Scala Data Analysis Cookbook. Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes

Arun Manivannan

This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits.Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you’ll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX.

SAP BusinessObjects Dashboards 4.1 Cookbook. Over 100 simple and incredibly effective recipes to help transform your static business data into exciting dashboards filled with dynamic charts and graphics

David Lai, XJ Hacking, David Lai, Xavier Jean-Marie Hacking

Modernizing Legacy Applications to Microsoft Azure. Plan and execute your modernization journey seamlessly

Steve Read, Larry Mead, Bob Ellsworth

Organizations have varying circumstances, objectives, and prerequisites when contemplating a hyper-scale cloud solution transformation to a platform such as Azure. Modernizing Legacy Applications to Microsoft Azure uncovers potential scenarios and provides choices, methodologies, techniques, and prospective possibilities for transitioning from legacy applications to the Microsoft Azure environment.You’ll start by understanding the legacy systems and the main concerns regarding migration. Then, you’ll investigate why distributed architectures are compelling and the various components of the Azure platform needed during migration. After that, you’ll explore the approaches to modernizing legacy applications and the Rs of modernizing (i.e., rehost, refactor, rearchitect, and retire). You’ll also learn about integration approaches and potential pitfalls.By the end of this book, you’ll be well equipped to modernize your legacy workloads while being aware of pitfalls and best practices.

Mastering VMware Horizon 7.8. Master desktop virtualization to optimize your end user experience - Third Edition

Peter von Oven, Barry Coombs

Desktop virtualization can be tough, but VMware Horizon 7.8 changes all that. With a rich and adaptive UX, improved security,and a range of useful features for storage and networking optimization, there's plenty to love.But to properly fall in love with it, you need to know how to use it, and that means venturing deeper into the software and taking advantage of its extensive range of features, many of which are underused and underpromoted. This guide will take you through everything you need to know to not only successfully virtualize your desktop infrastructure, but also to maintain and optimize it to keep all your users happy.We'll show you how to assess and analyze your infrastructure, and how to use that analysis to design a solution that meets your organizational and user needs. Once you've done that, you'll find out how to build your virtualized environment, before deploying your virtualized solution. But more than that,we'll also make sure you know everything you need to know about the full range of features on offer, including the mobile cloud, so that you can use them to take full control of your virtualized infrastructure.

Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn

Stephen Klosterman

Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools, by applying them to realistic data problems. You will learn how to use pandas and Matplotlib to critically examine datasets with summary statistics and graphs, and extract the insights you seek to derive. You will build your knowledge as you prepare data using the scikit-learn package and feed it to machine learning algorithms such as regularized logistic regression and random forest. You’ll discover how to tune algorithms to provide the most accurate predictions on new and unseen data. As you progress, you’ll gain insights into the working and output of these algorithms, building your understanding of both the predictive capabilities of the models and why they make these predictions.By then end of this book, you will have the necessary skills to confidently use machine learning algorithms to perform detailed data analysis and extract meaningful insights from unstructured data.

Microsoft Dynamics AX 2009 Administration. A practical and efficient approach to planning, installing and configuring your Dynamics AX 2009 environment

Marco Carvalho

Microsoft Dynamics AX 2009 is an advanced Enterprise Resource Planning system, essentially a comprehensive business management solution, designed for midsize and large organizations. Dynamics AX provides a centralized source for business data and enables you to consolidate and standardize your business processes, helping to improve productivity and provide visibility across your organization, for a variety of business needs.This book will enable you to successfully set up and configure Dynamics AX 2009 in your business with clear, practical, step-by-step demonstrations. You will learn how to plan and implement Dynamics AX 2009 efficiently, how to manage the Enterprise Portal, Role Centers, Kerberos Authentication, Workflow, Application Integration Framework (AIF), and much more!Each chapter of the book explores the different aspects of administring and configuring Dynamics AX 2009 to fit any company's needs.The book begins by introducing you to the important process of planning and implementing Dynamics AX 2009, providing the basic components to get you started with your Dynamics AX environment. It then dives deep into the installation of the multi component server of Dynamics AX and how to get it up and running efficiently, specifically the Base Server Components, Enterprise Portal, Role Centers, Kerberos Authentication, Workflow, and the Application Integration Framework (AIF).Other content includes the process of importing data into your Dynamics AX 2009 instance, common user administration functions, and Alerts and Notifications.Finally, the book considers how to enhance your Dynamics AX environment after it has been installed and it is being utilized, from tuning your system to work more efficiently to backing up and maintaining Dynamics AX to make sure you are prepared for worst-case scenarios, enabling you to keep Dynamics AX 2009 functioning at its best.By following the clear and practical steps found in the book, you will successfully master how to administer and configure Dynamics AX 2009 into your company.

