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Podcasts
Programming Puzzles is a meticulously crafted collection designed to elevate your coding skills through engaging and challenging exercises. The book begins with a helpful guide on getting started, ensuring that readers are well-prepared to tackle the puzzles ahead. As you delve deeper, you'll encounter a series of challenge puzzles that test your logical thinking and problem-solving abilities, followed by fun puzzles that offer a more relaxed yet equally rewarding experience.Hints are provided for the challenge puzzles to guide you through particularly tough spots, ensuring you stay motivated without giving away the solutions. Once you've worked through the puzzles, comprehensive solutions are provided, allowing you to understand different approaches and learn from your mistakes. Each section of the book is designed to progressively build your skills, from basic logic to advanced problem-solving techniques, making it an invaluable resource for anyone looking to improve their programming abilities.The journey through this book is not just about finding solutions; it's about developing a deeper understanding of how to approach and solve complex problems. By the end of this book, you'll have honed your coding skills, enhanced your logical thinking, and gained a new appreciation for the art of problem-solving in programming.
BIRT is an Eclipse-based open source reporting system for web applications based on Java and Java EE. To address a wide range of reporting needs within a typical application, ranging from operational or enterprise reporting to multi-dimensional online analytical processing (OLAP), you need to know BIRT from head to toe. If you wish to start making reports easily and quickly, and also want to be up-to-date with the latest developments in BIRT, then this book is for you. It will guide you from scratch to develop reports using the Eclipse BIRT project. You will learn how to connect to data, use report items to display and format data, and use scripting to build advanced reports and charts.The book steers you through each step of report setup, to creating, designing, formatting, and deploying reports with data from a wide range of data sources. Its focus is on familiarizing you with the most visible and familiar product built with the BIRT framework – the BIRT Report Designer. It starts by introducing the concepts of business intelligence and open source software, and different installation methods. It will introduce you to the various visual report elements that can be used to design BIRT reports, such as the Palette and Grid components. You will learn the details of the data components of BIRT (the Data Source and the Data Set), different types of source data that BIRT supports such as XML files, flat text files, and databases, and the creation of all of the elements while connecting to Data Sources in reports and Report Projects. By the end of the book, you will be able to enhance the presentation of your report using Charts, Hyperlinks, and Drill Through. You will also be able to take advantage of the scripting capabilities that BIRT has to offer with Expressions and Event Handlers and successfully deploy BIRT reports.The book includes a case study at the end along with a real-world example that runs throughout the book.
DirectAccess is an amazing Microsoft technology that is truly the evolution of VPN; any Microsoft-centric shop needs this technology. DirectAccess is an automatic remote access solution that takes care of everything from planning to deployment.Microsoft DirectAccess Best Practices and Troubleshooting will provide you with the precise steps you need to take for the very best possible implementation of DirectAccess in your network. You will find answers to some of the most frequently asked questions from administrators and explore unique troubleshooting scenarios that you will want to understand in case they happen to you.Microsoft DirectAccess Best Practices and Troubleshooting outlines best practices for configuring DirectAccess in any network. You will learn how to configure Manage Out capabilities to plan, administer, and deploy DirectAccess client computers from inside the corporate network. You will also learn about a couple of the lesser-known capabilities within a DirectAccess environment and the log information that is available on the client machines.This book also focuses on some specific cases that portray unique or interesting troubleshooting scenarios that DirectAccess administrators may encounter. By describing the problem, the symptoms, and the fixes to these problems, the reader will be able to gain a deeper understanding of the way DirectAccess works and why these external influences are important to the overall solution.
Andrew Block, Austin Dewey, Rimantas Mocevicius "rimusz"
Containerization is one of the best ways to implement DevOps, and learning how to execute it effectively is an essential part of a developer’s skillset. Kubernetes is the current industry standard for container orchestration. This book will help you discover the efficiency of managing applications running on Kubernetes with Helm.Starting with a brief introduction to Helm and its impact on users working with containers and Kubernetes, you’ll delve into the primitives of Helm charts and their architecture and use cases. From there, you’ll understand how to write Helm charts in order to automate application deployment on Kubernetes and work your way toward more advanced strategies. These enterprise-ready patterns are focused on concepts beyond the basics so that you can use Helm optimally, looking at topics related to automation, application development, delivery, lifecycle management, and security.By the end of this book, you’ll have learned how to leverage Helm to build, deploy, and manage applications on Kubernetes.
Forecasting Time Series Data with Prophet will help you to implement Prophet's cutting-edge forecasting techniques to model future data with high accuracy using only a few lines of code. This second edition has been fully revised with every update to the Prophet package since the first edition was published two years ago. An entirely new chapter is also included, diving into the mathematical equations behind Prophet's models. Additionally, the book contains new sections on forecasting during shocks such as COVID, creating custom trend modes from scratch, and a discussion of recent developments in the open-source forecasting community.You'll cover advanced features such as visualizing forecasts, adding holidays and trend changepoints, and handling outliers. You'll use the Fourier series to model seasonality, learn how to choose between an additive and multiplicative model, and understand when to modify each model parameter. Later, you'll see how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models in production.By the end of this book, you'll be able to take a raw time series dataset and build advanced and accurate forecasting models with concise, understandable, and repeatable code.
Amazon SageMaker is a fully managed machine learning (ML) service that helps data scientists and ML practitioners manage ML experiments. In this book, you'll use the different capabilities and features of Amazon SageMaker to solve relevant data science and ML problems.This step-by-step guide features 80 proven recipes designed to give you the hands-on machine learning experience needed to contribute to real-world experiments and projects. You'll cover the algorithms and techniques that are commonly used when training and deploying NLP, time series forecasting, and computer vision models to solve ML problems. You'll explore various solutions for working with deep learning libraries and frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers in Amazon SageMaker. You'll also learn how to use SageMaker Clarify, SageMaker Model Monitor, SageMaker Debugger, and SageMaker Experiments to debug, manage, and monitor multiple ML experiments and deployments. Moreover, you'll have a better understanding of how SageMaker Feature Store, Autopilot, and Pipelines can meet the specific needs of data science teams.By the end of this book, you'll be able to combine the different solutions you've learned as building blocks to solve real-world ML problems.