Bootstrap 5 Foundations

Bootstrap 5 Foundations

Author: Daniel Charles Foreman

Publisher: Independently Published

Published: 2021-05-06

Total Pages: 142

ISBN-13:

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Bootstrap is a HTML5, CSS and JavaScript framework that enjoys 72% of the market share. It is used to create mobile-first responsive websites quickly and easily. Bootstrap 5 is the newest version of this framework. Leaving behind jQuery for a more integrated web languages model Bootstrap 5 will drive a new generation of websites.No matter what your goal, this eBook will get you working with and understanding how Bootstrap 5 works. No matter what your goal, curiosity, career building, developing a business website. This eBook will give you the understanding you need to take existing HTML5 skills and use them with the world's most popular web framework.


Foundations of Data Science

Foundations of Data Science

Author: Avrim Blum

Publisher: Cambridge University Press

Published: 2020-01-23

Total Pages: 433

ISBN-13: 1108617360

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This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.


Bootstrap

Bootstrap

Author: Jake Spurlock

Publisher: "O'Reilly Media, Inc."

Published: 2013-05-08

Total Pages: 127

ISBN-13: 1449344607

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Discover how easy it is to design killer interfaces and responsive websites with the Bootstrap framework. This practical book gets you started building pages with Bootstrap’s HTML/CSS-based tools and design templates right away. You’ll also learn how to extend your app with interactive features, using its suite of jQuery plugins—often without writing a single line of code. Developed by Twitter and available free from GitHub, Bootstrap supports responsive design by dynamically adjusting your web page layout. With just a basic knowledge of HTML, CSS, and JavaScript, you can build apps that work equally well on desktop screens, smartphones, and tablets. This book shows you how. Become familiar with Bootstrap’s file structure, grid systems, and container layouts Learn HTML elements for typography, code, tables, forms, buttons, images, and icons Design interfaces and other web elements, such as navigation, breadcrumbs, and custom modal windows Use jQuery plugins for features such as revolving slideshows, tabbable interfaces, and dropdown menus Modify everything from column count to typography colors with the LESS stylesheet language


Bootstrap Techniques for Signal Processing

Bootstrap Techniques for Signal Processing

Author: Abdelhak M. Zoubir

Publisher: Cambridge University Press

Published: 2004-05-06

Total Pages: 238

ISBN-13: 9781139452021

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The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering and automotive engineering.


Foundations and Applications of Statistics

Foundations and Applications of Statistics

Author: Randall Pruim

Publisher: American Mathematical Soc.

Published: 2018-04-04

Total Pages: 842

ISBN-13: 1470428482

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Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern statistics. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the motivation for several probability distributions comes from p-value computations. Pruim develops the students' practical statistical reasoning through explicit examples and through numerical and graphical summaries of data that allow intuitive inferences before introducing the formal machinery. The topics have been selected to reflect the current practice in statistics, where computation is an indispensible tool. In this vein, the statistical computing environment R is used throughout the text and is integral to the exposition. Attention is paid to developing students' mathematical and computational skills as well as their statistical reasoning. Linear models, such as regression and ANOVA, are treated with explicit reference to the underlying linear algebra, which is motivated geometrically. Foundations and Applications of Statistics discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across disciplines. The book contains ample material for a two-semester course in undergraduate probability and statistics. A one-semester course based on the book will cover hypothesis testing and confidence intervals for the most common situations. In the second edition, the R code has been updated throughout to take advantage of new R packages and to illustrate better coding style. New sections have been added covering bootstrap methods, multinomial and multivariate normal distributions, the delta method, numerical methods for Bayesian inference, and nonlinear least squares. Also, the use of matrix algebra has been expanded, but remains optional, providing instructors with more options regarding the amount of linear algebra required.


Bootstrap in 24 Hours, Sams Teach Yourself

Bootstrap in 24 Hours, Sams Teach Yourself

Author: Jennifer Kyrnin

Publisher: Sams Publishing

Published: 2015-11-04

Total Pages: 845

ISBN-13: 0133540235

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Learn to create great-looking responsive web sites with Bootstrap In just 24 lessons of one hour or less, Sams Teach Yourself Bootstrap in 24 Hours helps you use the free and open source Bootstrap framework to quickly build websites that automatically reflect each user’s device and experience, without complex hand crafting. This book’s straightforward, step-by-step approach shows you how to install Bootstrap and quickly build basic sites; extend them with styles, components, and JavaScript plug-ins, and even create sophisticated designs with advanced features. In just a few hours, you’ll be using Bootstrap to bring responsive design to virtually any site. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success. Step-by-step instructions carefully walk you through the most common Bootstrap development tasks Practical, hands-on examples show you how to apply what you learn Quizzes and exercises help you test your knowledge and stretch your skills Notes and tips point out shortcuts and solution Learn how to... Download Bootstrap and integrate it into your project Quickly build your first Bootstrap site with the basic template Create beautiful and responsive site layouts with Bootstrap’s built-in grids Display more interesting text with labels, badges, panels, and wells Style tables and forms so they’re attractive, readable, and responsive Use images, media, and icons, including free Glyphicons Quickly create navigation and buttons, including dropdowns and search fields Add alignment, color, and visibility with Bootstrap’s CSS utilities Extend your site with alerts, image carousels, and other JavaScript plugins Rapidly create appealing functional prototypes Customize Bootstrap with CSS, Less, and Sass Lighten Bootstrap downloads by stripping out unnecessary features Build accessible sites Create complex designs that don’t look generic Who This Book is For Those who already have an understanding of the basics of HTML and CSS Having an understanding of JavaScript will make this book a bit easier to absorb, but it is not required because the basics of JavaScript are covered


