Cybersecurity Threats, Malware Trends, and Strategies. Learn to mitigate exploits, malware, phishing, and other social engineering attacks

Tim Rains

After scrutinizing numerous cybersecurity strategies, Microsoft’s former Global Chief Security Advisor in this book helps you understand the efficacy of popular cybersecurity strategies and more.Cybersecurity Threats, Malware Trends, and Strategies offers an unprecedented long-term view of the global threat landscape by examining the twenty-year trend in vulnerability disclosures and exploitation, nearly a decade of regional differences in malware infections, the socio-economic factors that underpin them, and how global malware has evolved. This will give you further perspectives into malware protection for your organization. It also examines internet-based threats that CISOs should be aware of.The book will provide you with an evaluation of the various cybersecurity strategies that have ultimately failed over the past twenty years, along with one or two that have actually worked. It will help executives and security and compliance professionals understand how cloud computing is a game changer for them.By the end of this book, you will know how to measure the effectiveness of your organization’s cybersecurity strategy and the efficacy of the vendors you employ to help you protect your organization and yourself.

Git Version Control Cookbook. 90 hands-on recipes that will increase your productivity when using Git as a version control system

Aske Olsson, Rasmus Voss

Learning Force.com Application Development. Use the Force.com platform to design and develop real-world, cutting-edge cloud applications

Chamil Madusanka

Operationalizing Threat Intelligence. A guide to developing and operationalizing cyber threat intelligence programs

Kyle Wilhoit, Joseph Opacki

We’re living in an era where cyber threat intelligence is becoming more important. Cyber threat intelligence routinely informs tactical and strategic decision-making throughout organizational operations. However, finding the right resources on the fundamentals of operationalizing a threat intelligence function can be challenging, and that’s where this book helps.In Operationalizing Threat Intelligence, you’ll explore cyber threat intelligence in five fundamental areas: defining threat intelligence, developing threat intelligence, collecting threat intelligence, enrichment and analysis, and finally production of threat intelligence. You’ll start by finding out what threat intelligence is and where it can be applied. Next, you’ll discover techniques for performing cyber threat intelligence collection and analysis using open source tools. The book also examines commonly used frameworks and policies as well as fundamental operational security concepts. Later, you’ll focus on enriching and analyzing threat intelligence through pivoting and threat hunting. Finally, you’ll examine detailed mechanisms for the production of intelligence.By the end of this book, you’ll be equipped with the right tools and understand what it takes to operationalize your own threat intelligence function, from collection to production.

Mastering Data Mining with Python - Find patterns hidden in your data. Find patterns hidden in your data

Megan Squire

Data mining is an integral part of the data science pipeline. It is the foundation of any successful data-driven strategy – without it, you'll never be able to uncover truly transformative insights. Since data is vital to just about every modern organization, it is worth taking the next step to unlock even greater value and more meaningful understanding.If you already know the fundamentals of data mining with Python, you are now ready to experiment with more interesting, advanced data analytics techniques using Python's easy-to-use interface and extensive range of libraries. In this book, you'll go deeper into many often overlooked areas of data mining, including association rule mining, entity matching, network mining, sentiment analysis, named entity recognition, text summarization, topic modeling, and anomaly detection. For each data mining technique, we'll review the state-of-the-art and current best practices before comparing a wide variety of strategies for solving each problem. We will then implement example solutions using real-world data from the domain of software engineering, and we will spend time learning how to understand and interpret the results we get.By the end of this book, you will have solid experience implementing some of the most interesting and relevant data mining techniques available today, and you will have achieved a greater fluency in the important field of Python data analytics.

Learn Grafana 7.0. A beginner's guide to getting well versed in analytics, interactive dashboards, and monitoring

Eric Salituro

Grafana is an open-source analytical platform used to analyze and monitoring time-series data. This beginner's guide will help you get to grips with Grafana's new features for querying, visualizing, and exploring metrics and logs no matter where they are stored.The book begins by showing you how to install and set up the Grafana server. You'll explore the working mechanism of various components of the Grafana interface along with its security features, and learn how to visualize and monitor data using, InfluxDB, Prometheus, Logstash, and Elasticsearch. This Grafana book covers the advanced features of the Graph panel and shows you how Stat, Table, Bar Gauge, and Text are used. You'll build dynamic dashboards to perform end-to-end analytics and label and organize dashboards into folders to make them easier to find. As you progress, the book delves into the administrative aspects of Grafana by creating alerts, setting permissions for teams, and implementing user authentication. Along with exploring Grafana's multi-cloud monitoring support, you'll also learn about Grafana Loki, which is a backend logger for users running Prometheus and Kubernetes.By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards.

Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems

Gregory Keys, David Whiting

H2O is an open source, fast, and scalable machine learning framework that allows you to build models using big data and then easily productionalize them in diverse enterprise environments.Machine Learning at Scale with H2O begins with an overview of the challenges faced in building machine learning models on large enterprise systems, and then addresses how H2O helps you to overcome them. You’ll start by exploring H2O’s in-memory distributed architecture and find out how it enables you to build highly accurate and explainable models on massive datasets using your favorite ML algorithms, language, and IDE. You’ll also get to grips with the seamless integration of H2O model building and deployment with Spark using H2O Sparkling Water. You’ll then learn how to easily deploy models with H2O MOJO. Next, the book shows you how H2O Enterprise Steam handles admin configurations and user management, and then helps you to identify different stakeholder perspectives that a data scientist must understand in order to succeed in an enterprise setting. Finally, you’ll be introduced to the H2O AI Cloud platform and explore the entire machine learning life cycle using multiple advanced AI capabilities.By the end of this book, you’ll be able to build and deploy advanced, state-of-the-art machine learning models for your business needs.

Symfony 1.3 Web Application Development. Design, develop, and deploy feature-rich, high-performance PHP web applications using the Symfony framework

Tim Bowler, Sensio (Fabien Potencier), Wojciech Bancer

With its flexible architecture, the Symfony framework allows you to build modern web applications and web services easily and rapidly. The MVC components separate the logic from the user interface and therefore make developing, changing, and testing your applications much faster. Using Symfony you can minimize repetitive coding tasks, optimize performance, and easily integrate with other libraries and frameworks.Although this framework contains with many powerful features, most developers do not exploit Symfony to its full potential.This book makes it easy to get started and produce a powerful and professional-looking web site utilizing the many features of Symfony. Taking you through a real-life application, it covers all major Symfony framework features without pushing you into too much theoretical detail, as well as throwing some light on the best practices for rapid application development.This book takes you through detailed examples as well as covering the foundations that you will need to get the most out of the Symfony framework. You will learn to shorten the development time of your complex applications and maintain them with ease. You will create several useful plug-ins and add them to your application and automate common tasks. The book also covers best practices and discussions on security and optimization. You will learn to utilize all major features of this framework by implementing them in your application.By the end, you should have a good understanding of the development features of Symfony (for Propel as well as Doctrine editions), and be able to deploy a high-performance web site quite easily.

Mastering Magento Theme Design. Magento is the super-capable open source e-commerce platform that’s number one for a reason. By using this book to optimize your know-how, you’ll be acquiring the ultimate in e-tail expertise for yourself and your clients

Andrea Sacca

Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Soledad Galli

Feature engineering is invaluable for developing and enriching your machine learning models. In this cookbook, you will work with the best tools to streamline your feature engineering pipelines and techniques and simplify and improve the quality of your code.Using Python libraries such as pandas, scikit-learn, Featuretools, and Feature-engine, you’ll learn how to work with both continuous and discrete datasets and be able to transform features from unstructured datasets. You will develop the skills necessary to select the best features as well as the most suitable extraction techniques. This book will cover Python recipes that will help you automate feature engineering to simplify complex processes. You’ll also get to grips with different feature engineering strategies, such as the box-cox transform, power transform, and log transform across machine learning, reinforcement learning, and natural language processing (NLP) domains.By the end of this book, you’ll have discovered tips and practical solutions to all of your feature engineering problems.

Optimizing Microsoft Azure Workloads. Leverage the Well-Architected Framework to boost performance, scalability, and cost efficiency

Rithin Skaria, Jatinder Pal Singh

It’s easy to learn and deploy resources in Microsoft Azure, without worrying about resource optimization. However, for production or mission critical workloads, it’s crucial that you follow best practices for resource deployment to attain security, reliability, operational excellence and performance. Apart from these aspects, you need to account for cost considerations, as it’s the leading reason for almost every organization’s cloud transformation.In this book, you’ll learn to leverage Microsoft Well-Architected Framework to optimize your workloads in Azure. This Framework is a set of recommended practices developed by Microsoft based on five aligned pillars; cost optimization, performance, reliability, operational excellence, and security. You’ll explore each of these pillars and discover how to perform an assessment to determine the quality of your existing workloads. Through the book, you’ll uncover different design patterns and procedures related to each of the Well-Architected Framework pillars.By the end of this book, you’ll be well-equipped to collect and assess data from an Azure environment and perform the necessary upturn of your Azure workloads.

Learning AirWatch. Learn to implement, manage, and deploy the latest Enterprise Mobility Management (EMM) platform offered by AirWatch

Mark Dunkerley, Mark Dunkerley

SvelteKit Up and Running. Leverage the power of a next-generation web framework to build high-performance web apps with ease

Dylan Hildenbrand

The JavaScript ecosystem has grown vast, complex, and daunting for newcomers. Fortunately, SvelteKit has emerged, simplifying the process of building JavaScript-based web applications. This book aims to demystify SvelteKit, making it as approachable as it makes web app development.With SvelteKit Up and Running you’ll be introduced to the philosophy and technologies underlying SvelteKit. First, you’ll follow a standard educational programming approach, progressing to a 'Hello World' application. Next, you’ll explore the fundamental routing techniques, data loading management, and user submission, all through real-world scenarios commonly encountered in day-to-day development, before discovering various adapters employed by SvelteKit to seamlessly integrate with diverse environments. You’ll also delve into advanced concepts like dynamic route management, error handling, and leveraging SvelteKit to optimize SEO and accessibility.By the end of this book, you’ll have mastered SvelteKit and will be well-equipped to navigate the complexities of web app development.

