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.

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.

Introduction to Algorithms. A Comprehensive Guide for Beginners: Unlocking Computational Thinking

Cuantum Technologies LLC

Begin your journey into the fascinating world of algorithms with this comprehensive course. Starting with an introduction to the basics, you will learn about pseudocode and flowcharts, the fundamental tools for representing algorithms. As you progress, you'll delve into the efficiency of algorithms, understanding how to evaluate and optimize them for better performance. The course will also cover various basic algorithm types, providing a solid foundation for further exploration.You will explore specific categories of algorithms, including search and sort algorithms, which are crucial for managing and retrieving data efficiently. You will also learn about graph algorithms, which are essential for solving problems related to networks and relationships. Additionally, the course will introduce you to the data structures commonly used in algorithms.Towards the end, the focus shifts to algorithm design techniques and their real-world applications. You will discover various strategies for creating efficient and effective algorithms and see how these techniques are applied in real-world scenarios. By the end of the course, you will have a thorough understanding of algorithmic principles and be equipped with the skills to apply them in your technical career.

Moodle as a Curriculum and Information Management System. Use Moodle to manage and organize your administrative duties; monitor attendance records, manage student enrolment, record exam results, and much more

Jason Hollowell, Moodle Trust

Moodle is the most widely used Learning Management System in the world. Moodle is primarily used as an online learning course platform and few people know how to use it in any other way. However, Moodle can also be used as a management system. By adapting Moodle to become a curriculum and information management system, you can keep your administrative tasks in the same place as your lesson plans by managing student attendance records, recording grades, sharing reports between departments, and much moreMoodle as a Curriculum and Information Management System will show you how you can use Moodle to set up an environment that enables you to disseminate information about your educational program, provides a forum for communication amongst all those involved in your institution, and even allows you to control your course registration and enrollment. This book is written on version 1.9 and also includes examples applicable to version 2.0.This book will show you how to create courses and organize them into categories. You will learn to assign teachers to each course, which will greatly help you to manage timetables and student enrolment, which can otherwise be a very frustrating and time consuming task. You will learn how to display the different aspects of your Curriculum and Information Management System to make it easily accessible and navigable for staff and students alike, ensuring that everyone knows what they are doing and where they are meant to be.

Cloning Internet Applications with Ruby. Make clones of some of the best applications on the Web using the dynamic and object-oriented features of Ruby

Chang Sau Sheong

Most users on the Internet have a few favorite Internet web applications that they use often and cannot do without. These popular applications often provide essential services that we need even while we don’t fully understand its features or how they work. Ruby empowers you to develop your own clones of such applications without much ordeal. Learning how these sites work and describing how they can be implemented enables you to move to the next step of customizing them and enabling your own version of these services.This book shows the reader how to clone some of the Internet's most popular applications in Ruby by first identifying their main features, and then showing example Ruby code to replicate this functionality.While we understand that it connects us to our friends and people we want to meet up with, what is the common feature of a social network that makes it a social network? And how do these features work? This book is the answer to all these questions. It will provide a step-by-step explanation on how the application is designed and coded, and then how it is deployed to the Heroku cloud platform. This book’s main purpose is to break up popular Internet services such as TinyURL, Twitter, Flickr, and Facebook to understand what makes it tick. Then using Ruby, the book describes how a minimal set of features for these sites can be modeled, built, and deployed on the Internet.

Computer Programming for Absolute Beginners. Learn essential computer science concepts and coding techniques to kick-start your programming career

Joakim Wassberg

Learning how to code has many advantages, and gaining the right programming skills can have a massive impact on what you can do with your current skill set and the way you advance in your career. This book will be your guide to learning computer programming easily, helping you overcome the difficulties in understanding the major constructs in any mainstream programming language.Computer Programming for Absolute Beginners starts by taking you through the building blocks of any programming language with thorough explanations and relevant examples in pseudocode. You'll understand the relationship between computer programs and programming languages and how code is executed on the computer. The book then focuses on the different types of applications that you can create with your programming knowledge. You'll delve into programming constructs, learning all about statements, operators, variables, and data types. As you advance, you'll see how to control the flow of your programs using control structures and reuse your code using functions. Finally, you'll explore best practices that will help you write code like a pro.By the end of this book, you'll be prepared to learn any programming language and take control of your career by adding coding to your skill set.

Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition

Dr. Basant Agarwal

Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You’ll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer.By the end of this Python book, you’ll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.