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Algorithms: Algorithms_4
by , Kevin Wayne

Language

English

Pages

952

Publication Date

February 21, 2011

Product Description
Customer Reviews
<P>This is the eBook version of the printed book.</P><B> <P style="MARGIN: 0px">Essential Information about Algorithms and Data Structures</P> <P style="MARGIN: 0px"></B> </P><I> <P style="MARGIN: 0px">A Classic Reference</P> <P style="MARGIN: 0px"></I>The latest version of Sedgewick’s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. </P> <P style="MARGIN: 0px"> </P><I> <P style="MARGIN: 0px">Broad Coverage</P> <P style="MARGIN: 0px"></I>Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should know.</P> <P style="MARGIN: 0px"> </P><I> <P style="MARGIN: 0px">Completely Revised Code</P> <P style="MARGIN: 0px"></I>New Java implementations written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.</P> <P style="MARGIN: 0px"> </P><I> <P style="MARGIN: 0px">Engages with Applications</P> <P style="MARGIN: 0px"></I>Algorithms are studied in the context of important scientific, engineering, and commercial applications. Clients and algorithms are expressed in real code, not the pseudo-code found in many other books.</P> <P style="MARGIN: 0px"> </P><I> <P style="MARGIN: 0px">Intellectually Stimulating</P> <P style="MARGIN: 0px"></I>Engages reader interest with clear, concise text, detailed examples with visuals, carefully crafted code, historical and scientific context, and exercises at all levels.</P> <P style="MARGIN: 0px"> </P><I> <P style="MARGIN: 0px">A Scientific Approach</P> <P style="MARGIN: 0px"></I>Develops precise statements about performance, supported by appropriate mathematical models and empirical studies validating those models.</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px"><B>Contents</B></P> <P style="MARGIN: 0px">Chapter 1: Fundamentals</P> <P style="MARGIN: 0px">Programming Model</P> <P style="MARGIN: 0px">Data Abstraction</P> <P style="MARGIN: 0px">Bags, Stacks, and Queues</P> <P style="MARGIN: 0px">Analysis of Algorithms</P> <P style="MARGIN: 0px">Case Study: Union-Find</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Chapter 2: Sorting</P> <P style="MARGIN: 0px">Elementary Sorts</P> <P style="MARGIN: 0px">Mergesort</P> <P style="MARGIN: 0px">Quicksort</P> <P style="MARGIN: 0px">Priority Queues</P> <P style="MARGIN: 0px">Applications</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Chapter 3: Searching</P> <P style="MARGIN: 0px">Symbol Tables</P> <P style="MARGIN: 0px">Binary Search Trees</P> <P style="MARGIN: 0px">Balanced Search Trees</P> <P style="MARGIN: 0px">Hash Tables</P> <P style="MARGIN: 0px">Applications</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Chapter 4: Graphs</P> <P style="MARGIN: 0px">Undirected Graphs</P> <P style="MARGIN: 0px">Directed Graphs</P> <P style="MARGIN: 0px">Minimum Spanning Trees</P> <P style="MARGIN: 0px">Shortest Paths</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Chapter 5: Strings</P> <P style="MARGIN: 0px">String Sorts</P> <P style="MARGIN: 0px">Tries</P> <P style="MARGIN: 0px">Substring Search</P> <P style="MARGIN: 0px">Regular Expressions</P> <P style="MARGIN: 0px">Data Compression</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Chapter 6: Context</P>
Site Reliability Engineering: How Google Runs Production Systems
by , Jennifer Petoff

Language

English

Pages

552

Publication Date

March 23, 2016

Product Description
Customer Reviews
<div><p>The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?</p><p>In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization.</p><p>This book is divided into four sections:</p><ul><li><b>Introduction</b>—Learn what site reliability engineering is and why it differs from conventional IT industry practices</li><li><b>Principles</b>—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE)</li><li><b>Practices</b>—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems</li><li><b>Management</b>—Explore Google's best practices for training, communication, and meetings that your organization can use</li></ul></div>
Domain-Driven Design: Tackling Complexity in the Heart of Softwar...
by Eric Evans

