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Author: Peter Horsfall
Publisher: Nelson Thornes
ISBN: 9780174387473
Category : Juvenile Nonfiction
Languages : en
Pages : 214
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Book Description
This textbook follows the QCA Scheme of Work. It has extended page layout to allow full coverage of topics and learning objectives and learning methods to support student planning and learning at the start of each chapter. Ideas and evidence in science are fully supported and homework and revision questions are included at the end of each chapter.
Author: Peter Horsfall
Publisher: Nelson Thornes
ISBN: 9780174387473
Category : Juvenile Nonfiction
Languages : en
Pages : 214
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Book Description
This textbook follows the QCA Scheme of Work. It has extended page layout to allow full coverage of topics and learning objectives and learning methods to support student planning and learning at the start of each chapter. Ideas and evidence in science are fully supported and homework and revision questions are included at the end of each chapter.
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
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Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: Albert-László Barabási
Publisher: Cambridge University Press
ISBN: 1107076269
Category : Computers
Languages : en
Pages : 477
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Book Description
Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.
Author: William R Wagner
Publisher: Academic Press
ISBN: 0128161388
Category : Technology & Engineering
Languages : en
Pages : 1612
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Book Description
The revised edition of the renowned and bestselling title is the most comprehensive single text on all aspects of biomaterials science from principles to applications. Biomaterials Science, fourth edition, provides a balanced, insightful approach to both the learning of the science and technology of biomaterials and acts as the key reference for practitioners who are involved in the applications of materials in medicine.This new edition incorporates key updates to reflect the latest relevant research in the field, particularly in the applications section, which includes the latest in topics such as nanotechnology, robotic implantation, and biomaterials utilized in cancer research detection and therapy. Other additions include regenerative engineering, 3D printing, personalized medicine and organs on a chip. Translation from the lab to commercial products is emphasized with new content dedicated to medical device development, global issues related to translation, and issues of quality assurance and reimbursement. In response to customer feedback, the new edition also features consolidation of redundant material to ensure clarity and focus. Biomaterials Science, 4th edition is an important update to the best-selling text, vital to the biomaterials’ community. The most comprehensive coverage of principles and applications of all classes of biomaterials Edited and contributed by the best-known figures in the biomaterials field today; fully endorsed and supported by the Society for Biomaterials Fully revised and updated to address issues of translation, nanotechnology, additive manufacturing, organs on chip, precision medicine and much more. Online chapter exercises available for most chapters
Author: Harold Abelson
Publisher: MIT Press
ISBN: 0262367629
Category : Computers
Languages : en
Pages : 642
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Book Description
A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new material, in particular an introduction to the notion of program parsing. The evaluator and compiler in chapter five introduce a subtle stack discipline to support return statements (a prominent feature of statement-oriented languages) without sacrificing tail recursion. The JavaScript programs included in the book run in any implementation of the language that complies with the ECMAScript 2020 specification, using the JavaScript package sicp provided by the MIT Press website.
Author: Lisa D. Delpit
Publisher: The New Press
ISBN: 1595580743
Category : Education
Languages : en
Pages : 258
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Book Description
An updated edition of the award-winning analysis of the role of race in the classroom features a new author introduction and framing essays by Herbert Kohl and Charles Payne, in an account that shares ideas about how teachers can function as "cultural transmitters" in contemporary schools and communicate more effectively to overcome race-related academic challenges. Original.
Author: Steven L. Brunton
Publisher: Cambridge University Press
ISBN: 1009098489
Category : Computers
Languages : en
Pages : 615
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Book Description
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Author: Moritz Büchi
Publisher:
ISBN:
Category :
Languages : en
Pages : 94
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Book Description
Author: Mary Baker Eddy
Publisher: BEYOND BOOKS HUB
ISBN: 0202202380
Category :
Languages : en
Pages : 3
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Book Description
Science and Health, With Key to the Scriptures by Mary Baker Eddy is a seminal work that serves as the foundational text of Christian Science, offering profound insights into the nature of spirituality, healing, and the relationship between God and humanity. Originally published in the late 19th century, this book presents Eddy's theological perspectives and teachings, emphasizing the power of spiritual understanding in achieving physical and mental well-being.
Author: Jake VanderPlas
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912138
Category : Computers
Languages : en
Pages : 743
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Book Description
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
