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Podcasts
Matt Williamson, Matthew D Williamson
pfSense is an open source distribution of FreeBSD-based firewall that provides a platform for flexible and powerful routing and firewalling. The versatility of pfSense presents us with a wide array of configuration options, which makes determining requirements a little more difficult and a lot more important, compared to other offerings. Through this book you will see that pfSense offers numerous alternatives to fit any environment's security needs.pfSense 2.0 Cookbook is the first and only book to explore all the features of pfSense, including those released in the latest 2.0 version. With the help of step-by-step instructions and detailed screenshots of the pfSense interface you will be able to configure every general and advanced feature from creating a firewall rule to configuring multi-WAN failover. Each recipe includes tips and offers advice on variations of the topic or references to other related recipes and additional information that can be found from other sources.pfSense 2.0 Cookbook covers the gamut of available features and functionality. The first three chapters will take you from a non-existent system to a basic pfSense firewall. The next chapter focuses on configuring any number of the VPN services available, a very important and sought-after feature for anyone implementing a firewall. The following two chapters describe how to configure the most advanced features available in pfSense; features that may only be relevant to the most experienced network admins. Chapter 7 is dedicated to understanding and configuring the grab-bag of features that are available in pfSense, but are often stand-alone options and unrelated to each other. The first appendix explains how to use the status monitoring tools available for many of the features. The second appendix wraps up with helping you to decide how and where pfSense may be incorporated into your system and what type of hardware is required based on your throughput needs.
The Tableau Workshop. A practical guide to the art of data visualization with Tableau
Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, JC Gillet, ...
Learning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience.As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users.All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays.By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions.
Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, ...
AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks.Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code. Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.
Practical Memory Forensics. Jumpstart effective forensic analysis of volatile memory
Svetlana Ostrovskaya, Oleg Skulkin
Memory Forensics is a powerful analysis technique that can be used in different areas, from incident response to malware analysis. With memory forensics, you can not only gain key insights into the user's context but also look for unique traces of malware, in some cases, to piece together the puzzle of a sophisticated targeted attack.Starting with an introduction to memory forensics, this book will gradually take you through more modern concepts of hunting and investigating advanced malware using free tools and memory analysis frameworks. This book takes a practical approach and uses memory images from real incidents to help you gain a better understanding of the subject and develop the skills required to investigate and respond to malware-related incidents and complex targeted attacks. You'll cover Windows, Linux, and macOS internals and explore techniques and tools to detect, investigate, and hunt threats using memory forensics. Equipped with this knowledge, you'll be able to create and analyze memory dumps on your own, examine user activity, detect traces of fileless and memory-based malware, and reconstruct the actions taken by threat actors.By the end of this book, you'll be well-versed in memory forensics and have gained hands-on experience of using various tools associated with it.
Hybrid Apps are a promising choice in mobile app development to achieve cost effectiveness and rapid development. However, they were not preferred over native apps until few years back due to a poor performance and bad user experience, but everything has changed with the release of Ionic. It has evolved as the most popular choice for Hybrid Mobile App development as it tends to match the native experience and provides robust components/tools to build apps.Getting Started with Ionic equips any web developer with the basic knowledge needed to use modern web technologies to build amazing hybrid mobile apps using Ionic. This fast-paced, practical book explains all the important concepts of AngularJS and Cordova Framework required to develop apps, then gives you a brief introduction to hybrid mobile applications. It will guide you through setting up the environment to develop mobile apps, and through the multiple options and features available in Ionic so you can use them in your mobile apps. Features such as the Side Menu, Tabs, Touch Interactions, and native features such as Bar Code, Camera, and Geolocations are all covered.. Finally, we’ll show you how to use Cordova plugins and publish your apps.
You may have got your first Django developer job after a six-week bootcamp or online course, and that’s great, but what’s next? In small companies, mentorship can be hard to come by and gaining the traits of a senior developer without that can take a long time. This is precisely where Django in Production comes into play.This book will first delve into the true meaning of good practice and help you understand the rationale behind industry professionals building websites in specific ways to develop a solid foundation for your Django projects. Next, you will uncover hidden Django secrets through hands-on exploration, leveraging the power of Docker and version control to your advantage. You will gain insights into mastering Git hooks for efficient code maintenance, establishing a robust CI pipeline, and harnessing the capabilities of AWS Beanstalk. These tools will empower you to develop highly scalable products—an essential skill set for aspiring developers transitioning from junior to senior roles. Later, you will understand the significance of monitoring and be introduced to industry-standard tools utilized by professionals for effective monitoring practices.By the end of this book, you will have set yourself apart from the crowd, equipped with the knowledge and expertise to thrive as a seasoned Django developer.
Think of this book as Agile for Dummies (or Agile for anyone and everyone). This Agile book will allow you to master the most important concepts of Agile development, Agile project delivery, and Agile project management. This mini book has been designed to enable you to manage your projects in an Agile way.This mini book will walk you through the fundamentals, principles, and key concepts of Agile, Agile project management, and Agile Delivery.The book includes valuable resources, graphics, and examples that will allow you to grasp the key essence of Agile, Agile rituals, Agile practices, Agile concepts, and the key differences between Agile and traditional project management.After reading this book, you will have a thorough understanding of Agile and how to put Agile into practice at work and in your personal projects.
Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance. In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards.After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence.