Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more

Ralph Winters

This is the go-to book for anyone interested in the steps needed to develop predictive analytics solutions with examples from the world of marketing, healthcare, and retail. We'll get startedwith a brief history of predictive analytics and learn about different roles and functions people play within a predictive analytics project. Then, we will learn about various ways of installing R along with their pros and cons, combined with a step-by-step installation of RStudio,and a description of the best practices for organizing your projects.On completing the installation, we will begin to acquire the skills necessary to input, clean, and prepare your data for modeling. We will learn the six specific steps needed to implement andsuccessfully deploy a predictive model starting from asking the right questions through model development and ending with deploying your predictive model into production. We will learn whycollaboration is important and how agile iterative modeling cycles can increase your chances of developing and deploying the best successful model.We will continue your journey in the cloud by extending your skill set by learning about Databricks and SparkR, which allow you to develop predictive models on vast gigabytes of data.

Practical problems for introductory electrical engineering

Redaktor: Jarosław Makal

In this textbook, 203 Problems and 5 Projects are presented. Most of them concern practical cases to increase the student's motivation to broaden their practical knowledge. Answers are provided for all problems and are hidden behind QR codes. This textbook contains also links to simulations, videos and digital documents necessary to better understand and solve problems. It can be used by undergraduate students of first level of electrical and electronics engineering or by teachers for making the lessons closer to our daily life.

Practical Python Programming for IoT. Build advanced IoT projects using a Raspberry Pi 4, MQTT, RESTful APIs, WebSockets, and Python 3

Gary Smart

The age of connected devices is here, be it fitness bands or smart homes. It's now more important than ever to understand how hardware components interact with the internet to collect and analyze user data. The Internet of Things (IoT), combined with the popular open source language Python, can be used to build powerful and intelligent IoT systems with intuitive interfaces.This book consists of three parts, with the first focusing on the Internet component of IoT. You'll get to grips with end-to-end IoT app development to control an LED over the internet, before learning how to build RESTful APIs, WebSocket APIs, and MQTT services in Python. The second part delves into the fundamentals behind electronics and GPIO interfacing. As you progress to the last part, you'll focus on the Things aspect of IoT, where you will learn how to connect and control a range of electronic sensors and actuators using Python. You'll also explore a variety of topics, such as motor control, ultrasonic sensors, and temperature measurement. Finally, you'll get up to speed with advanced IoT programming techniques in Python, integrate with IoT visualization and automation platforms, and build a comprehensive IoT project.By the end of this book, you'll be well-versed with IoT development and have the knowledge you need to build sophisticated IoT systems using Python.

Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

Shilpi Saxena, Saurabh Gupta

With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible.This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you’ll be equipped with a clear understanding of how to solve challenges on your own.We’ll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You’ll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case.By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner.

Practical Remote Pair Programming. Best practices for collaborating productively with distributed development teams

Adrian Bolboacă

Remote pair programming takes pair programming practices to the next level by allowing you and your team members to work effectively in distributed teams. This helps ensure that you continuously improve code quality, share equal ownership of the code, facilitate knowledge sharing, and reduce bugs in your code. If you want to adopt remote pair programming within your development team, this book is for you.Practical Remote Pair Programming takes you through various techniques and best practices for working with the wide variety of tools available for remote pair programming. You'll understand the significance of pair programming and how it can help improve communication within your team. As you advance, you’ll get to grips with different remote pair programming strategies and find out how to choose the most suitable style for your team and organization. The book will take you through the process of setting up video and audio tools, screen sharing tools, and the integrated development environment (IDE) for your remote pair programming setup. You'll also be able to enhance your remote pair programming experience with source control and remote access tools.By the end of this book, you'll have the confidence to drive the change of embracing remote pair programming in your organization and guide your peers to improve productivity while working remotely.

Practical Responsive Typography. A hands on guide to responsive typography

Dario Calonaci

Typography is an essential part of any website’s design. It can help you stand out from the crowd, communicate with clarity, and cultivate a distinctive identity.Practical Responsive Typography demonstrates how to use typography to greatest effect. With this book you won't underestimate it's importance - you'll be in complete control over this crucial component of web design. From scaling and optimizing screen spaces to using a range of different web fonts, you'll quickly get up to speed with the practical considerations behind successful typography.But more than the fundamentals, you'll also find out how to go further by customizing typography designs to suit your identity.

