systems which often handle only special mathematical aspects. This is why the volume also focuses on solutions to the integration of mathematical software systems. This includes low-level and XML based high-level communication channels as well as general frameworks for modular systems.
This book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. Over 170 figures are included in the book.
These are the proceedings of the 22nd International Conference on
Domain Decomposition Methods, which was held in Lugano,
Switzerland. With 172 participants from over 24 countries, this
conference continued a long-standing tradition of internationally
oriented meetings on Domain Decomposition Methods. The book
features a well-balanced mix of established and new topics, such as
the manifold theory of Schwarz Methods, Isogeometric Analysis,
Discontinuous Galerkin Methods, exploitation of modern HPC
architectures and industrial applications. As the conference
program reflects, the growing capabilities in terms of theory and
available hardware allow increasingly complex non-linear and
multi-physics simulations, confirming the tremendous potential and
flexibility of the domain decomposition concept.
This book features 13 papers presented at the Fifth International
Symposium on Recurrence Plots, held August 2013 in Chicago, IL. It
examines recent applications and developments in recurrence plots
and recurrence quantification analysis (RQA) with special emphasis
on biological and cognitive systems and the analysis of coupled
systems using cross-recurrence methods. Readers will discover new
applications and insights into a range of systems provided by
recurrence plot analysis and new theoretical and mathematical
developments in recurrence plots. Recurrence plot based analysis is
a powerful tool that operates on real-world complex systems that
are nonlinear, non-stationary, noisy, of any statistical
distribution, free of any particular model type and not
particularly long. Quantitative analyses promote the detection of
system state changes, synchronized dynamical regimes or
classification of system states. The book will be of interest to an
interdisciplinary audience of recurrence plot users and researchers
interested in time series analysis of complex systems in general.
Fully updated for Microsoft Dynamics AX 2012 R3! Dig into the
architecture and internals of Microsoft Dynamics AX 2012 R3 - with
firsthand insights from the team that designed and developed it.
Deepen your knowledge of the underlying frameworks, components, and
tools - and deliver custom ERP applications with the extensibility
and performance your business needs. Useful for Microsoft Dynamics
AX solution developers at all levels, this guide will provide max
benefit to those who understand OOP, relational database, and
Transact-SQL concepts. Gain best practices, patterns, and
techniques to: Exploit interoperability with Microsoft Visual
Studio tools Work with MorphX and avoid common pitfalls with X++
code Use Enterprise Portal with ASP.NET and SharePoint for rich
web-based apps Simplify process automation with built-in workflow
infrastructure See how the runtime implements security and
configuration Design and customize the user experience Gain greater
control over complex batch jobs Customize the prebuilt BI solution
and reporting Test applications, publish services, and optimize
performance
This second volume in the series covers such topics as information
systems practice and theory, information systems and the
accounting/auditing environment, and differing perspectives on
information systems research.
Water Resource Modeling and Computational Technologies, Seventh
Edition provides the reader with a comprehensive overview of the
applications that computational techniques have in various sectors
of water resource engineering. The book explores applications of
recent modeling and computational techniques in various sectors of
water resource engineering, including hydroinformatics, irrigation
engineering, climate change, hydrologic forecasting, floods,
droughts, image processing, GIS, water quality, aquifer mapping,
basin scale modeling, computational fluid dynamics, numerical
modeling of surges and groundwater flow, river engineering, optimal
reservoir operation, multipurpose projects, and water resource
management. As such, this is a must read for hydrologists, civil
engineers and water resource managers.
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