- Table View
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Kubernetes Cookbook
by Hideto Saito Ke-Jou Carol Hsu Hui-Chuan Chloe LeeLearn how to automate and manage your Linux containers and improve the overall performance of your system About This Book * Are you using containers in your organization and want to better manage, scale, and orchestrate apps on the container? Use the recipes in the book to find a reliable solution from experts * This is the first and only book on the market on Kubernetes, and it will show how to manage your containers in production using Kubernetes * Buy this book, simply follow the recipes, and you will be the master of your Linux containers Who This Book Is For The book is aimed at system administrators who have intermediate level of knowledge with Kubernetes and want to better manage their applications deployed over containers. Also, it will help those administrators who want to maintain and scale applications on these containers. What You Will Learn * Get to know how to build your own container cluster * Deploy and manage highly scalable applications using Kubernetes * Discover how to build high availability Kubernetes clusters * Find out how to build a continuous delivery pipeline for your application * Track metrics and logs for every container running in your cluster * Streamline the way you deploy and manage your applications with large-scale container orchestration In Detail Kubernetes is Google's solution to managing a cluster of containers. Kubernetes provides a declarative API to manage clusters while giving us a lot of flexibility. This book will provide you with recipes to better manage containers in different scenarios in production using Kubernetes. We will start by giving you a quick brush up on how Kubernetes works with containers along with an overview of the main Kubernetes features such as Pods, Replication Controllers, and more. Next, we will teach you how to create Kubernetes cluster and how to run programs on Kubernetes. We'll explain features such as High Availability Kubernetes master setup, using Kubernetes with Docker, and orchestration with Kubernetes using AWS. Later, will show you how to use Kubernetes-UI, and how to set up and manage Kubernetes clusters on the cloud and bare metal. Upon completion of this book, you will be able use Kubernetes in production and will have a better understanding of how to manage your containers using Kubernetes. Style and approach This recipe-based book precisely teaches you how to use Kubernetes in production and how to better manage your containers using Kubernetes.
Kubernetes Microservices with Docker
by Deepak VohraStart using Kubernetes in complex big data and enterprise applications, including Docker containers. Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes. Next, Kubernetes Microservices with Docker discusses using Kubernetes with all major groups of technologies such as relational databases, NoSQL databases, and in the Apache Hadoop ecosystem. The book concludes with using multi container pods and installing Kubernetes on a multi node cluster. What You Will Learn Install Kubernetes on a single node Set environment variables Create multi-container pods using Docker Use volumes Use Kubernetes with the Apache Hadoop ecosystem, NoSQL databases, and RDBMSs Install Kubernetes on a multi-node cluster Who This Book Is For Application developers including Apache Hadoop developers, database developers and NoSQL developers.
La guida non-ufficiale a Minecraft
by Loris Palmitesta Joshua Abbott*GUIDA NON UFFICIALE* In aggiunta all'acquisto di questo eBook potrete segnarvi al nostro programma gratuito in supplemento a questa guida.Copiando il link in basso avrete accesso a tutti gli ultimi update per tutte le app più popolari per videogiochi. Registrati gratuitamente dal link qui in basso: http://emailsignupform.subscribemenow.com/ Consigli Avanzati e Guida strategica. Questa è l'unica guida dettaglia e completa che troverete online. Disponibile subito per il download sul tuo cellulare, su qualunque lettore eBook o in formato cartaceo. Con il successo del mio migliaio di guide e strategie scritte ho deciso di compilare un'altra guida ottima sia per i veterani che per i nuovi giocatori. Questa guida dà consigli specifici su come avanzare nel gioco, sconfiggere i propri nemici, acquisire più monete e ricchezze e tanto altro ancora! Ecco cosa avrai quando acquisterai questa guida professionale avanzata e dettagliata di gioco. - Consigli e strategie da professionista. - Trucchi e Hacks. - Segreti, Consigli, Trucchi e Sbloccabili usati dai Pro Players! - Come ammucchiare tonnellare di monete/soldi. - MOLTO ALTRO ANCORA! Tutte le versioni di questa guida contengono degli screenshot per aiutarti a capire meglio il gioco.Non c'è un'altra guida così completa e dettagliata del gioco. Sarai felice di aver acquistato questa guida e ne trarrai subito grandi benefici se paragonati a quelli che avresti avuto con qualunque altra guida. Acquista adesso e sconfiggi i tuoi nemici! Diventa un Pro Player Adesso! Per supporto e più informazioni su i nostri prodotti perfavore visita il nostro sito: http://www.hiddenstuffentertainment.com/ Disclaimer: Questo prodotto non è associato, affiliato, sponsorizzato o certificato dal Possessore del Copyright Originale.Tutti i marchi e i marchi registrati che appaiono in questo ebook sono di proprietà dei loro rispettivi proprietari.
