Search results for "Master Multi-Paradigm Python Programming"
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R 611.00
Mastering Pascal and Delphi Programming
This work provides an introduction to programming with Pascal and extends this to show how Borland Delphi is used to develop Microsoft Windows programs. It provides real life applications and splits into three main sections: Pascal programming, Pascal applications, and Delphi programming. Practical applications include: software interrupts, hardware interrupts, graphics, date and time, system commands, RS 232 and parallel ports. This work is intended for GNVQ, A Level, further and adult education, first year undergraduate students, and for professionals and computing enthusiasts.
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Speed Up Your Python with Rust
Discover how to inject your code with highly performant Rust features to develop fast and memory-safe applicationsKey FeaturesLearn to implement Rust in a Python system without altering the entire systemWrite safe and efficient Rust code as a Python developer by understanding the essential features of RustBuild Python extensions in Rust by using Python NumPy modules in your Rust codeBook DescriptionPython has made software development easier, but it falls short in several areas including memory management that lead to poor performance and security. Rust, on the other hand, provides memory safety without using a garbage collector, which means that with its low memory footprint, you can build high-performant and secure apps relatively easily. However, rewriting everything in Rust can be expensive and risky as there might not be package support in Rust for the problem being solved. This is where Python bindings and pip come in.This book will help you, as a Python developer, to start using Rust in your Python projects without having to manage a separate Rust server or application. Seeing as you'll already understand concepts like functions and loops, this book covers the quirks of Rust such as memory management to code Rust in a productive and structured manner. You'll explore the PyO3 crate to fuse Rust code with Python, learn how to package your fused Rust code in a pip package, and then deploy a Python Flask application in Docker that uses a private Rust pip module. Finally, you'll get to grips with advanced Rust binding topics such as inspecting Python objects and modules in Rust.By the end of this Rust book, you'll be able to develop safe and high-performant applications with better concurrency support.What you will learnExplore the quirks of the Rust programming language that a Python developer needs to understand to code in RustUnderstand the trade-offs for multiprocessing and thread safety to write concurrent codeBuild and manage a software project with cargo and cratesFuse Rust code with Python so that Python can import and run Rust codeDeploy a Python Flask application in Docker that utilizes a private Rust pip moduleInspect and create your own Python objects in RustWho this book is forThis book is for Python developers who want to speed up their Python code with Rust and implement Rust in a Python system without altering the entire system. You'll be able to learn about all topics relating to Rust programming. Basic knowledge of Python is required to get the most out of this book.
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Common-Sense Guide to Data Structures and Algorithms in Python, Volume 1
If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your Python code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work.Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. The Python edition uses Python exclusively for all code examples, exercise, and solutions.Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You'll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions.Use these techniques today to make your Python code faster and more scalable.
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R 489.00
Programming and Meta-Programming in Scheme
A comprehensive first course in Scheme, covering all of its major features: abstraction, functional programming, data types, recursion, and semantic programming. Although the primary goal is to teach students to program in Scheme, this will be suitable for anyone taking a general programming principles course. Each chapter is divided into three sections: core, appendix , and problems. Most essential topics are covered in the core section, but it is assumed that most students will read the appendices and solve most of the problems - all of which require short Scheme procedures. As well as providing a thorough grounding in Scheme, the author discusses different programming paradigms in depth. An important theme throughout is that of "meta-programming", thus providing an insight into topics such as type-checking and overloading which might otherwise be missed.
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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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R 566.00
Python Data Visualization Cookbook
This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data visualization in Python. Python Data Visualization Cookbook is for developers that already know about Python programming in general. If you have heard about data visualization but you don't know where to start, then this book will guide you from the start and help you understand data, data formats, data visualization, and how to use Python to visualize data.You will need to know some general programming concepts, and any kind of programming experience will be helpful, but the code in this book is explained almost line by line. You don't need maths for this book, every concept that is introduced is thoroughly explained in plain English, and references are available for further interest in the topic.
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