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At its most fundamental, SIMPL is a set of library functions which allow the passing of encapsulated messages between cooperating processes. These processes may be local to one host computer or spread over a network.On another level, SIMPL is an active open source project which began over a decade ago. Over the years this project has accumulated an extensive body of sample code and extensions. Currently SIMPL libraries are supported for C/C++, Python, JAVA and Tcl programming languages. A sample Sudoku puzzle solver project illustrates all these in a single application.
Get started with writing simple programs in C while learning the skills that will help you work with practically any programming language Key FeaturesLearn essential C concepts such as variables, data structures, functions, loops, arrays, and pointersGet to grips with the core programming aspects that form the base of many modern programming languagesExplore the expressiveness and versatility of the C language with the help of sample programsBook Description C is a powerful general-purpose programming language that is excellent for beginners to learn. This book will introduce you to computer programming and software development using C. If you're an experienced developer, this book will help you to become familiar with the C programming language. This C programming book takes you through basic programming concepts and shows you how to implement them in C. Throughout the book, you'll create and run programs that make use of one or more C concepts, such as program structure with functions, data types, and conditional statements. You'll also see how to use looping and iteration, arrays, pointers, and strings. As you make progress, you'll cover code documentation, testing and validation methods, basic input/output, and how to write complete programs in C. By the end of the book, you'll have developed basic programming skills in C, that you can apply to other programming languages and will develop a solid foundation for you to advance as a programmer. What you will learnUnderstand fundamental programming concepts and implement them in CWrite working programs with an emphasis on code indentation and readabilityBreak existing programs intentionally and learn how to debug codeAdopt good coding practices and develop a clean coding styleExplore general programming concepts that are applicable to more advanced projectsDiscover how you can use building blocks to make more complex and interesting programsUse C Standard Library functions and understand why doing this is desirableWho this book is for This book is written for two very diverse audiences. If you're an absolute beginner who only has basic familiarity with operating a computer, this book will help you learn the most fundamental concepts and practices you need to know to become a successful C programmer. If you're an experienced programmer, you'll find the full range of C syntax as well as common C idioms. You can skim through the explanations and focus primarily on the source code provided.
The new edition of an introduction to computer programming within the context of the visual arts, using the open-source programming language Processing; thoroughly updated throughout. The visual arts are rapidly changing as media moves into the web, mobile devices, and architecture. When designers and artists learn the basics of writing software, they develop a new form of literacy that enables them to create new media for the present, and to imagine future media that are beyond the capacities of current software tools. This book introduces this new literacy by teaching computer programming within the context of the visual arts. It offers a comprehensive reference and text for Processing (www.processing.org), an open-source programming language that can be used by students, artists, designers, architects, researchers, and anyone who wants to program images, animation, and interactivity. Written by Processing's cofounders, the book offers a definitive reference for students and professionals. Tutorial chapters make up the bulk of the book; advanced professional projects from such domains as animation, performance, and installation are discussed in interviews with their creators. This second edition has been thoroughly updated. It is the first book to offer in-depth coverage of Processing 2.0 and 3.0, and all examples have been updated for the new syntax. Every chapter has been revised, and new chapters introduce new ways to work with data and geometry. New “synthesis” chapters offer discussion and worked examples of such topics as sketching with code, modularity, and algorithms. New interviews have been added that cover a wider range of projects. “Extension” chapters are now offered online so they can be updated to keep pace with technological developments in such fields as computer vision and electronics. Interviews SUE.C, Larry Cuba, Mark Hansen, Lynn Hershman Leeson, Jürg Lehni, LettError, Golan Levin and Zachary Lieberman, Benjamin Maus, Manfred Mohr, Ash Nehru, Josh On, Bob Sabiston, Jennifer Steinkamp, Jared Tarbell, Steph Thirion, Robert Winter