Research Foundations

Research Foundations

Author: Douglas Woodwell

Publisher: SAGE Publications

Published: 2013-11-07

Total Pages: 224

ISBN-13: 1483334058

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Designing research can be daunting and disorienting for novices. After experiencing this first-hand, the author has written a book that shows how to mentally frame research in a way that is understandable and approachable while also discussing some of the more specific issues that will aid the reader in understanding the options available when pursuing their research. Stressing the link between research and theory-building, this concise book shows students how new knowledge is discovered through the process of research. The author presents a model that ties together research processes across the various traditions and shows how different types of research interrelate. The book is sophisticated in its presentation, but uses plain language to provide an explanation of higher-level concepts in an engaging manner. Throughout the book, the author treats research methodologies as a blueprint for answering a wide range of interesting questions, rather than simply a set of tools to be applied. The book is an excellent guide for students who will be consumers of research and who need to understand how theory and research interrelate. "The author did an excellent job on this text. This text is the missing link in explaining research methodologies. His comparison/contrasts are excellent. Moreover, the author provides interesting alternatives and discusses how each alternative might improve the validity of research." —James Anthos, South University, Columbia "...With only six chapters, the text can be covered in a short time allowing for students to spend the majority of their time investigating social issues and developing research. Students who read and understand this book will have the knowledge and resources to cover material they are unfamiliar with." —R. David Frantzreb II, University of North Carolina - Charlotte "I am looking for something just like this that is not overbearing for the student but will complement the supplementary material and resources that I am using with my students. I think the coverage is broad enough that I could use it with all of my groups." —Karen Larwin, Youngstown State University "...I think the author’s emphasis on demonstrating the relationship between theory and research is terribly important and understated in so many other texts. I also think that in the hands of competent professors, it can be supplemented with other sources to help students learn while not being encumbered financially with an expensive tome for which they may only use a fraction of it." —John R. Mitrano, Central Connecticut State University


Laying the Foundations

Laying the Foundations

Author: Andrew Couldwell

Publisher: Owl Studios

Published: 2019-10-16

Total Pages: 268

ISBN-13:

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Laying the Foundations is a comprehensive guide to creating, documenting, and maintaining design systems, and how to design websites and products systematically. It's an ideal book for web designers and product designers (of all levels) and especially design teams. Paperback ISBN: 9780578540030 This is real talk about creating design systems and digital brand guidelines. No jargon, no glossing over the hard realities, and no company hat. Just good advice, experience, and practical tips. System design is not a scary thing — this book aims to dispel that myth. It covers what design systems are, why they are important, and how to get stakeholder buy-in to create one. It introduces you to a simple model, and two very different approaches to creating a design system. What's unique about this book is its focus on the importance of brand in design systems, web design, product design, and when creating documentation. It's a comprehensive guide that’s simple to follow and easy on the eye.


Responsive Web Design with HTML5 and CSS

Responsive Web Design with HTML5 and CSS

Author: Ben Frain

Publisher: Packt Publishing Ltd

Published: 2020-04-30

Total Pages: 409

ISBN-13: 1839219793

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Publisher's note: To make use of the most recent CSS and HTML features, a new, fully revised fourth edition of this book is now available, updated for 2022. Key FeaturesUnderstand what responsive web design is and its significance for modern web developmentExplore the latest developments in responsive web design including variable fonts, CSS Scroll Snap, and moreGet to grips with the uses and benefits of the new CSS Grid layoutBook Description Responsive Web Design with HTML5 and CSS, Third Edition is a renewed and extended version of one of the most comprehensive and bestselling books on the latest HTML5 and CSS tools and techniques for responsive web design. Written in the author's signature friendly and informal style, this edition covers all the newest developments and improvements in responsive web design including better user accessibility, variable fonts and font loading, CSS Scroll Snap, and much, much more. With a new chapter dedicated to CSS Grid, you will understand how it differs from the Flexbox layout mechanism and when you should use one over the other. Furthermore, you will acquire practical knowledge of SVG, writing accessible HTML markup, creating stunning aesthetics and effects with CSS, applying transitions, transformations, and animations, integrating media queries, and more. The book concludes by exploring some exclusive tips and approaches for front-end development from the author. By the end of this book, you will not only have a comprehensive understanding of responsive web design and what is possible with the latest HTML5 and CSS, but also the knowledge of how to best implement each technique. What you will learnIntegrate CSS media queries into your designs; apply different styles to different devicesLoad different sets of images depending upon screen size or resolutionLeverage the speed, semantics, and clean markup of accessible HTML patternsImplement SVGs into your designs to provide resolution-independent imagesApply the latest features of CSS like custom properties, variable fonts, and CSS GridAdd validation and interface elements like date and color pickers to HTML formsUnderstand the multitude of ways to enhance interface elements with filters, shadows, animations, and moreWho this book is for Are you a full-stack developer who needs to gem up on their front-end skills? Perhaps you work on the front-end and you need a definitive overview of all modern HTML and CSS has to offer? Maybe you have done a little website building but you need a deep understanding of responsive web designs and how to achieve them? This is a book for you! All you need to take advantage of this book is a working understanding of HTML and CSS. No JavaScript knowledge is needed.


Modern Data Science with R

Modern Data Science with R

Author: Benjamin S. Baumer

Publisher: CRC Press

Published: 2021-03-31

Total Pages: 830

ISBN-13: 0429575394

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From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.