Language

English

Pages

563

Publication Date

August 22, 2003

Product Description
Customer Reviews
<P style="MARGIN: 0px"> <B> <I>Domain-Driven Design</I> </B> fills that need. This is not a book about specific technologies. It offers readers a systematic approach to domain-driven design, presenting an extensive set of design best practices, experience-based techniques, and fundamental principles that facilitate the development of software projects facing complex domains. Intertwining design and development practice, this book incorporates numerous examples based on actual projects to illustrate the application of domain-driven design to real-world software development.</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Readers learn how to use a domain model to make a complex development effort more focused and dynamic. A core of best practices and standard patterns provides a common language for the development team. A shift in emphasis–refactoring not just the code but the model underlying the code–in combination with the frequent iterations of Agile development leads to deeper insight into domains and enhanced communication between domain expert and programmer. <B> <I>Domain-Driven Design</I> </B> then builds on this foundation, and addresses modeling and design for complex systems and larger organizations.Specific topics covered include:</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">With this book in hand, object-oriented developers, system analysts, and designers will have the guidance they need to organize and focus their work, create rich and useful domain models, and leverage those models into quality, long-lasting software implementations.</P>
Python (2nd Edition): Learn Python in One Day and Learn It Well. ...
by , Jamie Chan

Language

English

Pages

174

Publication Date

May 10, 2017

Product Description
Customer Reviews
<h2>(2nd Edition: Covers Object Oriented Programming) Learn Python Fast and Learn It Well. Master Python Programming with a unique Hands-On Project</h2><br /><br />Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning the Python language fast?<br /><br />This book is for you. You no longer have to waste your time and money learning Python from lengthy books, expensive online courses or complicated Python tutorials. <br /><br /><h2>What this book offers...</h2><br /><b>Python for Beginners</b><br /><br />Complex concepts are broken down into simple steps to ensure that you can easily master the Python language <b>even if you have never coded before</b>.<br /><br /><b>Carefully Chosen Python Examples</b><br /><br />Examples are carefully chosen to illustrate all concepts. In addition, the output for all examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.<br /><br /><b>Careful selection of topics</b><br /><br />Topics are carefully selected to give you a broad exposure to Python, while not overwhelming you with information overload. These topics include object-oriented programming concepts, error handling techniques, file handling techniques and more.<br /><br /><b>Learn The Python Programming Language Fast</b><br /><br />Concepts are presented in a "to-the-point" style to cater to the busy individual. With this book, you can learn Python in just one day and start coding immediately. <br /><br /><h2>How is this book different...</h2><br />The best way to learn Python is by doing. This book includes a complete project at the end of the book that requires the application of all the concepts taught previously. Working through the project will not only give you an immense sense of achievement, it"ll also help you retain the knowledge and master the language.<br /><br />Are you ready to dip your toes into the exciting world of Python coding? This book is for you. <br /><br />With the first edition of this book being a <b>#1 best-selling programming ebook on Amazon for more than a year</b>, you can rest assured that this new and improved edition is the perfect book for you to learn the Python programming language fast.<br /><br />Click the BUY button and download it now.<br /><br /><h2>What you'll learn:</h2><br />- What is Python?<br />- What software you need to code and run Python programs?<br />- What are variables?<br />- What are the common data types in Python?<br />- What are Lists and Tuples?<br />- How to format strings<br />- How to accept user inputs and display outputs<br />- How to control the flow of program with loops<br />- How to handle errors and exceptions<br />- What are functions and modules?<br />- How to define your own functions and modules<br />- How to work with external files<br />- What are objects and classes<br />- How to write your own class<br />- What is inheritance<br />- What are properties<br />- What is name mangling<br /><br />.. and more...<br /><br />Finally, you'll be guided through a hands-on project that requires the application of all the topics covered.<br /><br />Click the BUY button and download the book now to start learning Python. Learn it fast and learn it well.<br /><br />Tags:<br />------------<br />Python, Object-oriented Python, Python course, Python book, learning Python, Python language, Python examples, Python tutorials, Python programming language, Python coding, Python programming for beginners, Python for Dummies
Kubernetes: Up and Running: Dive into the Future of Infrastructur...
by , Joe Beda

