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Lights, Camera, Fashion! (Sew Zoey)
by Chloe Taylor Nancy ZhangCan Zoey dazzle at the school dance AND as a guest judge on her favorite reality show? Includes "Sew Zoey" blog posts and fashion illustrations. Zoey's school is having a dance, and everyone is talking about whom to ask (and what to wear ). Zoey gets to work sewing special dresses for her friends Kate and Priti, and the girls make a pact to ask their crushes. Things seem all zipped up. . . until Zoey gets a phone call from her favorite reality show, "Fashion Showdown "The producer is a fan of the Sew Zoey blog and wants Zoey to be a guest judge on an upcoming episode. It's shaping up to be a fashion fairy tale, but then reality hits: the reality TV show taping is on the same day as the school dance What will Zoey choose, the dance or the dream?
Lights, Music, Code! #3 (Girls Who Code)
by Jo Whittemore Reshma SaujaniPerfect for fans of The Babysitters Club and anyone interested in computer science, this series is published in partnership with the organization Girls Who Code!Maya and her friends from coding club have an exciting new project: they're coding lights and music for the winter dance! But when Maya's old troublemaking friend Maddie moves to town, Maya starts spending a lot of time with her, and less time with her coding friends. Maddie just gets her in a way that her other friends don't. Will Maya get swayed by Maddie's wayward ways, or will she stay true to her "permanent group" from coding club? And will she come through on her part for the light and music coding project? Maybe coding--like friendship--is about being there for your friends when they need you the most.
Lighttpd
by Andre BogusThis book is for System Administrators or Web Developers seeking a lean deployment platform for web applications or who want to switch to a "lighter" web server than Apache.
Lighttpd kurz & gut
by Michael KriegLighttpd -- auch lighty genannt -- ist ein sicherer, schneller, komfortabler und sehr flexibler Webserver, der speziell für den Einsatz von Webseiten mit hohem Traffic konzipiert wurde. Durch kluges Speicher-Management und günstige CPU-Auslastung sowie umfangreiche Features (FastCGI, CGI, Auth, Output-Kompression, URL-Rewriting) ist der Webserver bestens für Webseiten mit hohem Traffic geeignet. Lighttpd ist Open Source und steht unter der BSD-Lizenz. Lighttpd kurz &gut beschreibt typische Anwendungsszenarien, erklärt Konfigurationsparameter und dient sowohl dem Administrator als auch dem ambitionierten Web Developer als Nachschlagewerk für Lighttpd. Es hilft dabei, die vielen Möglichkeiten der Konfiguration zu zeigen und anhand typischer Anwendungsszenarien den Einstieg - oder auch den geplanten Umstieg - leicht zu machen. Darüber hinaus ist es ein nützlicher Helfer für die alltägliche Arbeit mit Lighttpd.
Lightweight Cryptography for Security and Privacy
by Thomas Eisenbarth Erdinç ÖztürkThis book constitutes the refereed post-conference proceedings of the Third International Workshop on Lightweight Cryptography for Security and Privacy, LightSec 2014, held in Istanbul, Turkey, in September 2014. The 10 full papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in the following topical sections: efficient implementations and designs; attacks; and protocols.
Lightweight Cryptography for Security and Privacy
by Amir Moradi Gregor Leander Tim GüneysuThisbook constitutes the refereed post-conference proceedings of the 4thInternational Workshop on Lightweight Cryptography for Security and Privacy,LightSec 2015, held in Bochum, Germany, in September 2015. The9 full papers presented were carefully reviewed and selected from 17submissions. The papers are organized in the following topical sections: cryptanalysis,lightweight constructions, implementation challenges.
