Mathematica Data Visualization. Create and prototype interactive data visualizations using Mathematica

Nazmus Saquib

Cloud Auditing Best Practices. Perform Security and IT Audits across AWS, Azure, and GCP by building effective cloud auditing plans

Shinesa Cambric, Michael Ratemo

As more and more companies are moving to cloud and multi-cloud environments, being able to assess the compliance of these environments properly is becoming more important. But in this fast-moving domain, getting the most up-to-date information is a challenge—so where do you turn?Cloud Auditing Best Practices has all the information you’ll need. With an explanation of the fundamental concepts and hands-on walk-throughs of the three big cloud players, this audiobook will get you up to speed with cloud auditing before you know it.After a quick introduction to cloud architecture and an understanding of the importance of performing cloud control assessments, you’ll quickly get to grips with navigating AWS, Azure, and GCP cloud environments. As you explore the vital role an IT auditor plays in any company’s network, you'll learn how to successfully build cloud IT auditing programs, including using standard tools such as Terraform, Azure Automation, AWS Policy Sentry, and many more.You’ll also get plenty of tips and tricks for preparing an effective and advanced audit and understanding how to monitor and assess cloud environments using standard tools.By the end of this audiobook, you will be able to confidently apply and assess security controls for AWS, Azure, and GCP, allowing you to independently and effectively confirm compliance in the cloud.

Interactive Data Visualization with Python. Present your data as an effective and compelling story - Second Edition

Abha Belorkar, Sharath Chandra Guntuku, Shubhangi Hora, Anshu Kumar

With so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python.You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model.By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories.

Python Data Analysis. Learn how to apply powerful data analysis techniques with popular open source Python modules

Ivan Idris

Hands-On Genetic Algorithms with Python. Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems

Eyal Wirsansky

Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence.After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications.By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains.

Mastering Ethereum. Implement advanced blockchain applications using Ethereum-supported tools, services, and protocols

Merunas Grincalaitis

Ethereum is one of the commonly used platforms for building blockchain applications. It's a decentralized platform for applications that can run exactly as programmed without being affected by fraud, censorship, or third-party interference.This book will give you a deep understanding of how blockchain works so that you can discover the entire ecosystem, core components, and its implementations. You will get started by understanding how to configure and work with various Ethereum protocols for developing dApps. Next, you will learn to code and create powerful smart contracts that scale with Solidity and Vyper. You will then explore the building blocks of the dApps architecture, and gain insights on how to create your own dApp through a variety of real-world examples. The book will even guide you on how to deploy your dApps on multiple Ethereum instances with the required best practices and techniques. The next few chapters will delve into advanced topics such as, building advanced smart contracts and multi-page frontends using Ethereum blockchain. You will also focus on implementing machine learning techniques to build decentralized autonomous applications, in addition to covering several use cases across a variety of domains such as, social media and e-commerce. By the end of this book, you will have the expertise you need to build decentralized autonomous applications confidently.

Mastering Embedded Linux Programming. Harness the power of Linux to create versatile and robust embedded solutions

Chris Simmonds

Mastering Embedded Linux Programming takes you through the product cycle and gives you an in-depth description of the components and options that are available at each stage. You will begin by learning about toolchains, bootloaders, the Linux kernel, and how to configure a root filesystem to create a basic working device. You will then learn how to use the two most commonly used build systems, Buildroot and Yocto, to speed up and simplify the development process. Building on this solid base, the next section considers how to make best use of raw NAND/NOR flash memory and managed flash eMMC chips, including mechanisms for increasing the lifetime of the devices and to perform reliable in-field updates. Next, you need to consider what techniques are best suited to writing applications for your device. We will then see how functions are split between processes and the usage of POSIX threads, which have a big impact on the responsiveness and performance of the final device The closing sections look at the techniques available to developers for profiling and tracing applications and kernel code using perf and ftrace.

Mastering JavaScript. Explore and master modern JavaScript techniques in order to build large-scale web applications

Ved Antani

JavaScript is a high-level, dynamic, untyped, lightweight, and interpreted programming language. Along with HTML and CSS, it is one of the three essential technologies of World Wide Web content production, and is an open source and cross-platform technology. The majority of websites employ JavaScript, and it is well supported by all modern web browsers without plugins. However, the JavaScript landscape has changed dramatically in recent years, and you need to adapt to the new world of JavaScript that people now expect. Mastering modern JavaScript techniques and the toolchain are essential to develop web-scale applications. Mastering JavaScript will be your companion as you master JavaScript and build innovative web applications. To begin with, you will get familiarized with the language constructs and how to make code easy to organize. You will gain a concrete understanding of variable scoping, loops, and best practices on using types and data structures, as well as the coding style and recommended code organization patterns in JavaScript. The book will also teach you how to use arrays and objects as data structures. You will graduate from intermediate-level skills to advanced techniques as you come to understand crucial language concepts and design principles. You will learn about modern libraries and tools so you can write better code. By the end of the book, you will understand how reactive JavaScript is going to be the new paradigm.