Supercharge Your Applications with GraalVM. Hands-on examples to optimize and extend your code using GraalVM's high performance and polyglot capabilities

A B Vijay Kumar

GraalVM is a universal virtual machine that allows programmers to compile and run applications written in both JVM and non-JVM languages. It improves the performance and efficiency of applications, making it an ideal companion for cloud-native or microservices-based applications.This book is a hands-on guide, with step-by-step instructions on how to work with GraalVM. Starting with a quick introduction to the GraalVM architecture and how things work under the hood, you'll discover the performance benefits of running your Java applications on GraalVM. You'll then learn how to create native images and understand how AOT (ahead-of-time) can improve application performance significantly. The book covers examples of building polyglot applications that will help you explore the interoperability between languages running on the same VM. You'll also see how you can use the Truffle framework to implement any language of your choice to run optimally on GraalVM.By the end of this book, you'll not only have learned how GraalVM is beneficial in cloud-native and microservices development but also how to leverage its capabilities to create high-performing polyglot applications.

Introduction to R for Quantitative Finance. R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike

Gergely Daróczi, Michael Puhle, Edina Berlinger (EURO), Daniel Daniel Havran, ...

Introduction to R for Quantitative Finance will show you how to solve real-world quantitative fi nance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to fi nancial networks. Each chapter briefl y presents the theory behind specific concepts and deals with solving a diverse range of problems using R with the help of practical examples.This book will be your guide on how to use and master R in order to solve quantitative finance problems. This book covers the essentials of quantitative finance, taking you through a number of clear and practical examples in R that will not only help you to understand the theory, but how to effectively deal with your own real-life problems.Starting with time series analysis, you will also learn how to optimize portfolios and how asset pricing models work. The book then covers fixed income securities and derivatives such as credit risk management.

Implementing AppFog. Getting to grips with the AppFog service is easily achieved with this hands-on guide, which walks you through creating and deploying applications to the cloud. You'll be developing your first application in minutes

Matthew Nohr, Isaac Rabinovitch

AppFog is the leading platform-as-a-service provider of PHP, Ruby, Node.js, and Java solutions. It is used by developers worldwide to deploy tens of thousands of applications. AppFog delivers a reliable, scalable, and fast platform for deploying applications in the cloud.This book is a hands-on guide that will walk you through creating and deploying applications to the cloud using AppFog, which will allow you to get your application deployed without the hassle of setting up servers.This book demonstrates how to use the AppFog service to build an application and have it running in the Cloud. It will walk you through the initial AppFog setup process and explain how to create your first application in minutes.You will also discover how to use services such as databases to make your applications more powerful. You will also learn how to create applications from scratch.You will find out everything you need to know to get an application running in the cloud for the first time.

KnockoutJS Blueprints. Learn how to design and create amazing web applications using KnockoutJS

Carlo Russo

Ruby on Rails Web Mashup Projects. A step-by-step tutorial to building web mashups

Chang Sau Sheong, David Heinemeier Hansson

Learning Geospatial Analysis with Python. Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7 - Third Edition

Joel Lawhead

Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python.This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data.By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.

Banana Pi Cookbook. Over 25 recipes to build projects and applications for multiple platforms with Banana Pi

Ryad El-Dajani

Full-Stack Web Development with TypeScript 5. Craft modern full-stack projects with Bun, PostgreSQL, Svelte, TypeScript, and OpenAI

Mykyta Chernenko, Artem Korchunov

This book takes you on a journey with TypeScript 5, introducing its nuances and advantages over traditional JavaScript, explaining TypeScript basics, and highlighting the syntax, typing, generics, classes, and interfaces. Expert advice will help you build your understanding of TypeScript's role in modern web applications. You'll gain hands-on experience with the tools required to write full-stack web applications end to end, beginning with setting up the Bun environment for backend development. This book also explores server-side functionality such as authentication, routing, and database integration with PostgreSQL. The second part of the book focuses on the integration of the OpenAI API, demonstrating the use of the GPT API for different use cases. The final part covers frontend development using Svelte, guiding you through UI design, state management, and performance optimization. Each chapter has real-world examples and comparisons to other technologies, providing you with a comprehensive understanding of full-stack development.By the end of this book, you'll have learned how to build modern web applications using TypeScript 5 and confidently tackle full-stack development challenges.

Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks

Jay Dawani

Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models.You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you’ll explore CNN, recurrent neural network (RNN), and GAN models and their application.By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL.

Clojure High Performance Programming. Become an expert at writing fast and high performant code in Clojure 1.7.0 - Second Edition

Shantanu Kumar

Mastering MariaDB. Debug, secure, and back up your data for optimum server performance with MariaDB

Federico Razzoli