Название: Programming In C, 3rd Edition
Автор: Ashok N. Kamthane, Amit A. Kamthane
Издательство: Pearson Education India
Год: 2015
Страниц: 688
Язык: английский
Формат: epub
Размер: 20.3 MB

C is one of the most popular programming languages. It runs on most software platforms and computer architecture. This revised edition of our best-selling text Programming in C not only maintains the exclusivity of previous editions but also enhances it with the addition of new programs and illustrations. Challenging concepts are supported with numerous solved and unsolved programs. The new chapter on computer graphics ensures that this book comprehensively covers the syllabi of most universities. The book also uses the Turbo C compiler, which is the most widely used C compiler. With its increased coverage and inclusion of new learning tools, this edition is an invaluable asset for students who aim to improve their programming skills.

Название: Analysis of Categorical Data with R, 2nd Edition
Автор: Christopher R. Bilder, Thomas M. Loughin
Издательство: CRC Press
Год: 2025
Страниц: 706
Язык: английский
Формат: True PDF, True EPUB
Размер: 43.3 MB

Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The second edition is a substantial update of the first based on the authors’ experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter—group testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The book does not require any prior experience with R. We provide an introduction to the essential features and functions of R in Appendix A. We also provide introductory details on the use of R in the earlier chapters to help inexperienced R users. Throughout the book, as new R functions are needed, their basic features are discussed in the text and their implementation shown with corresponding output. We focus on using R packages that are provided by default with the initial R installation. However, we make frequent use of other R packages when they are significantly better or contain functionality unavailable in the standard R packages. The book contains the code and output as it would appear in the R Console; we make minor modifications at times to the output only to save space within the book. Code provided in the book for plotting is often meant for color display rather than the actual black-and-white display shown in the print and some electronic editions.

Название: Basic Mathematical Foundations of AI: Hands on with Python
Автор: Jamie Flux
Издательство: Independently published
Серия: Mastering Machine Learning
Год: July 31, 2024
Страниц: 521
Язык: английский
Формат: pdf
Размер: 10.1 MB

Unveil the power of AI with this comprehensive guide to the fundamental mathematical foundations behind it. Whether you're a beginner or an advanced learner, this book is the perfect resource to dive deep into the mathematics that underpin Artificial Intelligence (AI) and Machine Learning. With clear explanations and practical examples, each chapter focuses on a specific topic and includes Python code and multiple-choice review questions to reinforce your understanding. From linear equations to advanced techniques like Deep Learning and reinforcement learning, you will gain a solid understanding of the mathematical concepts essential for working in the field of AI. This book is ideal for both beginners looking to build a strong mathematical foundation in AI and experienced practitioners seeking to deepen their knowledge and sharpen their skills. So why wait? Grab your copy today and embark on a fascinating journey into the mathematical foundations of AI!

Название: Vibe Coding for Beginners with Python and ChatGPT
Автор: Greg Lim
Издательство: Independently published
Год: 2025
Язык: английский
Формат: epub
Размер: 16.7 MB

In this book, we take you on a fun, hands-on crash course to Vibe Coding with Python and ChatGPT. With Vibe coding, you will use ChatGPT and Python to build apps for you without you having to do complex coding, while you focus on the big ideas. The goal of this book is to help you learn how to create apps without mastering complex coding. You will learn how to use Python to build real applications for personal use or more. You’ll see results in minutes, from prompt to completion. Unlike traditional programming books, this one doesn’t require you to dive deep into code syntax or take hours to complete. The curriculum is flexible, allowing you to start anywhere or follow the guided learning curve. The first part of the book focuses on simple code that runs in a single file. The second part explores the use of APIs. Finally, the book includes several examples, combining libraries and APIs to demonstrate the types of projects you can create. The goal of this book is to show you how to use and integrate Python’s libraries and APIs. It will equip you with a toolkit of the most useful and enjoyable functions, illustrate how to turn ideas into practical applications.

Название: Python-Powered Business Analytics: A Complete Guide to Data-Driven Decision Making
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1526
Язык: английский
Формат: epub (true)
Размер: 17.7 MB

Python-Powered Business Analytics: A Complete Guide to Data-Driven Decision Making is a comprehensive textbook designed for business students and professionals seeking to leverage Python programming for data analysis. Published in April 2025, this introductory guide assumes no prior programming experience, making it accessible for business, management, and finance students. The book takes a holistic approach, covering Python fundamentals alongside essential mathematical and statistical concepts, Machine Learning methods, and their practical business applications. The text features a running case study to help readers apply theoretical knowledge to real-world scenarios. It includes practical examples demonstrating business analytics applications such as customer churn prediction, fraud detection, and sales forecasting. The book covers both supervised and unsupervised Machine Learning techniques, data visualization, and data manipulation using key libraries like Pandas, NumPy, and Matplotlib.