Lightweight Django: Using REST, WebSockets, and Backbone
by Julia Solórzano Mark LavinHow can you take advantage of the Django framework to integrate complex client-side interactions and real-time features into your web applications? Through a series of rapid application development projects, this hands-on book shows experienced Django developers how to include REST APIs, WebSockets, and client-side MVC frameworks such as Backbone.js into new or existing projects.Learn how to make the most of Django’s decoupled design by choosing the components you need to build the lightweight applications you want. Once you finish this book, you’ll know how to build single-page applications that respond to interactions in real time. If you’re familiar with Python and JavaScript, you’re good to go.Learn a lightweight approach for starting a new Django projectBreak reusable applications into smaller services that communicate with one anotherCreate a static, rapid prototyping site as a scaffold for websites and applicationsBuild a REST API with django-rest-frameworkLearn how to use Django with the Backbone.js MVC frameworkCreate a single-page web application on top of your REST APIIntegrate real-time features with WebSockets and the Tornado networking libraryUse the book’s code-driven examples in your own projects
Like, Comment, Subscribe: Inside YouTube's Chaotic Rise to World Domination
by Mark BergenThe gripping inside story of YouTube, the company that upended media, culture, industry, and democracy—by a leading tech journalistAcross the world, people watch more than a billion hours of video on YouTube every day. Every minute, more than five hundred additional hours of footage are uploaded to the site, a technical feat unmatched in the history of computing. YouTube invented the attention economy we all live in today, forever changing how people are entertained, informed, and paid online. Everyone knows YouTube. And yet virtually no one knows how it works.Like, Comment, Subscribe is the first book to reveal the riveting, behind-the-scenes account of YouTube&’s technology and business, detailing how it helped Google, its parent company, achieve unimaginable power, a narrative told through the people who run YouTube and the famous stars born on its stage. It&’s the story of a revolution in media and an industry run amok, how a devotion to a simple idea—let everyone broadcast online and make money doing so—unleashed an outrage and addiction machine that spun out of the company&’s control and forever changed the world.Mark Bergen, a top technology reporter at Bloomberg, might know Google better than any other reporter in Silicon Valley, having broken numerous stories about its successes and scandals. As compelling as the very platform it investigates, Like, Comment, Subscribe is a thrilling, character-driven story of technological and creative ingenuity and the hubris that undermined it.
Like My Stuff: How to Get 750 Million Members to Buy Your Products on Facebook
by Natalie L PetouhoffFacebook is the largest, fastest growing and popular social media site in the world today. With more than half a billion members, it has been a major force in both the cultural and business area for years now, and has now changed everything with f-commerce. In this e-book, Social Media specialist Dr. Natalie Petouhoff explains how this powerful new feature works and provides strategies for businesses to boost their sales, promote their brands, and increase their online presence.Dr. Natalie helps companies understand how social media affects the bottom-line and to create strategies that provide real business value. As a USC Adjunct professor, Natalie takes her real-world experiences as a Forrester Social Media Analyst, an Agency executive and a consulting executive and translates it into practical business advice.
Liking Jesus: Intimacy and Contentment in a Selfie-Centered World
by Craig GroeschelIn Liking Jesus, a timely and life-changing book, New York Times bestselling author and pastor of Life.Church Craig Groeschel helps put Christ first again in today’s maxed out, selfie-centered world.The more you compare, the less satisfied you are. The more we interact online, the more we crave intimacy. The more filtered our lives become, the harder it is to be real.It’s time to refresh and rediscover what it means to be “like Jesus” and find true authenticity, a healthy self-image, and compassion for others in an age when we relate to each other so differently than ever before. Groeschel taps into some of the most leading-edge studies on the effects of social media on our emotions and friendships. He offers real-life examples of how we struggle with screens and likes, how these things mask our struggles with who we really are, and how we can reclaim a Christ-centered life.Packed with helpful topics like the “10 Commandments of Using Social Media to Strengthen Your Faith” and “Creating Safeguards for Your Digital Devices,” readers from ages sixteen to sixty will find Liking Jesus to be just the guide to bring balance and real-world engagement to everyday life.
