Название: The Programmer's Playbook: Strategies for Success in Software Development
Автор: Precious Chukwudum
Издательство: Precious Chukwudum
Год: 2024
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Unlock the secrets of software programming and take your skills to the next level with this comprehensive guide. Covering the fundamentals of programming, software development methodologies, web development, data structures, algorithms, databases, security, testing, and DevOps, this book provides a thorough and accessible introduction to the world of programming. With a focus on practical applications and real-world examples, this book is perfect for beginners and experienced programmers alike. Whether you're looking to learn a new language, improve your coding skills, or stay up-to-date with the latest industry trends, this book has something for everyone. As a programmer, you know that software development is a game with its own rules, strategies, and challenges. It's a game that requires skill, creativity, and perseverance. Whether you're a seasoned developer or just starting out, this book is designed to help you master the game of software development and achieve success.

Название: Keras: Master Deep Learning with Keras
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 654
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

In an era where Artificial Intelligence is revolutionizing industries, mastering the tools and techniques to harness its potential is essential. Mastering Keras: Building Advanced Deep Learning Models with Python is your comprehensive guide to diving deep into the world of neural networks and Deep Learning using Keras, one of the most powerful and user-friendly libraries available. This book is designed for both beginners and seasoned practitioners who want to enhance their skills and build sophisticated models for various real-world applications. Whether you're developing AI solutions for finance, healthcare, or any other field, this book provides the knowledge and practical experience needed to implement and optimize Deep Learning models effectively. Mastering Keras stands out because it not only teaches you how to use Keras but also equips you with the skills to solve real-world problems. This book bridges the gap between theory and practice, providing you with a solid foundation and the confidence to build, train, and deploy advanced Deep Learning models. This book is designed to be your guide, easing you into the intricate world of neural networks with the powerful combination of Python and Keras. We chose Python for its simplicity and readability, and Keras for its user-friendly, high-level API that makes building and training neural networks accessible to everyone. This book is perfect for data scientists, machine learning engineers, software developers, and anyone interested in Deep Learning. Whether you're just starting out or looking to refine your expertise, Mastering Keras is the essential resource to help you achieve your goals.

Название: Beginning C: From Beginner to Pro, 7th Edition
Автор: German Gonzalez-Morris, Ivor Horton
Издательство: Apress
Год: 2024
Страниц: 710
Язык: английский
Формат: pdf (true), epub (true)
Размер: 19.9 MB

Learn how to program using C, beginning from first principles and progressing through step-by-step examples. This seventh edition is fully updated to reflect new features of C23, and addresses deprecated functions and features that are no longer supported. You’ll discover that C is a foundation language that every programmer ought to know. Beginning C is written by renowned author Ivor Horton and expert programmer German Gonzalez-Morris. This book increases your programming expertise by guiding you through the development of fully working C applications that use what you've learned in a practical context. Examples of how to use deprecated functions are also provided, along with new examples for replacing them when a simple solution is possible. By the end of the book you'll be confident in your skills with all facets of the widely-used and powerful C language and be able to strike out on your own by trying the exercises included at the end of each chapter. All you need are this book and any of the widely available C compilers, and you'll soon be writing real C programs.

Название: Python Essentials For Dummies
Автор: John C. Shovic, Alan Simpson
Издательство: For Dummies
Год: 2024
Страниц: 195
Язык: английский
Формат: True PDF, True/Retail EPUB
Размер: 12.6 MB

The no-nonsense way to get started coding in the Python programming language. Python Essentials For Dummies is a quick reference to all the core concepts in Python, the multifaceted general-purpose language used for everything from building websites to creating apps. This book gets right to the point, with no excess review, wordy explanations, or fluff, making it perfect as a desk reference on the job or as a brush-up as you expand your skills in related areas. Focusing on just the essential topics you need to know to brush up or level up your Python skill, this is the reliable little book you can always turn to for answers. Python is the number-one language because it’s easy to learn and use, due partly to its simplified syntax and natural-language flow but also to the amazing user community and the breadth of applications available. This book is a reference manual to guide you through the process of learning the essentials of Python. If you’re looking to learn a little about a lot of exciting things, this is the book for you. It gives you an introduction to the topics that you’ll need to explore more deeply. This is a hands-on book, with examples and code throughout. You’ll enter the code, run it, and then modify it to do what you want. In this book, we take you through the basics of the Python language in small, easy-to-understand steps.

