Data Visualization: a successful design process

Andy Kirk, Andy Kirk

Do you want to create more attractive charts? Or do you have huge data sets and need to unearth the key insights in a visual manner? Data visualization is the representation and presentation of data, using proven design techniques to bring alive the patterns, stories and key insights locked away.Data Visualization: a Successful Design Process explores the unique fusion of art and science that is data visualization; a discipline for which instinct alone is insufficient for you to succeed in enabling audiences to discover key trends, insights and discoveries from your data. This book will equip you with the key techniques required to overcome contemporary data visualization challenges. You'll discover a proven design methodology that helps you develop invaluable knowledge and practical capabilities.You'll never again settle for a default Excel chart or resort to fancy-looking graphs. You will be able to work from the starting point of acquiring, preparing and familiarizing with your data, right through to concept design. Choose your killer visual representation to engage and inform your audience.Data Visualization: a Successful Design Process will inspire you to relish any visualization project with greater confidence and bullish know-how; turning challenges into exciting design opportunities.

vBulletin: A Users Guide. Configure, manage and maintain your own vBulletin discussion forum

Kathy Kingsley-Hughes, Adrian Kingsley-Hughes, Ashley Busby

Written specifically to allow you to create a discussion forum, vBulletin, provides all of the tools, features and functionality for you to set up and develop a vibrant community. Because it specializes in this one aspect of your website, all the features are geared towards this goal, and you can leave the improvement and additions to the vBulletin developers while you get on with managing the rest of your website. If you are either already running a community forum based on vBulletin, or are planning on establishing one, then this is the book for you. This book will guide you through installing, configuring, managing and maintaining a vBulletin discussion forum on your own website. The book begins with the initial installation and configuration of vBulletin on your system. You will then go on a tour of vBulletin and its features, for both users and administrators. This will grow your understanding and familiarise you with the power and possibilities of vBulletin. vBulletin's Administration Control Panel is where you can control every aspect of your board. From users, forums and word filters to skins, templates and maintenance, everything can be done through the web-based control panel. The book devotes significant sections to covering these, getting you up to speed on the options available to you, and offering advice to help you make the right choices with your board administration. To make your forums stand out from the rest, we cover skins and templates to take your first steps in customising your forum. vBulletin is one of the most popular forum platforms available. Well known for its power and speed, it drives many of the most popular discussion forums on the Internet.

Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization

Steven Sanderson, David Kun

– Extending Excel with Python and R is a game changer resource written by experts Steven Sanderson, the author of the healthyverse suite of R packages, and David Kun, co-founder of Functional Analytics. – This comprehensive guide transforms the way you work with spreadsheet-based data by integrating Python and R with Excel to automate tasks, execute statistical analysis, and create powerful visualizations. – Working through the chapters, you’ll find out how to perform exploratory data analysis, time series analysis, and even integrate APIs for maximum efficiency. – Both beginners and experts will get everything you need to unlock Excel's full potential and take your data analysis skills to the next level. – By the end of this book, you’ll be able to import data from Excel, manipulate it in R or Python, and perform the data analysis tasks in your preferred framework while pushing the results back to Excel for sharing with others as needed.

SwiftUI Cookbook. Discover solutions and best practices to tackle the most common problems while building SwiftUI apps

Giordano Scalzo, Edgar Nzokwe

SwiftUI is an innovative and simple way to build beautiful user interfaces (UIs) for all Apple platforms, right from iOS and macOS through to watchOS and tvOS, using the Swift programming language. In this recipe-based book, you’ll work with SwiftUI and explore a range of essential techniques and concepts that will help you through the development process. The recipes cover the foundations of SwiftUI as well as the new SwiftUI 2.0 features introduced in iOS 14. Other recipes will help you to make some of the new SwiftUI 2.0 components backward-compatible with iOS 13, such as the Map View or the Sign in with Apple View.The cookbook begins by explaining how to use basic SwiftUI components. Then, you’ll learn the core concepts of UI development such as Views, Controls, Lists, and ScrollViews using practical implementation in Swift. By learning drawings, built-in shapes, and adding animations and transitions, you’ll discover how to add useful features to the SwiftUI. When you’re ready, you’ll understand how to integrate SwiftUI with exciting new components in the Apple development ecosystem, such as Combine for managing events and Core Data for managing app data. Finally, you’ll write iOS, macOS, and watchOS apps while sharing the same SwiftUI codebase.By the end of this SwiftUI book, you'll have discovered a range of simple, direct solutions to common problems found in building SwiftUI apps.

Microsoft SharePoint 2010 Administration Cookbook. Over 90 simple but incredibly effective recipes to administer your SharePoint applications

Peter Serzo

Collaboration and content management are the major business needs of every organization in this increasingly global and connected environment. Microsoft SharePoint is a solution to these needs that offers a software platform that facilitates collaboration and provides content management features for the effective implementation of business processes. With a vast amount of functionality available with SharePoint, it is easy to get confused in carrying out administrative tasks.Microsoft SharePoint 2010 Administration Cookbook starts off by demonstrating the various upgrading and post-upgrading tasks to be performed in SharePoint 2010. Next come recipes for managing SharePoint service-level applications and for monitoring the SharePoint environment. The book introduces one of the best new tools that should be in your arsenal, PowerShell, and the commands you will need to script your tasks with Powershell.Collaboration and content management are the most important features of SharePoint and this book contains many recipes that focus on improving them. Enterprise monitoring and reporting are also covered in detail so that you can ensure that your SharePoint implementation is up and running all the time. You will find recipes to manage and customize SharePoint Search.When you are half way through the book, you will explore more advanced and interesting topics such as customizing and securing the SharePoint environment. You will learn to extend SharePoint to include features similar to social networking sites such as Facebook and Twitter. Lastly, the book covers backup and recovery solutions for SharePoint so that you can ensure that your system is protected from data loss and virus attacks.

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.

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.

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.

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