La sicurezza informatica è come il sesso sicuro: bisogna metterli in pratica per evitare le infezioni (Serie dei Computer #1)
by Richard G Lowe Jr Cristina PuppoProteggete il vostro computer, le vostre informazioni di valore e le foto senza dilapidare il budget o pagare un esperto. Che cosa succede se un paio di nuove abitudini riducono drasticamente le possibilità del sistema di essere infettato da un virus o attaccato da un hacker? Immaginate la navigazione sul web senza preoccuparvi del terrore delle frodi con la carta di credito o del furto di identità? E se fosse possibile tenere i cattivi alla larga con un paio di semplici applicazioni? Esperto di Sicurezza e Dirigente Informatico, Richard Lowe, propone i semplici passi da seguire per proteggere i vostri computer, foto e informazioni da malintenzionati e virus. Utilizzando esempi di facile comprensione e spiegazioni semplici, Lowe spiega perché agli hacker interessa il vostro computer, che cosa se ne fanno delle vostre informazioni e cosa dovete fare per tenerli a bada. Lowe risponde alla domanda: come restare al sicuro nel selvaggio west di internet. Cosa imparerete leggendo questo libro? * Cosa accidenti stanno tentando di fare gli hacker con il vostro computer e i vostri dati? * Come proteggere il vostro computer dai virus. * Il modo migliore per tenere i vostri account online al sicuro dagli hacker cattivi. * Come tenere i vostri dati e le foto al sicuro dai computer che si bloccano e dai disastri. * Come evitare che gli intrusi utilizzino la vostra rete wireless per violare il vostro computer. * Come proteggervi sulla rete Wi-Fi. del bar. * Come utilizzare in sicurezza il computer di un hotel o un computer pubblico. * Come costruire un firewall intorno al vostro computer per tenere fuori i malintenzionati. * Come proteggere il vostro computer dai virus utilizzando un antivirus. * Come rendere sicura la vostra rete domestica. * E molti, molti altri suggerimenti e tecniche per tenere i vostri dati, il vostro credito e la vostra vita al sicuro. Acquistate questo libro ADESSO prima che sia troppo tardi!
Langford's Basic Photography: The Guide for Serious Photographers
by Richard Sawdon Smith Anna FoxThis seminal photography text, now in its 10th edition and celebrating its 50th anniversary, has been revamped, reorganized, and modernized to include the most up-to-date, need to know information for photographers. Ideal for students, beginners, and advanced users wanting to brush up on the fundamentals of photography, this book is a must have for any photographer’s bookcase. The heart of this text, however, retains the same comprehensive mix of scholarly and practical information. The new edition has been fully updated to reflect dynamic changes in the industry. These changes include: an expansion and overhaul of the information on digital cameras and digital printing; an emphasis on updating photographs to include a wider range of international work; replacement of many diagrams with photos; overhaul of the analogue sections to give a more modern tone (ie exposure measurement and film and filters with some more dynamic photo illustrations).
