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Fundamentals of Data Visualization

This book is here to help you get your job done. In general, if example code is offered with this book, you may use it in your programs and documentation. You do not need to contact us for permission unless you’re reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling

Multi-Criteria Decision-Making Sorting Methods

The current problems of our world require us to make increasingly complex and articulated decisions. With this in mind, there is a growing need for methodologies that, on the basis of the ever-increasing wealth of data available, are able to take into account all the relevant points of view, technically called criteria, and all the actors involved.

Go Programming Blueprints

This book explores some very different projects, any of which can form the basis of a genuine startup. Whether it's a low-latency chat application, a domain name suggestion tool, a social polling and election service built on Twitter, or a random night out generator powered by Google Places, each chapter touches upon a variety of problems that most products or services written in Go will need to address.

Navigating the Worlds of C and C++: Masters of Code

In the eary year of computing, there was a need for a versatile and efficient programming language that could be used to develop system software. This need gave birth to the C programming language. C was created by Dennis Ritchie at Bell Labs in the early 1970s.

Go Systems Programming

The book you are about to read is an honest book in the sense that it will present working Go code without overlooking its potential faults, its restrictions, and its logical gaffes, which will allow you to improve it on your own and create a better version of it in the future. What you will not be able to improve is the fundamental information that will be presented, which is the basis of the way Unix systems work.

Grokking concurrency

This is not your ordinary technical tome. No, it’s a book that will captivate and involve you, interweaving tales and cultural references into its pages. This book has evolved from a theo-retical guide to a journey packed with stories, cultural references (count them all!), and hilar-ious illustrations. It’s a book that doesn’t shy away from humor—and a deep love for dumplings and pizza—because why should learning concurrency be a dull and dreary experience

Grokking Deep Reinforcement Learning

This book is very well put together. It explains in technical but clear language what machine learning is, what deep learning is, and what reinforcement learning is. It allows the reader to understand the larger context of where the field is and what you can do with the techniques of deep RL, but also the way of thinking that ML, RL, and deep RL present. It is clear and concise. Thus, it works as both a learning guide and as a reference, and, at least for me, as a source of some inspiration.

Hands-On Reactive Programming in Spring 5

This book begins with the foundation of Spring Reactive programming. You will gain an understanding of the possibilities of the framework and learn about the fundamentals of reactivity. Further on, you will study the techniques of reactive programming, learn how to apply them to databases, and use them for cross-server communication. All of these tasks will be applied to a real project example, which will enable you to practice the skills learned.

Implementing Reverse Engineering

This book is to educate the learners on the topic of Reverse Engineering on x86 platform. This will be a good book for beginners and computer graduates in the area of RE. Professionals who want to switch their career to RE can also use this book. Other readers can be from schools, universities or those who are passionate to get into the area of cyber security.

Industrial Vision Systems with Raspberry Pi

This book demonstrates the implementation of industrial vision systems in real time using Raspberry Pi. It is designed to be helpful for graduate students, research scholars, and entry-level vision engineers. The book begins with an introductory chapter that provides readers with an overview of such systems. The second chapter introduces readers to Raspberry Pi hardware, guiding them through OS installation and camera setup with practical demonstrations in Python software. Chapter 3 helps readers learn and practice essential Python libraries for handling images and videos.

Infrastructure as Code Dynamic Systems for the Cloud Age

This book is for people who are involved in providing and using infrastructure to deliver and run software. You may have a background in systems and infrastructure, or in software development and delivery. Your role may be engineering, testing, architecture, or management. I’m assuming you have some exposure to cloud or vir‐ tualized infrastructure and tools for automating infrastructure using code.

NoSQL Essentials: Navigating the World of Non-Relational Databases

In this section, we will delve into the fundamental concepts of NoSQL databases. NoSQL, which stands for “Not Only SQL,” represents a diverse group of database management systems designed to address various challenges posed by modern data processing needs. Unlike traditional relational databases, NoSQL databases are schema-less, meaning they don’t enforce a rigid structure for data storage.

Analytics Engineering with SQL and dbt

In the ever-evolving business world, a captivating concept known as analytics engi‐ neering has emerged. It quickly became the talk of the town, in demand by managers, presented by IT companies, and admired by users who marveled at the possibilities it offered. But amid the excitement, many didn’t know what analytics engineering was about. They thought it was about creating data pipelines, designing stunning visualizations, and using advanced algorithms. Oh, how wrong they were!

Applied Embedded Electronics

Whereas most academic textbooks cover the ideal theory of electronics, the approach here is centered on design methods that work in the challenging environment of real-world devices.

Praise for Architecting Data and Machine Learning Platforms

What is a data platform? Why do you need it? What does building a data and machine learning (ML) platform involve? Why should you build your data platform on the cloud? This book starts by answering these common questions that arise when dealing with data and ML projects. We then lay out the strategic journey that we recommend you take to build data and ML capabilities in your business, show you how to execute on each step of that strategy, and wrap up all the concepts in a model data modernization case.

Building a Cyber Risk Management Program

In our professional journeys, we encounter pivotal moments—be it a change of job, a new career path, or the adoption of an innovative perspective—that significantly alter our course. For us, a keen and focused curiosity sparked numerous enlightening dis‐cussions. These discussions laid the groundwork for an essential framework and a proactive, value-centric approach to managing security risks. This evolution of ideas and strategies culminated in the creation of a structured and comprehensive cyber risk management program.