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The Economics of Open Source Software Development
Open Source Software (OSS) development appears to present a stark contrast to traditional production and innovation methods and an unlikely contestant in the marketplace.Some of the most striking features are that OSS development is based on contributions of volunteer programmers, that these programmers only associated with each other through informal communities, that the resulting software products are made available for free, and that this unconventional development method is able to produce software of high complexity and extraordinary quality.Obviously, the emergence of software has fundamentally changed the software business.The simple facts that production is carried out by voluntary private programmers and that the marketable outcomes are supplied to consumers for free, have resulted in far-reaching effects on market structures, business models, and innovation processes in the software industry.While incumbents had to adapt their strategies to this newly emerging competition, OSS-based firms had to develop viable business models enabling them to generate profits.These fundamental changes in the software industry have subsequently attracted the interest of analysts, business people and research in economics and management science.This book fills a substantial gap in this field. It serves as an invaluable reference for all those interested in OSS, and provides information that is broad in scope.
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Web Coding & Development All-in-One For Dummies
Learn the in-demand skills that let you turn lines of code into websites and apps Web Coding & Development All-in-One For Dummies is a one-stop resource for would-be developers who need guidance on the languages and steps used to build websites and applications.Learn the coding ropes and expand your existing skillset with this easy-to-understand guide.In these complete mini-books, you’ll walk through the basics of web development, structuring a page, building and processing web forms, and beyond.Learn how to build a website or create your very own app with the advice of web coding and development experts.This edition expands JavaScript and CSS coverage while providing new content on server-side coding and the development stack.Get essential knowledge of how web development works—even if you’ve never written a line of code in your lifeLearn HTML, CSS, JavaScript, and other languages essential for building websites and appsDiscover how to make optimize your sites and apps for mobile devicesExpand on what you already know and improve your employabilityThis Dummies All-in-One is great for you if want to develop coding skills but don’t have a programming background.It’s also perfect for professionals looking to brush up on their web development skills and get up to date on the latest trends and standards.
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How Open Source Ate Software : Understand the Open Source Movement and So Much More
Learn how free software became open source and how you can sell open source software.This book provides a historical context of how open source has thoroughly transformed how we write software, how we cooperate, how we communicate, how we organize, and, ultimately, how we think about business values.This fully updated second edition includes an entire chapter on legal considerations such as trademarks and the latest happenings in open source licensing.It also expands on open hardware trends such as RISC-V, open governance, and the difference between community projects and commercial products, especially as seen through the lens of security. You’ll look at project and community examples including Linux, BSD, Apache, and Kubernetes, understand the open source development model, and how open source has influenced approaches more broadly, even within proprietary software, such as open betas.You'll also examine the flipside, the "Second Machine Age," and thechallenges of open source-based business models.Today, open source serves as shorthand for much broader trends and behaviors.It’s not just about a free (in all senses of the word) alternative to commercial software.It increasingly is the new commercial software. How Open Source Ate Software, second edition reveals how open source has much in common, and is often closely allied, with many other trends in business and society.You'll see how it enables projects that go beyond any individual company.That makes open source not just a story about software, but a story about almost everything. What You'll LearnThe opportunities that open source creates and the challenges that come with themThe ways in which companies can create business models to successfully sell "free" softwareHow the open source development model works from creating communities to selling commercial productsThe important issues associated with open source project and product governance and licensingHow open source principles can apply more broadly to DevOps and other organizational practicesWho This Book Is For Anyone who is contemplating building a community and a business around open source software.
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For HackRF One R9 1MHz to 6GHz Open Source Software Defined Radio Platform Development Board Batch
For HackRF One R9 1MHz to 6GHz Open Source Software Defined Radio Platform Development Board Batch
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What is the exact difference between source coding and channel coding in digital modulation?
Source coding and channel coding are two different processes in digital modulation. Source coding is the process of compressing the data to reduce the amount of information that needs to be transmitted. It aims to remove redundancy and irrelevant information from the source data. On the other hand, channel coding is the process of adding redundancy to the data before transmission in order to make it more resilient to errors that may occur during transmission. It aims to protect the data from noise and interference in the communication channel. In summary, source coding reduces the amount of data to be transmitted, while channel coding adds redundancy to protect the data during transmission.
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What is the difference between web development and software development?
Web development primarily focuses on creating websites and web applications that are accessed through a web browser, using technologies such as HTML, CSS, and JavaScript. Software development, on the other hand, involves creating applications that can run on various platforms, including desktop computers, mobile devices, and servers. While web development is a subset of software development, software development encompasses a broader range of applications beyond just web-based ones.
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What training opportunities are available for IT specialists to specialize in web development and general programming, such as software development?
There are various training opportunities available for IT specialists looking to specialize in web development and general programming. Online platforms like Coursera, Udemy, and Codecademy offer courses and certifications in programming languages such as Python, Java, and JavaScript. Additionally, coding bootcamps like General Assembly and Flatiron School provide intensive, hands-on training in software development. IT specialists can also pursue advanced degrees in computer science or related fields to deepen their knowledge and skills in web development and programming.
