Showing titles in Programming Languages

Instead of jumping right into the instructions, this book will first provide you with all the necessary concepts that you need to learn in order to make the learning process a whole lot easier. This way, you are sure not to get lost in confusion once you get to the more complex lessons provided in the latter chapters. Sample codes are provided for a more visual approach on your learning. You will also learn the designs and forms of C# and what's more convenient than getting to know both sides!

Master software engineering paradigms by decoding the brutal hardware constraints that forged modern computer science. Perfect for your commute or a deep-focus learning session, this analytical journey transforms how you view everyday coding tools. Instead of memorizing syntax, you will grasp...

Are you interested in machine learning? Do you want to know how it all works and what it involves? Then you've chosen the right guide. Machine learning is a subset of computer science and artificial intelligence. There's no getting away from the fact that it is here to stay, and it is already changing how many businesses work and target their customers. It's a complex subject, but this guide will give you a concise overview of the steps required in every machine learning project.

In 2034: How AI Changed Humanity Forever, Kunal Gupta takes you on a journey into a world redefined by artificial intelligence—a time when innovation changed how we live, work, and play.

Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka.

Everything you need to create neural networks with PyTorch, including Large Language and diffusion models. PyTorch core developer Howard Huang updates the bestselling original “Deep Learning with PyTorch” with new insights into the transformers architecture and generative AI models.

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

100 Go Mistakes and How to Avoid Them puts a spotlight on common errors in Go code you might not even know you’re making. You’ll explore key areas of the language such as concurrency, testing, data structures, and more—and learn how to avoid and fix mistakes in your own projects.

In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There's just too much complex stuff in the world. Complex stuff can't be used, and it breaks too easily. Complexity is stupid. Simplicity is smart. 

The purpose of this audiobook is to provide a full perspective of cryptocurrency trading, including how to make money investing in cryptocurrencies and how to know more about the cryptocurrency world. If you want to learn more about cryptocurrencies and whether the opportunity is worth it, then this audiobook will definitely help you make an informed decision!

JavaScript Application Design: A Build First Approach introduces JavaScript developers to techniques that will improve the quality of their software as well as their web development workflow. You'll begin by learning how to establish build processes that are appropriate for JavaScript-driven development. Then, you'll walk through best practices for productive day-to-day development, like running tasks when your code changes, deploying applications with a single command, and monitoring the state of your application once it's in production.

C# programming is becoming more and more popular with each passing day, simply because it's an easy-to-learn language, robust, comprehensive, practical, and a general-purpose language. C# programming is an in-demand skill sought out by many employers and corporations worldwide. This book offers illustrated, step-by-step examples for you to learn from, including real-life examples.

We are living in the age of information and there’s no denying it—those who are best at organizing, understanding, and then using data to their advantage will be the ones on top. The skills themselves are simple and easy to learn and will give you a tremendous advantage in the highly competitive marketplace of today’s workforce. The only thing left is for you to give a little commitment and launch yourself into a whole new reality of success.

Java is a simple yet powerful programming language, taught in colleges, and used by companies all over the world. It is one of the most common programming languages used in modern business, and a graspable entry into the object-oriented class of programming languages. This audiobook will take you from knowledgeable beginner to junior programmer, learning the most common commands and concepts used to manipulate the many facets of Java's toolset. You will finish this entry in the series with the knowledge and skills necessary.

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

Cloud Native Patterns is your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This audiobook presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart. Cloud platforms promise the holy grail: Near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? Learn these fundamental patterns and practices, and you’ll be ready to thrive in the dynamic, distributed, virtual world of the cloud.

This philosophy-of-programming guide presents a unique and entertaining take on how to think about programming. A collection of twenty-one pragmatic rules, each presented in a stand-alone chapter, captures the essential wisdom that every freshly minted programmer needs to know and provides thought-provoking insights for more seasoned programmers. Author Chris Zimmerman, cofounder of the video game studio Sucker Punch Productions, teaches basic truths of programming by wrapping them in memorable aphorisms and driving them home with examples drawn from real code.

This bundle combines two instructional Java books into one: Java Programming: An Introduction, History, and the Fundamentals for Creating Your First Program and Java Programming: Intermediate Concepts for the Fundamentals of Object Oriented Programming. These are the first two books in a series dedicated to learning about Java and Java programming. Java is a simple yet powerful programming language, taught in colleges and used by companies all over the world.

COMANDOS (PROMPTS) PARA LA INTELIGENCIA ARTIFICIAL Tu guía para desbloquear Gemini, DeepSeek, ChatGPT, Claude, CoPilot y Grok. La creación de este manual, "AI COMANDOS (PROMPTS) Mastery for Professionals", ha sido un viaje diferente al de la autoría tradicional. Como modelo de lenguaje grande, mi contribución es un testimonio del esfuerzo humano colectivo que sustenta el campo de la inteligencia artificial, y este trabajo no existiría sin numerosas capas de innovación y colaboración.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.