Continuous Delivery and DevOps - A Quickstart Guide. Start your journey to successful adoption of CD and DevOps - Third Edition

Paul Swartout

Over the past few years, Continuous Delivery (CD) and DevOps have been in the spotlight in tech media, at conferences, and in boardrooms alike. Many articles and books have been written covering the technical aspects of CD and DevOps, yet the vast majority of the industry doesn’t fully understand what they actually are and how, if adopted correctly they can help organizations drastically change the way they deliver value. This book will help you figure out how CD and DevOps can help you to optimize, streamline, and improve the way you work to consistently deliver quality software. In this edition, you’ll be introduced to modern tools, techniques, and examples to help you understand what the adoption of CD and DevOps entails. It provides clear and concise insights in to what CD and DevOps are all about, how to go about both preparing for and adopting them, and what quantifiable value they bring. You will be guided through the various stages of adoption, the impact they will have on your business and those working within it, how to overcome common problems, and what to do once CD and DevOps have become truly embedded. Included within this book are some real-world examples, tricks, and tips that will help ease the adoption process and allow you to fully utilize the power of CD and DevOps

Continuous Integration, Delivery, and Deployment. Reliable and faster software releases with automating builds, tests, and deployment

Sander Rossel

The challenge faced by many teams while implementing Continuous Deployment is that it requires the use of many tools and processes that all work together. Learning and implementing all these tools (correctly) takes a lot of time and effort, leading people to wonder whether it's really worth it. This book sets up a project to show you the different steps, processes, and tools in Continuous Deployment and the actual problems they solve.We start by introducing Continuous Integration (CI), deployment, and delivery as well as providing an overview of the tools used in CI. You'll then create a web app and see how Git can be used in a CI environment. Moving on, you'll explore unit testing using Jasmine and browser testing using Karma and Selenium for your app. You'll also find out how to automate tasks using Gulp and Jenkins. Next, you'll get acquainted with database integration for different platforms, such as MongoDB and PostgreSQL. Finally, you'll set up different Jenkins jobs to integrate with Node.js and C# projects, and Jenkins pipelines to make branching easier.By the end of the book, you'll have implemented Continuous Delivery and deployment from scratch.

Conversational AI with Rasa. Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots

Xiaoquan Kong, Guan Wang, Alan Nichol

The Rasa framework enables developers to create industrial-strength chatbots using state-of-the-art natural language processing (NLP) and machine learning technologies quickly, all in open source.Conversational AI with Rasa starts by showing you how the two main components at the heart of Rasa work – Rasa NLU (natural language understanding) and Rasa Core. You'll then learn how to build, configure, train, and serve different types of chatbots from scratch by using the Rasa ecosystem. As you advance, you'll use form-based dialogue management, work with the response selector for chitchat and FAQ-like dialogs, make use of knowledge base actions to answer questions for dynamic queries, and much more. Furthermore, you'll understand how to customize the Rasa framework, use conversation-driven development patterns and tools to develop chatbots, explore what your bot can do, and easily fix any mistakes it makes by using interactive learning. Finally, you'll get to grips with deploying the Rasa system to a production environment with high performance and high scalability and cover best practices for building an efficient and robust chat system.By the end of this book, you'll be able to build and deploy your own chatbots using Rasa, addressing the common pain points encountered in the chatbot life cycle.

Corporate Learning with Moodle Workplace. Explore concepts, implementation, and strategies for adopting Moodle Workplace in your organization

Alex Büchner

Moodle Workplace is a comprehensive extension to Standard Moodle, the world's most used learning management system (LMS) platform, empowering millions of learners worldwide. Moodle Workplace is suitable for businesses and organizations, from small enterprises to global corporations.Corporate Learning with Moodle Workplace is a comprehensive introduction to this latest product from Moodle, which facilitates collaborative learning in enterprises and larger teams. Complete with detailed descriptions, a variety of diagrams, and real working examples, this easy-to-follow guide will teach you everything you need to know to manage a Moodle Workplace system. You’ll learn how to manage your users along reporting lines and organize them in to tenants, organizations, positions, job assignments, and teams, before setting up typical HR processes such as induction, compliance, and reporting. Filled with real-world examples, the book covers blended and offline scenarios, including appointments and the Moodle Workplace mobile app.By the end of this Moodle book, you’ll have learned how to fully manage a Moodle Workplace instance.

Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio

Kedeisha Bryan, Taamir Ransome

Preparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey.The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you’ll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you’ll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions.By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.

Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field

Leondra R. Gonzalez, Aaren Stubberfield, Angela Baltes

The data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company.Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you’ll find tips on job hunting, resume writing, and creating a top-notch portfolio. You’ll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview.By the end of this interview guide, you’ll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.

Creating Stunning Dashboards with QlikView. Bring real business insights to your company through effective and engaging dashboards in QlikView

Julian Villafuerte

QlikView is one of the most powerful analytical tools in the market. Based on an in-memory associative model, it lets users freely navigate through the data, spot trends and make better decisions. This platform is capable of integrating a wide range of data sources like ERP systems, data warehouses or spreadsheets into a single application in order display dashboards with state-of-the-art visualizations.Creating Stunning Dashboards with QlikView is an easy to follow handbook that guides you through the process of creating an effective and engaging dashboard that delivers tangible value to the business. It starts with the identification of the business needs and the definition of the main KPIs, and takes you all the way to the application rollout.Throughout the book, you will learn how to apply some of the best practices in the field of data visualization, create a robust navigation schema, chose the best chart types for each scenario and many other things that will help you create effective dashboards that uncover all the stories behind the data.

Ctrl+Shift+Enter Mastering Excel Array Formulas. Do the Impossible with Excel Formulas with Array Formula Magic

MrExcel's Holy Macro! Books, Mike Girvin

Excel users often encounter limitations with standard formulas, but the Ctrl+Shift+Enter technique changes everything. This book is your gateway to mastering Excel array formulas, revealing their potential to solve complex problems effortlessly. You'll start with the basics, understand the fundamental concepts of array formulas, and gradually progress to advanced applications, including mathematical operations, comparative calculations, and dynamic ranges.Each chapter is crafted to build your confidence and expertise. From performing array operations that manipulate large datasets efficiently to utilizing advanced functions like SUMPRODUCT and AGGREGATE, you will learn how to apply these tools to real-world scenarios. The guide also covers the creation of dynamic ranges with INDEX and OFFSET, ensuring your formulas remain flexible and powerful even as your data changes.By the end of the book, you'll not only understand the theoretical aspects of array formulas but also possess the practical skills to implement them effectively. Whether you're creating complex financial models, conducting detailed data analysis, or automating routine tasks, this guide equips you with the knowledge to transform your Excel capabilities and achieve more with less effort.

Customer Success with Microsoft Dynamics Sure Step. Having invested in Microsoft Dynamics, your enterprise will want to make a success of it, which is where this guide to Sure Step comes in, teaching you how to apply the methodologies to ensure optimum results

Chandru Shankar, Vincent Bellefroid, Nilesh Thakkar

D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition

Aendrew Rininsland, Swizec Teller

Want to get started with impressive interactive visualizations and implement them in your daily tasks? This book offers the perfect solution-D3.js. It has emerged as the most popular tool for data visualization. This book will teach you how to implement the features of the latest version of D3 while writing JavaScript using the newest tools and techniqueYou will start by setting up the D3 environment and making your first basic bar chart. You will then build stunning SVG and Canvas-based data visualizations while writing testable, extensible code,as accurate and informative as it is visually stimulating. Step-by-step examples walk you through creating, integrating, and debugging different types of visualization and will have you building basic visualizations (such as bar, line, and scatter graphs) in no time.By the end of this book, you will have mastered the techniques necessary to successfully visualize data and will be ready to use D3 to transform any data into an engaging and sophisticated visualization.

D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript

Matthew Huntington

D3.js is a JavaScript library that allows you to create graphs and data visualizations in the browser with HTML, SVG, and CSS. This book will take you from the basics of D3.js, so that you can create your own interactive visualizations, to creating the most common graphs that you will encounter as a developer, scientist, statistician, or data scientist.The book begins with an overview of SVG, the basis for creating two-dimensional graphics in the browser. Once the reader has a firm understanding of SVG, we will tackle the basics of how to use D3.js to connect data to our SVG elements. We will start with a scatter plot that maps run data to circles on a graph, and expand our scatter plot to make it interactive. You will see how you can easily allow the users of your graph to create, edit, and delete run data by simply dragging and clicking the graph. Next, we will explore creating a bar graph, using external data from a mock API.After that, we will explore animations and motion with a bar graph, and use various physics-based forces to create a force-directed graph. Finally, we will look at how to use GeoJSON data to create a map.

