Mastering Kotlin for Android 14. Build powerful Android apps from scratch using Jetpack libraries and Jetpack Compose

Harun Wangereka

Written with the best practices, this book will help you master Kotlin and use its powerful language features, libraries, tools, and APIs to elevate your Android apps.As you progress, you'll use Jetpack Compose and Material Design 3 to build UIs for your app, explore how to architect and improve your app architecture, and use Jetpack Libraries like Room and DataStore to persist your data locally. Using a step-by-step approach, this book will teach you how to debug issues in your app, detect leaks, inspect network calls fired by your app, and inspect your Room database. You'll also add tests to your apps to detect and address code smells.Toward the end, you’ll learn how to publish apps to the Google Play Store and see how to automate the process of deploying consecutive releases using GitHub actions, as well as learn how to distribute test builds to Firebase App Distribution. Additionally, the book covers tips on how to increase user engagement.By the end of this Kotlin book, you’ll be able to develop market-ready apps, add tests to their codebase, address issues, and get them in front of the right audience.

JIRA 7 Administration Cookbook. Over 80 hands-on recipes to help you efficiently administer, customize, and extend your JIRA 7 implementation - Second Edition

Patrick Li

JIRA 7 Administration Cookbook, Second Edition covers all the new major features that provide better prioritizingcapabilities, enhanced visibility, and the ability to customize JIRA application to meet your needs. We startby upgrading your existing JIRA instance and working through tasks you can perform at the server level to bettermaintain it. We then delve deep into adapting JIRA to your organization's needs, starting with the visual elements of setting up custom forms to capturing important data with custom fields and screens, and moving on to ensuringdata integrity through defining field behaviors. You'll gain insights into JIRA's e-mail capabilities, including managing outgoing e-mail rules and processing incoming e-mails for automated issue creation. The book contains tips and tricks that will make things easier for you as administrators, such as running scripts to automate tasks, getting easy access to logs, and working with tools to troubleshoot problems. The book concludes with a chapter on JIRA Service Desk, which will enable you to set up and customize your own support portal, work with internal teams to solve problems, and achieve optimized services with SLA.

C++ Windows Programming. Click here to enter text

Stefan Björnander

It is critical that modern developers have the right tools to build practical, user-friendly, and efficient applications in order to compete in today’s market. Through hands-on guidance, this book illustrates and demonstrates C++ best practices and the Small Windows object-oriented class library to ease your development of interactive Windows applications. Begin with a focus on high level application development using Small Windows. Learn how to build four real-world applications which focus on the general problems faced when developing graphical applications. Get essential troubleshooting guidance on drawing, spreadsheet, and word processing applications. Finally finish up with a deep dive into the workings of the Small Windows class library, which will give you all the insights you need to build your own object-oriented class library in C++.

Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation

Nikos Tsourakis

With the ever-increasing demand for machine learning and programming professionals, it's prime time to invest in the field. This book will help you in this endeavor, focusing specifically on text data and human language by steering a middle path among the various textbooks that present complicated theoretical concepts or focus disproportionately on Python code.A good metaphor this work builds upon is the relationship between an experienced craftsperson and their trainee. Based on the current problem, the former picks a tool from the toolbox, explains its utility, and puts it into action. This approach will help you to identify at least one practical use for each method or technique presented. The content unfolds in ten chapters, each discussing one specific case study. For this reason, the book is solution-oriented. It's accompanied by Python code in the form of Jupyter notebooks to help you obtain hands-on experience. A recurring pattern in the chapters of this book is helping you get some intuition on the data and then implement and contrast various solutions.By the end of this book, you'll be able to understand and apply various techniques with Python for text preprocessing, text representation, dimensionality reduction, machine learning, language modeling, visualization, and evaluation.

Learning NServiceBus Sagas. Discover how to design, build, and test sagas and messaging with NServiceBus

Richard L Helton

Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples

Serg Masís

Do you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf.We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining.By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning.

Mastering Splunk. Optimize your machine-generated data effectively by developing advanced analytics with Splunk

James D. Miller

Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases in Dynamics NAV and Business Central

Luc van Vugt

Dynamics 365 Business Central is the new cloud-based SaaS ERP proposition from Microsoft. It’s not as simple as it used to be way back when it was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision. Our development practices are becoming more formal, and with this, the call for test automation is pressing on us.This book will teach you to leverage testing tools available with Dynamics 365 Business Central to perform automated testing. We’ll begin with a quick introduction to automated testing, followed by an overview of test automation in Dynamics 365 Business Central. Then you’ll learn to design and build automated tests and we’ll go through some efficient methods to get from requirements to application and testing code. Lastly, you’ll learn to incorporate your own and Microsoft tests into your daily development practice.By the end of the book, you’ll be able to write your own automated tests for Dynamics 365 Business Central.