Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data

Suresh Kumar Mukhiya, Usman Ahmed

Exploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset. This book will help you gain practical knowledge of the main pillars of EDA - data cleaning, data preparation, data exploration, and data visualization.You’ll start by performing EDA using open source datasets and perform simple to advanced analyses to turn data into meaningful insights. You’ll then learn various descriptive statistical techniques to describe the basic characteristics of data and progress to performing EDA on time-series data. As you advance, you’ll learn how to implement EDA techniques for model development and evaluation and build predictive models to visualize results. Using Python for data analysis, you’ll work with real-world datasets, understand data, summarize its characteristics, and visualize it for business intelligence.By the end of this EDA book, you’ll have developed the skills required to carry out a preliminary investigation on any dataset, yield insights into data, present your results with visual aids, and build a model that correctly predicts future outcomes.

The Professional Scrum Master Guide. The unofficial guide to Scrum with real-world projects

Fred Heath

This book demonstrates the real-world applications of Scrum in a variety of scenarios, all with practical examples. You’ll understand why the structure of your Scrum team matters, and how to create and manage sprint and product backlogs. Each chapter concludes with relevance to the exam, reinforcing what you’ve learned as you work through the book and making sure you have an edge when it comes to earning your certificate.The statements made and opinions expressed herein belong exclusively to Packt Publishing Ltd and are not shared by or represent the viewpoint of Scrum.org. This training does not constitute an endorsement of any product, service or point of view. Scrum.org makes no representations, warranties or assurances of any kind, express or implied, as to the completeness, accuracy, reliability, suitability, availability or currency of the content contained in this presentation or any material related to this presentation. In no event shall Scrum.org, its agents, officers, employees, licensees or affiliates be liable for any damages whatsoever (including, without limitation, damages for loss of profits, business information, or loss of information) arising out of the information or statements contained in the training. Any reliance you place on such content is strictly at your own risk.

Salesforce Data Architect Certification Guide. Comprehensive coverage of the Salesforce Data Architect exam content to help you pass on the first attempt

Aaron Allport

The Salesforce Data Architect is a prerequisite exam for the Application Architect half of the Salesforce Certified Technical Architect credential. This book offers complete, up-to-date coverage of the Salesforce Data Architect exam so you can take it with confidence.The book is written in a clear, succinct way with self-assessment and practice exam questions, covering all the topics necessary to help you pass the exam with ease. You’ll understand the theory around Salesforce data modeling, database design, master data management (MDM), Salesforce data management (SDM), and data governance. Additionally, performance considerations associated with large data volumes will be covered. You’ll also get to grips with data migration and understand the supporting theory needed to achieve Salesforce Data Architect certification.By the end of this Salesforce book, you'll have covered everything you need to know to pass the Salesforce Data Architect certification exam and have a handy, on-the-job desktop reference guide to re-visit the concepts.

Enterprise Architecture with .NET. Expert-backed advice for information system design, down to .NET and C# implementation

Jean-Philippe Gouigoux, Dalila Tamzalit

The software development domain continues to grow exponentially, and information systems have become the backbone of most industries, including non-digital-native ones. However, technical debt, coupling, and a high level of maintenance - sometimes bringing IT systems to a complete halt – continue to present a problem. The software industry has to still apply standards-based, modular, and repeatable approaches that exist in other industries.This book demonstrates such methods in action, particularly business/IT alignment principles. As you progress, you’ll cover advanced concepts and theories currently researched in academia. Then, you’ll be guided toward a practical framework to transfer these approaches to actual software architecture. Finally, a dedicated section will help you apply the knowledge you gain to a sample application in .NET where API design, dependency management, and code writing will be explained in detail to relate to the business-alignment principles explained at the beginning. Throughout the book, you’ll get equipped with the skills to create modular, long-living applications that serve your users better.By the end of this .NET book, you’ll not only have learned new concepts but also gained the ability to apply them immediately to your upcoming software endeavors.

Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure

Olivier Mertens, Breght Van Baelen

With data’s growing importance in businesses, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook is designed to assist any data professional or academic looking to advance their cloud data platform designing skills. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution.You’ll begin by getting to grips with core data architecture design concepts and Azure Data & AI services, before exploring cloud landing zones and best practices for building up an enterprise-scale data platform from scratch. Next, you’ll take a deep dive into various data domains such as data engineering, business intelligence, data science, and data governance. As you advance, you’ll cover topics ranging from learning different methods of ingesting data into the cloud to designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and learning how to leverage cloud computing to drive advanced analytical workloads. Finally, you’ll discover how to add data governance, compliance, and security to solutions.By the end of this book, you’ll have gained the expertise needed to become a well-rounded Azure Data & AI architect.

Technical Program Manager's Handbook. Empowering managers to efficiently manage technical projects and build a successful career path

Joshua Alan Teter, Ben Tobin

The technical program manager (TPM) is a relatively new role born out of the need of the tech industry to have a specialized practitioner who speaks both tech and business and leverages this bilingual talent to get results that no one else can.This book dives into what makes a TPM tick. You’ll find out which project and program management skills will help you shine and how you can apply your technical skills for effective results. This book looks at the TPM role across the Big Five tech companies (Amazon, Google, Microsoft, Apple, and Meta) to help you discern the most effective skills to be successful no matter which company you work for.Are you already a well-performing TPM looking to see what’s next? This book identifies the career paths for a TPM at the Big Five to help you decide the next step for you.By the end of this book, you’ll have a clear understanding of how to be a TPM, along with a breakdown of the necessary technical and program management skills to develop a clear roadmap for your career.

Shopify Theme Customization with Liquid. Design state-of-the-art, dynamic Shopify eCommerce websites using Liquid's powerful features

Ivan Djordjevic

Shopify is one of the fastest-growing eCommerce platforms, which means developers familiar with the Liquid concept are needed now more than ever. This book will help you to build a solid foundation by enabling you to develop your skills from the ground up by gaining essential theoretical knowledge of Liquid and putting that knowledge to use through hands-on projects.Shopify Theme Customization with Liquid begins by helping you get to grips with basic Shopify information, its interface and theme structure, setting up your Partner account, and creating a child theme, which is essential when preparing for any future work on Shopify. You'll then explore Liquid core features that will provide you with a basic understanding of the Liquid programming logic needed to develop any feature. As you advance to the latest and advanced features, you'll learn about JSON settings, allowing you to create any type of static or dynamic section - a must-have for becoming a competent Shopify developer. Finally, the book takes you through the Shopify Ajax API to gain the necessary skills needed to create a variety of dynamic features and content.By the end of this Shopify book, you'll be able to take on challenging projects to showcase your theme customization expertise to your future employer.

jBPM6 Developer Guide. Learn about the components, tooling, and integration points that are part of the JBoss Business Process Management (BPM) framework

Mariano De Maio, Esteban Aliverti, Mauricio Salatino

The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems

Alessandro Palmas, Emanuele Ghelfi, Dr. Alexandra Galina Petre, Mayur Kulkarni, ...

Various intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models.Starting with an introduction to RL, youÔÇÖll be guided through different RL environments and frameworks. YouÔÇÖll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once youÔÇÖve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, youÔÇÖll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, youÔÇÖll find out when to use a policy-based method to tackle an RL problem.By the end of The Reinforcement Learning Workshop, youÔÇÖll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning.

Learning OpenCV 3 Application Development

Samyak Datta

Computer vision and machine learning concepts are frequently used in practical computer vision based projects. If you’re a novice, this book provides the steps to build and deploy an end-to-end application in the domain of computer vision using OpenCV/C++. At the outset, we explain how to install OpenCV and demonstrate how to run some simple programs. You will start with images (the building blocks of image processing applications), and see how they are stored and processed by OpenCV. You’ll get comfortable with OpenCV-specific jargon (Mat Point, Scalar, and more), and get to know how to traverse images and perform basic pixel-wise operations. Building upon this, we introduce slightly more advanced image processing concepts such as filtering, thresholding, and edge detection. In the latter parts, the book touches upon more complex and ubiquitous concepts such as face detection (using Haar cascade classifiers), interest point detection algorithms, and feature descriptors. You will now begin to appreciate the true power of the library in how it reduces mathematically non-trivial algorithms to a single line of code!The concluding sections touch upon OpenCV’s Machine Learning module. You will witness not only how OpenCV helps you pre-process and extract features from images that are relevant to the problems you are trying to solve, but also how to use Machine Learning algorithms that work on these features to make intelligent predictions from visual data!

