Search results for "master multi-paradigm python programming"
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Learning Functional Programming
Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects.Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming.Learn functional programming fundamentals and explore the way functional programmers approach problemsUnderstand how FP differs from object-oriented and imperative programmingUse a set of practical, applicable design patterns that model reality in a functional wayLearn how to incorporate FP and OOP features into software projectsApply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code
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Beyond Vibe Coding
AI is transforming software development, shifting programmers from writing code to collaborating with AI in an intent-driven workflow-this is vibe coding. Vibe Coding: The Future of Programming explores how AI-powered coding assistants like GitHub Copilot and OpenAI Codex are reshaping the way we build software, from automating routine coding tasks to influencing architecture and design decisions.Written by Addy Osmani, this guide provides developers, tech leads, and organizations with practical strategies to integrate AI into their workflows effectively. Learn how to refine AI-generated code, master prompt engineering, and explore advanced techniques like model fine-tuning and multi-agent coding systems. Whether you're adopting AI tools today or preparing for the future of software engineering, this book offers insights and hands-on examples to keep your skills sharp in this evolving landscape.Understand how AI-assisted development is reshaping programmingMaster techniques for refining, validating, and debugging AI-generated codeExplore multi-agent coding systems and AI-driven software workflowsFuture-proof your career by adapting to AI's growing role in development
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Foundations of Parallel Programming
The major reason for the lack of use of parallel computing is the mismatch between the complexity and variety of parallel hardware, and the software development tools to program it. The cost of developing software needs to be amortised over decades, but the platforms on which it executes change every few years, requiring complete rewrites. The evident cost-effectiveness of parallel computation has not been realized because of this mismatch. This book presents an integrated approach to parallel software development by addressing both software and performance issues together. It presents a methodology for software construction that produces architecture-independent and intellectually abstract software. The software can execute efficiently on a range of existing and potential hardware configurations. The approach is based on the construction of categorical data types, a generalization of abstract data types, and of objects. Categorical data types abstract both from the representation of a data type, and also from the detailed control flow necessary to perform operations on it. They thus impose a strong separation between the semantics, on which programs can depend, and the implementation, which is therefore free to hide the parallel machine properties that are used.
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Introduction to Numerical Programming
Makes Numerical Programming More Accessible to a Wider AudienceBearing in mind the evolution of modern programming, most specifically emergent programming languages that reflect modern practice, Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ utilizes the author’s many years of practical research and teaching experience to offer a systematic approach to relevant programming concepts. Adopting a practical, broad appeal, this user-friendly book offers guidance to anyone interested in using numerical programming to solve science and engineering problems. Emphasizing methods generally used in physics and engineering—from elementary methods to complex algorithms—it gradually incorporates algorithmic elements with increasing complexity.Develop a Combination of Theoretical Knowledge, Efficient Analysis Skills, and Code Design Know-HowThe book encourages algorithmic thinking, which is essential to numerical analysis. Establishing the fundamental numerical methods, application numerical behavior and graphical output needed to foster algorithmic reasoning, coding dexterity, and a scientific programming style, it enables readers to successfully navigate relevant algorithms, understand coding design, and develop efficient programming skills. The book incorporates real code, and includes examples and problem sets to assist in hands-on learning. Begins with an overview on approximate numbers and programming in Python and C/C++, followed by discussion of basic sorting and indexing methods, as well as portable graphic functionalityContains methods for function evaluation, solving algebraic and transcendental equations, systems of linear algebraic equations, ordinary differential equations, and eigenvalue problemsAddresses approximation of tabulated functions, regression, integration of one- and multi-dimensional functions by classical and Gaussian quadratures, Monte Carlo integration techniques, generation of random variables, discretization methods for ordinary and partial differential equations, and stability analysisThis text introduces platform-independent numerical programming using Python and C/C++, and appeals to advanced undergraduate and graduate students in natural sciences and engineering, researchers involved in scientific computing, and engineers carrying out applicative calculations.
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Python Packages
Python Packages introduces Python packaging at an introductory and practical level that’s suitable for those with no previous packaging experience. Despite this, the text builds up to advanced topics such as automated testing, creating documentation, versioning and updating a package, and implementing continuous integration and deployment. Covering the entire Python packaging life cycle, this essential guide takes readers from package creation all the way to effective maintenance and updating.Python Packages focuses on the use of current and best-practice packaging tools and services like poetry, cookiecutter, pytest, sphinx, GitHub, and GitHub Actions.Features:The book’s source code is available online as a GitHub repository where it is collaborated on, automatically tested, and built in real time as changes are made; demonstrating the use of good reproducible and clear project workflows.Covers not just the process of creating a package, but also how to document it, test it, publish it to the Python Package Index (PyPI), and how to properly version and update it.All concepts in the book are demonstrated using examples. Readers can follow along, creating their own Python packages using the reproducible code provided in the text.Focuses on a modern approach to Python packaging with emphasis on automating and streamlining the packaging process using new and emerging tools such as poetry and GitHub Actions.
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Python Packages
Python Packages introduces Python packaging at an introductory and practical level that’s suitable for those with no previous packaging experience. Despite this, the text builds up to advanced topics such as automated testing, creating documentation, versioning and updating a package, and implementing continuous integration and deployment. Covering the entire Python packaging life cycle, this essential guide takes readers from package creation all the way to effective maintenance and updating.Python Packages focuses on the use of current and best-practice packaging tools and services like poetry, cookiecutter, pytest, sphinx, GitHub, and GitHub Actions.Features:The book’s source code is available online as a GitHub repository where it is collaborated on, automatically tested, and built in real time as changes are made; demonstrating the use of good reproducible and clear project workflows.Covers not just the process of creating a package, but also how to document it, test it, publish it to the Python Package Index (PyPI), and how to properly version and update it.All concepts in the book are demonstrated using examples. Readers can follow along, creating their own Python packages using the reproducible code provided in the text.Focuses on a modern approach to Python packaging with emphasis on automating and streamlining the packaging process using new and emerging tools such as poetry and GitHub Actions.
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Mastering Vim
Mastering Vim, reviewed by Bram Moolenaar, the creator of Vim, covers usage of Vim and Neovim, showcases relevant plugins, and teaches VimscriptKey FeaturesExpert Vim and Vimscript techniques to work with Python and other development environmentAccomplish end-to-end software development tasks with Neovim and Vim pluginsUnderstand best practices for various facets of projects like version control, building, and testingBook DescriptionVim is a ubiquitous text editor that can be used for all programming languages. It has an extensive plugin system and integrates with many tools. Vim offers an extensible and customizable development environment for programmers, making it one of the most popular text editors in the world. Mastering Vim begins with explaining how the Vim editor will help you build applications efficiently. With the fundamentals of Vim, you will be taken through the Vim philosophy. As you make your way through the chapters, you will learn about advanced movement, text operations, and how Vim can be used as a Python (or any other language for that matter) IDE. The book will then cover essential tasks, such as refactoring, debugging, building, testing, and working with a version control system, as well as plugin configuration and management. In the concluding chapters, you will be introduced to additional mindset guidelines, learn to personalize your Vim experience, and go above and beyond with Vimscript.By the end of this book, you will be sufficiently confident to make Vim (or its fork, Neovim) your first choice when writing applications in Python and other programming languages.What you will learnGet the most recent Vim, GVim, and Neovim versions installedBecome efficient at navigating and editing textUncover niche Vim plugins and pick the best onesDiscover multiple ways of organizing pluginsExplore and tailor Vim UI to fit your needsOrganize and maintain Vim configuration across environmentsWrite scripts to complement your workflow using VimscriptWho this book is forMastering Vim is written for beginner, intermediate, and expert developers.The book will teach you to effectively embed Vim in your daily workflow. No prior experience with Python or Vim is required.
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Concepts and Semantics of Programming Languages 2
This book – composed of two volumes – explores the syntactical constructs of the most common programming languages, and sheds a mathematical light on their semantics, providing also an accurate presentation of the material aspects that interfere with coding.Concepts and Semantics of Programming Languages 2 presents an original semantic model, collectively taking into account all of the constructs and operations of modules and classes: visibility, import, export, delayed definitions, parameterization by types and values, extensions, etc. The model serves for the study of Ada and OCaml modules, as well as C header files. It can be deployed to model object and class features, and is thus used to describe Java, C++, OCaml and Python classes.This book is intended not only for computer science students and teachers but also seasoned programmers, who will find a guide to reading reference manuals and the foundations of program verification.
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Crystal Programming
The ultimate guide to Crystal programming covering all its fundamental concepts such as OOP and concurrent programming to help you write readable and safe code and build fast applicationsKey FeaturesThe book uses an example-based approach for a better demonstration of the underlying conceptsDevelop a thorough appreciation of the roles of the macro API and annotationsLeverage supportive tools – spec, documentation, deployment, and automationBook DescriptionCrystal is a programming language with a concise and user-friendly syntax, along with a seamless system and a performant core, reaching C-like speed. This book will help you gain a deep understanding of the fundamental concepts of Crystal and show you how to apply them to create various types of applications.This book comes packed with step-by-step explanations of essential concepts and practical examples. You'll learn how to use Crystal's features to create complex and organized projects relying on OOP and its most common design patterns. As you progress, you'll gain a solid understanding of both the basic and advanced features of Crystal. This will enable you to build any application, including command-line interface (CLI) programs and web applications using IOs, concurrency and C bindings, HTTP servers, and the JSON API.By the end of this programming book, you'll be equipped with the skills you need to use Crystal programming for building and understanding any application you come across.What you will learnExplore how Crystal combines the merits of other languagesUnderstand how to leverage existing C libraries without writing any CFocus on zero-cost abstractions with compile-time macrosUse an example-based approach to demonstrate language featuresDevelop a variety of Crystal applications, such as web and CLI appsGain an understanding of the macro API and annotationsWho this book is forDevelopers who want to learn Crystal programming or anyone looking to improve their ability to solve real-world problems using the language will find this book helpful. Experience in application development using any other programming language is expected. However, prior knowledge of Crystal is not required.
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