Language

English

Pages

202

Publication Date

September 07, 2017

Product Description
Customer Reviews
<div><p>Legend has it that Google deploys over two billion application containers a week. How’s that possible? Google revealed the secret through a project called Kubernetes, an open source cluster orchestrator (based on its internal Borg system) that radically simplifies the task of building, deploying, and maintaining scalable distributed systems in the cloud. This practical guide shows you how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.</p><p>Authors Kelsey Hightower, Brendan Burns, and Joe Beda—who’ve worked on Kubernetes at Google and other organizatons—explain how this system fits into the lifecycle of a distributed application. You will learn how to use tools and APIs to automate scalable distributed systems, whether it is for online services, machine-learning applications, or a cluster of Raspberry Pi computers.</p><ul><li>Explore the distributed system challenges that Kubernetes addresses</li><li>Dive into containerized application development, using containers such as Docker</li><li>Create and run containers on Kubernetes, using the docker image format and container runtime</li><li>Explore specialized objects essential for running applications in production</li><li>Reliably roll out new software versions without downtime or errors</li><li>Get examples of how to develop and deploy real-world applications in Kubernetes</li></ul></div>
Management Information Systems
by James O'Brien

Language

English

Pages

712

Publication Date

October 22, 2010

Product Description
Customer Reviews
Overview: The benchmark text for the syllabus organized by technology (a week on databases, a week on networks, a week on systems development, etc.) taught from a managerial perspective. O’Brien defines technology and then explains how companies use the technology to improve performance. Real world cases finalize the explanation.
Design It!: From Programmer to Software Architect (The Pragmatic ...
by Michael Keeling

Language

English

Pages

360

Publication Date

October 18, 2017

Product Description
Customer Reviews
<p>Don't engineer by coincidence-design it like you mean it! Filled with practical techniques, <i>Design It!</i> is the perfect introduction to software architecture for programmers who are ready to grow their design skills. Lead your team as a software architect, ask the right stakeholders the right questions, explore design options, and help your team implement a system that promotes the right -ilities. Share your design decisions, facilitate collaborative design workshops that are fast, effective, and fun-and develop more awesome software!<br /><br />With dozens of design methods, examples, and practical know-how, <i>Design It!</i> shows you how to become a software architect. Walk through the core concepts every architect must know, discover how to apply them, and learn a variety of skills that will make you a better programmer, leader, and designer. <br /><br />Uncover the big ideas behind software architecture and gain confidence working on projects big and small. Plan, design, implement, and evaluate software architectures and collaborate with your team, stakeholders, and other architects. Identify the right stakeholders and understand their needs, dig for architecturally significant requirements, write amazing quality attribute scenarios, and make confident decisions. Choose technologies based on their architectural impact, facilitate architecture-centric design workshops, and evaluate architectures using lightweight, effective methods. Write lean architecture descriptions people love to read. Run an architecture design studio, implement the architecture you've designed, and grow your team's architectural knowledge. Good design requires good communication. Talk about your software architecture with stakeholders using whiteboards, documents, and code, and apply architecture-focused design methods in your day-to-day practice. <br /><br />Hands-on exercises, real-world scenarios, and practical team-based decision-making tools will get everyone on board and give you the experience you need to become a confident software architect.</p>
The Elements of Computing Systems: Building a Modern Computer fro...
by , Shimon Schocken

Language

English

Pages

341

Publication Date

January 25, 2008

Product Description
Customer Reviews
In the early days of computer science, the interactions of hardware, software, compilers, and operating system were simple enough to allow students to see an overall picture of how computers worked. With the increasing complexity of computer technology and the resulting specialization of knowledge, such clarity is often lost. Unlike other texts that cover only one aspect of the field, <I>The Elements of Computing Systems</I> gives students an integrated and rigorous picture of applied computer science, as its comes to play in the construction of a simple yet powerful computer system.</P><P>Indeed, the best way to understand how computers work is to build one from scratch, and this textbook leads students through twelve chapters and projects that gradually build a basic hardware platform and a modern software hierarchy from the ground up. In the process, the students gain hands-on knowledge of hardware architecture, operating systems, programming languages, compilers, data structures, algorithms, and software engineering. Using this constructive approach, the book exposes a significant body of computer science knowledge and demonstrates how theoretical and applied techniques taught in other courses fit into the overall picture.</P><P>Designed to support one- or two-semester courses, the book is based on an abstraction-implementation paradigm; each chapter presents a key hardware or software abstraction, a proposed implementation that makes it concrete, and an actual project. The emerging computer system can be built by following the chapters, although this is only one option, since the projects are self-contained and can be done or skipped in any order. All the computer science knowledge necessary for completing the projects is embedded in the book, the only pre-requisite being a programming experience.</P><P>The book's web site provides all tools and materials necessary to build all the hardware and software systems described in the text, including two hundred test programs for the twelve projects. The projects and systems can be modified to meet various teaching needs, and all the supplied software is open-source.</P>
Software Requirements (Developer Best Practices)
by , Joy Beatty

