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Podcasty
As an application’s code base increases, it becomes harder for developers to maintain existing features and introduce new ones. In this clean architecture book, you'll learn to identify when and how this problem emerges and how to structure your code to overcome it.The book starts by explaining clean architecture principles and Android architecture components and then explores the tools, frameworks, and libraries involved. You’ll learn how to structure your application in the data and domain layers, the technologies that go in each layer, and the role that each layer plays in keeping your application clean. You’ll understand how to arrange the code into these two layers and the components involved in assembling them. Finally, you'll cover the presentation layer and the patterns that can be applied to have a decoupled and testable code base.By the end of this architecture book, you'll be able to build an application following clean architecture principles and have the knowledge you need to maintain and test the application easily.
Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali
Unleash the power of data to reach your marketing goals with this practical guide to data science for business.This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects.You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions.As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior.By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making.
With Unreal Engine 4 being made free to use, for any keen game developer it is quickly becoming the most popular game engine in today’s development industry. The engine offers a rich feature set that can be customized and built upon through the use of C++. This book will cover how to work with Unreal Engine’s tool set all the way from the basics of the editor and the visual scripting system blueprint to the in-depth low-level creation of content using C++.This book will provide you with the skills you need to create feature-rich, captivating, and refined game titles with Unreal Engine 4. This book will take you through the creation of four unique game projects, designed so that you will be ready to apply the engine’s rich development capabilities. You will learn not only to take advantage of the visual tools of the engine, but also the vast and powerful programming feature set of Unreal Engine 4.
Scala Functional Programming Patterns. Grok and perform effective functional programming in Scala
Scala is used to construct elegant class hierarchies for maximum code reuse and extensibility and to implement their behavior using higher-order functions. Its functional programming (FP) features are a boon to help you design “easy to reason about” systems to control the growing software complexities. Knowing how and where to apply the many Scala techniques is challenging. Looking at Scala best practices in the context of what you already know helps you grasp these concepts quickly, and helps you see where and why to use them. This book begins with the rationale behind patterns to help you understand where and why each pattern is applied. You will discover what tail recursion brings to your table and will get an understanding of how to create solutions without mutations. We then explain the concept of memorization and infinite sequences for on-demand computation. Further, the book takes you through Scala’s stackable traits and dependency injection, a popular technique to produce loosely-coupled software systems.You will also explore how to currying favors to your code and how to simplify it by de-construction via pattern matching. We also show you how to do pipeline transformations using higher order functions such as the pipes and filters pattern. Then we guide you through the increasing importance of concurrent programming and the pitfalls of traditional code concurrency. Lastly, the book takes a paradigm shift to show you the different techniques that functional programming brings to your plate.This book is an invaluable source to help you understand and perform functional programming and solve common programming problems using Scala’s programming patterns.
Electron Projects. Build over 9 cross-platform desktop applications from scratch
The Electron framework allows you to use modern web technologies to build applications that share the same code across all operating systems and platforms. This also helps designers to easily transition from the web to the desktop. Electron Projects guides you through building cross-platform Electron apps with modern web technologies and JavaScript frameworks such as Angular, React.js, and Vue.js.You’ll explore the process of configuring modern JavaScript frameworks and UI libraries, real-time analytics and automatic updates, and interactions with the operating system. You’ll get hands-on with building a basic Electron app, before moving on to implement a Markdown Editor. In addition to this, you’ll be able to experiment with major JavaScript frameworks such as Angular and Vue.js, discovering ways to integrate them with Electron apps for building cross-platform desktop apps. Later, you’ll learn to build a screenshot snipping tool, a mini-game, and a music player, while also gaining insights into analytics, bug tracking, and licensing. You’ll then get to grips with building a chat app, an eBook generator and finally a simple digital wallet app.By the end of this book, you’ll have experience in building a variety of projects and project templates that will help you to apply your knowledge when creating your own cross-platform applications.
Learn Microsoft Office 2019 provides a comprehensive introduction to the latest versions of Microsoft Word, Excel, PowerPoint, Access, and Outlook. With the help of illustrated explanations, this Microsoft Office book will take you through the updated Office 2019 applications and guide you through implementing them using practical examples.You'll start by exploring the Word 2019 interface and creating professional Word documents using elements such as citations and cover pages, tracking changes, and performing mail merge. You'll then learn how to create impressive PowerPoint presentations and advance to performing calculations and setting up workbooks in Excel 2019, along with discovering its data analysis features. Later chapters will focus on Access 2019, assisting you in everything from organizing a database to constructing advanced queries. You'll then get up to speed with Outlook, covering how to create and manage tasks, as well as how to handle your mail and contacts effortlessly. Finally, you'll find solutions to commonly encountered issues and best practices for streamlining various workplace tasks.By the end of this book, you'll have learned the essentials of Office business apps and be ready to work with them to boost your productivity.