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What training options are available for IT specialists to specialize in web development and general programming, such as software development?
IT specialists looking to specialize in web development and general programming have a variety of training options available to them. They can pursue formal education through degree programs in computer science or related fields, attend coding bootcamps that offer intensive training in programming languages and frameworks, or take online courses and tutorials to learn specific skills. Additionally, IT specialists can participate in workshops, seminars, and conferences to stay updated on the latest trends and technologies in web development and software development. Continuous learning and practice are essential for IT specialists to excel in these specialized areas.
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Core Blender Development : Understanding the Essential Source Code
Learn the essential source code of Blender and its unique build system.This book provides the inner workings of the Blender C-based source code, and will be indispensable for those wanting to contribute to this important open-source project. Blender is an open-source 3D modeling and rendering software package used in the production of assets for animated projects, 3D printing, games, and even scientific visualization.This book goes in depth and discusses the primary modules related to the GUI and the geometric modeling work.You'll start by learning how to reverse engineer geometric operators, and from there move on to the main features of the source code and how to apply them.When done, you'll have the necessary foundation for exploration in other modules of the Blender source code.Lack of software engineering knowledge, such as experience with large cross-platform code base, remains insurmountable for many new developers.While the Blender site includes much useful information, it is not detailed enough.Core Blender Development breaks down the barriers to entry for open-source development in 3-D modeling.What You’ll LearnFind the code for various functions and editors in BlenderTrack down bugs, and contribute new functionality to the Blender code baseExamine the .blend file and how it stores Blender stateUnderstand the Blender core code base beyond the community website documentationReview the explicit code traces and source files of descriptions of the code baseWho This Book Is ForPrimarily for novice to intermediate level developers and programmers with an interest in Blender, graphics, and visualization, who likely don’t have experience of reverse engineering a large code base.
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Remote Sensing and GIS for Ecologists : Using Open Source Software
This is a book about how ecologists can integrate remote sensing and GIS in their daily work.It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations.Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. All practical examples in this book rely on OpenSource software and freely available data sets.Quantum GIS (QGIS) is introduced for basic GIS data handling, and in-depth spatial analytics and statistics are conducted with the software packages R and GRASS. Readers will learn how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing derived products.The authors discuss a wide range of statistical analyses with regard to satellite data as well as specialised topics such as time-series analysis.Extended scripts on how to create professional looking maps and graphics are also provided. This book is a valuable resource for students and scientists in the fields of conservation and ecology interested in learning how to get started in applying remote sensing in ecological research and conservation planning.
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Deep Learning for Remote Sensing Images with Open Source Software
In today’s world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible.However, most people are missing the educational tools to make use of this resource.Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images.The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc.Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data.Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge.No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.
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Research Software Engineering : A Guide to the Open Source Ecosystem
Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an understanding of the opportunities of programming as an approach to analytics and statistics.The book argues that a solid "programming" skill level is not only well within reach for many but also worth pursuing for researchers and business analysts.The ability to write a program leverages field-specific expertise and fosters interdisciplinary collaboration as source code continues to become an important communication channel.Given the pace of the development in data science, many senior researchers and mentors, alongside non-computer science curricula lack a basic software engineering component.This book fills the gap by providing a dedicated programming-with-data resource to both academic scholars and practitioners. Key Featuresoverview: breakdown of complex data science software stacks into core componentsapplied: source code of figures, tables and examples available and reproducible solely with license cost-free, open source softwarereader guidance: different entry points and rich references to deepen the understanding of selected aspects
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Is learning programming and software development very challenging?
Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.
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Which programming languages are used in software development?
There are many programming languages used in software development, including popular languages such as Java, Python, C++, JavaScript, and Ruby. Each language has its own strengths and is used for different purposes in software development. For example, Java is commonly used for building enterprise-level applications, while Python is known for its simplicity and versatility. C++ is often used for system software and game development, while JavaScript is essential for web development. Overall, the choice of programming language depends on the specific requirements of the software being developed.
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What is the difference between software development and programming?
Software development is a broader term that encompasses the entire process of creating software, including planning, designing, testing, and maintaining software applications. Programming, on the other hand, refers specifically to the act of writing code to instruct a computer to perform certain tasks. While programming is a key component of software development, software development involves a more comprehensive approach that includes various stages beyond just writing code.
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What is the difference between source criticism, source analysis, and source interpretation?
Source criticism involves evaluating the reliability and credibility of a source, considering factors such as the author's bias, the source's purpose, and the context in which it was created. Source analysis involves examining the content and structure of a source to understand its main arguments, evidence, and underlying assumptions. Source interpretation goes a step further by interpreting the meaning and significance of the source within its historical, cultural, and social context, and considering how it contributes to our understanding of a particular topic or period. In summary, source criticism focuses on the source's reliability, source analysis focuses on its content and structure, and source interpretation focuses on its meaning and significance.
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