Computer Language

Even if you are a complete newbie in the field of computer programming, that’s perfectly fine. By starting out with a beginner’s guide, everything will be thoroughly explained for you to eliminate any confusion you may have along the way. Not only is this considerably cheaper than enrolling in an online course or attending college lecture but it also allows for flexibility in your tight schedule so you don’t have to worry about deadlines or being thrown out of class for too many absences.

Newly updated for 2024! Want to learn how to code in less than a day? This book was designed for absolute beginners – you don’t need any prior experience or knowledge. Written by the Co-Founders of The Tech Academy (www.learncodinganywhere.com), it serves as a perfect introduction to computer programming for anyone. This book utilizes Python, one of the most popular programming languages in the world. Learn Coding Basics in Hours with Python is easy and simple, and it can be completed fast. The Tech Academy is a technology school that specializes in coding bootcamps. You can enroll ...

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. With this book, listeners will learn practical tools and concepts they need to use these capabilities today.

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

Introducing "Navigating Computer Systems Architecture": Your all-in-one comprehensive guide to the fascinating world of computer systems architecture! Are you ready to embark on a captivating journey through the intricate mechanisms that power the digital devices we use every day? This insightful eBook is your ultimate resource to mastering the essential concepts that shape the world of computing today. From the industry's time-tested principles to today's cutting-edge breakthroughs, "Navigating Computer Systems Architecture" provides you with a spectacular bird's-eye view of the entire ...

Curious about AI, but unsure how it works? Want to tap into the lucrative potential of this rapidly advancing technology? Unlock the immense potential of AI with this transformative book! Welcome to Fundamentals of Artificial Intelligence & Large Language Models, the second in a series of books crafted to help you join a movement toward a more financially fruitful future.

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

Python is one of the easiest coding languages to master because it bases itself on the English language. Intuitive and simple, anyone can get started with programming in Python, almost overnight! It can even jumpstart your hobby or career in tech, taking you places you never thought you could go. And this is where this book comes into play… it’s your launchpad into the phenomenal world of Python programming.

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.

In this comprehensive guide to C programming, readers embark on a journey that starts with the basics and advances to the most sophisticated applications of C. Authored by the writer of numerous number 1 titles, J.J.F. Reibel, this book meticulously explores the language’s most powerful features while emphasizing the crucial role C has played—and continues to play—in powering technology since the late 20th century.

Discover How Mathematics Powers the World of AI! Are you fascinated by the science behind AI? Do you want to understand the mathematics driving today’s most innovative technologies? “How Math Shaped the AI” provides the step-by-step guidance you need to unravel the mathematical principles behind artificial intelligence and machine learning. Do you find advanced math concepts intimidating? Are you searching for a clear, approachable resource to deepen your AI knowledge? Overcome Your Struggles with AI Mathematics – We've Been There! We understand how challenging it can be to grasp ...

James Gleick, the author of the best sellers Chaos and Genius, now brings us a work just as astonishing and masterly: a revelatory chronicle and meditation that shows how information has become the modern era’s defining quality—the blood, the fuel, the vital principle of our world. The...

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.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

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.

Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.