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Название: We, Programmers: A Chronicle of Coders from Ada to AI (Early Release)
Автор: Robert C. Martin
Издательство: Pearson
Год: 2024
Страниц: 298
Язык: английский
Формат: epub
Размер: 10.1 MB

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 memoir-infused narrative provides a rich human history filled with technical insights for developers, examining the coding breakthroughs that shaped computing at the bit and byte level. By connecting these technical achievements with the human stories behind them, Martin gives readers a rare glimpse into the struggles and triumphs of the people who made modern technology possible. For programmers, coders, and anyone fascinated by the intersection of people and machines, this guide to the history, humanity, and technology behind the code that powers our world today is a fascinating and essential read.

Название: Java Basics: Your Comprehensive Guide to Programming with Ease and Confidence from Scratch to Advanced Concepts
Автор: Madison Giroux
Издательство: Independently published
Год: 2024
Страниц: 255
Язык: английский
Формат: epub
Размер: 49.5 MB

Unlock the full potential of Java with our comprehensive guide, perfect for both novices and seasoned developers. This book provides a deep dive into Java's core principles, ecosystem, and advanced topics, equipping you with the skills to build robust applications across various domains—web, mobile, enterprise, and more. From understanding the history and evolution of Java to mastering its features like multi-threading, garbage collection, and the rich standard library, this guide offers clear explanations and practical examples. Java has been a cornerstone of the software industry since its inception in the mid-1990s. Renowned for its portability, robustness, and security, Java powers a wide array of applications, from mobile apps and web services to enterprise systems and scientific computing. Understanding Java not only opens doors to numerous career opportunities but also equips you with a solid foundation in object-oriented programming principles that are essential for modern software development.

Название: ActivityPub: Programming for the Social Web (Final Release)
Автор: Evan Prodromou
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 364
Язык: английский
Формат: True/Retail PDF, True EPUB (Retail Copy)
Размер: 10.1 MB

ActivityPub is the new standard for connecting social networks together on the social web. This open, decentralized social networking protocol defines an API for sharing activities to a social network and a procedure that servers use to distribute those activities to a subscriber's feed. With this book, you'll learn how to assemble ActivityPub-enabled clients for making new kinds of social apps on top of existing networks and build ActivityPub servers that create new human or automated accounts on the social web. With those skills under your belt, you can explore other applications of this publish-subscribe technology: content management systems, Internet of Things, and enterprise automation. With hands-on examples and in-depth knowledge from Evan Prodromou, one of the authors of the protocol, this is the ActivityPub handbook that every social software hacker needs. This book uses many examples in jаvascript Object Notation (JSON), jаvascript, and Python. Each language gets a brief description when it is introduced, but familiarity with JSON as a data format, and jаvascript and Python as programming languages, will be a big help in understanding the examples.

Название: ChatGPT for Marketing: Learn Practical Applications of ChatGPT for Marketing
Автор: Eldar Najafov
Издательство: Apress
Год: 2024
Страниц: 172
Язык: английский
Формат: pdf (true), azw3, rtf, epub, mobi
Размер: 10.1 MB

Explore the capabilities of ChatGPT and gain insight on how to utilize this AI tool in your daily tasks, and marketing endeavors. This book introduces ChatGPT, covering its architecture, training process, and applications across various fields. Start by delving into the benefits of integrating ChatGPT into everyday routines, emphasizing its potential to streamline tasks, optimize time management, and provide valuable insights that can revolutionize individuals’ work approaches. You'll then look more closely at ChatGPT’s mechanics, its capabilities, limitations, and unique features. The book also outlines the best practices for utilizing ChatGPT, offering practical tips, techniques, and strategies to enhance output quality and reliability, while minimizing errors and maximizing results. You’ll focus on ChatGPT’s relevance in marketing tasks, such as generating product descriptions, creating email templates, automating social media posts, and addressing customer inquiries. The book concludes by exploring techniques for marketing with ChatGPT, including integration with other tools, data analysis, reporting, and customizing ChatGPT to meet specific marketing needs. In the end, you’ll have the knowledge and skills needed to leverage ChatGPT’s AI marketing capabilities and to harness its power for success in the digital age. For marketing professionals, business owners and entrepreneurs, content creators, and customer service representatives