Language

English

Pages

672

Publication Date

August 15, 2013

Product Description
Customer Reviews
<p>Now in its third edition, this classic guide to software requirements engineering has been fully updated with new topics, examples, and guidance. Two leaders in the requirements community have teamed up to deliver a contemporary set of practices covering the full range of requirements development and management activities on software projects.</p> <ul> <li>Describes practical, effective, field-tested techniques for managing the requirements engineering process from end to end.</li> <li>Provides examples demonstrating how requirements "good practices" can lead to fewer change requests, higher customer satisfaction, and lower development costs.</li> <li>Fully updated with contemporary examples and many new practices and techniques.</li> <li>Describes how to apply effective requirements practices to agile projects and numerous other special project situations.</li> <li>Targeted to business analysts, developers, project managers, and other software project stakeholders who have a general understanding of the software development process.</li> <li>Shares the insights gleaned from the authors’ extensive experience delivering hundreds of software-requirements training courses, presentations, and webinars.</li> </ul> <p> New chapters are included on specifying data requirements, writing high-quality functional requirements, and requirements reuse. Considerable depth has been added on business requirements, elicitation techniques, and nonfunctional requirements. In addition, new chapters recommend effective requirements practices for various special project situations, including enhancement and replacement, packaged solutions, outsourced, business process automation, analytics and reporting, and embedded and other real-time systems projects.
Cloud Native Architectures: Design high-availability and cost-eff...
by , Piyum Zonooz

Language

English

Pages

358

Publication Date

August 31, 2018

Product Description
Customer Reviews
<p><b>Learn and understand the need to architect cloud applications and migrate your business to cloud efficiently</b></p><h4>Key Features</h4><ul><li>Understand the core design elements required to build scalable systems</li><li>Plan resources and technology stacks effectively for high security and fault tolerance</li><li>Explore core architectural principles using real-world examples</li></ul><h4>Book Description</h4><p>Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. To harness this, businesses need to refresh their development models and architectures when they find they don’t port to the cloud. Cloud Native Architectures demonstrates three essential components of deploying modern cloud native architectures: organizational transformation, deployment modernization, and cloud native architecture patterns.</p><p>This book starts with a quick introduction to cloud native architectures that are used as a base to define and explain what cloud native architecture is and is not. You will learn what a cloud adoption framework looks like and develop cloud native architectures using microservices and serverless computing as design principles. You’ll then explore the major pillars of cloud native design including scalability, cost optimization, security, and ways to achieve operational excellence. In the concluding chapters, you will also learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform.</p><p>By the end of this book, you will have learned the techniques to adopt cloud native architectures that meet your business requirements. You will also understand the future trends and expectations of cloud providers.</p><h4>What you will learn</h4><ul><li>Learn the difference between cloud native and traditional architecture</li><li>Explore the aspects of migration, when and why to use it</li><li>Identify the elements to consider when selecting a technology for your architecture</li><li>Automate security controls and configuration management</li><li>Use infrastructure as code and CICD pipelines to run environments in a sustainable manner</li><li>Understand the management and monitoring capabilities for AWS cloud native application architectures</li></ul><h4>Who this book is for</h4><p>Cloud Native Architectures is for software architects who are keen on designing resilient, scalable, and highly available applications that are native to the cloud.</p> <h4 align="left">Table of Contents</h4><ol><li>Introducing Cloud Native Architecture</li><li>Cloud Adoption Framework</li><li>SDLC of microservices and cloud native architecture</li><li>How to choose technology stacks</li><li>Scalability and Availability</li><li>Security and Reliability</li><li>Cost</li><li>Operational Excellence</li><li>AWS</li><li>Azure</li><li>Google Cloud Platform</li><li>What?s Next? Cloud Native Application Architecture Trends</li></ol>

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