Dancing with Qubits. From qubits to algorithms, embark on the quantum computing journey shaping our future - Second Edition

Robert S. Sutor

Dancing with Qubits, Second Edition, is a comprehensive quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. A full description of classical computing and the mathematical underpinnings of quantum computing follows, helping you better understand concepts such as superposition, entanglement, and interference. Next up are circuits and algorithms, both basic and sophisticated, as well as a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments may affect you.This new edition is updated throughout with more than 100 new exercises and includes new chapters on NISQ algorithms and quantum machine learning.Understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is explained thoroughly and with helpful examples, leaving you with a solid foundation of knowledge in quantum computing that will help you pursue and leverage quantum-led technologies.

Dancing with Qubits. How quantum computing works and how it can change the world

Robert S. Sutor

Quantum computing is making us change the way we think about computers. Quantum bits, a.k.a. qubits, can make it possible to solve problems that would otherwise be intractable with current computing technology. Dancing with Qubits is a quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. From there it moves on to a fuller description of classical computing and the mathematical underpinnings necessary to understand such concepts as superposition, entanglement, and interference. Next up is circuits and algorithms, both basic and more sophisticated. It then nicely moves on to provide a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments will affect you.Really understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is introduced and explained thoroughly, in clear English with helpful examples.

Dane grafowe w praktyce. Jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów

Denise Gosnell, Matthias Broecheler

Komputer do pracy potrzebuje liczb i danych. Człowiek chętniej wysnuwa wnioski i wyodrębnia kontekst na podstawie relacji. Te dwa sposoby myślenia są tak odmienne, że komputery do niedawna z trudem wykonywały zadania związane z operowaniem na relacjach. Obecnie może się to zmienić dzięki grafom. Technologie grafowe łączą ludzkie postrzeganie świata i liniową pamięć komputerów. Ich wdrożenie na szerszą skalę będzie stanowić przełom i pozwoli osiągnąć nieznany dziś poziom. Ale najpierw trzeba nauczyć się stosować myślenie grafowe w rozwiązywaniu problemów technicznych. Dzięki tej książce opanujesz podstawy myślenia grafowego. Zapoznasz się z elementarnymi koncepcjami grafowymi: teorią grafów, schematami baz danych, systemami rozproszonymi, a także analizą danych. Dowiesz się również, jak wyglądają typowe wzorce wykorzystania danych grafowych w aplikacjach produkcyjnych. Poznasz sposób, w jaki można te wzorce stosować w praktyce. Pokazano tu, jak używać technik programowania funkcyjnego oraz systemów rozproszonych do tworzenia zapytań i analizowania danych grafowych. Opisano też podstawowe podejścia do proceduralnego przechodzenia przez dane grafowe i ich wykorzystanie za pomocą narzędzi grafowych. W książce: nowy paradygmat rozwiązywania problemów: dane grafowe wzorce wykorzystania danych grafowych przykładowa architektura aplikacji w technologiach relacyjnych i grafowych technologie grafowe a przewidywanie preferencji i zaufania użytkowników filtrowanie kolaboratywne i jego zastosowanie Grafy: przełomowa koncepcja w analizie danych!

Data Analysis and Business Modeling with Excel 2013. Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information

Hernan D Rojas, David Rojas

Data Analysis for Business Decisions. A Laboratory Manual

Mercury Learning and Information, Andres Fortino

This manual is for business analysts to enhance their statistical analysis skills, with case studies focusing mainly on Excel. It covers basic descriptive techniques, linear regression, forecasting, t-Test, chi-square, A/B testing, text data analysis, and Big Data management. Companion files include solution spreadsheets, sample files, and data sets.The course starts with data shaping and cleaning, installing the Analysis ToolPak, and descriptive statistics. It progresses through histograms, scatter plots, Pareto analysis, correlation, linear and multivariate regression, and forecasting. Advanced topics include inferential statistics, contingency analysis, and A/B testing. The final chapters cover text analytics, big data sets, and data visualization.These techniques are crucial for informed business decisions. This book guides users from basic to advanced analysis, blending theory with practical skills. Companion files enhance learning, making this manual essential for mastering statistical analysis in business.