Language and Automata Theory and Applications
by Adrian-Horia Dediu Jan Janoušek Carlos Martín-Vide Bianca TrutheThis book constitutes the refereed proceedings of the 10th InternationalConference on Language and Automata Theory and Applications, LATA 2016, held inPrague, Czech Republic, in March 2016. The 42 revised full papers presented together with 5 invited talks werecarefully reviewed and selected from 119 submissions. The papers cover thefollowing topics: algebraic language theory; algorithms for semi-structureddata mining, algorithms on automata and words; automata and logic; automata forsystem analysis and program verification; automata networks, concurrency andPetri nets; automatic structures; cellular automata, codes, combinatorics onwords; computational complexity; data and image compression; descriptionalcomplexity; digital libraries and document engineering; foundations of finitestate technology; foundations of XML; fuzzy and rough languages; grammaticalinference and algorithmic learning; graphs and graph transformation; languagevarieties and semigroups; parallel and regulated rewriting; parsing; patterns;string and combinatorial issues in computational biology and bioinformatics;string processing algorithms; symbolic dynamics; term rewriting; transducers;trees, tree languages and tree automata; weighted automata.
Language in Complexity
by Francesco La Mantia Ignazio Licata Pietro PercontiThis contributed volume explores the achievements gained and the remaining puzzling questions by applying dynamical systems theory to the linguistic inquiry. In particular, the book is divided into three parts, each one addressing one of the following topics: 1) Facing complexity in the right way: mathematics and complexity 2) Complexity and theory of language 3) From empirical observation to formal models: investigation of specific linguistic phenomena, like enunciation, deixis, or the meaning of the metaphorical phrases The application of complexity theory to describe cognitive phenomena is a recent and very promising trend in cognitive science. At the time when dynamical approaches triggered a paradigm shift in cognitive science some decade ago, the major topic of research were the challenges imposed by classical computational approaches dealing with the explanation of cognitive phenomena like consciousness, decision making and language. The target audience primarily comprises researchers and experts in the field but the book may also be beneficial for graduate and post-graduate students who want to enter the field.
Languages and Compilers for Parallel Computing
by Xipeng Shen Frank Mueller James TuckThisbook constitutes the thoroughly refereed post-conference proceedings of the 28thInternational Workshop on Languages and Compilers for Parallel Computing, LCPC2015, held in Raleigh, NC, USA, in September 2015. The19 revised full papers were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on programming models, optimizingframework, parallelizing compiler, communication and locality, parallelapplications and data structures, and correctness and reliability.
Languages, Design Methods, and Tools for Electronic System Design
by Rolf Drechsler Robert WilleThisbook brings together a selection of the best papers from the eighteenth editionof the Forum on specification and Design Languages Conference (FDL), which tookplace on September 14-16, 2015, in Barcelona, Spain. FDL is a well-established international forumdevoted to dissemination of research results, practical experiences and newideas in the application of specification, design and verification languages tothe design, modeling and verification of integrated circuits, complexhardware/software embedded systems, and mixed-technology systems.
Languages, Design Methods, and Tools for Electronic System Design
by Julio Luis Medina Pasaje Frank OppenheimerThis book brings together a selection of the best papers from the seventeenth edition of the Forum on specification and Design Languages Conference (FDL), which took place on October 14-16, 2014, in Munich, Germany. FDL is a well-established international forum devoted to dissemination of research results, practical experiences and new ideas in the application of specification, design and verification languages to the design, modeling and verification of integrated circuits, complex hardware/software embedded systems, and mixed-technology systems.
Laravel: A Framework for Building Modern PHP Apps
by Matt StaufferWhat sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its vast ecosystem of tools let you quickly build new sites and applications with clean, readable code. With this practical guide, Matt Stauffer--a leading teacher and developer in the Laravel community--provides the definitive introduction to one of today's most popular web frameworks.The book's high-level overview and concrete examples will help experienced PHP web developers get started with Laravel right away. By the time you reach the last page, you should feel comfortable writing an entire application in Laravel from scratch.Dive into several features of this framework, including:Blade, Laravel's powerful, custom templating toolTools for gathering, validating, normalizing, and filtering user-provided dataLaravel's Eloquent ORM for working with the application's databasesThe Illuminate request object, and its role in the application lifecyclePHPUnit, Mockery, and PHPSpec for testing your PHP codeLaravel's tools for writing JSON and RESTful APIsInterfaces for file system access, sessions, cookies, caches, and searchTools for implementing queues, jobs, events, and WebSocket event publishingLaravel's specialty packages: Scout, Passport, Cashier, Echo, Elixir, Valet, and Socialite
Laravel: A Framework for Building Modern PHP Apps
by Matt StaufferWhat sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its vast ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to cover Laravel 5.8, the latest release, the second edition of this practical guide provides the definitive introduction to one of today’s most popular web frameworks.Matt Stauffer—a leading teacher and developer in the Laravel community—delivers a high-level overview and concrete examples to help experienced PHP web developers get started with Laravel right away. By the time you reach the last page, you should feel comfortable writing an entire application in Laravel from scratch.
