Название: Fluent Bit with Kubernetes (MEAP v6)
Автор: Phil Wilkins
Издательство: Manning Publications
Год: 2024
Страниц: 404
Язык: английский
Формат: pdf, epub
Размер: 21.9 MB

Build cloud native observability pipelines with minimal footprints and high-performance throughput—all with Fluent Bit, Kubernetes, and your favorite visualization and analytics tools. Fluent Bit is a super-fast and super lightweight observability tool—making it perfect for telemetry on Kubernetes-based systems. Fluent Bit with Kubernetes is an all-practical guide to monitoring both cloud-native and traditional environments with Fluent Bit. It takes you from the basics of collecting app logs, all the way to filtering, routing, enriching and transforming logs, metrics, and traces. Fluent Bit with Kubernetes draws on both the input and support of key committers and founders of Fluent Bit, and author Phil Wilkin’s years of experience in DevOps. Inside, you’ll see how you can integrate Fluent Bit with Prometheus, OpenTelemetry, FluentD deployments, and more. Learn how Fluent Bit can not only meet all the demands of cloud-native use cases, but also more traditional deployments as well. For developers, DevOps engineers, and SREs working with Kubernetes observability.

Название: Mastering Python: A Journey Through Programming and Beyond
Автор: The Northern Himalayas
Издательство: The Northern Himalayas
Год: 2024
Страниц: 835
Язык: английский
Формат: epub
Размер: 11.5 MB

"Mastering Python: A Journey Through Programming and Beyond." This comprehensive guide is designed to take both novice programmers and experienced developers to new heights of mastery in the Python language. The book begins with a solid foundation in Python fundamentals, ensuring readers grasp essential concepts with clarity and confidence. From there, the journey unfolds, delving into advanced programming techniques, best practices, and real-world applications. Readers will explore the versatility of Python, from building web applications with Flask to data analysis and visualization using Pandas and Matplotlib. The narrative seamlessly progresses into the realm of machine learning with Scikit-Learn, allowing readers to demystify complex algorithms and build their own predictive models. Practical exercises and hands-on projects ensure that theoretical knowledge is transformed into practical skills, reinforcing the learning experience. The heart of the journey lies in the creation of a To-Do List application, where readers apply their accumulated knowledge to build a complete and functional project. Each step is meticulously explained, guiding readers through the planning, design, and implementation phases, enhancing their problem-solving abilities and project development skills.

Название: Optimizing AI and Machine Learning Solutions: Your ultimate guide to building high-impact ML/AI solutions
Автор: Mirza Rahim Baig
Издательство: BPB Publications
Год: 2024
Страниц: 836
Язык: английский
Формат: pdf, epub
Размер: 26.0 MB

Build high-impact ML/AI solutions by optimizing each step. This book approaches data science solution building using a principled framework and case studies with extensive hands-on guidance. It will teach the readers optimization at each step, whether it is problem formulation or hyperparameter tuning for Deep Learning models. This book keeps the reader pragmatic and guides them toward practical solutions by discussing the essential ML concepts, including problem formulation, data preparation, and evaluation techniques. Further, the reader will be able to learn how to apply model optimization with advanced algorithms, hyperparameter tuning, and strategies against overfitting. They will also benefit from Deep Learning by optimizing models for image processing, natural language processing (NLP), and specialized applications. The reader can put theory into practice with hands-on case studies and code examples, reinforcing their understanding. With this book, the reader will be able to create high-impact, high-value ML/AI solutions by optimizing each step of the solution building process, which is the ultimate goal of every Data Science professional. With this book, you will be able to approach a ML/AI solution in a systematic way, optimizing each step of the solution building process. You will thus be able to create high impact, high value Machine Learning/Artificial Intelligence solutions – which is the ultimate goal of every Data Science professional.

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.