Programming The Future

From 9/11 to COVID-19, the twenty-first century looks increasingly dystopian—and so do its television shows. Long-form science fiction narratives take one step further the fears of today: liberal democracy in crisis, growing economic precarity, the threat of terrorism, and omnipresent corporate control. At the same time, many of these shows attempt to visualize alternatives, using dystopian extrapolations to spotlight the possibility of building a better world. Programming the Future examines how recent speculative television takes on the contradictions of the neoliberal order. Sherryl Vint and Jonathan Alexander consider a range of popular SF narratives of the last two decades, including Battlestar Galactica, Watchmen, Colony, The Man in the High Castle, The Expanse, and Mr. Robot. They argue that science fiction television foregrounds governance as part of explaining the novel institutions and norms of its imagined futures. In so doing, SF shows allegorize and critique contemporary social, political, and economic developments, helping audiences resist the naturalization of the status quo. Vint and Alexander also draw on queer theory to explore the representation of family structures and their relationship to larger social structures. Recasting both dystopian and utopian narratives, Programming the Future shows how depictions of alternative-world political struggles speak to urgent real-world issues of identity, belonging, and social and political change.

Great programmers aren't born--they're made. The industry is moving from object-oriented languages to functional languages, and you need to commit to radical improvement. New programming languages arm you with the tools and idioms you need to refine your craft. While other language primers take you through basic installation and "Hello, World," we aim higher. Each language in Seven More Languages in Seven Weeks will take you on a step-by-step journey through the most important paradigms of our time. You'll learn seven exciting languages: Lua, Factor, Elixir, Elm, Julia, MiniKanren, and Idris. Learn from the award-winning programming series that inspired the Elixir language. Hear how other programmers across broadly different communities solve problems important enough to compel language development. Expand your perspective, and learn to solve multicore and distribution problems. In each language, you'll solve a non-trivial problem, using the techniques that make that language special. Write a fully functional game in Elm, without a single callback, that compiles to JavaScript so you can deploy it in any browser. Write a logic program in Clojure using a programming model, MiniKanren, that is as powerful as Prolog but much better at interacting with the outside world. Build a distributed program in Elixir with Lisp-style macros, rich Ruby-like syntax, and the richness of the Erlang virtual machine. Build your own object layer in Lua, a statistical program in Julia, a proof in code with Idris, and a quiz game in Factor. When you're done, you'll have written programs in five different programming paradigms that were written on three different continents. You'll have explored four languages on the leading edge, invented in the past five years, and three more radically different languages, each with something significant to teach you.

Programmers don't just use Kotlin, they love it. Even Google has adopted it as a first-class language for Android development. With Kotlin, you can intermix imperative, functional, and object-oriented styles of programming and benefit from the approach that's most suitable for the problem at hand. Learn to use the many features of this highly concise, fluent, elegant, and expressive statically typed language with easy-to-understand examples. Learn to write easy-to-maintain, high-performing JVM and Android applications, create DSLs, program asynchrony, and much more. Kotlin is a highly concise, elegant, fluent, and expressive statically typed multi-paradigm language. It is one of the few languages that compiles down to both Java bytecode and JavaScript. You can use it to build server-side, front-end, and Android applications. With Kotlin, you need less code to accomplish your tasks, while keeping the code type-safe and less prone to error. If you want to learn the essentials of Kotlin, from the fundamentals to more advanced concepts, you've picked the right book. Fire up your favorite IDE and practice hundreds of examples and exercises to sharpen your Kotlin skills. Learn to build standalone small programs to run as scripts, create type safe code, and then carry that knowledge forward to create fully object-oriented and functional style code that's easier to extend. Learn how to program with elegance but without compromising efficiency or performance, and how to use metaprogramming to build highly expressive code and create internal DSLs that exploit the fluency of the language. Explore coroutines, program asynchrony, run automated tests, and intermix Kotlin with Java in your enterprise applications. This book will help you master one of the few languages that you can use for the entire full stack - from the server to mobile devices - to create performant, concise, and easy to maintain applications. What You Need: To try out the examples in the book you'll need a computer with Kotlin SDK, JDK, and a text editor or a Kotlin IDE installed in it.

Continuing the trend-watching of Technology 2001, which discussed the technologies that could well define the computing and communications environment that lies ahead, The Future of Software assembles the observations of leading computer scientists, strategists, and planners in both business and academia, this time tackling software development. Despite the extraordinary advances during the past few years in computing power, Derek Leebaert and the other contributors see as the biggest challenge for the future the development of software that can fully exploit the the computer's ever-increasing capabilities. Each author addresses the particular aspect of software that is his or her specialty, examining how various developments and applications will transform the way we think about and use comptuters as we enter the next millennium. The topics include the history and evolution of software, the future of software and how it will change the way we live, software standardization, work group computing, computer supported collaboration, end-user programming, natural language and natural- intelligence capabilities and limitations, the Japanese software industry, software and the law, and the coordination of knowledge.

Free and open source is the foundation of software development, and it's built by people just like you. Discover the fundamental tenets that drive the movement. Take control of your career by selecting the right project to meet your professional goals. Master the language and avoid the pitfalls that typically ensnare new contributors. Join a community of like-minded people and change the world. Programmers, writers, designers, and everyone interested in software will make their mark through free and open source software contributions. Free and open source software is the default choice for the programming languages and technologies which run our world today, and it's all built and maintained by people just like you. No matter your skill level or area of expertise, with this book you will contribute to free and open source software projects. Using this practical approach you'll understand not only the mechanics of contributing, but also how doing so helps your career as well as the community. This book doesn't assume that you're a programmer, or even that you have prior experience with free and open source software. Learn what open source is, where it came from, and why it's important. Start on the right foot by mastering the structure and tools you need before you contribute. Choose the right project for you, amplifying the impact of your contribution. Submit your first contribution, whether it's code, writing, design, or community organising. Find out what to do when things don't go the way you expect. Discover how to start your own project and make it friendly and welcoming to contributors. Anyone can contribute! Make your mark today and help others while also helping yourself.

"Julia walks like Python and runs like C". This phrase explains why Julia is fast growing as the most favoured option for data analytics and numerical computation. Julia is the fastest modern open-source language for data science, machine learning and scientific computing. Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, MATLAB, SAS or Stata combined with the speed, capacity and performance of C, C++ or Java.Present books is both for beginners and experienced users. While experienced users can use this as a reference, new users can learn the fine details of julia program's composition. CHAPETRS: 1. Introduction, 2. Object Oriented programming, 3. Basic maths with Julia, 4. Complex Numbers, 5. Rational and Irrational numbers, 6. Mathematical Functions, 7.Arrays, 8. Arrays for matrix operations, 9. String,s 10. Functions, 11. Control Flow, 12. Input Output, 13.

This is Volume 7 of Trends in Functional Programming (TFP). It contains a refereed selection of the papers that were presented at TFP 2006: the Seventh Symposium on Trends in Functional Programming. which took place in Nottingham, 19-21 April, 2006. TFP is an international forum for researchers from all functional programming communities spanning the entire width of topics in the field. Its goal is to provide a broad view of current and future trends in functional programming in a lively and friendly setting, thus promoting new research directions related to the field of functional programming and the relationship between functional programming and other fields of computer science. True to the spirit of TFP, the selection of papers in this volume covers a wide range of topics, including dependently typed programming, generic programming, purely functional data structures, function synthesis, declarative debugging, implementation of functional programming languages, and memory management. A particular emerging trend is that of dependently typed programming, reflected by a number of papers in the present selection and by the co-location of TFP and Types 2006.

Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software.