Название: The Java Architect's Handbook: Designing, Evolving, and Securing Enterprise Applications
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1128
Язык: английский
Формат: epub (true)
Размер: 10.7 MB

The Java Architect's Handbook: Designing, Evolving, and Securing Enterprise Applications is a comprehensive guide for both aspiring and experienced Java architects tasked with building robust, scalable, and secure enterprise systems. Drawing on proven engineering principles and the latest industry practices, this book walks readers through every stage of the architectural process-from requirements analysis and modular design to cloud-native deployment and security hardening. Each chapter offers practical strategies for addressing real-world challenges, including componentization, data integration, performance tuning, and compliance. The book emphasizes clear communication, decision documentation, and continuous evolution, equipping architects to lead teams, manage complexity, and deliver business value in dynamic environments. With actionable patterns, anti-patterns, case studies, and hands-on examples, this handbook is an essential resource for guiding Java projects from conception to successful deployment. Whether you are architecting your first Java enterprise application or seeking to enhance your architectural expertise, you will return to this book again and again for practical insights and professional guidance.

Название: Software Development Lifecycle Made Simple: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex LLC
Год: 2025
Страниц: 434
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Software Development Lifecycle Made Simple: A Practical Guide with Examples offers a clear and comprehensive introduction to the processes, principles, and best practices of modern software development. Designed for beginners and aspiring professionals, this book demystifies the complexities of the software development lifecycle (SDLC), guiding readers step by step from foundational programming concepts to the structured methodologies that drive successful projects. The book is organized to mirror real-world workflows, covering every phase of development including planning, requirements analysis, design, implementation, testing, deployment, and ongoing maintenance. Each chapter breaks down essential topics such as algorithms, programming languages, debugging, version control, collaborative practices, quality assurance, security, and project management. A continuous case study reinforces each concept by demonstrating how it applies to a practical software project, making the principles tangible and directly relevant to actual development scenarios.

Название: The Complete Java Engineer: Architecture, Cloud, and Professional Growth for the Next Generation
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1030
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

The Complete Java Engineer: Architecture, Cloud, and Professional Growth for the Next Generation is a comprehensive guide for Java developers seeking to excel in today's fast-evolving software landscape. This book covers the full spectrum of modern Java engineering, from mastering the language's latest features to architecting scalable cloud-native applications. Readers will gain practical insights into advanced programming techniques, microservices, containerization, and DevOps practices, all tailored to the demands of enterprise and startup environments. Beyond technical mastery, the book emphasizes essential software engineering practices, collaboration, and leadership skills necessary for career advancement. Each chapter is designed to be accessible yet thorough, drawing inspiration from industry classics like Effective Java and Clean Code, while integrating up-to-date best practices and real-world scenarios. Whether you are an aspiring developer, a seasoned engineer, or a tech lead, this guidebook will help you navigate technical challenges, build robust systems, and future-proof your career.

Название: Building Integrations with Mulesoft: Integrating Systems and Unifying Data in the Enterprise (Final Release)
Автор: Pooja Kamath, Diane Kesler
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 393
Язык: английский
Формат: epub
Размер: 12.98 MB

Is your organization planning to adopt automation in the near future? This concise yet comprehensive guide shows developers and architects how to effectively tackle data integration challenges with MuleSoft. Authors Pooja Kamath and Diane Kesler guide you through the process necessary to build robust and scalable integration solutions. Supported by real-world use cases, Building Integrations with MuleSoft teaches you effective ways to identify and resolve performance bottlenecks, handle errors, and ensure the reliability and scalability of your integration solutions. The goal of this book is to give you a linear coverage of what is required to get up and running and launch an API to production. We understand that software development is an iterative process, and in the real world you will have to bounce back and forth between processes for the successful delivery of applications. MuleSoft is a very big topic with a lot of products; we won’t be able to cover it all. With the help of a use case, we will learn how to create an API, develop, test, and deploy it. We won’t be covering topics related to the broader topic of API management.

Название: Mathematical Optimization for Machine Learning: Proceedings of the Math+ Thematic Einstein Semester 2023
Автор: Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter
Издательство: De Gruyter
Год: 2025
Страниц: 212
Язык: английский
Формат: pdf (true), epub
Размер: 27.5 MB

Mathematical optimization and Machine Learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal control, first-order methods, multilevel optimization, Machine Learning in optimization, physics-informed learning, and fairness in Machine Learning. Mathematical optimization often focuses on accuracy, computational efficiency, and robustness while Machine Learning (ML) aims to achieve effective results on real data sets, in particular concentrating on generalization, robustness, and resilience (to, e.g., perturbations of the inputs).