Colleen M. Farrelly, Franck Kalala Mutombo, Michael Giske
We are living in the age of big data, and scalable solutions are a necessity. Network science leverages the power of graph theory and flexible data structures to analyze big data at scale.This book guides you through the basics of network science, showing you how to wrangle different types of data (such as spatial and time series data) into network structures. You’ll be introduced to core tools from network science to analyze real-world case studies in Python. As you progress, you’ll find out how to predict fake news spread, track pricing patterns in local markets, forecast stock market crashes, and stop an epidemic spread. Later, you’ll learn about advanced techniques in network science, such as creating and querying graph databases, classifying datasets with graph neural networks (GNNs), and mining educational pathways for insights into student success. Case studies in the book will provide you with end-to-end examples of implementing what you learn in each chapter.By the end of this book, you’ll be well-equipped to wrangle your own datasets into network science problems and scale solutions with Python.
Manisha Agrawal, Karun Krishnannair
Observability can be implemented in multiple ways within an organization based on the organization’s needs. So, it’s crucial for organizations to decide whether they need observability and to what extent, what skills and tools will suit them, and how long will it take to implement it. Implementing Enterprise Observability for Success provides a step-by-step approach to help you create an observability strategy, understand the principles behind the creation of the strategy, and logical steps to plan and execute the implementation.You’ll learn about observability fundamentals and challenges, the importance of data and analytics along with different tools. Further, you’ll discover the various layers from which data should be collected for setting up observability.Through real- life examples distilled from the author's experience in implementing observability at an enterprise level, you’ll uncover some of the non-technical & technical drivers of observability like the culture of the organization, the hierarchy of stakeholders, tools at disposal and the willingness to invest.By the end of this book, you’ll be well-equipped to plan the observability journey, identify different stakeholders, spot the technology stack required, and lay out an effective plan for organization-wide adoption.
Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain.The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python’s scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code.By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science.
Through this hands-on Snowflake certification book with real-world examples, you’ll quickly learn fundamental concepts and perform required labs to develop an understanding of Snowflake architecture and data security. As you progress, you will dive into critical domains of the exam, including SQL for Snowflake certification, data governance, access control, and transformations.Alongside top resources for SnowPro Core exam preparation, you will progress from the basics of the Snowflake data pipeline and ETL processes through best practices for Snowflake query optimization to onboarding users with the right access controls to ensure your data stays safe and secure. You’ll also learn how to share data outside of Snowflake.Combined with the Snowflake hands-on projects and lab exercises, you’ll be ready to take the SnowPro Core exam and pass it the first time. You’ll gain all the skills to use Snowflake to fulfill your organization’s data needs.The book is written by Jatin Verma, a certified SnowPro Core expert, and includes practical exam strategies, practice tests, and flashcards to enhance your preparation. Whether you're a data engineer, architect, analyst, or cloud professional, this guide will ensure you're fully prepared for Snowflake certification success.
Clojure Polymorphism. Leverage Clojure's polymorphic tools to develop your applications
Clojure is a modern, dynamic language that you can use to develop robust, multithreaded programs. Clojure Polymorphism is a comprehensive guide that shows you how to use Clojure’s features to your advantage.The book begins by describing examples that show how to define and implement abstractions with plain functions and multimethods. Then you'll analyze these examples and separate the good and bad aspects of their design principles. You'll also learn how to perform data transformation abstraction with a plain function and discover how to write new cross-platform predicates while keeping the core of your abstraction free from reader conditionals. The later chapters explain the considerations to keep in mind when implementing Clojure protocols on the Java Virtual Machine (JVM).By the end of this book, you’ll know how to use the various polymorphic tools of Clojure to your advantage while designing your applications.
