R and Python for Oceanographers Book

R and Python for Oceanographers


  • Author : Hakan Alyuruk
  • Publisher : Elsevier
  • Release Date : 2019-06-15
  • Genre: Science
  • Pages : 300
  • ISBN 10 : 0128134917

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R and Python for Oceanographers Excerpt :

R and Python for Oceanographers: A Practical Guide with Applications describes the uses of scientific Python packages and R in oceanographic data analysis, including both script codes and graphic outputs. Each chapter begins with theoretical background that is followed by step-by-step examples of software applications, including scripts, graphics, tables and practical exercises for better understanding of the subject. Examples include frequently used data analysis approaches in physical and chemical oceanography, but also contain topics on data import/export and GIS mapping. The examples seen in book provide uses of the latest versions of Python and R libraries. Presents much needed oceanographic data analysis approaches to chemical and physical oceanography Includes examples with software applications (based on Python and R), including free software for the analysis of oceanographic data Provides guidance on how to get started, along with guidance on example code and output

R and Python for Oceanographers Book

R and Python for Oceanographers


  • Author : Hakan Alyuruk
  • Publisher : Elsevier
  • Release Date : 2019-06-09
  • Genre: Science
  • Pages : 186
  • ISBN 10 : 9780128134924

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R and Python for Oceanographers Excerpt :

R and Python for Oceanographers: A Practical Guide with Applications describes the uses of scientific Python packages and R in oceanographic data analysis, including both script codes and graphic outputs. Each chapter begins with theoretical background that is followed by step-by-step examples of software applications, including scripts, graphics, tables and practical exercises for better understanding of the subject. Examples include frequently used data analysis approaches in physical and chemical oceanography, but also contain topics on data import/export and GIS mapping. The examples seen in book provide uses of the latest versions of Python and R libraries. Presents much needed oceanographic data analysis approaches to chemical and physical oceanography Includes examples with software applications (based on Python and R), including free software for the analysis of oceanographic data Provides guidance on how to get started, along with guidance on example code and output

Oceanographic Analysis with R Book

Oceanographic Analysis with R


  • Author : Dan E. Kelley
  • Publisher : Springer
  • Release Date : 2018-10-17
  • Genre: Medical
  • Pages : 290
  • ISBN 10 : 9781493988440

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Oceanographic Analysis with R Excerpt :

This book presents the R software environment as a key tool for oceanographic computations and provides a rationale for using R over the more widely-used tools of the field such as MATLAB. Kelley provides a general introduction to R before introducing the ‘oce’ package. This package greatly simplifies oceanographic analysis by handling the details of discipline-specific file formats, calculations, and plots. Designed for real-world application and developed with open-source protocols, oce supports a broad range of practical work. Generic functions take care of general operations such as subsetting and plotting data, while specialized functions address more specific tasks such as tidal decomposition, hydrographic analysis, and ADCP coordinate transformation. In addition, the package makes it easy to document work, because its functions automatically update processing logs stored within its data objects. Kelley teaches key R functions using classic examples from the history of oceanography, specifically the work of Alfred Redfield, Gordon Riley, J. Tuzo Wilson, and Walter Munk. Acknowledging the pervasive popularity of MATLAB, the book provides advice to users who would like to switch to R. Including a suite of real-life applications and over 100 exercises and solutions, the treatment is ideal for oceanographers, technicians, and students who want to add R to their list of tools for oceanographic analysis.

Oceanography and Coastal Informatics  Breakthroughs in Research and Practice Book

Oceanography and Coastal Informatics Breakthroughs in Research and Practice


  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2018-11-02
  • Genre: Science
  • Pages : 469
  • ISBN 10 : 9781522573098

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Oceanography and Coastal Informatics Breakthroughs in Research and Practice Excerpt :

To date, a vast amount of the world’s oceans remains uncharted. With water covering more than 70 percent of the Earth’s surface, maritime and oceanographic exploration and research is vital. Oceanography and Coastal Informatics: Breakthroughs in Research and Practice is a critical source of academic knowledge centered on technologies, methodologies, and practices related to the biological and physical aspects of the ocean and coastal environments. This publication is divided into four sections: climate change and environmental concerns; data analysis and management; fisheries management and ecology; and GIS, geospatial analysis, and localization. This publication is an ideal reference source for oceanographers, marine and maritime professionals, researchers, and scholars interested in current research on various aspects of oceanography and coastal informatics.

