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Podcasts
David Cuartielles, Andreas Göransson, Eric Foster-Johnson
Java is a versatile, popular programming language used across a wide range of industries. Learning how to write effective Java code can take your career to the next level, and The Java Workshop will help you do just that. This book is designed to take the pain out of Java coding and teach you everything you need to know to be productive in building real-world software.The Workshop starts by showing you how to use classes, methods, and the built-in Collections API to manipulate data structures effortlessly. You’ll dive right into learning about object-oriented programming by creating classes and interfaces and making use of inheritance and polymorphism. After learning how to handle exceptions, you’ll study the modules, packages, and libraries that help you organize your code. As you progress, you’ll discover how to connect to external databases and web servers, work with regular expressions, and write unit tests to validate your code. You’ll also be introduced to functional programming and see how to implement it using lambda functions. By the end of this Workshop, you’ll be well-versed with key Java concepts and have the knowledge and confidence to tackle your own ambitious projects with Java.
Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
Feature store is one of the storage layers in machine learning (ML) operations, where data scientists and ML engineers can store transformed and curated features for ML models. This makes them available for model training, inference (batch and online), and reuse in other ML pipelines. Knowing how to utilize feature stores to their fullest potential can save you a lot of time and effort, and this book will teach you everything you need to know to get started.Feature Store for Machine Learning is for data scientists who want to learn how to use feature stores to share and reuse each other's work and expertise. You’ll be able to implement practices that help in eliminating reprocessing of data, providing model-reproducible capabilities, and reducing duplication of work, thus improving the time to production of the ML model. While this ML book offers some theoretical groundwork for developers who are just getting to grips with feature stores, there's plenty of practical know-how for those ready to put their knowledge to work. With a hands-on approach to implementation and associated methodologies, you'll get up and running in no time.By the end of this book, you’ll have understood why feature stores are essential and how to use them in your ML projects, both on your local system and on the cloud.
Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS.This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR.By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS.
The earlier a site appears in the search results list, the more visitors it will receive from the search engine. Despite several advantages, many Drupal sites suffer with poor search engine standings. Perhaps you are aware of the importance of SEO for increasing traffic to your site, but do you know how to apply it to your Drupal site? Here comes the first book about search engine optimization for Drupal sites.This practical, step-by-step guide takes the mystery out of Drupal search engine optimization (SEO) by showing you the tricks of today's top marketing pros to achieve top ranking in the search engines. This isn't a book of Drupal SEO theory ñ it's a practical guide showing you which modules to install, which settings to use, and dozens of the most closely guarded tricks of the trade to get your web site optimized, higher in the search engines, and more profitable.With this book and basic Drupal 6 knowledge ñ how to log in, create content, and install modules ñ you can build a perfectly search engine optimized web site. Each chapter uses easy, step-by-step instructions to walk you through the Drupal SEO modules, configurations, and content you will need to increase traffic on your web site. You start by reviewing the modules and tools that you should use to optimize your site, how to set up your analytics, and so on. Each subsequent chapter gives detailed instructions on implementing these features in Drupal. Later chapters cover topics like site organization, A/B testing, and automatic content tagging to maximize SEO and increase the conversion rate of your web site. When you have completed the book, you will have implemented the changes to your site required to rank well in the search engines. If you want to maximize the return on investment of your Drupal 6 web site and gain a significant advantage over competitors who are not using Drupal, then this book is for you. Imagine how great you'll feel when your site is optimized to increase the number of visitors and convert them into paying customers.
The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers.The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face.The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification.By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets.
