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For beginners eager to dive into the world of coding, “Code with Confidence—Beginners” is the perfect primer. This book demystifies programming jargon, breaking down concepts into digestible pieces, making it an ideal listen for anyone. Start your journey with a guide that makes learning both engaging and manageable. Don’t just code—develop a coder’s mindset.

The Art of Code: Exploring the World of Programming Languages is a captivating journey into the realm of computer programming, where logic and creativity intersect to bring technology to life. In this immersive and enlightening book, listeners will embark on an adventure that demystifies the intricacies of programming languages and unveils the artistry behind crafting elegant and efficient code.

Learn Python fundamentals that can be used in any programming setting—use the guidance in this book to program your own game in a unique and practical Python learning experience. In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals.

This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js.

Discover the world of Language Learning Models (LLMs) and chatbot development with this comprehensive guide. Designed for learners of all levels, this book provides a step-by-step approach to understanding, creating, and deploying LLM chatbots. Starting with the fundamentals, it explores the intricacies of natural language processing and machine learning, enabling you to grasp how chatbots comprehend and generate human-like language.

Modern society relies heavily on software-based automation, implicitly trusting developers to write software that operates in the expected way and cannot be compromised for malicious purposes. While developers often perform rigorous testing to prepare the logic in software for surprising conditions, exploitable software vulnerabilities are still frequently based on memory issues. Examples include overflowing a memory buffer and leveraging issues with how software allocates and de-allocates memory.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

Java ist eine der populärsten Programmiersprachen überhaupt. Lerne in diesem Hörbuch die Sprache Java und die Konzepte der objektorientierten Programmierung kennen, egal ob bei der Autofahrt, beim Putzen oder Kochen. Wir beginnen mit den Grundlagen übers Programmieren im Allgemeinen. Ein Vorwissen in einer Programmiersprache ist zwar hilfreich, aber absolut nicht notwendig. Du lernst, was Variablen, Schleifen, Klassen und Methoden sind und wie du sie verwendest.

According to HackerRank, Java is now the third most in-demand language that hiring managers look for. And with US Java developers now earning upwards of $105,000 on average, based on data from Indeed…you can rest assured that learning Java will pay off in more ways than one.

As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You'll find new chapters on SQL and big data, analytic functions, and working with very large databases.

The Well-Grounded Java Developer, Second Edition introduces both the modern innovations and timeless fundamentals you need to know to become a Java master. Authors Ben Evans, Martijn Verburg, and Jason Clark distill their decades of experience as Java Champions, veteran developers, and key contributors to the Java ecosystem into this clear and practical audioguide. You’ll discover how Java works under the hood and learn design secrets from Java’s long history.

Are you looking to get started with Python and machine learning? Look no further! This comprehensive two-in-one bundle is the perfect audio resource for beginners looking to learn both Python and machine learning in one easy guide. With this audiobook, you'll be able to grasp the basic fundamentals of Python and learn how to use it to solve real-world problems. You'll also get a crash course in machine learning including key concepts, algorithms, and techniques.

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.

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.

David's unique and engaging approach to teaching HTML and CSS principles means that listeners are ready to start designing from the very first chapter without enduring an avalanche of boring jargon or dry technobabble.

Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you’ll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP.

Blazor in Action is a practical guide to building stunning UIs and client-side applications using C# and .NET. You’ll use the Blazor frontend framework to create a fun and exciting web application for plotting hiking routes. As you build up your new application, you’ll master the key features of Blazor, such as routing, forms and validation, and dynamic and reusable components. By the time you're done, you'll be ready to develop beautiful sites and apps that seamlessly execute your C# code natively in the browser.

Discover valuable machine learning techniques you can understand and apply using just high school math. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.

Machine learning is fast becoming an important technique used by multiple industries, and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved. Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination. In this book, I provide you with an overview of machine learning and some practical work to get your hands dirty.

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.