Practical Security Automation and Testing. Tools and techniques for automated security scanning and testing in DevSecOps

Tony Hsiang-Chih Hsu

Security automation is the automatic handling of software security assessments tasks. This book helps you to build your security automation framework to scan for vulnerabilities without human intervention.This book will teach you to adopt security automation techniques to continuously improve your entire software development and security testing. You will learn to use open source tools and techniques to integrate security testing tools directly into your CI/CD framework. With this book, you will see how to implement security inspection at every layer, such as secure code inspection, fuzz testing, Rest API, privacy, infrastructure security, and web UI testing. With the help of practical examples, this book will teach you to implement the combination of automation and Security in DevOps. You will learn about the integration of security testing results for an overall security status for projects.By the end of this book, you will be confident implementing automation security in all layers of your software development stages and will be able to build your own in-house security automation platform throughout your mobile and cloud releases.

Practical Serverless and Microservices with C#. Build resilient and secure microservices with the .NET stack and embrace serverless development in Azure

Gabriel Baptista, Francesco Abbruzzese

From the authors of the Software Architecture with C# and .NET series comes this practical and grounded showcase of microservices using the .NET stack. Written for .NET developers entering the world of modern cloud and distributed applications, it shows you when microservices and serverless architectures are the right choice for building scalable enterprise solutions and when they’re not. You’ll gain a realistic understanding of their use cases and limitations. Rather than promoting microservices as a one-size-fits-all solution, it encourages thoughtful adoption based on real-world needs.Following a brief introduction and important setup, the book helps you prepare for practical application through examples such as a ride-sharing website. You’ll work with Docker, Kubernetes, Azure Container Apps, and the new .NET Aspire with considerations for security, observability, and cost management. The book culminates in a complete event-driven application that brings together everything you've covered.By the end of the book, you’ll have a well-rounded understanding of cloud and distributed .NET—viewed through the lens of two industry veterans.

Practical SharePoint Framework (SPFx) Development. Build modern, scalable, and efficient business solutions for SharePoint and Microsoft 365

Franck Cornu, Anoop T., Vesa Juvonen

The SharePoint Framework (SPFx) has revolutionized how developers create custom solutions for Microsoft 365. Whether you're building Web Parts, extensions, or full-fledged applications, mastering SPFx is essential for delivering modern and scalable SharePoint solutions.Authored by experienced SPFx developers, this book serves as a comprehensive guide to developing with SPFx, offering practical examples, structured guidance, and best practices. You’ll start by understanding the Microsoft SharePoint and Microsoft 365 ecosystem before exploring hands-on development with SPFx. You’ll learn how to create Web Parts, work with the property pane, connect to APIs, deploy solutions, and implement different types of extensions. Additionally, the book covers debugging, testing, and upgrading solutions efficiently.By the end of this book, you’ll be able to confidently build, deploy, and manage SharePoint solutions using SPFx while leveraging community tools and libraries to enhance development efficiency.

Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE

Pethuru Raj Chelliah, Shreyash Naithani, Shailender Singh

Site reliability engineering (SRE) is being touted as the most competent paradigm in establishing and ensuring next-generation high-quality software solutions.This book starts by introducing you to the SRE paradigm and covers the need for highly reliable IT platforms and infrastructures. As you make your way through the next set of chapters, you will learn to develop microservices using Spring Boot and make use of RESTful frameworks. You will also learn about GitHub for deployment, containerization, and Docker containers. Practical Site Reliability Engineering teaches you to set up and sustain containerized cloud environments, and also covers architectural and design patterns and reliability implementation techniques such as reactive programming, and languages such as Ballerina and Rust. In the concluding chapters, you will get well-versed with service mesh solutions such as Istio and Linkerd, and understand service resilience test practices, API gateways, and edge/fog computing.By the end of this book, you will have gained experience on working with SRE concepts and be able to deliver highly reliable apps and services.

Practical System Programming for Rust Developers. Build fast and secure software for Linux/Unix systems with the help of practical examples

Prabhu Eshwarla

Modern programming languages such as Python, JavaScript, and Java have become increasingly accepted for application-level programming, but for systems programming, C and C++ are predominantly used due to the need for low-level control of system resources. Rust promises the best of both worlds: the type safety of Java, and the speed and expressiveness of C++, while also including memory safety without a garbage collector. This book is a comprehensive introduction if you’re new to Rust and systems programming and are looking to build reliable and efficient systems software without C or C++.The book takes a unique approach by starting each topic with Linux kernel concepts and APIs relevant to that topic. You’ll also explore how system resources can be controlled from Rust. As you progress, you’ll delve into advanced topics. You’ll cover network programming, focusing on aspects such as working with low-level network primitives and protocols in Rust, before going on to learn how to use and compile Rust with WebAssembly. Later chapters will take you through practical code examples and projects to help you build on your knowledge.By the end of this Rust programming book, you will be equipped with practical skills to write systems software tools, libraries, and utilities in Rust.