Название: Data Science with Rust: From Fundamentals to Insights
Автор: Hayden Van Der Post, Vincent Bisette, Rick Van Dyke
Издательство: Reactive Publishing
Год: 2024
Страниц: 714
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.8 MB

Unlock the power of Rust in the world of Data Science with "Data Science with Rust." This comprehensive guide takes you on a journey through the unique advantages of Rust, a systems programming language renowned for its performance, reliability, and safety. Whether you are a seasoned data scientist or a programming enthusiast looking to expand your skills, this book provides the tools and knowledge you need to leverage Rust for your Data Science projects. The conception of this book stems from a simple yet powerful idea: to combine the precision and speed of Rust with the transformative power of data science. As professionals and enthusiasts, many of us have thrived in environments shaped by languages like Python and R. However, Rust introduces a level of efficiency and safety that is particularly appealing for scaling and optimizing data workloads. Data Science with Rust is not just a technical compendium; it’s a narrative of how a modern system programming language can solve age-old problems in data analysis while opening doors to new possibilities. The landscape of Data Science is constantly evolving. While Python and R have established themselves as the de facto languages for data analysis, Rust provides unique advantages: - Performance: Rust’s memory management model allows for high-speed data processing without the overhead common in interpreted languages. - Safety: Rust’s ownership system ensures memory safety, reducing common bugs and vulnerabilities. - Concurrency: Rust makes concurrent programming easier and safer, enabling more efficient use of modern multi-core processors.

Название: Git & GitHub Visual Guide: The Hands-On Manual for Complete Beginners to Master Version Control and Remote Coding Collaboration
Автор: Ben Bloomfield, David Ocean, Atlas Skylark, Valeria Celis
Издательство: D-Libro
Год: 2024
Страниц: 515
Язык: английский
Формат: epub
Размер: 27.5 MB

Begin your journey into the world of Git and GitHub with this comprehensive hands-on manual designed for complete beginners. This book demystifies the complexities of version control and remote collaboration using Git and GitHub, breaking them down into accessible, step-by-step chapters that ensure you grasp the fundamental concepts needed to manage your coding projects efficiently. Version Control System (VCS) is one of the most critical tools for coding and digital application development. Git is the most commonly used version control system, created by Linus Torvalds in 2005 for the development of the Linux kernel. GitHub is one of the most popular Remote Repository services based on the Git platform. In this course, we'll explain how to use Git as a version control system and how to collaborate with other developers on GitHub. Git and GitHub are often explained together, however, they are different things. Git is a version control system while GitHub is a repository service provided by GitHub, Inc. Typically, remote repository services also offer task management features besides collaborative coding features. For example, GitHub provides Git Issues that allow you to input tasks and share them with your team. GitHub or other remote repository services can also integrate with other services for workflow automation. This guide not only introduces you to the essentials of Git and GitHub but also equips you with the knowledge to effectively plan, implement, and manage your software development projects.

Название: Face De-identification: Safeguarding Identities in the Digital Era
Автор: Yunqian Wen, Bo Liu, Li Song, Jingyi Cao, Rong Xie
Издательство: Springer
Год: 2024
Страниц: 195
Язык: английский
Формат: pdf (true), epub
Размер: 23.9 MB

This book provides state-of-the-art Face De-Identification techniques and privacy protection methods, while highlighting the challenges faced in safeguarding personal information. It presents three innovative image privacy protection approaches, including differential private k-anonymity, identity differential privacy guarantee and personalized and invertible Face De-Identification. In addition, the authors propose a novel architecture for reversible Face Video De-Identification, which utilizes deep motion flow to ensure seamless privacy protection across video frames. This book is a compelling exploration of the rapidly evolving field of Face De-Identification and privacy protection in the age of advanced AI-based face recognition technology and pervasive surveillance. This insightful book embarks readers on a journey through the intricate landscape of facial recognition, Artificial Intelligence (AI), social network and the challenges posed by the digital footprint left behind by individuals in their daily lives. The authors also explore emerging trends in privacy protection and discuss future research directions. Face recognition is a biometric technology that automatically recognizes people’s facial features including statistics and geometric features, which is one of the most important applications of image analysis and understanding. Researchers working in Computer Science, Artificial Intelligence, Machine Learning, data privacy and cybersecurity as well as advanced-level students majoring in Computers Science will find this book useful as reference or secondary text. Professionals working in the fields of biometrics, data security, software development and facial recognition technology as well as policymakers and government officials will also want to purchase this book.

Название: Integrating Artificial and Human Intelligence through Agent Oriented Systems Design
Автор: Michael E. Miller, Christina F. Rusnock
Издательство: CRC Press
Год: 2025
Страниц: 322
Язык: английский
Формат: pdf (true)
Размер: 13.1 MB

This book departs from the assumption that Artificial Intelligence (AI) systems will provide a maximum advantage by replacing human cognitive processing. Instead, this book subscribes to the assumption that AI systems will provide a maximal advantage when the system is specifically designed to augment human intelligence. It provides methods for designing effective systems that include one or more humans and one or more AI entities and uses the approach that assumes automation does not replace human activity but fundamentally changes the structure of human work when AI is added to existing systems. Integrating Artificial and Human Intelligence through Agent Oriented Systems Design discusses the potential impact of AI on human work and life and explores why teamwork is necessary today for complex work environments. The book explains the processes and methods humans employ to effectively team with one another and presents the elements of artificial agents that permit them to function as team members in joint human and artificial teams. It discusses design goals and illustrates how the methods that have been used to model the complex interactions among human and artificial agents can be expanded to enable the design of interaction between them to make possible the attainment of the shared goals. Model-Based Systems Engineering (MBSE) tools that provide logical designs of human–agent teams, the AI within these teams, training to be deployed for human and artificial agent team members, and the interfaces between human and artificial agent team members are all covered. MBSE files containing profiles and examples for building MBSE models used in the design approach are featured on the author’s website. When applying this text in computer science courses, faculty may consider exposing the students to the Unified Markup Language and possibly Systems Modeling Language prior to a course that applies this text or deliberately incorporate external sources providing an introduction to these languages as part of this course. This book is an ideal read for students, professors, engineers, and project managers associated with designing and developing AI systems or systems that seek to incorporate AI.

Название: Mastering Matplotlib with Python for Developers: Effective techniques for data visualization with Python
Автор: Hiram Esteban Jimenez, Jenna G Melendez
Издательство: Independently published
Год: 2024
Страниц: 388
Язык: английский
Формат: epub
Размер: 10.1 MB

Python also has a large and supportive community with many online resources and documentation. Many tutorials, forums, and videos can help beginners get started with Python programming. Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram etc.

Название: Practical Rust 1.x Cookbook, Second Edition: 100+ Solutions for beginners to practice rust programming across CI/CD, kubernetes, networking, code performance and microservices
Автор: Lloyd Frank
Издательство: GitforGits
Год: 2024
Страниц: 439
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

If you want to learn how to program in Rust and create strong, reliable apps with the most recent version Rust 1.68, then you need the "Practical Rust 1.x Cookbook (Second Edition)" - a book full of real-world solutions. An extensive collection of practical recipes covering a wide range of topics, this edition expands upon the first and guarantees that you will be well-versed in the complexities of Rust. You will learn the fundamentals of programming, how to set up a development environment, and the syntax of Rust in the first few chapters. Data structures, pattern matching, error handling, and concurrency are all covered in the recipes, which will set you up for success with more complex topics. As you go through the book, you'll learn how to write efficient and secure code by managing memory, using Rust's ownership model, and borrowing rules. You will gain an understanding of how to make use of robust Rust features such as traits, generics, and lifetimes to build code that is both flexible and reusable. The testing and debugging chapters provide the necessary tools and techniques to guarantee that your applications are dependable and free of bugs. By learning about SIMD instructions, compiler optimization flags, and parallel processing with libraries like rayon, you can greatly improve the efficiency of your code. In the more advanced chapters, you will learn how to use static and dynamic analysis, fuzz testing, and external high-performance libraries to make your applications even better. In no time at all, you will be able to build robust, high-performance Rust applications by following these potent recipes and becoming an expert Rust programmer.