<h2>Learn Python the Easy Way, Complete with Examples and Exercises</h2><br /><p>Knowing where to start when learning a new skill can be a challenge, especially when the topic seems so vast. There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained. This kind of experience is frustrating and leaves you with more questions than answers.</p><br /><p><em>Python Programming for Beginners</em> doesn't make any assumptions about your background or knowledge of Python or computer programming. You need no prior knowledge to benefit from this book. You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon are encountered they are explained in plain language, making it easy for anyone to understand.</p><br /><h2>Here is what you will learn by reading <em>Python Programming for Beginners</em>:</h2><br /><ul><br /><li>When to use Python 2 and when to use Python 3.</li><br /><li>How to install Python on Windows, Mac, and Linux. Screenshots included.</li><br /><li>How to prepare your computer for programming in Python.</li><br /><li>The various ways to run a Python program on Windows, Mac, and Linux.</li><br /><li>Suggested text editors and integrated development environments to use when coding in Python.</li><br /><li>How to work with various data types including strings, lists, tuples, dictionaries, booleans, and more.</li><br /><li>What variables are and when to use them.</li><br /><li>How to perform mathematical operations using Python.</li><br /><li>How to capture input from a user.</li><br /><li>Ways to control the flow of your programs.</li><br /><li>The importance of white space in Python.</li><br /><li>How to organize your Python programs -- Learn what goes where.</li><br /><li>What modules are, when you should use them, and how to create your own.</li><br /><li>How to define and use functions.</li><br /><li>Important built-in Python functions that you'll use often.</li><br /><li>How to read from and write to files.</li><br /><li>The difference between binary and text files.</li><br /><li>Various ways of getting help and find Python documentation.</li><br /><li>Much more...</li><br /></ul><br />Every single code example in the book is available to download, providing you with all the Python code you need at your fingertips!<br /><h2>Scroll up, click the Buy Now With 1 Click button and get started learning Python today!</h2>

<p>Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on second edition, expanded and thoroughly updated for Terraform version 0.12 and beyond, shows you the fastest way to get up and running.</p><p>Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform鈥檚 simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers.</p><ul><li>Explore changes from Terraform 0.9 through 0.12, including backends, workspaces, and first-class expressions</li><li>Learn how to write production-grade Terraform modules</li><li>Dive into manual and automated testing for Terraform code</li><li>Compare Terraform to Chef, Puppet, Ansible, CloudFormation, and Salt Stack</li><li>Deploy server clusters, load balancers, and databases</li><li>Use Terraform to manage the state of your infrastructure</li><li>Create reusable infrastructure with Terraform modules</li><li>Use advanced Terraform syntax to achieve zero-downtime deployment</li></ul>

<p><b>An engaging, illustrated collection of insights revealing the practices and principles that expert software designers use to create great software.</b></p><p>What makes an expert software designer? It is more than experience or innate ability. Expert software designers have specific habits, learned practices, and observed principles that they apply deliberately during their design work. This book offers sixty-six insights, distilled from years of studying experts at work, that capture what successful software designers actually do to create great software. </p><p>The book presents these insights in a series of two-page illustrated spreads, with the principle and a short explanatory text on one page, and a drawing on the facing page. For example, 鈥淓xperts generate alternatives鈥?is illustrated by the same few balloons turned into a set of very different balloon animals. The text is engaging and accessible; the drawings are thought-provoking and often playful.</p><p>Organized into such categories as 鈥淓xperts reflect,鈥?鈥淓xperts are not afraid,鈥?and 鈥淓xperts break the rules,鈥?the insights range from 鈥淓xperts prefer simple solutions鈥?to 鈥淓xperts see error as opportunity.鈥?Readers learn that 鈥淓xperts involve the user鈥? 鈥淓xperts take inspiration from wherever they can鈥? 鈥淓xperts design throughout the creation of software鈥? and 鈥淓xperts draw the problem as much as they draw the solution.鈥?</p><p>One habit for an aspiring expert software designer to develop would be to read and reread this entertaining but essential little book. The insights described offer a guide for the novice or a reference for the veteran鈥攊n software design or any design profession.</p><p>A companion web site provides an annotated bibliography that compiles key underpinning literature, the opportunity to suggest additional insights, and more.</p>

<p>The overwhelming majority of a software system鈥檚 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鈥檚 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鈥檒l learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient鈥攍essons directly applicable to your organization.</p><p>This book is divided into four sections:</p><ul><li><b>Introduction</b>鈥擫earn what site reliability engineering is and why it differs from conventional IT industry practices</li><li><b>Principles</b>鈥擡xamine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE)</li><li><b>Practices</b>鈥擴nderstand the theory and practice of an SRE鈥檚 day-to-day work: building and operating large distributed computing systems</li><li><b>Management</b>鈥擡xplore Google's best practices for training, communication, and meetings that your organization can use</li></ul>

<p> <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>聽</p> <p>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鈥搑efactoring not just the code but the model underlying the code鈥搃n 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>聽</p> <p>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>

