Название: Mastering Secure Java Applications: Navigating security in cloud and microservices for Java
Автор: Tarun Kumar Chawdhury, Joyanta Banerjee, Vipul Gupta, Debopam Poddar
Издательство: BPB Publications
Год: 2024
Страниц: 784
Язык: английский
Формат: pdf, epub
Размер: 15.8 MB

Elevate your Java security skills for the modern cloud era. This book offers a comprehensive guide to implementing Zero-Trust security principles, cloud-based defenses, and robust application development practices. Through practical examples and expert advice, readers will gain the skills needed to design and develop secure Java applications that easily can tackle today's cyber threats. It builds focus on securing your source code through analysis, vulnerability detection, and automation. It also ensures the safety of your runtime environment for managing traffic and enables multi-factor authentication. While addressing data security concerns with encryption, anonymization, and cloud-based solutions, it also uses tools like OpenTelemetry for real-time threat detection. It manages sensitive information securely with Vault integration and explores passwordless authentication. Reference architectures, secure coding patterns, and automation practices are also provided to aid implementation. By the end of this book, you'll be well-equipped to build secure Java applications with confidence and deliver applications that are robust, reliable, and compliant.

Название: Theory of Structured Parallel Programming
Автор: Yong Wang
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 200
Язык: английский
Формат: epub
Размер: 10.1 MB

Theory of Structured Parallel Programming is a comprehensive guide to structured parallel programming corresponding to traditional structured sequential programming. The book provides readers with comprehensive coverage of theoretical foundations of structured parallel programming, including analyses of parallelism and concurrency, truly concurrent process algebras, building block-based structured parallel programming, modelling and verification of parallel programming language, modelling and verification of parallel programming patterns, as well as modeling and verification of distributed systems. There have been always two ways to approach parallel computing: one is the structured way, and the other is the graph-based (true concurrent) way. The structured way is often based on the interleaving semantics, such as process algebra CCS. Since the parallelism in interleaving semantics is not a fundamental computational pattern (the parallel operator can be replaced by alternative composition and sequential composition), the parallel operator often does not occur as an explicit operator, such as in the mainstream programming languages C, C++, Java, et al.

Название: Java Persistence with NoSQL: Revolutionize your Java apps with NoSQL integration
Автор: Otávio Santana
Издательство: BPB Publications
Год: 2024
Страниц: 737
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Unlock infinite possibilities: Java + NoSQL = Enterprise excellence. Java Persistence with NoSQL is a comprehensive guide that offers a unique blend of theoretical knowledge and practical implementation, making it an invaluable resource for those seeking to excel in their roles. The book is divided into four parts, covering essential NoSQL concepts, Java principles, Jakarta EE integration, and the integration of NoSQL databases into enterprise architectures. Readers will explore NoSQL databases, comparing their strengths and use cases. They will then master Java coding principles and design patterns necessary for effective NoSQL integration. The book also discusses the latest Jakarta EE specifications, enhancing readers' understanding of Jakarta's role in data storage and retrieval. Finally, readers will learn to implement various NoSQL databases into enterprise-grade solutions, ensuring security, high availability, and fault tolerance. With hands-on exercises, real-world examples, and best practices, this book equips professionals with the skills and knowledge needed to excel in building robust and scalable Java applications using NoSQL databases.

Название: Pandas Workout: 200 exercises to make you a stronger data analyst (Final Release)
Автор: Reuven M. Lerner
Издательство: Manning Publications
Год: 2024
Страниц: 442
Язык: английский
Формат: pdf (true)
Размер: 14.3 MB

Practice makes perfect Pandas. Work out your Pandas skills against dozens of real-world challenges, each carefully designed to build an intuitive knowledge of essential Pandas tasks. Discover 50 exercises that will strengthen your Pandas skills to a level of automatic fluency. You’ll test yourself against common pandas challenges such as data cleaning, and explore real-world datasets such as New York Taxis, Kickstarter projects, and global tourist spending. Detailed explanations help guide your success and make your new skills stick. You’ll even get a big boost to productivity, with tasks that used to mean a trip to StackOverflow now a natural part of your skillset. Pandas approaches problems differently than Python. The syntax is the same, but the data structures are different, and the way you structure your solutions is also different. Pandas is so vast that it’s easy to lose track of all the techniques. And unlike the core Python language, which tries to adhere to the maxim “There should be only one way to do it,” there are often many ways to accomplish the same task in Pandas. Knowing which of these ways is fastest to execute and easiest to maintain isn’t always obvious, even (or especially) if you’re an experienced Python developer.

Название: Build AI-Enhanced Audio Plugins with C++
Автор: Matthew John Yee-King
Издательство: Routledge
Год: 2024
Страниц: 362
Язык: английский
Формат: pdf (true)
Размер: 18.2 MB

Build AI-Enhanced Audio Plugins with C++ explains how to embed Artificial Intelligence (AI) technology inside tools that can be used by audio and music professionals, through worked examples using Python, C++ and audio APIs which demonstrate how to combine technologies to produce professional, AI-enhanced creative tools. The first aim of this book is to show you how to build AI-enhanced music software. But I will take a different approach to many other AI and signal processing books. I have carefully developed this approach to solve specific problems and to address particular challenges you will face as a developer of AI-enhanced music software. My second aim is to show you how to construct the technology in a way that makes it accessible to musicians and audio professionals. Knowing how to build and run AI-enhanced music systems on your machine is one thing. A quirky Python script hacked together to work on your setup is acceptable for research and experimentation but you will have trouble getting musicians to use it. If you are a student programmer at the undergraduate or postgraduate level, you will find new knowledge in all areas of the book. You might be assigned all or part of this book as a textbook for a course you are studying, or you might have discovered the book independently. The book will teach you some C++ programming along the way, as well as helping you to understand how to use an IDE and associated tools to develop software. If you are a Machine Learning engineer or AI scientist wishing to apply your skills in the music software domain, the book will help you do that. You will be familiar with the concepts of machine learning models, training and inference, but you will likely need to become more familiar with digital signal processing techniques. As a Machine Learning engineer, you likely work primarily in Python or a specialised language. The book covers some Python but is mainly focused on C++ programming.