Liking Jesus Bible Study Guide: Intimacy and Contentment in a Selfie-Centered World
by Craig GroeschelWe all love the benefits of technology. But even with the upsides, many of us suspect there are negative consequences beyond our control. The more we interact online, the more we crave face-to-face intimacy. The more we compare ourselves with others, the less satisfied we are. The more filtered our lives become, the more challenging it is to be authentic.In this small group video-based study, pastor and bestselling author Craig Groeschel shows how we can stay engaged with social media while still keeping our eyes focused on Jesus. In five sessions, he reveals how we can rediscover our understanding of the biblical principles life with Christ brings–contentment, intimacy, authenticity, compassion, and rest–and put God first in our social media saturated world.This study guide includes video discussion questions, Bible exploration, and personal study and reflection materials for in between sessions.Sessions include:Recovering ContentmentRestoring IntimacyRevealing AuthenticityResurrecting CompassionReplenishing RestDesigned for use with the Liking Jesus Video Study (sold separately).
Liminal Thinking
by Dave Gray"Why do some people succeed at change while others fail? It's the way they think! Liminal thinking is a way to create change by understanding, shaping, and reframing beliefs. What beliefs are stopping you right now?You have a choice. You can create the world you want to live in, or live in a world created by others. If you are ready to start making changes, read this book."
Limiting Modes of Aircraft Flight: Methods, Algorithms and Results (Springer Aerospace Technology)
by Alexander Nikolaevich Akimov Vadim Vadimovich Vorobyov Dmitry Alexandrovich ZatuchnyThis book describes in detail a method of direct optimization, which makes it possible to choose the best trajectory of an aircraft in conditions of its limited resource. This can happen in the event of an emergency on board, associated with both a possible equipment failure and external influences, for example, when lightning strikes an aircraft or collides with a moving object. The highlight of this book is the fact that the results presented in it can be applied universally to the choice of the flight path of large and small aircraft, as well as helicopter technology. In addition, they take into account various conditions of aircraft flight, including a possible accident. The methods and algorithms presented here can be used as the basis for the creation of automatic collision avoidance systems, as well as the choice of the best aircraft trajectory for flights in different regions and in different conditions.
Limitless Analytics with Azure Synapse: An end-to-end analytics service for data processing, management, and ingestion for BI and ML requirements
by Prashant Kumar Mishra Mukesh KumarLeverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your dataKey FeaturesLearn to ingest, prepare, manage, and serve data for immediate business requirementsBring enterprise data warehousing and big data analytics together to gain insights from your dataDevelop end-to-end analytics solutions using Azure SynapseBook DescriptionAzure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform. The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features. By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks.What you will learnExplore the necessary considerations for data ingestion and orchestration while building analytical pipelinesUnderstand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflowsQuery data using various coding languages on Azure SynapseFocus on Synapse SQL and Synapse SparkManage and monitor resource utilization and query activity in Azure SynapseConnect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse StudioCreate and manage IP firewall rules in Azure SynapseWho this book is forThis book is for data engineers, IT professionals, business analysts, data scientists, and database administrators who are looking to get up and running with the Azure Synapse Analytics platform. Basic knowledge of data warehousing will be beneficial to help you understand the concepts covered in this book more effectively.
Limits of AI - theoretical, practical, ethical (Technik im Fokus)
by Klaus Mainzer Reinhard KahleArtificial intelligence is a key technology with great expectations in science, industry, and everyday life. This book discusses both the perspectives and the limitations of this technology. This concerns the practical, theoretical, and conceptual challenges that AI has to face. In an early phase of symbolic AI, AI focused on formal programs (e.g., expert systems), in which rule-based knowledge was processed with the help of symbolic logic. Today, AI is dominated by statistics-based machine learning methods and Big Data. While this sub-symbolic AI is extremely successful (e.g., chatbots like ChatGPT), it is often not transparent. The book argues for explainable and reliable AI, in which the logical and mathematical foundations of AI-algorithms become understandable and verifiable.
