Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI

Mary-Jo Diepeveen

The artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data.This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.You’ll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you’ll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you’ll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you’ll work through principles such as privacy, fairness, and transparency to use AI responsibly.By the end of this book, you’ll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.

Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark

Dr. Argenis Leon, Luis Aguirre

Optimus is a Python library that works as a unified API for data cleaning, processing, and merging data. It can be used for handling small and big data on your local laptop or on remote clusters using CPUs or GPUs.The book begins by covering the internals of Optimus and how it works in tandem with the existing technologies to serve your data processing needs. You'll then learn how to use Optimus for loading and saving data from text data formats such as CSV and JSON files, exploring binary files such as Excel, and for columnar data processing with Parquet, Avro, and OCR. Next, you'll get to grips with the profiler and its data types - a unique feature of Optimus Dataframe that assists with data quality. You'll see how to use the plots available in Optimus such as histogram, frequency charts, and scatter and box plots, and understand how Optimus lets you connect to libraries such as Plotly and Altair. You'll also delve into advanced applications such as feature engineering, machine learning, cross-validation, and natural language processing functions and explore the advancements in Optimus. Finally, you'll learn how to create data cleaning and transformation functions and add a hypothetical new data processing engine with Optimus.By the end of this book, you'll be able to improve your data science workflow with Optimus easily.

Instant Handlebars.js. Learn how to create and implement HTML templates into your projects using the Handlebars library

Gabriel Manricks

Handlebars is one of the leading JavaScript templating engines and is quickly gaining widespread adoption by developers, as well as with frameworks like Ember.js and Meteor.Instant Handlebars.js is a complete guide to the Handlebars library filled with internal concepts and practical examples that will help illustrate what's going on and take you from a complete beginner to a Handlebars expert.Instant Handlebars.js begins with the very basics, requiring no previous knowledge about templating engines. Throughout the course of this book, you get a thorough tour of all the features available in Handlebars.js and you will learn how to organize your websites for both development and production.In this book, we will cover how to create templates with both placeholders and helpers. We will then go into organizing your projects for rapid -development using Require.js and how to optimize and compile your projects for production. To finish off, you will learn how to annotate your code and leave debug points so that you can easily maintain and troubleshoot your code in the future.Handlebars is a small library;, it is meant to fill a specific need and it does this well. Instant Handlebars.js takes a very methodical approach to cover every aspect of this amazing library with practical examples provided every step of the way.

DynamoDB Applied Design Patterns. Apply efficient DynamoDB design patterns for high performance of applications

Uchit Hamendra Vyas

Edit without Tears with Final Cut Pro. Elevate your video editing skills with professional workflows and techniques

Bruce G. Macbryde

Edit Without Tears with Final Cut Pro is your essential guide to overcoming challenges in video editing using Final Cut Pro, simplifying complex procedures and workflows and providing a structured approach for efficient and impressive video editing. This book will change how you approach editing, guiding you to create professional-grade videos with ease and confidence.Throughout the book, you'll enhance your efficiency and speed, while also learning unique workflows for common tasks. The comprehensive coverage spans planning video narratives, crafting preliminary edits and refining them, improving audio quality, setting up and editing multicam sequences, leveraging the inspector's controls, and working with both built-in and third-party plugins. You’ll then advance to animating objects using keyframes, utilizing color scopes for advanced color correction, and troubleshooting common issues confidently.By the end of this Final Cut Pro book, you’ll have developed an efficient editing style, unlocking the full power of this video editing software for your creative endeavors.

Microservices with Go. Building scalable and reliable microservices with Go

Alexander Shuiskov

This book covers the key benefits and common issues of microservices, helping you understand the problems microservice architecture helps to solve, the issues it usually introduces, and the ways to tackle them.You’ll start by learning about the importance of using the right principles and standards in order to achieve the key benefits of microservice architecture. The following chapters will explain why the Go programming language is one of the most popular languages for microservice development and lay down the foundations for the next chapters of the book. You’ll explore the foundational aspects of Go microservice development including service scaffolding, service discovery, data serialization, synchronous and asynchronous communication, deployment, and testing. After covering the development aspects, you’ll progress to maintenance and reliability topics. The last part focuses on more advanced topics of Go microservice development including system reliability, observability, maintainability, and scalability. In this part, you’ll dive into the best practices and examples which illustrate how to apply the key ideas to existing applications, using the services scaffolded in the previous part as examples.By the end of this book, you’ll have gained hands-on experience with everything you need to develop scalable, reliable and performant microservices using Go.

Mastering Python for Finance. Implement advanced state-of-the-art financial statistical applications using Python - Second Edition

James Ma Weiming

The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples.You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance.By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.

Creating Mobile Apps with Appcelerator Titanium. There's no better way to learn Titanium than by using the platform to create apps for iPhone, iPad, and Android, and this tutorial lets you do exactly that. It's a truly hands-on approach that covers all the essential bases

Christian Brousseau

Smartphones and tablets have really changed the technological landscape over the last 3-4 years. Much like the web did in the last decade, these powerful tools have changed the way people communicate and access information. Such a wide market creates opportunities for developers who have the skills to develop mobile applications.Creating Mobile Apps with Appcelerator Titanium is a practical, step-by-step guide to building iPhone, iPad, and Android applications using JavaScript. This book will give you a solid grounding of the dos and don'ts of mobile development and also covers a lot of the functionalities offered by the Titanium platform.This book begins with a look at what the Titanium platform has to offer. By taking you through clear tutorials on developing each application step-by-step, it helps you to apply your newly acquired knowledge afterwards. The difficulty level gradually increases along the course of the book.Each application from this book covers different aspects of mobile development. Every chapter starts by defining the application's features as well as the user interface structure. Every single code section is then explained and put into context allowing you to gain a clear understanding of their purpose and functionality. The book takes a “small milestone” approach, allowing you to actually run the application and see the progression. Every step is accompanied by many screenshots so you can see the expected result on screen.You will learn everything you need to know to develop your very own mobile applications. The book takes a laid-back approach to Titanium development and provides information in a way designed to never overwhelm the reader with information and also uses clear diagrams, screenshots, and tips throughout.