Oracle Coherence 3.5. Create Internet-scale applications using Oracle’s high-performance data grid

Patrick Peralta, Mark Falco, Aleksandar Seovic

Scalability, performance, and reliability have to be designed into an application from the very beginning, as there may be substantial cost or implementation consequences if they need to be added down the line. This indispensible book will teach you how to achieve these things using Oracle Coherence, a leading data grid product on the market.Authored by leading Oracle Coherence authorities, this essential book will teach you how to use Oracle Coherence to build high-performance applications that scale to hundreds of machines and have no single points of failure. You will learn when and how to use Coherence features such as distributed caching, parallel processing, and real-time events within your application, and understand how Coherence fits into the overall application architecture. Oracle Coherence provides a solid architectural foundation for scalable, high-performance and highly available enterprise applications, through features such as distributed caching, parallel processing, distributed queries and aggregations, real-time events, and the elimination of single points of failure.However, in order to take full advantage of these features, you need to design your application for Coherence from the beginning. Based on the authors' extensive knowledge of Oracle Coherence, and how to use it in the real world, this book will provide you with all the information you need in order to leverage various Coherence features properly. It contains a collection of best practice-based solutions and mini-frameworks that will allow you to be more productive from the very beginning.The early chapters cover basics like installation guidelines and caching topologies, before moving on to the domain model implementation guidelines, distributed queries and aggregations, parallel processing, and real-time events. Towards the end, you learn how to integrate Coherence with different persistence technologies, how to access Coherence from platforms other than Java, and how to test and debug classes and applications that depend on Coherence.

Enterprise Security: A Data-Centric Approach to Securing the Enterprise. A guide to applying data-centric security concepts for securing enterprise data to enable an agile enterprise

Aaron Woody

Enterprise security redefined using a data-centric approach and trust models to transform information security into a business enablement process. It is a unique and forward thinking approach for deciding the best method to secure data in the enterprise, the cloud, and in BYOD environments.Enterprise Security: A Data-Centric Approach to Securing the Enterprise will guide you through redefining your security architecture to be more affective and turn information security into a business enablement process rather than a roadblock. This book will provide you with the areas where security must focus to ensure end-to-end security throughout the enterprise-supporting enterprise initiatives such as cloud and BYOD. Enterprise Security: A Data-Centric Approach to Securing the Enterprise will first introduce the reader to a new security architecture model and then explores the must have security methods and new tools that can used to secure the enterprise.This book will take a data-centric approach to securing the enterprise through the concept of Trust Models and building a layered security implementation focused on data. This is not your traditional security book focused on point solutions and the network aspect of security. This book combines best practice methods with new methods to approach enterprise security and how to remain agile as the enterprise demands more access to data from traditionally untrusted assets, hosted solutions, and third parties. Applied Information Security - A Data-Centric Approach to Securing the Enterprise will provide the reader an easy-to-follow flow from architecture to implementation, diagrams and recommended steps, and resources for further research and solution evaluation.This book is a reference and guide for all levels of enterprise security programs that have realized that non-data centric security is no longer practical and new methods must be used to secure the most critical assets in the enterprise.