Enter the world of Decentralized Finance (DeFi) with Building Full Stack DeFi Applications. Understand how this blockchain-based financial technology, designed to manage crypto assets, runs independently without centralized financial institutions like banks and brokerages, eliminating the fees that banks and other financial companies charge for using their services. This book will show you how DeFi solutions are built with smart contracts running on blockchains and how they allow users to gain and earn crypto assets based on the trust of the smart contracts.This book uncovers the inner workings of DeFi by guiding you through the mathematical foundations and teaching you how to build real-world DeFi products with Solidity and JavaScript. As you progress through the chapters, you’ll learn how to implement smart contracts of liquidity pools to trade cryptocurrencies and implement staking, including farming features that allow users to earn. You’ll also find out how to create asset pools that allow users to lend and borrow cryptocurrencies and generate interest. Additionally, you’ll discover how to use Web3 libraries to build the frontend of DeFi products.By the end of this book, you’ll will be well acquainted with popular tools, libraries, and design patterns for implementing a full-stack DeFi application with Web3 and Solidity.
QlikView Unlocked. Unlock more than 50 amazing tips and tricks to enhance your QlikView skills
QlikView Unlocked will provide you with new insights to get the very best from QlikView. This book will help you to develop skills to work with data efficiently. We will cover all the secrets of unleashing the full power of QlikView, which will enable you to make better use of the tool and create better results for future projects. In the course of this book, we will walk you through techniques and best practices that will enable you to be more productive. You will gain quick insights into the tool with the help of short steps called ”keys,” which will help you discover new features of QlikView. Moving on you will learn new techniques for data visualization, scripting, data modeling, and more. This book will then cover best practices to help you establish an efficient system with improved performance. We will also teach you some tricks that will help you speed up development processes, monitor data with dashboards, and so on.By the end of this book, you will have gained beneficial tips, tricks, and techniques to enhance the overall experience of working with QlikView.
Phani Kumar Lingamallu, Fabio Braga de Oliveira
As modern application architecture grows increasingly complex, identifying potential points of failure and measuring end user satisfaction, in addition to monitoring application availability, is key. This book helps you explore AWS observability tools that provide end-to-end visibility, enabling quick identification of performance bottlenecks in distributed applications.You’ll gain a holistic view of monitoring and observability on AWS, starting from observability basics using Amazon CloudWatch and AWS X-Ray to advanced ML-powered tools such as AWS DevOps Guru. As you progress, you'll learn about AWS-managed open source services such as AWS Distro for OpenTelemetry (ADOT) and AWS managed Prometheus, Grafana, and the ELK Stack. You’ll implement observability in EC2 instances, containers, Kubernetes, and serverless apps and grasp UX monitoring. With a fair mix of concepts and examples, this book helps you gain hands-on experience in implementing end-to-end AWS observability in your applications and navigating and troubleshooting performance issues with the help of use cases. You'll also learn best practices and guidelines, such as how observability relates to the Well-Architected Framework.By the end of this AWS book, you’ll be able to implement observability and monitoring in your apps using AWS’ native and managed open source tools in real-world scenarios.
Moodle, the world's most popular, free open-source Learning Management System (LMS) has released several new features and enhancements in its latest 3.0 release. More and more colleges, universities, and training providers are using Moodle, which has helped revolutionize e-learning with its flexible, reusable platform and components. This book brings together step-by-step, easy-to-follow instructions to leverage the full power of Moodle 3 to build highly interactive and engaging courses that run on a wide range of platforms including mobile and cloud.Beginning with developing an effective online course, you will write learning outcomes that align with Bloom's taxonomy and list the kinds of instructional materials that will work given one's goal. You will gradually move on to setting up different types of forums for discussions and incorporating multi-media from cloud-base sources. You will then focus on developing effective timed tests, self-scoring quizzes while organizing the content, building different lessons, and incorporating assessments. Lastly, you will dive into more advanced topics such as creating interactive templates for a full course by focussing on creating each element and create workshops and portfolios which encourage engagement and collaboration
Securing resources in the cloud is challenging, given that each provider has different mechanisms and processes. Cloud Security Handbook helps you to understand how to embed security best practices in each of the infrastructure building blocks that exist in public clouds.This book will enable information security and cloud engineers to recognize the risks involved in public cloud and find out how to implement security controls as they design, build, and maintain environments in the cloud. You'll begin by learning about the shared responsibility model, cloud service models, and cloud deployment models, before getting to grips with the fundamentals of compute, storage, networking, identity management, encryption, and more. Next, you'll explore common threats and discover how to stay in compliance in cloud environments. As you make progress, you'll implement security in small-scale cloud environments through to production-ready large-scale environments, including hybrid clouds and multi-cloud environments. This book not only focuses on cloud services in general, but it also provides actual examples for using AWS, Azure, and GCP built-in services and capabilities.By the end of this cloud security book, you'll have gained a solid understanding of how to implement security in cloud environments effectively.
