Название: Spatial Data Analysis With R
Автор: Danlin Yu
Издательство: Sage
Год: 2026
Страниц: 416
Язык: английский
Формат: pdf (true), epub
Размер: 29.6 MB

This is an introduction for social science students to the growing field of spatial data analysis using the R platform. The text assumes no prior knowledge of either, beyond the contents of an introductory statistics course. It uses the open-source software R, and relevant spatial data analysis packages, to provide practical guidance of how to conduct spatial data analysis with readers′ own data sets. The book first briefly introduces students to R, covers some basic concepts in statistical data analysis, and then focuses on discussing the central ideas of spatial data analysis. All the discussions are supported with R scripts so that students can work on their own and produce results that the book helps interpret. Each chapter ends with review questions to test understanding. The book is suited for upper-level undergraduate social science students and graduate students, and other social scientists who are interested in analyzing their spatial data with R.

Название: Privacy and Security for Large Language Models: Hands-On Privacy-Preserving Techniques for Personalized AI (Final Release)
Автор: Baihan Lin
Издательство: O’Reilly Media, Inc.
Год: 2026
Страниц: 318
Язык: английский
Формат: True PDF, True EPUB
Размер: 12.99 MB

As the deployment of AI technologies surges, the need to safeguard privacy and security in the use of large language models (LLMs) is more crucial than ever. Professionals face the challenge of leveraging the immense power of LLMs for personalized applications while ensuring stringent data privacy and security. The stakes are high, as privacy breaches and data leaks can lead to significant reputational and financial repercussions. This book serves as a much-needed guide to addressing these pressing concerns. Dr. Baihan Lin offers a comprehensive exploration of privacy-preserving and security techniques like differential privacy, federated learning, and homomorphic encryption, applied specifically to LLMs. I assume you have intermediate to advanced expertise in Machine Learning, familiarity with Python programming, and a working knowledge of deep learning frameworks. More importantly, I assume you’re grappling with the practical challenges of responsible AI deployment, the challenges that textbooks often gloss over but that practitioners face every day.

Название: An Introduction to Data Science With Python
Автор: Jeffrey S. Saltz, Jeffrey M. Stanton
Издательство: Sage
Год: 2025
Страниц: 307
Язык: английский
Формат: pdf (true), epub
Размер: 36.6 MB

An Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and Data Science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of Data Science, the book builds on these foundations to explain Data Science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building Machine Learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and Deep Learning, the basis of many recent and startling advances in Machine Learning and Artificial Intelligence (AI).

Название: Fabulous Adventures in Data Structures and Algorithms (MEAP v3)
Автор: Eric Lippert
Издательство: Manning Publications
Год: 2026
Страниц: 245
Язык: английский
Формат: pdf (true), epub
Размер: 15.1 MB

Author Eric Lippert introduces fabulous solutions using uncommon algorithms and data structures. There’s a lot more to algorithms than the useful-but-boring recipes you recite for every interview. This unique book introduces a collection of amazing algorithms that have the potential to change the way you program. To get the most out of this book you’ll want to have some experience with programming, either professionally or recreationally, and a desire to add new tools to your toolbox. Familiarity with the “big-O” notation used to describe asymptotic performance will be useful, but not required. All the code is written in C#, the language I know best, but will be understandable to any programmer who has a working knowledge of a modern object-oriented language such as Java, C++, and so on. For working programmers who know C#, Java, Python, or similar object-oriented language. Examples in C#.

Название: Engineering Leadership: The Hard Parts: Navigating Chaos to Build Teams That Deliver
Автор: Juan Pablo Buriticá, James Turnbull
Издательство: O’Reilly Media, Inc.
Год: 2026
Страниц: 273
Язык: английский
Формат: True PDF, True EPUB
Размер: 10.1 MB

Whether they're building a startup or scaling an established org, engineering leaders know the real job is keeping chaos under control. In a world of shifting priorities, scarce resources, and rapid change, leadership means embracing the unknown, managing moving targets, and creating clarity where there's none. Sometimes, you're building the plane as you're flying it--writing the roadmap as you go, designing processes in real time. Engineering Leadership: The Hard Parts cuts through the noise, offering a guide for tackling these gritty, real-world challenges. Current and future leaders, this is your toolkit. It's packed with principles, techniques, and mental models for thriving in uncertainty. As an engineering leader, you’re responsible for your team’s success and the delivery of complex technical projects. This is challenging even under the best circumstances, but it can feel downright impossible within a chaotic environment. You may be a new engineering manager, suddenly responsible for a team and a codebase that you’re still learning to navigate.

