Liferay Portal 6.2 Enterprise Intranets. A practical guide to adopting portal development best practices in an Enterprise world

UiPath Associate Certification Guide. The go-to guide to passing the Associate certification exam with the help of mock tests and quizzes

Niyaz Ahmed, Lahiru Fernando, Rajaneesh Balakrishnan

UiPath is the most popular vendor in the Robotic Process Automation (RPA) industry. If you're an RPA enthusiast or citizen developer who wants to succeed in the industry, achieving this certification can help you get accredited and ready for real-world challenges using UiPath.UiPath Associate Certification Guide offers complete, up-to-date coverage of the UiPath RPA Associate certification exam to help you pass on the first attempt and get certified. The book is written in a clear, succinct way with self-assessment questions, quizzes with answers at the end of each chapter, exam tips, and mock exams with detailed answers and explanations. You'll start by getting to grips with the basic concepts of UiPath RPA, and then progress to an in-depth discussion of all the concepts required for Associate certification. Finally, you'll develop UiPath skills by gaining the required knowledge and implement these skills using sample business cases.By the end of this UiPath book, you'll have covered everything you need to pass the exam, gained the knowledge you need to work on real-world case studies, and learned how to apply the various concepts to build enterprise-level use cases.

Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python

François Voron

FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. With this book, you’ll be able to create fast and reliable data science API backends using practical examples.This book starts with the basics of the FastAPI framework and associated modern Python programming language concepts. You'll be taken through all the aspects of the framework, including its powerful dependency injection system and how you can use it to communicate with databases, implement authentication and integrate machine learning models. Later, you’ll cover best practices relating to testing and deployment to run a high-quality and robust application. You’ll also be introduced to the extensive ecosystem of Python data science packages. As you progress, you’ll learn how to build data science applications in Python using FastAPI. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance. Finally, you’ll see how to implement a real-time face detection system using WebSockets and a web browser as a client.By the end of this FastAPI book, you’ll have not only learned how to implement Python in data science projects but also how to maintain and design them to meet high programming standards with the help of FastAPI.

BMC Control-M 7: A Journey from Traditional Batch Scheduling to Workload Automation

Control-M is one of the most widely used enterprise class batch workload automation platform. With a strong knowledge of Control-M, you will be able to use the tool to meet ever growing batch needs. There has been no book that can guide you to implement and manage this powerful tool successfully... until now. With this book you will quickly master Control-M and be able to call yourself a Control-M specialist!BMC Control-M 7: A Journey from Traditional Batch Scheduling to Workload Automation will lead you into the world of Control-M and guide you to implement and maintain a Control-M environment successfully. By mastering this workload automation tool, you will see new opportunities opening up before you.With this book you will be able to take away and put into practice knowledge from every aspect of Control-M ñ implementation, administration, design and management of Control-M job flows, and more importantly how to move into workload automation and let batch processing utilize the cloud.You will start off with batch processing and workload automation, and then get an understanding of how Control-M meets these needs. Then we will look more in depth at the technical details of Control-M, and finally look at how to work with it to meet critical business needs. Throughout the book, you will learn important concepts and features, as well as learn from the Author's experience, accumulated over many years. By the end of the book you will be set up to work efficiently with this tool and also understand how to utilize the latest features of Control-M.

Getting Started with OpenCart Module Development. Master your OpenCart modules and code!

Rupak Nepali

OpenCart is an online shopping tool which is free to use. It has become widely popular because of its support for custom extensions and module development. This book helps you understand how to use the features available in OpenCart using step-by-step instructions.Getting Started with OpenCart Module Development gives you step-by-step explanations and illustrations on how to clone, customize, and develop modules and pages with OpenCart.This book shows you how to create custom OpenCart modules and pages which are needed as per the requirements of the clients to manage custom data. It describes each and every code used to make a Hello World module, a feedback module, a tips module, an order total module, and a shipping and payment module.The book covers installing, configuring, and uninstalling modules as well as how to clone them. It also discusses all the available Global Library methods of OpenCart as well as ways to handle the files and folders of a shipping and payment module. At the end of the book, you will learn how to make custom pages to manage data by creating a feedback module and how to create the order total using a tips module.In Getting Started with OpenCart Module Development, you will learn everything you need to know to create custom OpenCart modules.

Teaching with iPad How-To. Use your iPad creatively for everyday teaching tasks in schools and universities with this book and

The iPad is a great teaching tool. It is an amazing eReader for accessing textbooks and journals. It is also great for multimedia content like videos, audio, presentations, and 3D animations. Most importantly Apple's app ecosystem makes it very powerful. You can find apps for almost any teaching task in app store and use them instantly.You will start with simple tasks like creating presentations and visualizations. Soon you will be making interactive books and resources as well as teaching practical lessons such as music and art! Teaching with iPad How-to starts with the most basic task of planning your lessons. As you go through the book you will learn how to 'carry' your textbooks on Little Books, create your own resources and finally publish your courseware.Be it organizing your notes, creating charts and presentations, or just recording attendance, this book will help you do all these tasks very efficiently on your iPad. In this book, you will also learn to create and distribute timetables, create your own textbooks and make your classes interesting and full of information by using the iPad's 3D and subject-specific resources.You will learn to make your teaching job interesting and engaging for your students by using iPad as your teaching and organizing tool.

Learning RHEL Networking. Gain Linux administration skills by learning new networking concepts in Red Hat Enterprise Linux 7

Practical Machine Learning. Learn how to build Machine Learning applications to solve real-world data analysis challenges with this Machine Learning book – packed with practical tutorials

Sunila Gollapudi

This book explores an extensive range of machine learning techniques uncovering hidden tricks and tips for several types of data using practical and real-world examples. While machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles. Inside, a full exploration of the various algorithms gives you high-quality guidance so you can begin to see just how effective machine learning is at tackling contemporary challenges of big dataThis is the only book you need to implement a whole suite of open source tools, frameworks, and languages in machine learning. We will cover the leading data science languages, Python and R, and the underrated but powerful Julia, as well as a range of other big data platforms including Spark, Hadoop, and Mahout. Practical Machine Learning is an essential resource for the modern data scientists who want to get to grips with its real-world application.With this book, you will not only learn the fundamentals of machine learning but dive deep into the complexities of real world data before moving on to using Hadoop and its wider ecosystem of tools to process and manage your structured and unstructured data. You will explore different machine learning techniques for both supervised and unsupervised learning; from decision trees to Naïve Bayes classifiers and linear and clustering methods, you will learn strategies for a truly advanced approach to the statistical analysis of data. The book also explores the cutting-edge advancements in machine learning, with worked examples and guidance on deep learning and reinforcement learning, providing you with practical demonstrations and samples that help take the theory–and mystery–out of even the most advanced machine learning methodologies.