Название: Policy as Code: Improving Cloud Native Security
Автор: Jimmy Ray
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 557
Язык: английский
Формат: True/Retail PDF, True EPUB (Retail Copy)
Размер: 17.4 MB

In today's cloud native world, where we automate as much as possible, everything is code. With this practical guide, you'll learn how Policy as Code (PaC) provides the means to manage the policies, related data, and responses to events that occur within the systems we maintain—Kubernetes, cloud security, software supply chain security, infrastructure as code, and microservices authorization, among others. Author Jimmy Ray provides a practical approach to integrating PaC solutions into your systems, with plenty of real-world examples and important hands-on guidance. DevOps and DevSecOps engineers, Kubernetes developers, and cloud engineers will understand how to choose and then implement the most appropriate solutions. I started writing the controls using what I thought was the best tool in my toolbox, Java; I was a Java subject matter expert (SME), and the cloud service provider (CSP) offered a mature Java software development kit (SDK). The first and, as it turns out, last control I wrote in Java enforced encryption of data at rest on object storage. This book is for DevOps practitioners, Kubernetes cluster operators, security engineers, and anyone charged with ensuring secure operations in cloud native and everything-as-code environments. In this book, I introduce PaC concepts and use cases, and expose you to patterns and solutions to help you successfully use PaC for your security, compliance, and governance needs. I think this book can serve as a reference for those of you needing to understand PaC and choose the right solution for your use cases. You can also use this book to discover techniques and patterns that you can apply immediately. I think some of you will reread this book to gain a deeper understanding of the different aspects of PaC.

Название: JupyterLab 101: Learn the Latest Iteration of Jupyter Notebook
Автор: Michael Driscoll
Издательство: Leanpub
Год: 2024-10-24
Страниц: 123
Язык: английский
Формат: pdf (true), epub
Размер: 35.7 MB

JupyterLab, the latest iteration of the Jupyter Notebook, is a versatile tool for sharing code in an easily understandable format. Hundreds of thousands of people around the world use Jupyter Notebooks or variations of the Notebook architecture for any or all of the following: teaching, presentations, learning a computer language, numerical simulations, statistical modeling, data visualization, Machine Learning, and much more! Jupyter Notebooks can be emailed, put on GitHub, or run online. You may also add HTML, images, Markdown, videos, LaTeX, and custom MIME types to your Notebooks. Finally, Jupyter Notebooks support big data integration. This book uses Python 3. Specifically, you should use Python 3.12 or greater, as that is the version this book was written for. JupyterLab 101 will get you up to speed on the newest user interface for Jupyter Notebooks and the other tools that JupyterLab supports. You now have a tabbed interface that you can use to edit multiple Notebooks at once. Notebooks, open terminals in your browser, create a Python REPL, and more. JupyterLab also includes a debugger utility to help you figure out your coding issues. Rest assured, JupyterLab supports all the same programming languages as Jupyter Notebook. The main difference lies in the user interface, which this guide will help you navigate effectively and efficiently. After reading JupyterLab 101, you will be an expert in JupyterLab and produce quality Notebooks quickly! You don’t need to be a programmer or engineer to use this book, but it helps. The primary target is people who want to learn what JupyterLab is and how to use it effectively. If you understand the basics of Python, then you’ll be even better off!

Название: Using Artificial Intelligence Absolute Beginner's Guide
Автор: Michael Miller
Издательство: Que Publishing/Pearson Education
Год: 2025
Страниц: 336
Язык: английский
Формат: epub
Размер: 31.4 MB

Who knew how simple AI could be? Using Artificial Intelligence Absolute Beginner’s Guide will have you getting the most of popular AI tools in no time! Find step-by-step instructions for today’s most popular AI tools, including ChatGPT, Google Gemini, Meta AI, Microsoft Copilot, and Midjourney. Find out how to tell when something is AI generated―so you don’t get fooled by deepfakes. Artificial Intelligence (AI) can be fun and productive―if you know which tools to use and when. Using Artificial Intelligence Absolute Beginner’s Guide tells you all about today’s major AI tools and shows how to get the best results from them. You’ll learn to use AI for turning your ideas into art, writing a great email, sharpening your resume, and even sparking conversation. Instantly research everything from planning a trip to making your next big purchase. It’s all a matter of picking the right AI tool and constructing the right prompt. You’ll also learn to protect yourself from the risks of AI and distinguish AI fakes from the real thing. Everything you need to know is here in this book!