Название: Software Design for Python Programmers: Principles and patterns (Final Release)
Автор: Ronald Mak
Издательство: Manning Publications
Год: 2026
Страниц: 458
Язык: английский
Формат: True PDF, True EPUB
Размер: 46.2 MB

Design principles and patterns for building better Python software. Software Design for Python Programmers shows you how to level up from writing Python code to designing Python applications. Following intuitive “before” and “after” examples of improved code, you’ll learn to plan and execute Python applications effectively and avoid bugs associated with unmanaged state, poorly-formed classes, inflexible functions, and more. Software Design for Python Programmers is a practical guide for creating maintainable, well-structured software in Python. By investigating clear “before and after” examples, you’ll discover how even small design choices can have a huge impact on an application’s clarity and reliability. As you go, you’ll learn how to gather requirements, shape a program’s architecture iteratively, create clean and reusable abstractions, and select design patterns that solve the real problems you’ll face on the job. For programmers comfortable with Python syntax.

Название: Hands-On Small Language Models: Practical Patterns for Building Efficient Applications with SLMs (Early Release)
Автор: Alexander N. Thomas
Издательство: O’Reilly Media, Inc.
Год: 2026-01-21
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Large language models have reshaped what's possible in AI—but their size, cost, and complexity can make them difficult to use in real-world production. Small language models (SLMs) offer a more practical alternative: they're efficient, focused, and built for applications that demand agility, privacy, and control. Hands-On Small Language Models provides a hands-on guide to understanding, building, and deploying these compact models to power specialized agentic applications. Author Alex Thomas, principal data scientist at John Snow Labs, draws on years of experience in natural language processing and applied AI to show how SLMs are democratizing the generative AI landscape. Through clear explanations and guided projects, including the development of a multi-functional movie chatbot, you'll learn how to combine, deploy, and monitor SLMs both locally and in the cloud.

Название: Foundations of Software Testing ISTQB Certification, 5th Edition
Автор: Erik van Veenendaal, Rex Black, Dorothy Graham
Издательство: Cengage Learning EMEA
Год: 2025
Страниц: 288
Язык: английский
Формат: pdf, epub (true)
Размер: 12.4 MB

Now in its fifth edition, Foundations of Software Testing: ISTQB Certification is the essential guide to software testing and to the ISTQB Foundation qualification written by respected international authorities in software testing who themselves helped develop the ISTQB Syllabus. Completely updated to comprehensively reflect the most recent changes to the ISTQB Foundation Syllabus v 4.0, 2023, this book adopts a practical, hands-on approach, covering the fundamental topics that every system and software tester should know. About ISTQB International Software Testing Qualifications Board (ISTQB) is a multinational body overseeing the development of international qualifications in software testing. It offers an internationally recognized qualification that ensures there is an international, common understanding of software and system testing issues.

Название: Systems Analysis and Design, 13th Edition, Cengage International Edition
Автор: Scott Tilley
Издательство: Cengage Learning
Год: 2025
Страниц: 626
Язык: английский
Формат: pdf (true)
Размер: 31.0 MB

Discover a practical, streamlined approach to systems development that focuses on the latest developments with Tilley's SYSTEMS ANALYSIS AND DESIGN, Cengage International Edition, 13th, and MindTap digital resources. Real examples clearly demonstrate both traditional and emerging approaches to systems analysis and design, including object-oriented and agile methods. You also study emerging technologies such as artificial intelligence (AI), machine learning (ML), cloud computing and cybersecurity. Meaningful projects, insightful assignments and both online and printed exercises emphasize the critical thinking and IT skills that are most important in today's dynamic, business-related environment. Programming languages are the foundation of coding, enabling developers to convert intricate program logic into actionable code that computers can interpret and execute. Each developer prefers specific languages and development environments that best align with their workflow and project requirements. Popular choices among these languages include Visual Basic, Java, and Python, each renowned for flexibility and robust support across various application types.

Название: Things I wish I knew when I started programming
Автор: Brent Roose
Издательство: Leanpub
Год: 2025-09-06
Страниц: 114
Язык: английский
Формат: pdf, epub
Размер: 11.1 MB

This book isn't about patterns, principles, or best practices; there's actually barely any code in it. It's about the many things I've learned along the way being a professional programmer, and about the many, many mistakes I made along that way as well. It's what I wish someone would have told me years ago, and I hope it might inspire you. "Things I wish I knew when I started programming" is Brent Roose's newest book aimed at programmers of any skill level.