How do computers know what you want them to do? They receive instructions called code with the specific steps needed to perform a task. Learn how to create codes, what happens when instructions are out of order, and how mistakes are fixed. Once you know the basics, use the link in this book to go online and try coding yourself!
Algorithms and Bugs are key components in the new computing curriculum. We look at how algorithms are used to give computers instructions, how they are set up, how they can be changed and adapted. We also look at how computers make decisions using IF statements and how we can predict outcomes. Lastly, where would we be without debugging! This simple way to work through your algorithms and catch the bugs, or problems, is a key skill for computer programmers - young and old! Throughout the book there are practical activities to assist learning, and links to online activities where they can practise newly learned skills. Algorithms and Bugs supports the key stage 1 computing curriculum points: understand what algorithms are; how they are implemented as programs on digital devices; and that programs execute by following precise and unambiguous instructions; create and debug simple programs. Kids Get Coding is a fantastic, hands on resource for anyone looking to get started with coding. The four titles cover key areas of the computing curriculum with simple text and fun activities. Each title contains practical on- and off-line activities that are easy to follow and fun to try on your own or with friends. Guiding young coders through each title is the Data Duck - a computer-programming mastermind here to help with hints and tips! The Kids Get Coding series is written by Heather Lyons and Elizabeth Tweedale of blue{shift} - a company dedicated to teaching children to become active creators of technology. Alex Westgate's bright illustrations bring wonder and fun to this exciting new topic.
Boost your coding output and accuracy with artificial intelligence tools Coding with AI For Dummies introduces you to the many ways that artificial intelligence can make your life as a coder easier. Even if you’re brand new to using AI, this book will show you around the new tools that can produce, examine, and fix code for you. With AI, you can automate processes like code documentation, debugging, updating, and optimization. The time saved thanks to AI lets you focus on the core development tasks that make you even more valuable. Learn the secrets behind coding assistant platforms and get step-by-step instructions on how to implement them to make coding a smoother process. Thanks to AI and this Dummies guide, you’ll be coding faster and better in no time. Discover all the core coding tasks boosted by artificial intelligence Meet the top AI coding assistance platforms currently on the market Learn how to generate documentation with AI and use AI to keep your code up to date Use predictive tools to help speed up the coding process and eliminate bugs This is a great Dummies guide for new and experienced programmers alike. Get started with AI coding and expand your programming toolkit with Coding with AI For Dummies.
This book explores the latest developments, methods, approaches, and applications of coding theory in a wide variety of fields and endeavors. It consists of seven chapters that address such topics as applications of coding theory in networking and cryptography, wireless sensor nodes in wireless body area networks, the construction of linear codes, and more.
The huge proliferation of security vulnerability exploits, worms, and viruses place an incredible drain on both cost and confidence for manufacturers and consumers. The release of trustworthy code requires a specific set of skills and techniques, but this information is often dispersed and decentralized, encrypted in its own jargon and terminology,
Get best-in-class engineering practices to help you write more-robust, bug-free code. Two Microsoft .NET development experts share real-world examples and proven methods for optimizing the software development life cycle—from avoiding costly programming pitfalls to making your development team more efficient. Managed code developers at all levels will find design, prototyping, implementation, debugging, and testing tips to boost the quality of their code—today. Optimize each stage of the development process—from design to testing—and produce higher-quality applications. Use metaprogramming to reduce code complexity, while increasing flexibility and maintainability Treat performance as a feature—and manage it throughout the development life cycle Apply best practices for application scalability Employ preventative security measures to ward off malicious attacks Practice defensive programming to catch bugs before run time Incorporate automated builds, code analysis, and testing into the daily engineering process Implement better source-control management and check-in procedures Establish a quality-driven, milestone-based project rhythm—and improve your results!