Using Yocto Project with BeagleBone Black. Unleash the power of the BeagleBone Black embedded platform with Yocto Project

Hafiz Muhammad I Sadiq, Irfan Sadiq

Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale

Jayanth Kumar M J

Feature store is one of the storage layers in machine learning (ML) operations, where data scientists and ML engineers can store transformed and curated features for ML models. This makes them available for model training, inference (batch and online), and reuse in other ML pipelines. Knowing how to utilize feature stores to their fullest potential can save you a lot of time and effort, and this book will teach you everything you need to know to get started.Feature Store for Machine Learning is for data scientists who want to learn how to use feature stores to share and reuse each other's work and expertise. You’ll be able to implement practices that help in eliminating reprocessing of data, providing model-reproducible capabilities, and reducing duplication of work, thus improving the time to production of the ML model. While this ML book offers some theoretical groundwork for developers who are just getting to grips with feature stores, there's plenty of practical know-how for those ready to put their knowledge to work. With a hands-on approach to implementation and associated methodologies, you'll get up and running in no time.By the end of this book, you’ll have understood why feature stores are essential and how to use them in your ML projects, both on your local system and on the cloud.

NumPy Beginner's Guide. An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library. - Second Edition

Ivan Idris

NumPy is an extension to, and the fundamental package for scientific computing with Python. In today's world of science and technology, it is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list.NumPy Beginner's Guide will teach you about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, is free and open source.Write readable, efficient, and fast code, which is as close to the language of mathematics as is currently possible with the cutting edge open source NumPy software library. Learn all the ins and outs of NumPy that requires you to know basic Python only. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.You will learn about installing and using NumPy and related concepts. At the end of the book we will explore some related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. Through examples, you will also learn about plotting with Matplotlib and the related SciPy project. NumPy Beginner's Guide will help you be productive with NumPy and have you writing clean and fast code in no time at all.

Developing Web Applications with Oracle ADF Essentials. Quickly build attractive, user-friendly web applications using Oracle's free ADF Essentials toolkit

Sten E Vesterli

With ADF, Oracle gives you the chance to use the powerful tool used by Oracle's own developers. Modern enterprise applications must be user-friendly, visually attractive, and fast performing. Oracle Fusion Applications are just that; but to get the desired output you need proven methods to use this powerful and flexible tool to achieve success in developing your enterprise applications.Developing Web Applications with Oracle ADF Essentials explains all you need to know in order to build good-looking, user-friendly applications on a completely free technology stack. It explains the highly productive, declarative development approach that will literally have your application running within a few hours, as well as how to use Java to add business logic.Developing Web Applications with Oracle ADF Essentials tells you how to develop and deploy web application applications based on the highly productive and free Oracle ADF Essentials framework. You will first learn how to build business services on top of database tables, and then how to easily build a web application using these services. You will see how to visually design the flow through your application with ADF task flows, and how to use Java programming to implement business logic. Using this book, you can start building and deploying advanced web applications on a robust, free platform quickly.Towards the end, you will be ready to build real-world ADF Essentials applications and will be able to consider yourself an ADF Essentials journeyman.

Security Automation with Python. Practical Python solutions for automating and scaling security operations

Corey Charles Sr., Frank McMahon

Designed to address the most common pain point for security teams—scalability—Security Automation with Python leverages the author’s years of experience in vulnerability management to provide you with actionable guidance on automating security workflows to streamline your operations and improve your organization’s overall security posture.What makes this book stand out is its hands-on approach. You won’t just learn theoretical concepts—you’ll apply Python-based automation techniques directly to real-world scenarios. Whether you're automating vulnerability scans, managing firewall rules, or responding to security incidents, this book provides clear examples and use cases, breaking down complex topics into easily digestible steps. With libraries like Paramiko, Requests, and PyAutoGUI, you’ll automate everything from network scanning and threat intelligence gathering to system patching and alert management. Plus, this book focuses heavily on practical tips for error handling, scaling automation workflows, and integrating Python scripts into larger security infrastructures.By the end of this book, you'll have developed a set of highly valuable skills, from creating custom automation scripts to deploying them in production environments, and completed projects that can be immediately put to use in your organization.

Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions

Henric Cronström, Ferran Garcia Pagans, Neeraj Kharpate, James Richardson, ...