Practical Test-Driven Development using C# 7. Unleash the power of TDD by implementing real world examples under .NET environment and JavaScript

John Callaway, Clayton Hunt

Test-Driven Development (TDD) is a methodology that helps you to write as little as code as possible to satisfy software requirements, and ensures that what you've written does what it's supposed to do. If you're looking for a practical resource on Test-Driven Development this is the book for you. You've found a practical end-to-end guide that will help you implement Test-Driven Techniques for your software development projects.You will learn from industry standard patterns and practices, and shift from a conventional approach to a modern and efficient software testing approach in C# and JavaScript. This book starts with the basics of TDD and the components of a simple unit test. Then we look at setting up the testing framework so that you can easily run your tests in your development environment. You will then see the importance of defining and testing boundaries, abstracting away third-party code (including the .NET Framework), and working with different types of test double such as spies, mocks, and fakes.Moving on, you will learn how to think like a TDD developer when it comes to application development. Next, you'll focus on writing tests for new/changing requirements and covering newly discovered bugs, along with how to test JavaScript applications and perform integration testing. You’ll also learn how to identify code that is inherently un-testable, and identify some of the major problems with legacy applications that weren’t written with testability in mind. By the end of the book, you’ll have all the TDD skills you'll need and you’ll be able to re-enter the world as a TDD expert!

Practical Threat Detection Engineering. A hands-on guide to planning, developing, and validating detection capabilities

Megan Roddie, Jason Deyalsingh, Gary J. Katz

Threat validation is the backbone of every strong security detection strategy—it ensures your detection pipeline is effective, reliable, and resilient against real-world threats.This comprehensive guide is designed for those new to detection validation, offering clear, actionable frameworks to help you assess, test, and refine your security detections with confidence. Covering the entire detection lifecycle, from development to validation, this book provides real-world examples, hands-on tutorials, and practical projects to solidify your skills.Beyond just technical know-how, this book empowers you to build a career in detection engineering, equipping you with the essential expertise to thrive in today’s cybersecurity landscape.By the end of this book, you'll have the tools and knowledge to fortify your organization’s defenses, enhance detection accuracy, and stay ahead of cyber threats.

Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools

Valentina Costa-Gazcón

Threat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business.This book is not only an introduction for those who don’t know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch.You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you’ll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework.By the end of this book, you’ll have the skills you need to be able to carry out effective hunts in your own environment.

Practical Threat Intelligence and Data-Driven Threat Hunting. Elevate your cybersecurity efforts, enhance detection, and defend with ATT&CK™ & open tools - Second Edition

Valentina Costa-Gazcón

Practical Threat Intelligence and Data-Driven Threat Hunting, 2nd edition is more than just a book—it's your roadmap to becoming a proficient threat hunter and a valuable asset to your organization's cybersecurity efforts. Whether you're looking to start a career in cyber intelligence or seeking to enhance your existing skills, this book equips you with the knowledge and practical insights needed to proactively detect and thwart cyber threats. With a strong focus on hands-on learning and open-source tools, it's your ultimate guide to staying ahead in the ever-changing world of cybersecurity. You'll start by unraveling the core concepts of cyber threat intelligence, diving into the intricacies of threat intelligence cycles and understanding the nuances of advanced persistent threats. From there, you'll learn how to collect and analyze indicators of compromise, set up a centralized threat hunting environment using open-source tools, and develop hypotheses for hunting campaigns. The book will also guide you through the MITRE ATT&CK Framework, providing practical examples and hands-on experience.Don't wait for threats to knock on your door. Be the hunter, not the hunted. Get your copy of Practical Threat Intelligence and Data-Driven Threat Hunting, 2nd edition and empower yourself to defend against cyber adversaries effectively.

Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python

Avishek Pal, PKS Prakash

Time Series Analysis allows us to analyze data which is generated over a period of time and has sequential interdependencies between the observations. This book describes special mathematical tricks and techniques which are geared towards exploring the internal structures of time series data and generating powerful descriptive and predictive insights. Also, the book is full of real-life examples of time series and their analyses using cutting-edge solutions developed in Python. The book starts with descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality, and autocorrelation. Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described. This is followed by exponential smoothing to produce meaningful insights from noisy time series data. At this point, we shift focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting. Later, powerful deep learning methods are presented, to develop accurate forecasting models for complex time series, and under the availability of little domain knowledge. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python.The book concludes with the Appendix, with a brief discussion of programming and solving data science problems using Python.