Technology Programming

"Information Technology & Programming for Everyone" is a comprehensive guide that demystifies the intricacies of the digital realm, equipping readers with essential knowledge and skills to navigate the dynamic landscape of information technology and programming. In this thoughtfully crafted book, readers will embark on a journey that seamlessly blends theory with practical application. Happy Reading!

In this book, which is part 1 in the series of "PLC Programming & Implementation," I teach you the practical aspect of PLC programming and industrial applications of PLCs. The book is very straightforward and easy-to-read. In this book, I present the principles of PLCs while not tying myself to one manufacturer or another. I included in this book extensive examples and chapter-ending problems that utilize several popular PLCs, highlighting understanding of fundamentals that can be used regardless of manufacturer. This book will help you to understand the main design characteristics, ...

How can we apply technology to drive business value? For years we've been told that the performance of software delivery teams doesn't matter - that it can't provide a competitive advantage to our companies. Through four years of groundbreaking research to include data collected from the State of DevOps reports conducted with Puppet, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance - and what drives it - using rigorous statistical methods.

Functional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. The audiobook guides listeners from basic techniques to advanced topics in a logical, concise, and clear progression. In it, you'll find concrete examples and exercises that open up the world of functional programming.

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.

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.

You're spending hours wrestling with Claude—rewriting prompts, copying outputs, watching tutorials that were outdated before you finished them—and you still can't figure out how to make AI do anything that actually matters for your bottom line. Meanwhile, someone with half your skills just automated their entire workflow, launched a side income stream, and did it all with the same tool sitting open in your browser right now. The difference wasn't talent. It was knowing how to talk to Claude like a professional instead of guessing like a tourist.

Abyssal Archive features the most comprehensive fan analysis of the Dark Souls mythos ever undertaken. We set out to pay tribute to Miyazaki's legendary game by crafting something that embodies the same care and attention to detail that makes Dark Souls itself such a peerless work of art.

Looking to learn Python? Python has gone to be one of the most popular programming languages in the world, and you will be one of the few people left out if you don’t add this knowledge to your arsenal. This audiobook makes learning Python simple, fast, and easy, taking away the confusion from learning a new language. It will teach you all the basics of Python, and even some of the more advanced Python concepts, taking you from beginner to intermediate Python programmer.

＼これはやったほうがいい！／ ★ひろゆき氏注目!!「Geminiが使えれば中学生でもアプリが作れる時代です。」 本を開いた1ページ目で、アイデアがアプリになる！ コードを1文字も書かずに、AIにお願いしてアプリを育てる！

This is the complete history of the synthesizer—from electromagnetic experiments in the 1870s to the software and hardware you use today. You'll discover how these instruments evolved from room-sized laboratory equipment to portable analog classics to digital dominance to the software revolution to the analog revival happening right now. Every major instrument, every breakthrough, every paradigm shift that shaped how electronic music gets made. You'll understand why the Minimoog became legendary, how the Prophet-5 changed everything with patch memory, why the DX7 killed analog synthesis ...

Steven Levy's classic book traces the exploits of the computer revolution's original hackers - those brilliant and eccentric nerds from the late 1950s through the early '80s who took risks, bent the rules, and pushed the world in a radical new direction. With updated material from noteworthy hackers such as Bill Gates, Mark Zuckerberg, Richard Stallman, and Steve Wozniak, Hackers is a fascinating story that begins in early computer research labs and leads to the first home computers.

At most technology companies, you'll reach Senior software engineer, the career level for software engineers, in five to eight years. At the career level, your company's career ladder won't require that you work towards the next promotion; being promoted further is an exception rather than expected. This is also when many engineers are first given an opportunity to move into engineering management.

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.

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.

The Journey of Programming and Its Pioneers: From the Birth of Code to the Rise of AI In We, Programmers, software legend Robert C. Martin--"Uncle Bob"--dives deep into the world of programming, exploring the lives of the groundbreaking pioneers who built the foundation of modern computing. From Charles Babbage and Ada Lovelace to Alan Turing, Grace Hopper, and Dennis Ritchie, Martin shines a light on the figures whose brilliance and perseverance changed the world.

This program is read by the author. An insider's account of Apple's creative process during the golden years of Steve Jobs. Hundreds of millions of people use Apple products every day; several thousand work on Apple's campus in Cupertino, California; but only a handful sit at the drawing board...

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.

TDD should make you faster, but too often it turns into friction, rework, and ceremony. Lean TDD cuts through the noise and shows you how to use testing in a way that helps you ship better software, catch bugs earlier, and change code with confidence. This book reviews the major interpretations of TDD, including classical TDD, mockist TDD, Canon TDD, BDD, and ATDD, and separates the ideas that create real value from the ones that just add process.

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.