Chemical Oceanography Book

Chemical Oceanography


  • Author : Steven R. Emerson
  • Publisher : Cambridge University Press
  • Release Date : 2022-03-31
  • Genre: Science
  • Pages : 500
  • ISBN 10 : 9781107179899

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Chemical Oceanography Excerpt :

A broad, clear introductory textbook on chemical oceanography for undergraduate and graduate students and a reference text for researchers.

Time Series Data Analysis in Oceanography Book

Time Series Data Analysis in Oceanography


  • Author : Chunyan Li
  • Publisher : Cambridge University Press
  • Release Date : 2022-05-05
  • Genre: Computers
  • Pages : 483
  • ISBN 10 : 9781108474276

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Time Series Data Analysis in Oceanography Excerpt :

Textbook for students and researchers in oceanography and Earth science on theory and practice of time series analysis using MATLAB.

Python and R for the Modern Data Scientist Book

Python and R for the Modern Data Scientist


  • Author : Rick J. Scavetta
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2021-06-22
  • Genre: Computers
  • Pages : 198
  • ISBN 10 : 9781492093374

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Python and R for the Modern Data Scientist Excerpt :

Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Rick Scavetta and Boyan Angelov explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist. Learn Python and R from the perspective of your current language Understand the strengths and weaknesses of each language Identify use cases where one language is better suited than the other Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows Learn how to integrate R and Python in a single workflow Follow a case study that demonstrates ways to use these languages together

Python for R Users Book

Python for R Users


  • Author : Ajay Ohri
  • Publisher : John Wiley & Sons
  • Release Date : 2017-11-13
  • Genre: Computers
  • Pages : 368
  • ISBN 10 : 9781119126768

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Python for R Users Excerpt :

The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete with sample code—of R to Python and Python to R. Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data mining—including supervised and unsupervised data mining methods—are treated in detail, as are time series forecasting, text mining, and natural language processing. • Features a quick-learning format with concise tutorials and actionable analytics • Provides command-by-command translations of R to Python and vice versa • Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages • Offers numerous comparative examples and applications in both programming languages • Designed for use for practitioners and students that know one language and want to learn the other • Supplies slides useful for teaching and learning either software on a companion website Python for R Users: A Data Science Approach is a valuable working resource for computer scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as textbook for students of computer science and statistics. A. Ohri is the founder of Decisionstats.com and currently works as a senior data scientist. He has ad

Oceanography and Marine Biology Book

Oceanography and Marine Biology


  • Author : S. J. Hawkins
  • Publisher : CRC Press
  • Release Date : 2018-11-21
  • Genre: Science
  • Pages : 510
  • ISBN 10 : 9780429845758

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Oceanography and Marine Biology Excerpt :

Key features: Explores the implications of long-term climate change for biogeography and ecological processes in the Southern Ocean Updates knowledge of symbiotic polychaetes in light of the last 20 years of research Considers the adaptions and environments of Antarctic marine biodiversity Examines the false hope of cetacean conservation Reviews work in Mediterranean venting systems releasing carbon dioxide as a model for understanding ocean acidification Looks at the impacts and environmental risks of oil spills of marine invertebrates, algae and seagrass Oceanography and Marine Biology: An Annual Review remains one of the most cited sources in marine science and oceanography. The ever increasing interest in work in oceanography and marine biology and its relevance to global environmental issues, especially global climate change and its impacts, creates a demand for authoritative reviews summarizing the results of recent research. OMBAR has catered to this demand since its foundation more than 50 years ago. Following the favourable reception and complimentary reviews accorded to all the volumes, Volume 56 continues to regard the marine sciences—with all their various aspects—as a unity. Physical, chemical, and biological aspects of marine science are dealt with by experts actively engaged in these fields, and every chapter is peer-reviewed by other experts working actively in the specific areas of interest. The series is an essential reference text for researchers and students in all fields of marine science and related subjects, and it finds a place in libraries of universities, marine laboratories, research institutes and government departments. It is consistently among the highest ranking series in terms of impact factor in the marine biology category of the citation indices compiled by the Institute for Scientific Information/Web of Science. Two chapters are available to read Open Access on our Routledge website at https://www.routledge.com/9781138318625

Climate Mathematics Book

Climate Mathematics


  • Author : Samuel S. P. Shen
  • Publisher : Cambridge University Press
  • Release Date : 2019-09-30
  • Genre: Mathematics
  • Pages : 456
  • ISBN 10 : 9781108476874

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Climate Mathematics Excerpt :

Presents the core mathematics, statistics, and programming skills needed for modern climate science courses, with online teaching materials.

Algorithms For Dummies Book

Algorithms For Dummies


  • Author : John Paul Mueller
  • Publisher : John Wiley & Sons
  • Release Date : 2017-04-24
  • Genre: Computers
  • Pages : 432
  • ISBN 10 : 9781119330493

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Algorithms For Dummies Excerpt :

Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.