Название: Gradle Goodness Notebook: Experience Gradle through code snippets
Автор: Hubert A. Klein Ikkink
Издательство: Leanpub
Год: 2024-03-23
Страниц: 274
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB

Learn more about Gradle features with code snippets and short articles. The articles and code will get you started quickly and will give more insight in Gradle. When I started to learn about Gradle I wrote done little code snippets with features of Gradle I found interesting. To access my notes from different locations I wrote the snippets with a short explanation in a blog: Messages from mrhaki. I labeled the post as Gradle Goodness, because I thought this is good stuff, and that is how the Gradle Goodness series began. The blog posts turned out to be a useful resource for people learning and using Groovy in their every day programming. The Gradle Goodness Notebook contains the blog posts about Gradle previously mentioned on my blog. The posts have been edited slightly so they can be used for the book. The book gives a broad overview of all the great features we can find in the Gradle build tool.

Название: Computer Algorithms: Correctness Proofs and Performance Analyses
Автор: Shashank K. Mehta
Издательство: PHI Learning Private Limited
Год: 2023
Страниц: 473
Язык: английский
Формат: pdf (true)
Размер: 34.4 MB

The book is self-contained and includes the desired mathematical background. The book covers most of the data structures and classical graphs algorithms, string algorithms, matroid algorithms, linear algebra algorithms, flow and circulation algorithms, linear programming solvers, and integer algorithms. It covers several topics which are rarely covered in the existing textbooks. Pseudocode is provided for every algorithm. Proof of correctness and the complexity analysis is given for every algorithm. Examples are also provided to help explain several algorithms. The book is designed for an introductory as well as an advance course in the design and analysis of algorithms. It is intended for undergraduate as well as postgraduate students of computer science and engineering. Some of the topics covered in the book are as follows. i) String homomorphism and isomorphism ii) Detailed proof of graph matching algorithm including augmenting path computation iii) Gallai Edmonds decomposition algorithm iv) Matroid Intersection algorithm Klein. There are excellent textbooks1 available for an undergraduate course on algorithms. However, the same cannot be said for graduate level books on the subject. A graduate level book requires rigorous treatment of two issues for each algorithm: the correctness proof and the time/space complexity analysis. The motive behind writing this book was to develop a textbook covering most of the traditional topics but with complete proof of correctness and complexity analysis. The book is not only for a graduate student but also for an advance undergraduate student as well. It is self contained so that an undergraduate student can follow the subject without having to study other books.

Название: Software Engineering, 2nd Edition
Автор: David C. Kung
Издательство: McGraw Hill
Год: 2024
Страниц: 687
Язык: английский
Формат: pdf (true), epub (true)
Размер: 24.5 MB, 71.1 MB

The new edition of Software Engineering presents a step-by-step methodology that integrates Modeling and Design, UML, Patterns, Test-Driven Development, Quality Assurance, Configuration Management, and Agile Principles throughout the life cycle. The overall approach is casual and easy to follow, with many practical examples that show the theory at work. The author uses his experiences as well as real-world stories to help the reader understand software design principles, patterns, and other software engineering concepts. The book also provides stimulating exercises that go far beyond the type of question that can be answered by simply copying portions of the text.

Название: Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python (Final)
Автор: Michael Hartl
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2023
Страниц: 445
Язык: английский
Формат: pdf (true)
Размер: 10.6 MB

All You Need to Know, and Nothing You Don't, to Solve Real Problems with Python. Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don't need to learn "everything" to get started, just how to use it efficiently to solve real problems. You’ll then use this package in a simple dynamic web application built using the Flask web framework, which you’ll also deploy to the live Web. As a result, Learn Enough Python to Be Dangerous is especially appropriate as a prerequisite to learning web development with Python. Data Science is a rapidly developing field that combines tools from computation and statistics to create insights and draw conclusions from data. Luckily, there is broad agreement that Python is an excellent tool for Data Science, whatever it is exactly.

Название: Cybersecurity and Artificial Intelligence: Transformational Strategies and Disruptive Innovation
Автор: Hamid Jahankhani, Gordon Bowen, Mhd Saeed Sharif, Osama Hussien
Издательство: Springer
Год: 2024
Страниц: 329
Язык: английский
Формат: pdf (true), epub
Размер: 40.3 MB

This book discusses a range of topics that are essential to understanding cyber security, including legal implications and technical aspects, cyber detection, and minimising the threats so that governments and organisations can function without noticeable degradation of service. Unlike other technological threats, cyber security threats have the potential to destroy governments and undermine democratic processes – which makes an overarching cyber security strategy essential for all functioning governments. Thus, the book serves as a guide for developing strategies and ideas in the field and as a motivator for other governments and interested parties to develop and implement effective strategies. The development of cyber security strategies calls for new skills at the technical and user levels alike. However, IT skills are sometimes in short supply, and without a government policy on cyber security training, the lack of these skills could hamper the full potential of cyber security. The book explores various aspects and challenges of cyber security strategy and highlights the benefits and drawbacks, offering in-depth insights into the field. Artificial Intelligence (AI), Machine Learning, and Deep Learning are powerful and intelligent technologies that have prevalent applications in the finance domain. These technologies enable financial institutions to develop advanced systems such as fraud detection, portfolio management, market segmentation, stock price prediction, and security anomaly detection. Recent decades have shown a great deal of research applications of AI in various areas of finance.