<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

<strong>Are you ready to take your programming to the next level?<br /><br />If you are unfamiliar with programming and are looking for an <i>open-source electronic interface</i>, then Arduino could be just the place to start! </strong><br /><br />With a range of Arduinos to choose from, and an increasing variety of projects online or in-person that are built on Arduino technologies, the <i>flexibility</i> they offer and the ease of building gadgets with Arduino has attracted many people who are both novices and seasoned professionals.<br /><br />Now, with this new and informative guide, <strong>Arduino Programming: The Ultimate Beginner鈥檚 & Intermediate Guide to Learn Arduino Programming Step by Step,</strong> you can learn all you need to get you started with this impressive resource, with chapters that delve into: <strong><br /><br /> <u>Book 1</u><br /><br />鈥? The history of Arduino<br />鈥? 6 advantages of Arduino<br />鈥? Anatomy and other terms of Arduino<br />鈥? Understanding the choices that are on offer<br />鈥? Setting up Arduino<br />鈥? Data types<br />鈥? Inputs, outputs and sensors<br />鈥? And lots more鈥?lt;/strong><br /><br /> <u>Book 2</u><br /><br />鈥? Getting the most from Arduino<br />鈥? Functions, calculations and tables<br />鈥? Linking the physical to the virtual<br />鈥? Coupling and multiplexing<br />鈥? How to digitalize sound<br />鈥? Advanced techniques<br />鈥? Networking<br />鈥? And much, much more鈥?lt;br /><br /><br />With its combination of theory and practical advice, <strong>Arduino Programming</strong> is the stand-out book when it comes to building on your basic understanding of this fantastic programming resource.<br /><br />Don鈥檛 wait any longer and <strong>get your copy today</strong>. Arduino is the answer you鈥檝e been looking for and Arduino Programming is the book that will provide the platform for your success!

<p>Kubernetes radically changes the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. The updated edition of this practical book shows developers and ops personnel how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.</p><p>Kelsey Hightower, Brendan Burns, and Joe Beda鈥攚ho鈥檝e worked on Kubernetes at Google and beyond鈥攅xplain how this system fits into the lifecycle of a distributed application. You鈥檒l learn how to use tools and APIs to automate scalable distributed systems, whether it鈥檚 for online services, machine learning applications, or a cluster of Raspberry Pi computers.</p><ul><li>Create a simple cluster to learn how Kubernetes works</li><li>Dive into the details of deploying an application using Kubernetes</li><li>Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets</li><li>Explore deployments that tie together the lifecycle of a complete application</li><li>Get practical examples of how to develop and deploy real-world applications in Kubernetes</li></ul>

<b>Looking for Best Practices for RESTful APIs?</b><br />This book is for you! Why? Because this book is packed with practical experience on what works best for RESTful API Design.<br /><br /><b>You want to design APIs like a Pro?</b><br />Use API description languages to both design APIs and develop APIs efficiently. The book introduces the two most common API description languages RAML, OpenAPI, and Swagger.<br /><br /><b>Your company cares about its customers?</b><br />Learn API product management with a customer-centric design and development approach for APIs. Learn how to manage APIs as a product and how to follow an API-first approach. Build APIs your customers love!<br /><br /><b>You want to manage the complete API lifecycle?</b><br />An API development methodology is proposed to guide you through the lifecycle: API inception, API design, API development, API publication, API evolution, and maintenance.<br /><br /><b>You want to build APIs right?</b><br />This book shows best practices for REST design, such as the correct use of resources, URIs, representations, content types, data formats, parameters, HTTP status codes, and HTTP methods.<br /><br /><b>Your APIs connect to legacy systems?</b><br />The book shows best practices for connecting APIs to existing backend systems.<br /><br /><b>Your APIs connect to a mesh of microservices?</b><br />The book shows the principles for designing APIs for scalable, autonomous microservices.<br /><br /><b>You expect lots of traffic on your API?</b><br />The book shows you how to achieve high performance, availability, and maintainability.<br /><br /><b>You want to build APIs that last for decades?</b><br />We study API versioning, API evolution, backward- and forward-compatibility and show API design patterns for versioning.<br /><br />鈽呪槄 Get the Kindle eBook for FREE if you buy the Paperback version of this book! 鈽呪槄<br /><br />The <b>API-University Series</b> is a modular series of books on API-related topics. Each book focuses on a particular API topic, so you can select the topics within APIs, which are relevant for you.

<p>This is the eBook version of the printed book.</p><b> <p>Essential Information about Algorithms and Data Structures</p> </b><p><b></b>聽</p><i> <p>A Classic Reference</p> </i><p><i></i>The latest version of Sedgewick鈥檚 best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. </p> <p>聽</p><i> <p>Broad Coverage</p> </i><p><i></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>聽</p><i> <p>Completely Revised Code</p> </i><p><i></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>聽</p><i> <p>Engages with Applications</p> </i><p><i></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>聽</p><i> <p>Intellectually Stimulating</p> </i><p><i></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>聽</p><i> <p>A Scientific Approach</p> </i><p><i></i>Develops precise statements about performance, supported by appropriate mathematical models and empirical studies validating those models.</p> <p>聽</p> <p>聽</p> <p><b>Contents</b></p> <p>Chapter 1: Fundamentals</p> <p>Programming Model</p> <p>Data Abstraction</p> <p>Bags, Stacks, and Queues</p> <p>Analysis of Algorithms</p> <p>Case Study: Union-Find</p> <p>聽</p> <p>Chapter 2: Sorting</p> <p>Elementary Sorts</p> <p>Mergesort</p> <p>Quicksort</p> <p>Priority Queues</p> <p>Applications</p> <p>聽</p> <p>Chapter 3: Searching</p> <p>Symbol Tables</p> <p>Binary Search Trees</p> <p>Balanced Search Trees</p> <p>Hash Tables</p> <p>Applications</p> <p>聽</p> <p>Chapter 4: Graphs</p> <p>Undirected Graphs</p> <p>Directed Graphs</p> <p>Minimum Spanning Trees</p> <p>Shortest Paths</p> <p>聽</p> <p>Chapter 5: Strings</p> <p>String Sorts</p> <p>Tries</p> <p>Substring Search</p> <p>Regular Expressions</p> <p>Data Compression</p> <p>聽</p> <p>Chapter 6: Context</p>