Laravel 5.x Cookbook
by Alfred NutileA recipe-based book to help you efficiently create amazing PHP-based applications with Laravel 5.x About This Book * Leverage the amazing new features of Laravel 5.x to create cutting-edge responsive PHP applications. * Create apps with interoperability features and extend these features to your existing applications as well. * Over 60 recipes that combine tried and tested Laravel tips for getting your app working. Who This Book Is For The ideal target audience for this book is PHP developers who have some basic PHP programming knowledge. No previous experience with Laravel is required for this book. What You Will Learn * Optimize Your Gulp and Elixir Workflow * Use Travis to run tests with every push * Build and test your view-based route in PHPUnit * Explore workflows for migrations and seeding * Implement Angular in your Laravel applications * Set up a user authentication system * Integrate the new Billing library and Stripe in your Laravel application * Use the Artisan command-line tool * Test your App in Production with Behat In Detail Laravel is a prominent member of a new generation of web frameworks. It is one of the most popular PHP frameworks and is also free and an open source. Laravel 5 is a substantial upgrade with a lot of new toys, at the same time retaining the features that made Laravel wildly successful. It comes with plenty of architectural as well as design-based changes. The book is a blend of numerous recipes that will give you all the necessary tips you need to build an application. It starts with basic installation and configuration tasks and will get you up-and-running in no time. You will learn to create and customize your PHP app and tweak and re-design your existing apps for better performance. You will learn to implement practical recipes to utilize Laravel's modular structure, the latest method injection, route caching, and interfacing techniques to create responsive modern-day PHP apps that stand on their own against other apps. Efficient testing and deploying techniques will make you more confident with your Laravel skills as you move ahead with this book. Towards the end of the book, you will understand a number of add-ons and new features essential to finalize your application to make it ready for subscriptions. You will be empowered to get your application out to the world. Style and approach This book will have a practical recipe-based approach with dedicated recipes on your daily Laravel tasks (as well as on more advanced issues) that will help you become a pro with Laravel 5.x
Large-Scale Graph Processing Using Apache Giraph
by Sherif Sakr Faisal Moeen Orakzai Ibrahim Abdelaziz Zuhair KhayyatThis book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-step self-study guide for everyone interested in large-scale graph processing, it describes the fundamental abstractions of the system, its programming models and various techniques for using the system to process graph data at scale, including the implementation of several popular and advanced graph analytics algorithms. The book is organized as follows: Chapter 1 starts by providing a general background of the big data phenomenon and a general introduction to the Apache Giraph system, its abstraction, programming model and design architecture. Next, chapter 2 focuses on Giraph as a platform and how to use it. Based on a sample job, even more advanced topics like monitoring the Giraph application lifecycle and different methods for monitoring Giraph jobs are explained. Chapter 3 then provides an introduction to Giraph programming, introduces the basic Giraph graph model and explains how to write Giraph programs. In turn, Chapter 4 discusses in detail the implementation of some popular graph algorithms including PageRank, connected components, shortest paths and triangle closing. Chapter 5 focuses on advanced Giraph programming, discussing common Giraph algorithmic optimizations, tunable Giraph configurations that determine the system's utilization of the underlying resources, and how to write a custom graph input and output format. Lastly, chapter 6 highlights two systems that have been introduced to tackle the challenge of large scale graph processing, GraphX and GraphLab, and explains the main commonalities and differences between these systems and Apache Giraph. This book serves as an essential reference guide for students, researchers and practitioners in the domain of large scale graph processing. It offers step-by-step guidance, with several code examples and the complete source code available in the related github repository. Students will find a comprehensive introduction to and hands-on practice with tackling large scale graph processing problems using the Apache Giraph system, while researchers will discover thorough coverage of the emerging and ongoing advancements in big graph processing systems.
