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"Processing (programming language)"
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Probabilistic (logic) programming concepts
A multitude of different probabilistic programming languages exists today, all extending a traditional programming language with primitives to support modeling of complex, structured probability distributions. Each of these languages employs its own probabilistic primitives, and comes with a particular syntax, semantics and inference procedure. This makes it hard to understand the underlying programming concepts and appreciate the differences between the different languages. To obtain a better understanding of probabilistic programming, we identify a number of core programming concepts underlying the primitives used by various probabilistic languages, discuss the execution mechanisms that they require and use these to position and survey state-of-the-art probabilistic languages and their implementation. While doing so, we focus on probabilistic extensions of
logic
programming languages such as Prolog, which have been considered for over 20 years.
Journal Article
Python for the life sciences : a gentle introduction to Python for life scientists
\"Treat yourself to a lively, intuitive, and easy-to-follow introduction to computer programming in Python. The book was written specifically for biologists with little or no prior experience of writing code - with the goal of giving them not only a foundation in Python programming, but also the confidence and inspiration to start using Python in their own research. Virtually all of the examples in the book are drawn from across a wide spectrum of life science research, from simple biochemical calculations and sequence analysis, to modeling the dynamic interactions of genes and proteins in cells, or the drift of genes in an evolving population. Best of all, \"Python for the life sciences\" shows you how to implement all of these projects in Python, one of the most popular programming languages for scientific computing. If you are a life scientist interested in learning Python to jump-start your research, this is the book for you\"--Back cover.
Book
Practical Foundations for Programming Languages
Types are the central organizing principle of the theory of programming languages. In this innovative book, Professor Robert Harper offers a fresh perspective on the fundamentals of these languages through the use of type theory. Whereas most textbooks on the subject emphasize taxonomy, Harper instead emphasizes genetics, examining the building blocks from which all programming languages are constructed. Language features are manifestations of type structure. The syntax of a language is governed by the constructs that define its types, and its semantics is determined by the interactions among those constructs. The soundness of a language design – the absence of ill-defined programs – follows naturally. Professor Harper's presentation is simultaneously rigorous and intuitive, relying on elementary mathematics. The framework he outlines scales easily to a rich variety of language concepts and is directly applicable to their implementation. The result is a lucid introduction to programming theory that is both accessible and practical.
eBook
The SparkFun guide to Processing : create interactive art with code
\"A project-based guide for beginners that teaches how to use the programming language Processing. Covers digital artwork and hardware topics including pixel art, photo editing, video manipulation, 3D design, and using Processing to control an Arduino\"-- Provided by publisher.
Book
Programming Language Cultures
\"In this book, Brian Lennon demonstrates the power of a philological approach to the history of programming languages and their usage cultures. In chapters focused on specific programming languages such as SNOBOL and JavaScript, as well as on code comments, metasyntactic variables, the very early history of programming, and the concept of DevOps, Lennon emphasizes the histories of programming languages in their individual specificities over their abstract formal or structural characteristics, viewing them as carriers and sometimes shapers of specific cultural histories. The book's philological approach to programming languages presents a natural, sensible, and rigorous way for researchers trained in the humanities to perform research on computing in a way that draws on their own expertise. Combining programming knowledge with a humanistic analysis of the social and historical dimensions of computing, Lennon offers researchers in literar
eBook
Hands-On Concurrency with Rust
Get to grips with modern software demands by learning the effective uses of Rust's powerful memory safety.About This Book• Learn and improve the sequential performance characteristics of your software• Understand the use of operating system processes in a high-scale concurrent system• Learn of the various coordination methods available in the Standard libraryWho This Book Is ForThis book is aimed at software engineers with a basic understanding of Rust who want to exploit the parallel and concurrent nature of modern computing environments, safely.What You Will Learn• Probe your programs for performance and accuracy issues• Create your own threading and multi-processing environment in Rust• Use coarse locks from Rust's Standard library• Solve common synchronization problems or avoid synchronization using atomic programming• Build lock-free/wait-free structures in Rust and understand their implementations in the crates ecosystem• Leverage Rust's memory model and type system to build safety properties into your parallel programs• Understand the new features of the Rust programming language to ease the writing of parallel programsIn DetailMost programming languages can really complicate things, especially with regard to unsafe memory access. The burden on you, the programmer, lies across two domains: understanding the modern machine and your language's pain-points. This book will teach you to how to manage program performance on modern machines and build fast, memory-safe, and concurrent software in Rust. It starts with the fundamentals of Rust and discusses machine architecture concepts. You will be taken through ways to measure and improve the performance of Rust code systematically and how to write collections with confidence. You will learn about the Sync and Send traits applied to threads, and coordinate thread execution with locks, atomic primitives, data-parallelism, and more.The book will show you how to efficiently embed Rust in C++ code and explore the functionalities of various crates for multithreaded applications. It explores implementations in depth. You will know how a mutex works and build several yourself. You will master radically different approaches that exist in the ecosystem for structuring and managing high-scale systems.By the end of the book, you will feel comfortable with designing safe, consistent, parallel, and high-performance applications in Rust.Style and approachReaders will be taken through various ways to improve the performance of their Rust code.
eBook
Python for finance : mastering data-driven finance
Python has become the programming language of choice for data-driven and AI-first finance. Some of the largest investment banks and hedge funds now use Python and its ecosystem for building core trading and risk management systems. In the second edition of this guide, Yves Hilpisch shows developers and quantitative analysts how to use Python packages and tools for financial data science, algorithmic trading, and computational finance.
Book
Interpreting blood GLUcose data with R package iglu
Continuous Glucose Monitoring (CGM) data play an increasing role in clinical practice as they provide detailed quantification of blood glucose levels during the entire 24-hour period. The R package iglu implements a wide range of CGM-derived metrics for measuring glucose control and glucose variability. The package also allows one to visualize CGM data using time-series and lasagna plots. A distinct advantage of iglu is that it comes with a point-and-click graphical user interface (GUI) which makes the package widely accessible to users regardless of their programming experience. Thus, the open-source and easy to use iglu package will help advance CGM research and CGM data analyses. R package iglu is publicly available on CRAN and at https://github.com/irinagain/iglu .
Journal Article