Program your own Raspberry Pi projects Create innovative programs and fun games on your tiny yet powerful Raspberry Pi. In this book, electronics guru Simon Monk explains the basics of Raspberry Pi application development, while providing hands-on examples and ready-to-use scripts. See how to set up hardware and software, write and debug applications, create user-friendly interfaces, and control external electronics. Do-it-yourself projects include a hangman game, an LED clock, and a software-controlled roving robot. Boot up and configure your Raspberry Pi Navigate files, folders, and menus Create Python programs using the IDLE editor Work with strings, lists, and functions Use and write your own libraries, modules, and classes Add Web features to your programs Develop interactive games with Pygame Interface with devices through the GPIO port Build a Raspberry Pi Robot and LED Clock Build professional-quality GUIs using Tkinter
The Scratch programming language is widely used in schools and on the Raspberry Pi. Its drag-and-drop commands make it an ideal language for all ages to learn to program. And this popular book, Scratch Programming in easy steps, now fully updated for Scratch 3, is packed with ideas and games that illustrate what’s possible with Scratch. Scratch makes it easy to create your own games, animations, music, art or applications. It’s the perfect way to learn programming because it takes away a lot of the complexity. That means you can focus on having great ideas and bringing them to life. With Scratch Programming in easy steps, 2nd edition as your companion, you’ll learn how to: · Build games that require skill, knowledge or quick fingers · Add music · Create eye-catching visual effects · Keep score · Avoid common pitfalls and learn how to fix bugs Scratch Programming in easy steps, 2nd edition will help you to get creative and become a super Scratcher! Table of Contents: 1. Introducing Scratch 2. Drawing with Scratch 3. Spiral Rider 4. Super Dodgeball 5. Space Opera 6. Quiz Break 7. Evil Robot 8. Space Swarm 9. Physical computing with Scratch 10. Seven shorties 11. Making and sharing projects
C# Programming in easy steps, 2nd edition will teach you to code applications, and demonstrates every aspect of the C# language you will need to produce professional programming results. Its examples provide clear syntax-highlighted code showing C# language basics including variables, arrays, logic, looping, methods, and classes. C# Programming in easy steps, 2nd edition begins by explaining how to install the free Visual Studio Community Edition, to create an environment in which you can quickly begin to create your own executable programs by copying the book's examples. It demonstrates all the C# language basics before moving on to provide examples of Object Oriented Programming. The book concludes by demonstrating how you can use your acquired knowledge to create graphic programs for traditional PC Desktop apps, and also as Universal apps for multiple devices. C# Programming in easy steps, 2nd edition has an easy-to-follow style that will appeal to: · Anyone who wants to begin programming in C# · The programmer who quickly wants to add C# to their skills set · The hobbyist who wants to begin creating apps for their own computer · The student, and to those seeking a career in computing, who need a fundamental understanding of C# programming Updated for Visual Studio 2019 Table of contents: 1. Getting started 2. Storing values 3. Performing operations 4. Making statements 5. Devising methods 6. Handling strings 7. Accessing files 8. Solving problems 9. Creating objects 10. Controlling events 11. Building an application 12. Targeting devices
SIMPL (Synchronous Interprocess Messaging Project for Linux) is discussed at many different levels. At its most fundamental, SIMPL is a set of library functions which allow the passing of encapsulated messages between cooperating processes. On another level, SIMPL is an active open source project which began over a decade ago. Over the years this project has accumulated an extensive body of sample code and extensions. SIMPL is also a great way to design software applications where complexity is encapsulated in separate, easily testable, readily extendable modules. The current state of software development is compared to the hardware world before the advent of integrated circuit chips. The term softwareIC is coined to describe the software equivalent of the integrated circuit. The SIMPL toolkit, along with tokenized messaging and the SIMPL testing framework is shown to be a great way to build these softwareICs. Several are illustrated throughout the book.
An introduction to the programming language helps readers create computer games and animations.
Coding for Beginners in easy steps, 2nd edition will appeal to anyone, of any age, who wants to begin coding computer programs. Use this guide to help you quickly create a programming environment on your computer, then, in easy steps, learn how to: · Write Python code to create your programs · Store information in data structures · Control program flow using control structures · Create re-usable blocks of program code · Code powerful algorithms and classes for Object Oriented Programming (OOP) All features are illustrated using the Python language color-coding convention, and all code is available to download free – making it even easier! Includes comparison examples in C, C++ and Java to give you a rounded view of computer coding. Ideal for newcomers to programming, including youngsters needing to learn coding for the school curriculum – all in easy steps! Table of Contents 1. Getting Started 2. Saving Data 3. Performing Operations 4. Making Lists 5. Controlling Blocks 6. Creating Functions 7. Sorting Algorithms 8. Importing Libraries 9. Managing Text 10. Programming Objects 11. Building Interfaces 12. Developing Apps 13. Transferring Skills
The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.