Limits of Computation
by Bernhard ReusThis textbook discusses the most fundamental and puzzling questions about the foundations of computing. In 23 lecture-sized chapters it provides an exciting tour through the most important results in the field of computability and time complexity, including the Halting Problem, Rice's Theorem, Kleene's Recursion Theorem, the Church-Turing Thesis, Hierarchy Theorems, and Cook-Levin's Theorem. Each chapter contains classroom-tested material, including examples and exercises. Links between adjacent chapters provide a coherent narrative. Fundamental results are explained lucidly by means of programs written in a simple, high-level imperative programming language, which only requires basic mathematical knowledge. Throughout the book, the impact of the presented results on the entire field of computer science is emphasised. Examples range from program analysis to networking, from database programming to popular games and puzzles. Numerous biographical footnotes about the famous scientists who developed the subject are also included. "Limits of Computation" offers a thorough, yet accessible, introduction to computability and complexity for the computer science student of the 21st century.
The Limits to Growth Revisited
by Ugo Bardi"The Limits to Growth" (Meadows, 1972) generated unprecedented controversy with its predictions of the eventual collapse of the world's economies. First hailed as a great advance in science, "The Limits to Growth" was subsequently rejected and demonized. However, with many national economies now at risk and global peak oil apparently a reality, the methods, scenarios, and predictions of "The Limits to Growth" are in great need of reappraisal. In The Limits to Growth Revisited, Ugo Bardi examines both the science and the polemics surrounding this work, and in particular the reactions of economists that marginalized its methods and conclusions for more than 30 years. "The Limits to Growth" was a milestone in attempts to model the future of our society, and it is vital today for both scientists and policy makers to understand its scientific basis, current relevance, and the social and political mechanisms that led to its rejection. Bardi also addresses the all-important question of whether the methods and approaches of "The Limits to Growth" can contribute to an understanding of what happened to the global economy in the Great Recession and where we are headed from there.
Line Graphs and Line Digraphs (Developments in Mathematics #68)
by Lowell W. Beineke Jay S. BaggaIn the present era dominated by computers, graph theory has come into its own as an area of mathematics, prominent for both its theory and its applications. One of the richest and most studied types of graph structures is that of the line graph, where the focus is more on the edges of a graph than on the vertices. A subject worthy of exploration in itself, line graphs are closely connected to other areas of mathematics and computer science. This book is unique in its extensive coverage of many areas of graph theory applicable to line graphs. The book has three parts. Part I covers line graphs and their properties, while Part II looks at features that apply specifically to directed graphs, and Part III presents generalizations and variations of both line graphs and line digraphs.Line Graphs and Line Digraphs is the first comprehensive monograph on the topic. With minimal prerequisites, the book is accessible to most mathematicians and computer scientists who have had an introduction graph theory, and will be a valuable reference for researchers working in graph theory and related fields.
The Linear Algebra a Beginning Graduate Student Ought to Know
by Jonathan S. GolanLinear algebra is a living, active branch of mathematics which is central to almost all other areas of mathematics, both pure and applied, as well as to computer science, to the physical, biological, and social sciences, and to engineering. It encompasses an extensive corpus of theoretical results as well as a large and rapidly-growing body of computational techniques. Unfortunately, in the past decade, the content of linear algebra courses required to complete an undergraduate degree in mathematics has been depleted to the extent that they fail to provide a sufficient theoretical or computational background. Students are not only less able to formulate or even follow mathematical proofs, they are also less able to understand the mathematics of the numerical algorithms they need for applications. Certainly, the material presented in the average undergraduate course is insufficient for graduate study. This book is intended to fill the gap which has developed by providing enough theoretical and computational material to allow the advanced undergraduate or beginning graduate student to overcome this deficiency and be able to work independently or in advanced courses. The book is intended to be used either as a self-study guide, a textbook for a course in advanced linear algebra, or as a reference book. It is also designed to prepare a student for the linear algebra portion of prelim exams or PhD qualifying exams. The volume is self-contained to the extent that it does not assume any previous formal knowledge of linear algebra, though the reader is assumed to have been exposed, at least informally, to some of the basic ideas and techniques, such as manipulation of small matrices and the solution of small systems of linear equations over the real numbers. More importantly, it assumes a seriousness of purpose, considerable motivation, and a modicum of mathematical sophistication on the part of the reader. In the latest edition, new major theorems have been added, as well as many new examples. There are over 130 additional exercises and many of the previous exercises have been revised or rewritten. In addition, a large number of additional biographical notes and thumbnail portraits of mathematicians have been included.