Large Scale Machine Learning with Python
by Luca Massaron Alberto Boschetti Bastiaan SjardinLearn to build powerful machine learning models quickly and deploy large-scale predictive applications About This Book * Design, engineer and deploy scalable machine learning solutions with the power of Python * Take command of Hadoop and Spark with Python for effective machine learning on a map reduce framework * Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This book is for anyone who intends to work with large and complex data sets. Familiarity with basic Python and machine learning concepts is recommended. Working knowledge in statistics and computational mathematics would also be helpful. What You Will Learn * Apply the most scalable machine learning algorithms * Work with modern state-of-the-art large-scale machine learning techniques * Increase predictive accuracy with deep learning and scalable data-handling techniques * Improve your work by combining the MapReduce framework with Spark * Build powerful ensembles at scale * Use data streams to train linear and non-linear predictive models from extremely large datasets using a single machine In Detail Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need. Data scientists have to manage and maintain increasingly complex data projects, and with the rise of big data comes an increasing demand for computational and algorithmic efficiency. Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy. Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python. Style and approach This efficient and practical title is stuffed full of the techniques, tips and tools you need to ensure your large scale Python machine learning runs swiftly and seamlessly. Large-scale machine learning tackles a different issue to what is currently on the market. Those working with Hadoop clusters and in data intensive environments can now learn effective ways of building powerful machine learning models from prototype to production. This book is written in a style that programmers from other languages (R, Julia, Java, Matlab) can follow.
Large Scale Machine Learning with Spark
by Md. Mahedi Kaysar Md. Rezaul KarimDiscover everything you need to build robust machine learning applications with Spark 2.0 About This Book * Get the most up-to-date book on the market that focuses on design, engineering, and scalable solutions in machine learning with Spark 2.0.0 * Use Spark's machine learning library in a big data environment * You will learn how to develop high-value applications at scale with ease and a develop a personalized design Who This Book Is For This book is for data science engineers and scientists who work with large and complex data sets. You should be familiar with the basics of machine learning concepts, statistics, and computational mathematics. Knowledge of Scala and Java is advisable. What You Will Learn * Get solid theoretical understandings of ML algorithms * Configure Spark on cluster and cloud infrastructure to develop applications using Scala, Java, Python, and R * Scale up ML applications on large cluster or cloud infrastructures * Use Spark ML and MLlib to develop ML pipelines with recommendation system, classification, regression, clustering, sentiment analysis, and dimensionality reduction * Handle large texts for developing ML applications with strong focus on feature engineering * Use Spark Streaming to develop ML applications for real-time streaming * Tune ML models with cross-validation, hyperparameters tuning and train split * Enhance ML models to make them adaptable for new data in dynamic and incremental environments In Detail Data processing, implementing related algorithms, tuning, scaling up and finally deploying are some crucial steps in the process of optimising any application. Spark is capable of handling large-scale batch and streaming data to figure out when to cache data in memory and processing them up to 100 times faster than Hadoop-based MapReduce. This means predictive analytics can be applied to streaming and batch to develop complete machine learning (ML) applications a lot quicker, making Spark an ideal candidate for large data-intensive applications. This book focuses on design engineering and scalable solutions using ML with Spark. First, you will learn how to install Spark with all new features from the latest Spark 2.0 release. Moving on, you'll explore important concepts such as advanced feature engineering with RDD and Datasets. After studying developing and deploying applications, you will see how to use external libraries with Spark. In summary, you will be able to develop complete and personalised ML applications from data collections,model building, tuning, and scaling up to deploying on a cluster or the cloud. Style and approach This book takes a practical approach where all the topics explained are demonstrated with the help of real-world use cases.