Mining Imperfect Data Book

Mining Imperfect Data


  • Author : Ronald K. Pearson
  • Publisher : SIAM
  • Release Date : 2020-09-10
  • Genre: Computers
  • Pages : 581
  • ISBN 10 : 9781611976274

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Mining Imperfect Data Excerpt :

It has been estimated that as much as 80% of the total effort in a typical data analysis project is taken up with data preparation, including reconciling and merging data from different sources, identifying and interpreting various data anomalies, and selecting and implementing appropriate treatment strategies for the anomalies that are found. This book focuses on the identification and treatment of data anomalies, including examples that highlight different types of anomalies, their potential consequences if left undetected and untreated, and options for dealing with them. As both data sources and free, open-source data analysis software environments proliferate, more people and organizations are motivated to extract useful insights and information from data of many different kinds (e.g., numerical, categorical, and text). The book emphasizes the range of open-source tools available for identifying and treating data anomalies, mostly in R but also with several examples in Python. Mining Imperfect Data: With Examples in R and Python, Second Edition presents a unified coverage of 10 different types of data anomalies (outliers, missing data, inliers, metadata errors, misalignment errors, thin levels in categorical variables, noninformative variables, duplicated records, coarsening of numerical data, and target leakage). It includes an in-depth treatment of time-series outliers and simple nonlinear digital filtering strategies for dealing with them, and it provides a detailed introduction to several useful mathematical characteristics of important data characterizations that do not appear to be widely known among practitioners, such as functional equations and key inequalities. While this book is primarily for data scientists, researchers in a variety of fields—namely statistics, machine learning, physics, engineering, medicine, social sciences, economics, and business—will also find it useful.

Proceedings of the 10th Ph D  Retreat of the HPI Research School on Service oriented Systems Engineering Book

Proceedings of the 10th Ph D Retreat of the HPI Research School on Service oriented Systems Engineering


  • Author : Meinel, Christoph
  • Publisher : Universitätsverlag Potsdam
  • Release Date : 2018-01-17
  • Genre: Computers
  • Pages : 255
  • ISBN 10 : 9783869563909

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Proceedings of the 10th Ph D Retreat of the HPI Research School on Service oriented Systems Engineering Excerpt :

Design and Implementation of service-oriented architectures imposes a huge number of research questions from the fields of software engineering, system analysis and modeling, adaptability, and application integration. Component orientation and web services are two approaches for design and realization of complex web-based system. Both approaches allow for dynamic application adaptation as well as integration of enterprise application. Commonly used technologies, such as J2EE and .NET, form de facto standards for the realization of complex distributed systems. Evolution of component systems has lead to web services and service-based architectures. This has been manifested in a multitude of industry standards and initiatives such as XML, WSDL UDDI, SOAP, etc. All these achievements lead to a new and promising paradigm in IT systems engineering which proposes to design complex software solutions as collaboration of contractually defined software services. Service-Oriented Systems Engineering represents a symbiosis of best practices in object-orientation, component-based development, distributed computing, and business process management. It provides integration of business and IT concerns. The annual Ph.D. Retreat of the Research School provides each member the opportunity to present his/her current state of their research and to give an outline of a prospective Ph.D. thesis. Due to the interdisciplinary structure of the research school, this technical report covers a wide range of topics. These include but are not limited to: Human Computer Interaction and Computer Vision as Service; Service-oriented Geovisualization Systems; Algorithm Engineering for Service-oriented Systems; Modeling and Verification of Self-adaptive Service-oriented Systems; Tools and Methods for Software Engineering in Service-oriented Systems; Security Engineering of Service-based IT Systems; Service-oriented Information Systems; Evolutionary Transition of Enterprise Applications to Service Orien

Deep Learning with Python Book

Deep Learning with Python


  • Author : Francois Chollet
  • Publisher : Simon and Schuster
  • Release Date : 2017-11-30
  • Genre: Computers
  • Pages : 384
  • ISBN 10 : 9781638352044

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Deep Learning with Python Excerpt :

Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a

Ocean Circulation in Three Dimensions Book

Ocean Circulation in Three Dimensions


  • Author : Barry A. Klinger
  • Publisher : Cambridge University Press
  • Release Date : 2019-03-31
  • Genre: Science
  • Pages : 494
  • ISBN 10 : 9780521768436

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Ocean Circulation in Three Dimensions Excerpt :

An innovative survey of large-scale ocean circulation that links observations, conceptual models, numerical models, and theories.