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Название: Software Security for Developers (MEAP 7)
Автор: Adib Saikali, Laurențiu Spilcă
Издательство: Manning Publications
Год: 2025
Страниц: 526
Язык: английский
Формат: pdf, epub
Размер: 41.9 MB

Cloud applications have special security requirements and concerns. This book demonstrates effective real-world practices to keep your cloud and Kubernetes-deployed applications safe and sound. Software Security for Developers is a hands-on guide for working developers. It minimizes the abstract and complex security theory, instead focusing on the practices you need to secure applications running on Kubernetes and the cloud. In it, you’ll learn how to take advantage of pre-built security services in your daily development. Author Adib Saikali takes a developer-to-developer approach, sharing hard-won lessons from many years securing software in real-world environments. Easy-to-follow sample applications written in Java take you hands-on with security standards and protocols, turning complex concepts into practical solutions. For intermediate Java developers ready to up their security skills.

Название: Secrets of the jаvascript Ninja, Third Edition (MEAP 9)
Автор: Trevor Burnham, Bear Bibeault, Josip Maras, John Resig
Издательство: Manning Publications
Год: 2025
Страниц: 254
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

The secrets of modern web development using jаvascript and TypeScript! If you’re serious about web development, you need to be ninja-stealthy, efficient, and ready for anything! Secrets of the jаvascript Ninja, Third Edition will turn you into a killer jаvascript coder. In it, you’ll learn techniques for writing efficient code, applications, and libraries that you can apply to any jаvascript or TypeScript project. From websites to servers, mobile apps to enterprise software, jаvascript is everywhere. Secrets of the jаvascript Ninja has trained thousands of developers in the art of creating robust and performant jаvascript applications for almost any domain. Now back for its third edition, this new version of the acclaimed bestseller contains fresh coverage of TypeScript, web frameworks like React, as well as game-changing tools like ESLint. You don't have to be a ninja to read this book—just willing to become one.

Название: Introduction to Generative AI, Second Edition (MEAP 5)
Автор: Numa Dhamani, Maggie Engler
Издательство: Manning Publications
Год: 2025
Страниц: 494
Язык: английский
Формат: pdf, epub
Размер: 23.6 MB

Get up to speed quickly with Generative AI! AI tools like ChatGPT and Gemini, automated coding tools like Cursor and Copilot, and countless LLM-powered agents have become a part of daily life. They’ve also spawned a storm of misinformation, hype, and doomsaying that makes it tough to understand exactly what Generative AI actually is and what it can really do. Introduction to Generative AI, Second Edition delivers a clearly-written survey of generative AI fundamentals along with the techniques and strategies you need to use AI safely and effectively. Introduction to Generative AI, Second Edition is an up-to-date guide to the capabilities, risks, and limitations of tools like ChatGPT, Gemini, and Claude. This easy-to-follow guide moves quickly through the basics, giving you the skills and understanding to use AI with confidence. Along the way, you’ll explore how AI is impacting even established industries, with an expert-level look at global investment in AI, AI education policy, AI’s economic impact, and the ongoing legal and ethical issues of AI usage. For anyone interested in Generative AI. No technical experience required.

Название: Building Reliable AI Systems (MEAP 10)
Автор: Rush Shahani
Издательство: Manning Publications
Год: 2025
Страниц: 416
Язык: английский
Формат: pdf, epub
Размер: 17.9 MB

Tested strategies to reduce hallucinations, improve performance and cost efficiency, and reduce bias or unethical behavior in your LLMs outputs. Building Reliable AI Systems shows you exactly how to guide large language models from research prototypes to scalable, robust, and efficient production systems. From model training to maintenance, an engineer will find everything they need to work with LLMs in this one-stop guide. This book complements Sebastian Raschka’s Build a Large Language Model (From Scratch), which takes a hands-on, ground-up approach to constructing LLMs. While Raschka’s book focuses on building models from scratch, Building Reliable AI Systems centers on deploying, optimizing, and maintaining reliable, production-grade AI systems. This book is written for developers, engineers, and data scientists who are ready to take their knowledge of Large Language Models (LLMs) beyond theory and into real-world, production-level applications. To get the most out of this book, it helps if you have a basic understanding of Python programming and some familiarity with LLMs like OpenAI and Claude.

Название: Build an AI Agent (From Scratch) (MEAP 1)
Автор: Jungjun Hur, Younghee Song
Издательство: Manning Publications
Год: 2025
Страниц: 123
Язык: английский
Формат: pdf, epub, mabi
Размер: 10.1 MB

Build a working AI agent that can reason, plan, and execute multi-step tasks! LLM-powered AI agents are the next leap in applied AI, capable of reasoning and collaboration to achieve even complex, multi-step goals. Using new protocols like MCP and A2A, agents can use software tools, retrieve relevant knowledge, and adapt to feedback. This book guides you step by step in creating an AI agent from the ground up, with clear, detailed explanations you can follow to build your own custom assistants! Build an AI Agent (From Scratch) is a step-by-step guide to creating a working AI agent, starting with the bare essentials and growing your AI into a full-featured, real-world system. Along the way, you will work through production-grade code snippets, full prompts and configs, and “make it better” exercises that encourage you to extend and improve your system. By the final chapter, you will have built an end-to-end AI agent that you can use as a foundation for your own projects. For Python developers and AI practitioners. All examples run on a standard laptop.