Linear Algebra and Analytic Geometry for Physical Sciences (Undergraduate Lecture Notes in Physics)
by Alessandro Zampini Giovanni LandiA self-contained introduction to finite dimensional vector spaces, matrices, systems of linear equations, spectral analysis on euclidean and hermitian spaces, affine euclidean geometry, quadratic forms and conic sections. The mathematical formalism is motivated and introduced by problems from physics, notably mechanics (including celestial) and electro-magnetism, with more than two hundreds examples and solved exercises.Topics include: The group of orthogonal transformations on euclidean spaces, in particular rotations, with Euler angles and angular velocity. The rigid body with its inertia matrix. The unitary group. Lie algebras and exponential map. The Dirac’s bra-ket formalism. Spectral theory for self-adjoint endomorphisms on euclidean and hermitian spaces. The Minkowski spacetime from special relativity and the Maxwell equations. Conic sections with the use of eccentricity and Keplerian motions. An appendix collects basic algebraic notions like group, ring and field; and complex numbers and integers modulo a prime number.The book will be useful to students taking a physics or engineer degree for a basic education as well as for students who wish to be competent in the subject and who may want to pursue a post-graduate qualification.
Linear Algebra and Optimization for Machine Learning: A Textbook
by Charu C. AggarwalThis textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout this text book together with access to a solution’s manual. This textbook targets graduate level students and professors in computer science, mathematics and data science. Advanced undergraduate students can also use this textbook. The chapters for this textbook are organized as follows:1. Linear algebra and its applications: The chapters focus on the basics of linear algebra together with their common applications to singular value decomposition, matrix factorization, similarity matrices (kernel methods), and graph analysis. Numerous machine learning applications have been used as examples, such as spectral clustering, kernel-based classification, and outlier detection. The tight integration of linear algebra methods with examples from machine learning differentiates this book from generic volumes on linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these concepts.2. Optimization and its applications: Much of machine learning is posed as an optimization problem in which we try to maximize the accuracy of regression and classification models. The “parent problem” of optimization-centric machine learning is least-squares regression. Interestingly, this problem arises in both linear algebra and optimization, and is one of the key connecting problems of the two fields. Least-squares regression is also the starting point for support vector machines, logistic regression, and recommender systems. Furthermore, the methods for dimensionality reduction and matrix factorization also require the development of optimization methods. A general view of optimization in computational graphs is discussed together with its applications to back propagation in neural networks. A frequent challenge faced by beginners in machine learning is the extensive background required in linear algebra and optimization. One problem is that the existing linear algebra and optimization courses are not specific to machine learning; therefore, one would typically have to complete more course material than is necessary to pick up machine learning. Furthermore, certain types of ideas and tricks from optimization and linear algebra recur more frequently in machine learning than other application-centric settings. Therefore, there is significant value in developing a view of linear algebra and optimization that is better suited to the specific perspective of machine learning.
Linear Algebra for Computational Sciences and Engineering
by Ferrante NeriThis book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory.It is structured to be accessible to everybody, from students of pure mathematics who are approaching algebra for the first time to researchers and graduate students in applied sciences who need a theoretical manual of algebra to successfully perform their research. Most importantly, this book is designed to be ideal for both theoretical and practical minds and to offer to both alternative and complementary perspectives to study and understand linear algebra.
Linear Algebra in Data Science (Compact Textbooks in Mathematics)
by Peter Zizler Roberta La HayeThis textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. The authors accomplish this by offering exercises that escalate in complexity, many of which incorporate MATLAB. Practice projects appear as well for students to better understand the real-world applications of the material covered in a standard linear algebra course. Some topics covered include singular value decomposition, convolution, frequency filtering, and neural networks. Linear Algebra in Data Science is suitable as a supplement to a standard linear algebra course.
Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version (Springer Undergraduate Texts in Mathematics and Technology)
by Øyvind RyanThis book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended.The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.
Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: MATLAB Version (Springer Undergraduate Texts in Mathematics and Technology)
by Øyvind RyanThis book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the MATLAB code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.