Oracle BPM Suite 11g Developer's cookbook. Over 80 advanced recipes to develop rich, interactive business processes using the Oracle Business Process Management Suite with this book and

Vivek Acharya

Oracle Business Process Management Suite is a complete set of tools for creating, executing, and optimizing business processes.Oracle BPM Suite 11g offers the flexibility that business demands, hand-in-hand with the power IT requires. The result is an agile platform that brings together your existing applications, enabling you to react quickly to new business requirements.With this cookbook we will develop rich, interactive business processes using the Oracle Business Process Management suite.With Oracle BPM Suite 11g Developer's Cookbook, a common process model based on BPMN is presented to the specific role assigned to readers in each chapter. Explore Oracle BPM 11g with Modelling, Implementation, Simulation, Deployment, Exception Management, BPM and SOA in Concert, Advanced Rules and Human tasks, End User Interaction and Run-time.Oracle BPM Suite 11g Developer's Cookbook will help readers learn BPM 11g through a Real World Sample Process.This book is divided into four sections: the first section, Modeling, lays the foundation and demonstrates how to implement the Modeling of Business processes for a Use Case of a Fictitious Organization which needs BPM to be implemented at their site (with data objects and information handling). In the second section, Implementation, we learn about Process Implementation, Human Interaction, Business Rules, and much more. In the third section, Measuring, we learn about Post Process Development, Performance Analysis and Simulation Models. In the last section, Deployment, Migration and Run-Time, we learn deployment and migration, and Post Deployment Run-Time.

Instant Spring for Android Starter. Leverage Spring for Android to create RESTful and OAuth Android apps

Anthony Dahanne

The possibility to connect to remote web services is a key feature for most Android apps. REST (Representational State Transfer) is the most popular architecture to provide web services to mobile devices and others. OAuth has recently become the web's favorite way to authenticate and authorize users and apps, thanks to its capability to re-use popular web platforms accounts (Google, Facebook, Twitter). Spring for Android is an extension of the Spring Framework that aims to simplify the development of native Android applications.Instant Spring for Android Starterr is a practical, hands-on guide that provides you with a number of clear step-by-step exercises, which will help you take advantage of the abstractions offered by Spring for Android with regard to REST (RestTemplate) and OAuth (OAuthTemplate). It will also introduce you to the bases of those architectures and the associated tooling.This book gets you started using Spring for Android, first letting you know how to set up your workspace to include those libraries in your projects (with the Eclipse IDE and also with the popular building tool Maven) and then providing some clear and real life examples of RESTful and OAUth backed Android applications.After introducing the technology, we'll discover the different Message Converters provided (to consume JSON, XML, and Atom web services) and the main HTTP verbs to interact with RESTful webservices: GET, POST, DELETE, and UPDATE. We'll also mention how to support HTTP Basic Auth, Gzip compression, and finally put in practice the OAuth workflow with a concrete example relying on the Google OAuth service provider to authenticate and authorize an app and users.You will learn everything you need to consume RESTful web services, authenticate your users, and interact with their social platforms profiles from your Android app.

Game Development with Swift. Embrace the mobile gaming revolution and bring your iPhone game ideas to life with Swift

Stephen Haney

Industrial Cybersecurity. Efficiently monitor the cybersecurity posture of your ICS environment - Second Edition

Pascal Ackerman

With Industrial Control Systems (ICS) expanding into traditional IT space and even into the cloud, the attack surface of ICS environments has increased significantly, making it crucial to recognize your ICS vulnerabilities and implement advanced techniques for monitoring and defending against rapidly evolving cyber threats to critical infrastructure. This second edition covers the updated Industrial Demilitarized Zone (IDMZ) architecture and shows you how to implement, verify, and monitor a holistic security program for your ICS environment.You'll begin by learning how to design security-oriented architecture that allows you to implement the tools, techniques, and activities covered in this book effectively and easily. You'll get to grips with the monitoring, tracking, and trending (visualizing) and procedures of ICS cybersecurity risks as well as understand the overall security program and posture/hygiene of the ICS environment. The book then introduces you to threat hunting principles, tools, and techniques to help you identify malicious activity successfully. Finally, you'll work with incident response and incident recovery tools and techniques in an ICS environment.By the end of this book, you'll have gained a solid understanding of industrial cybersecurity monitoring, assessments, incident response activities, as well as threat hunting.