Large-Scale Visual Geo-Localization
by Amir R. Zamir Asaad Hakeem Luc Van Gool Mubarak Shah Richard SzeliskiThistimely and authoritative volume explores the bidirectional relationship betweenimages and locations. The text presents a comprehensive review of the state ofthe art in large-scale visual geo-localization, and discusses the emergingtrends in this area. Valuable insights are supplied by a pre-eminent selectionof experts in the field, into a varied range of real-world applications ofgeo-localization. Topics and features: discusses the latest methods to exploitinternet-scale image databases for devising geographically rich features andgeo-localizing query images at different scales; investigates geo-localizationtechniques that are built upon high-level and semantic cues; describes methodsthat perform precise localization by geometrically aligning the query imageagainst a 3D model; reviews techniques that accomplish image understandingassisted by the geo-location, as well as several approaches for geo-localizationunder practical, real-world settings.
LaTeX in 24 Hours
by Dilip DattaThis book presents direct and concise explanations and examples to many LaTeX syntax and structures, allowing students and researchers to quickly understand the basics that are required for writing and preparing book manuscripts, journal articles, reports, presentation slides and academic theses and dissertations for publication. Unlike most literature and guides currently available on LaTeX, which takes a more technical stance, focusing on the details of the software itself, the author presents this user-focused guide that is concerned with its application to everyday tasks and scenarios, which is packed with exercises and looks at topics like formatting text, drawing and inserting tables and figures, bibliographies and indexes, equations, slides, and provides valuable explanations to error and warning messages so you can get work done with the least time and effort needed. This means LaTeX in 24 Hours can be used by students and researchers with little or no previous experience with LaTeX to gain quick and noticeable results, as well as being used as a quick reference guide for those more experienced who want to refresh their knowledge on the subject.
LATIN 2016: Theoretical Informatics
by Evangelos Kranakis Gonzalo Navarro Edgar ChávezThis book constitutes therefereed proceedings of the 12th Latin American Symposium on TheoreticalInformatics, LATIN 2016, held in Ensenada, Mexico, in April 2016. The 52 papers presentedtogether with 5 abstracts were carefully reviewed and selected from 131submissions. The papers address a variety of topics in theoretical computerscience with a certain focus on algorithms (approximation, online,randomized, algorithmic game theory, etc. ), analytic combinatorics and analysisof algorithms, automata theory and formal languages, coding theory and datacompression, combinatorial algorithms, combinatorial optimization,combinatorics and graph theory, complexity theory, computational algebra,computational biology, computational geometry, computational number theory,cryptology, databases and information retrieval, data structures, formalmethods and security, Internet and the web, parallel and distributed computing,pattern matching, programming language theory, and random structures.
Leading and Managing Innovation: What Every Executive Team Must Know about Project, Program, and Portfolio Management, Second Edition (Best Practices in Portfolio, Program, and Project Management #22)
by Russell D. Archibald Shane ArchibaldThe primary cause of many project failures is that responsible executives, because of their lack of knowledge in project management, fail to demand that their managers and staff properly utilize the well-proven best practices, processes, systems, and tools that are now available in this field. This book remedies this situation by providing executives at all levels with the understanding and knowledge needed to best take advantage of the power of effective project management and thereby lead and manage innovations within their enterprise. In Leading and Managing Innovation: What Every Executive Team Must Know about Project, Program, and Portfolio Management, Second Edition, the authors present concise descriptions of The key concepts underlying project and program management The important characteristics of projects and programs How projects and programs are best governed and managed How to determine if the desired benefits have actually been achieved The book presents a list of 31 reasonable demands that executives can and must place on their staff members to ensure excellence in the way their programs and projects are created, selected for funding, planned, and executed. Placing these demands communicates to the entire enterprise that top management understands what it takes to achieve the best performance possible and fully supports the continuous improvement needed to ensure continued success. Leading and Managing Innovation explains how to measure the project management maturity level of an enterprise, benchmark against competitors, and identify where project management improvements are required. It discusses the many ways that an enterprise can derive substantial success and competitive advantage from increasing its project management maturity level. A helpful quick reference summary of all of the book’s key information is included in the final chapter. Armed with this information, you will be well-qualified to give excellent direction to your managers and staff to ensure that your vital capability in the field of project management—and how you manage innovation—is equal to or better than that of your competitors.