Название: Data Pipelines with Apache Airflow, Second Edition (MEAP 17)
Автор: Julian de Ruiter, Ismael Cabral, Kris Geusebroek, Daniel van der Ende, Bas Harenslak
Издательство: Manning Publications
Год: 2025
Страниц: 209
Язык: английский
Формат: pdf, epub
Размер: 19.3 MB

Simplify, streamline, and scale your data operations with data pipelines built on Apache Airflow. Apache Airflow provides a batteries-included platform for designing, implementing, and monitoring data pipelines. Building pipelines on Airflow eliminates the need for patchwork stacks and homegrown processes, adding security and consistency to the process. Now in its second edition, Data Pipelines with Apache Airflow teaches you to harness this powerful platform to simplify and automate your data pipelines, reduce operational overhead, and seamlessly integrate all the technologies in your stack. Data Pipelines with Apache Airflow, Second Edition teaches you how to build and maintain effective data pipelines. You'll explore common Airflow usage patterns, including aggregating multiple data sources and connecting to data lakes, while discovering exciting new features such as dynamic scheduling, the Taskflow API, and Kubernetes deployments. For DevOps, data engineers, Machine Learning engineers, and sysadmins with intermediate Python skills.

Название: Grokking AI Algorithms, Second Edition (MEAP 1)
Автор: Rishal Hurbans
Издательство: Manning Publications
Год: 2025
Страниц: 851
Язык: английский
Формат: epub
Размер: 42.2 MB

Understand the algorithms that underpin AI, from classic to cutting-edge. Artificial Intelligence algorithms are the backbone of search and optimization, Deep Learning, reinforcement learning, and, of course, Generative AI. Grokking AI Algorithms, Second Edition introduces the most important AI algorithms using relatable illustrations, interesting examples, and thought-provoking exercises. Written in simple language and with lots of visual references and hands-on code examples, it helps you build a natural intuition into how intelligent systems learn, plan, and adapt. This second edition has been thoroughly revised, with new chapters on large language models, image generation, and more. Readers need beginning to intermediate programming skills and high school level mathematics. No AI experience required.

Название: Python for Advanced Developers: Master Python with a Professional Approach - Part 2
Автор: Walter Oliveira
Издательство: Independently published
Год: 2025
Страниц: 777
Язык: английский
Формат: epub (true)
Размер: 22.1 MB

The book is a comprehensive and in-depth guide for developers who already have experience in Python and wish to enhance their technical and strategic skills in the language. It introduces advanced concepts and modern techniques that broaden the reader's horizons in using Python to create robust, scalable, and high-performance solutions. Starting from the advanced fundamentals of the language, the book delves into rarely discussed nuances such as generators, metaprogramming, decorators, and the internal workings of the interpreter, providing a more solid and detailed understanding. By exploring design patterns and software architecture, the text covers classic patterns and their specific adaptations for Python, as well as discussing best practices for code organization, responsibility separation, and modularity in complex systems. Asynchronous and concurrent programming is addressed with a focus on asyncio, exploring its practical application in modern scenarios and offering comparisons with other concurrency approaches, such as threads and multiprocessing.

Название: Essential Python for the Physicist, 2nd Edition
Автор: Giovanni Moruzzi
Издательство: Springer
Год: 2025
Страниц: 388
Язык: английский
Формат: pdf (true), epub
Размер: 60.6 MB

This second edition introduces Python programming to readers with little or no prior experience, specifically tailored for physicists and natural sciences students. The book begins with interactive Python exercises to foster familiarity with the language. It then progresses to more complex Python scripts (programs) that readers are encouraged to run on their own computers. Each program listing is thoroughly explained, and readers are encouraged to experiment by modifying code lines or blocks to observe and understand their effects. The text introduces Matplotlib graphics for creating figures representing data, function plots, and visualizations like field lines and equipotential surfaces. It also explores 3D graphics and animated function plots. A dedicated chapter covers the numerical solution of algebraic and transcendental equations. Two chapters are dedicated to Tkinter graphics, which gives the user more freedom than Matplotlib, and to Tkinter animation.

Название: Machine Learning in Business Finance Using Python
Автор: Kian Guan Lim
Издательство: World Scientific Publishing
Год: 2026
Страниц: 315
Язык: английский
Формат: pdf (true)
Размер: 19.7 MB

This book is an introduction to Machine Learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own. Several of Python’s open-source libraries or packages are commonly used, e.g., Pandas, Numpy, math, Matplotlib, Scikit-Learn (Sklearn), SciPy, Keras, TensorFlow, etc.