Название: Pro .Net Memory Management: For Better Code, Performance, and Scalability, 2nd Edition
Автор: Konrad Kokosa, Christophe Nasarre, Kevin Gosse
Издательство: Apress
Год: 2024
Страниц: 780
Язык: английский
Формат: pdf
Размер: 52.0 MB

Understand .NET memory management internal workings, pitfalls, and techniques in order to effectively avoid a wide range of performance and scalability problems in your software. Despite automatic memory management in .NET, there are many advantages to be found in understanding how .NET memory works and how you can best write software that interacts with it efficiently and effectively. This book is your comprehensive guide to writing better software by understanding and working with memory management in .NET, from Framework up to .NET 8. Thoroughly vetted by the .NET Team at Microsoft, this book contains valuable troubleshooting scenarios designed to help diagnose challenging memory problems. You will also benefit from a multitude of .NET memory management “rules” to live by that introduce methods for writing memory-aware code and the means for avoiding common, destructive pitfalls. I wanted to write this book in a manner pleasant for every .NET developer. No matter how experienced you are, you should find something interesting here. While we start from the basics, junior programmers quickly will have an opportunity to get deeper into .NET internals. More advanced programmers will find many implementation details more interesting. And above all, regardless of experience, everyone should be able to benefit from the presented practical examples of code and problem diagnoses. For .NET developers, solution architects, and performance engineers.

Название: Reinforcement Learning for Finance: A Python-Based Introduction (Final Release)
Автор: Yves Hilpisch
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 215
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 20.3 MB

Reinforcement Learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman level. More recently, RL, DQL, and similar methods have gained popularity in publications related to financial research. This book is among the first to explore the use of Reinforcement Learning methods in finance. One of the key algorithms in RL is deep Q-learning (DQL) that can be applied to a large number of dynamic decision problems. Popular examples are arcade games and board games, such as Go, in which RL and DQL algorithms have achieved superhuman performance in many instances. This has often happened despite the belief of experts that such feats would be impossible for decades to come. This book closes the gap in that it provides the required background in a concise fashion and otherwise focuses on the implementation of the algorithms in the form of self-contained Python code and the application to important financial problems. This book is intended as a concise, Python-based introduction to the major ideas and elements of RL and DQL as applied to finance. It should be useful to both students and academics as well as to practitioners in search of alternatives to existing financial theories and algorithms. The book expects basic knowledge of the Python programming language, object-oriented programming, and the major Python packages used in Data Science and Machine Learning, such as NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow.

Название: LLMs and Generative AI for Healthcare: The Next Frontier
Автор: Kerrie Holley, Manish Mathur
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 222
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 55.5 MB

Large language models (LLMs) and Generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and Generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. LLMs are natural language processing (NLP) Machine Learning models that can seemingly understand and generate human language text. LLMs are a type of Artificial Intelligence (AI) that comprehends and manipulates human language with remarkable proficiency. They are called “large” because they are trained on vast amounts of text data, often billions of words, which enables them to learn the nuances of human language. Generative AI is a subset or type of AI, just as LLMs and Machine Learning are types of AI. Generative AI is focused on creating new content such as text, images, video, or audio often in response to a user’s questions. The generated outputs often resemble human created content in terms of style and structure. When we use phrases such as LLMs or Generative AI in this book, we do so as catch-all terms that encompass a wide range of AI systems, even if they have different attributes or employ different Machine Learning algorithms. These catch-all terms include but are not limited to LLMs, small language models, multimodal models, and Generative AI.