MDX is the BI industry standard for multidimensional calculations and queries. Proficiency with this language is essential for the realization of your Analysis Services' full potential. MDX is an elegant and powerful language, and also has a steep learning curve.SQL Server 2012 Analysis Services has introduced a new BISM tabular model and a new formula language, Data Analysis Expressions (DAX). However, for the multi-dimensional model, MDX is still the only query and expression language. For many product developers and report developers, MDX is the preferred language for both the tabular model and multi-dimensional model.MDX with SSAS 2012 Cookbook is a must-have book for anyone who wants to be proficient in the MDX language and to enhance their business intelligence solutions.MDX with SSAS 2012 Cookbook is packed with immediately usable, practical solutions. It starts with elementary techniques that lay the foundation for designing advanced MDX calculations and queries. The discussions after each solution will provide you with a solid foundation and best practices. It covers a broad range of real-world topics and solutions and provides you with learning materials to become proficient in the language.This book will guide you through the hands-on and practical MDX solutions, best practices, and many intricacies that hide within the MDX calculations and queries.We will start by working with sets, creating time-aware, context-aware calculations, and business analytics solutions, through to the techniques of enhancing the cube design when MDX is not enough. We will then move on to capturing MDX generated by SSAS front-ends and using SSAS stored procedures, and we will explore the whole range of MDX solutions for real-world BI projects.
Machine learning algorithms are an integral part of almost all modern applications. To make the learning process faster and more accurate, you need a tool flexible and powerful enough to help you build machine learning algorithms quickly and easily. With The Machine Learning Workshop, you'll master the scikit-learn library and become proficient in developing clever machine learning algorithms.The Machine Learning Workshop begins by demonstrating how unsupervised and supervised learning algorithms work by analyzing a real-world dataset of wholesale customers. Once you've got to grips with the basics, you'll develop an artificial neural network using scikit-learn and then improve its performance by fine-tuning hyperparameters. Towards the end of the workshop, you'll study the dataset of a bank's marketing activities and build machine learning models that can list clients who are likely to subscribe to a term deposit. You'll also learn how to compare these models and select the optimal one.By the end of The Machine Learning Workshop, you'll not only have learned the difference between supervised and unsupervised models and their applications in the real world, but you'll also have developed the skills required to get started with programming your very own machine learning algorithms.
Matjaz B. Juric, Marcel Krizevnik, Matjaz B Juric
Business Process Execution Language (BPEL, aka WS-BPEL) has become the de-facto standard for orchestrating services in SOA composite applications. BPEL reduces the gap between business requirements and applications and allows for better alignment between business processes and underlying IT architecture. BPEL is for SOA what SQL is for databases. Therefore learning BPEL is essential for the successful adoption of SOA or the development of composite applications. Although BPEL looks simple at first sight, it hides its large potential and has many interesting and advanced features. If you can get familiar with these features - you can maximize the value of SOA.This book provides a comprehensive and detailed coverage of BPEL, one of the centerpieces of SOA. It covers basic and advanced features of BPEL 2.0 and provides several real-world examples. In addition to BPEL specification the book provides comprehensive coverage of BPEL support in Oracle SOA Suite 11g, including security, transactions, human workflow, process monitoring, automatic generation of BPEL from process models, dynamic processes, and more.This book starts with an introduction to BPEL, its role with regard to SOA and the process-oriented approach to SOA. The authors give short descriptions of the most important SOA platforms and BPEL servers—the run time environments for the execution of business processes specified in BPEL—and compare BPEL to other business process languages. The book will then move on to explain core concepts such as invoking services, synchronous and asynchronous processes, partner links, role of WSDL, variables, flows, and more.Moving ahead you will become familiar with fault handling, transaction management and compensation handling, scopes, events and event handlers, concurrent activities and links. The authors also discuss the business process lifecycle, correlation of messages, dynamic partner links, abstract business processes and mapping from BPMN to BPEL.The book presents in detail, how to use BPEL with Oracle SOA Suite 11g PS2. It explains the development of BPEL and SCA assemblies, and demonstrates different approaches with some practical examples. It addresses security, transaction handling, and human workflow. Then, the book addresses entity variables, notification services, fault management framework, and business events in BPEL. It provides exhaustive coverage of monitoring BPEL processes and developing dashboards with Oracle BAM. It explains how to use BPEL processes with Oracle Service Bus and Oracle Service Registry. Using examples, the book also demonstrates how to transform business process models in BPMN (using Business Modeler) to BPEL, how to achieve round-tripping using BPA Suite and BPM Suite, and how to use Oracle Enterprise Repository to govern BPEL processes. The book also covers the complete BPM lifecycle from modeling through implementation, execution, monitoring, and optimization and presents advanced, real-world examples.