Lean Computing for the Cloud
by Eric BauerApplies lean manufacturing principles across the cloud service delivery chain to enable application and infrastructure service providers to sustainably achieve the shortest lead time, best quality, and value <p><p> Applies lean thinking across the cloud service delivery chain to recognize and minimize waste <p> Leverages lessons learned from electric power industry operations to operations of cloud infrastructure <p> Applies insights from just-in-time inventory management to operation of cloud based applications <p> Explains how traditional, Information Technology Infrastructure Library (ITIL) and Enhanced Telecom Operation Map (eTOM) capacity management evolves to lean computing for the cloud
The Lean IT Field Guide: A Roadmap for Your Transformation
by Michael A. Orzen Thomas A. PaiderHow many IT books have you read that are long on theory and short on practical application? They are interesting, but not very impactful. They provide a framework from which to think and understand, but lack a process from which to act. Addressing this urgent need for the IT community, The Lean IT Field Guide explains how to initiate, execute, and sustain a lean IT transformation.Illuminating a clear path to lean IT, the authors integrate more than two decades of combined experience to provide you with a proven method for creating and sustaining a true lean IT workplace. This field guide not only highlights the organizational techniques of more agile and lean processes, but also the leadership work required to help management adopt these new approaches.Based on proven methods from different industries, including banking, manufacturing, insurance, food and beverage, and logistics, the book details a clear model that covers all the components you need to achieve and sustain a favorable work environment and culture in support of lean IT.Filled with anecdotes and case studies from actual businesses, the book includes pictures, templates, and examples that illustrate the application of the lean methods discussed.
Lean Python
by Paul GerrardLearn only the essential aspects of Python without cluttering up your mind with features you may never use. This compact book is not a "best way to write code" type of book; rather, the author goes over his most-used functions, which are all you need to know as a beginner and some way beyond. Lean Python takes 58 Python methods and functions and whittles them down to 15: as author Paul Gerrard says, "I haven't found a need for the rest. " What You'll Learn Discover lean Python and how to learn just enough to build useful tools Use Python objects, program structure, I/O, modules and more Handle errors and exceptions Test your code Access the Web; do searching; and persist data Who This Book Is For This book is aimed at three categories of reader: The experienced programmer - if you already know a programming language, this book gives you a shortcut to understanding the Python language and some of its design philosophy. You work in IT and need a programming primer - you might be a tester who needs to have more informed technical discussions with programmers. Working through the examples will help you to appreciate the challenge of good programming. First-timer - you want a first book on programming that you can assimilate quickly to help you decide whether programming is for you.
Lean UX: Designing Great Products with Agile Teams
by Josh Seiden Jeff GothelfUX design has traditionally been deliverables-based. Wireframes, site maps, flow diagrams, content inventories, taxonomies, mockups helped define the practice in its infancy.Over time, however, this deliverables-heavy process has put UX designers in the deliverables business. Many are now measured and compensated for the depth and breadth of their deliverables instead of the quality and success of the experiences they design. Designers have become documentation subject matter experts, known for the quality of the documents they create instead of the end-state experiences being designed and developed.So what's to be done? This practical book provides a roadmap and set of practices and principles that will help you keep your focus on the the experience back, rather than the deliverables.Get a tactical understanding of how to successfully integrate Lean and UX/DesignFind new material on business modeling and outcomes to help teams work more strategicallyDelve into the new chapter on experiment designTake advantage of updated examples and case studies
Leap Motion for Developers
by Abhishek NandyDevelop apps and games using the Leap Motion sensor. This book starts with a brief introduction to Leap Motion, then covers getting the Leap Motion working and setting up a Leap Motion development environment. Leap Motion for Developers also covers the life cycle of how you interact with Leap Motion and the workflow of making a complete app. You'll see how to use different programming languages for simple and steady development. The next part of the book walks through the basics of Leap Motion with Python and Java. We will then work on using Leap Motion with Unity, where we will build an app using Unity and then add different functionality to it. In the last part we cover Unreal 4, Processing, and JavaScript for Leap Motion. What You Will Learn Look at the basics of Leap Motion Develop apps for the Leap Motion sensor See how different languages work with Leap Motion Discover the future of Leap Motion Who This Book Is For Students, developers, game developers, and tech enthusiasts.