Qlik Sense is powerful and creative visual analytics software that allows users to discover data, explore it, and dig out meaningful insights in order to make a profit and make decisions for your business. This course begins by introducing you to the features and functions of the most modern edition of Qlik Sense so you get to grips with the application. The course will teach you how to administer the data architecture in Qlik Sense, enabling you to customize your own Qlik Sense application for your business intelligence needs. It also contains numerous recipes to help you overcome challenging situations while creating fully featured desktop applications in Qlik Sense. It explains how to combine Rattle and Qlik Sense Desktop to apply predictive analytics to your data to develop real-world interactive data applications. The course includes premium content from three of our most popular books:[*] Learning Qlik Sense: The Official Guide Second Edition[*] Qlik Sense Cookbook[*] Predictive Analytics using Rattle and Qlik SenseOn completion of this course, you will be self-sufficient in improving your data analysis and will know how to apply predictive analytics to your datasets. Through this course, you will be able to create predictive models and data applications, allowing you to explore your data insights much deeper.

Android Programming for Beginners. Learn all the Java and Android skills you need to start making powerful mobile applications

John Horton

Android is the most popular OS in the world. There are millions of devices accessing tens of thousands of applications. It is many people's entry point into the world of technology; it is an operating system for everyone. Despite this, the entry-fee to actually make Android applications is usually a computer science degree, or five years’ worth of Java experience.Android Programming for Beginners will be your companion to create Android applications from scratch—whether you’re looking to start your programming career, make an application for work, be reintroduced to mobile development, or are just looking to program for fun. We will introduce you to all the fundamental concepts of programming in an Android context, from the Java basics to working with the Android API. All examples are created from within Android Studio, the official Android development environment that helps supercharge your application development process.After this crash-course, we’ll dive deeper into Android programming and you’ll learn how to create applications with a professional-standard UI through fragments, make location-aware apps with Google Maps integration, and store your user’s data with SQLite. In addition, you’ll see how to make your apps multilingual, capture images from a device’s camera, and work with graphics, sound, and animations too.By the end of this book, you’ll be ready to start building your own custom applications in Android and Java.

Hands-On Microservices with Django. Build cloud-native and reactive applications with Python using Django 5

Tieme Woldman

This book is for Django developers looking to create optimized and scalable web applications using microservices. With it, you’ll learn the principles of microservices and message/task queues and build your first microservices with Django RESTful APIs (DFR) and RabbitMQ. You’ll also master the fundamentals, dockerize your microservices, and optimize and secure them for production environments. By the end, you'll have the skills to design and develop production-ready Django microservices applications with DFR, Celery/RabbitMQ, Redis, and Django's cache framework.

jQuery UI 1.10: The User Interface Library for jQuery. Need to learn how to use JQuery UI speedily? Our guide will take you through implementing and customizing each library component in clear, concise steps, all supported by practical examples to make learning faster. - Fourth Edition

Alex Libby, Dan Wellman

jQuery UI, the official UI widget library for jQuery, gives you a solid platform on which to build rich and engaging interfaces quickly, with maximum compatibility, stability, and effort. jQuery UI's ready-made widgets help to reduce the amount of code that you need to write to take a project from conception to completion. jQuery UI 1.10: The User Interface Library for jQuery has been specially revised for Version 1.10 of jQuery UI. It is written to maximize your experience with the library by breaking down each component and walking you through examples that progressively build up your knowledge, taking you from beginner to advanced user in a series of easy-to-follow steps. Throughout the book, you'll learn how to create a basic implementation of each component, then customize and configure the components to tailor them to your application.Each chapter will also show you the custom events fired by the components covered and how these events can be intercepted and acted upon to bring out the best of the library.We will then go on to cover the use of visually engaging, highly configurable user interface widgets. At the end of this book, we'll look at the functioning of all of the UI effects available in the jQuery UI library.

Practical Digital Forensics. Get started with the art and science of digital forensics with this practical, hands-on guide!

Richard Boddington

Digital Forensics is a methodology which includes using various tools, techniques, and programming language. This book will get you started with digital forensics and then follow on to preparing investigation plan and preparing toolkit for investigation.In this book you will explore new and promising forensic processes and tools based on ‘disruptive technology’ that offer experienced and budding practitioners the means to regain control of their caseloads. During the course of the book, you will get to know about the technical side of digital forensics and various tools that are needed to perform digital forensics. This book will begin with giving a quick insight into the nature of digital evidence, where it is located and how it can be recovered and forensically examined to assist investigators. This book will take you through a series of chapters that look at the nature and circumstances of digital forensic examinations and explains the processes of evidence recovery and preservation from a range of digital devices, including mobile phones, and other media. This book has a range of case studies and simulations will allow you to apply the knowledge of the theory gained to real-life situations. By the end of this book you will have gained a sound insight into digital forensics and its key components.