Bootstrap 5 Foundations PDF Download
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Author: Daniel Charles Foreman
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 142
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Book Description
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.
Author: Daniel Charles Foreman
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 142
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Book Description
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.
Author: Jake Spurlock
Publisher: "O'Reilly Media, Inc."
ISBN: 1449344593
Category : Computers
Languages : en
Pages : 128
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Book Description
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
Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433
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Book Description
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.
Author: Jennifer Kyrnin
Publisher: Sams Publishing
ISBN: 0133540235
Category : Computers
Languages : en
Pages : 845
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Book Description
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
Author: Abdelhak M. Zoubir
Publisher: Cambridge University Press
ISBN: 9781139452021
Category : Technology & Engineering
Languages : en
Pages : 238
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Book Description
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.
Author: Andrew S. Zieffler
Publisher: John Wiley & Sons
ISBN: 1118063678
Category : Social Science
Languages : en
Pages : 332
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Book Description
A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research Computing has become an essential part of the day-to-day practice of statistical work, broadening the types of questions that can now be addressed by research scientists applying newly derived data analytic techniques. Comparing Groups: Randomization and Bootstrap Methods Using R emphasizes the direct link between scientific research questions and data analysis. Rather than relying on mathematical calculations, this book focus on conceptual explanations and the use of statistical computing in an effort to guide readers through the integration of design, statistical methodology, and computation to answer specific research questions regarding group differences. Utilizing the widely-used, freely accessible R software, the authors introduce a modern approach to promote methods that provide a more complete understanding of statistical concepts. Following an introduction to R, each chapter is driven by a research question, and empirical data analysis is used to provide answers to that question. These examples are data-driven inquiries that promote interaction between statistical methods and ideas and computer application. Computer code and output are interwoven in the book to illustrate exactly how each analysis is carried out and how output is interpreted. Additional topical coverage includes: Data exploration of one variable and multivariate data Comparing two groups and many groups Permutation tests, randomization tests, and the independent samples t-Test Bootstrap tests and bootstrap intervals Interval estimates and effect sizes Throughout the book, the authors incorporate data from real-world research studies as well aschapter problems that provide a platform to perform data analyses. A related Web site features a complete collection of the book's datasets along with the accompanying codebooks and the R script files and commands, allowing readers to reproduce the presented output and plots. Comparing Groups: Randomization and Bootstrap Methods Using R is an excellent book for upper-undergraduate and graduate level courses on statistical methods, particularlyin the educational and behavioral sciences. The book also serves as a valuable resource for researchers who need a practical guide to modern data analytic and computational methods.
Author: A. C. Davison
Publisher: Cambridge University Press
ISBN: 9780521574716
Category : Computers
Languages : en
Pages : 606
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Book Description
Disk contains the library functions and documentation for use with Splus for Windows.
Author: Andrew Couldwell
Publisher: Owl Studios
ISBN:
Category : Computers
Languages : en
Pages : 268
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Book Description
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.
Author: Randall Pruim
Publisher: American Mathematical Soc.
ISBN: 1470428482
Category : Mathematical statistics
Languages : en
Pages : 820
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Book Description
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.
Author: Sally A. Fincher
Publisher:
ISBN: 1108756212
Category : Computers
Languages : en
Pages : 924
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Book Description
This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.