Stefan Gossner, Lim Mei Ying, Angus Logan, Andrew Connell
Microsoft Content Management Server 2002 is a dynamic web publishing system with which you can build websites quickly and cost-efficiently. MCMS provides the administration, authoring, and data management functionality, and you provide the website interface, logic, and workflow. Microsoft SharePoint Portal Server (SPS) also features in the book. SPS 2003 enables enterprises to deploy an intelligent portal that seamlessly connects users, teams, and knowledge so that people can take advantage of relevant information across business processes to help them work more efficiently.You've mastered the basics of MCMS, and setup your own MCMS installation. You've only scratched the surface. This book is your gateway to squeezing every penny from your investment in MCMS and SPS, and making these two applications work together to provide an outstanding richness of content delivery and easy maintainability. As a developer, the Publishing API (PAPI) is at the heart of your work with MCMS, and this book starts by taking you on the most detailed tour of the PAPI you will find anywhere. As a live example, a component that reveals the structure of your MCMS site is created, taking you through how to manage the common elements of MCMS programmatically. Getting SharePoint and MCMS to work together is the next stop in the book. You will see how to use SharePoint's search engine to search MCMS content, publish content between the two systems, and create SharePoint Web Parts to draw content from MCMS.To ease your everyday work with MCMS, there are chapters on placeholder validation, and some useful custom placeholders for common MCMS tasks, such as a date-time picker, a placeholder for multiple attachments, and a DataGrid placeholder among others. There are a number of ways to consume MCMS content from the outside world, and we look at two exciting ways here; RSS and InfoPath/Web Services. The InfoPath solution provides another interface to MCMS content that allows content authors to concentrate on content and not the presentation. The book is rounded off with a number of must-have MCMS tips and tricks.Revert a posting to a previous version Change a postingÔø???s template Build a recycle bin Deal with links to deleted resources Update a postingÔø???s properties directly from a template file Re-write ugly URLs to friendly URLs Export resource gallery items using the site deployment API (SDAPI) Configure the position and size of the Web Author Console Dialogs Get frames and IFrames to work correctly in a template file
Gilbert Mizrahi, Daniel Serfaty
Unlocking the Secrets of Prompt Engineering is your key to mastering the art of AI-driven writing. This book propels you into the world of large language models (LLMs), empowering you to create and apply prompts effectively for diverse applications, from revolutionizing content creation and chatbots to coding assistance.Starting with the fundamentals of prompt engineering, this guide provides a solid foundation in LLM prompts, their components, and applications. Through practical examples and use cases, you'll discover how LLMs can be used for generating product descriptions, personalized emails, social media posts, and even creative writing projects like fiction and poetry. The book covers advanced use cases such as creating and promoting podcasts, integrating LLMs with other tools, and using AI for chatbot development. But that’s not all. You'll also delve into the ethical considerations, best practices, and limitations of using LLM prompts as you experiment and optimize your approach for best results.By the end of this book, you'll have unlocked the full potential of AI in writing and content creation to generate ideas, overcome writer's block, boost productivity, and improve communication skills.
The OUYA console and development kit gives you the power to publish video games for the players, creating a console marketplace of the gamers, for the gamers, and by the gamers. Using the OUYA developer kit and the Unity3D game engine, even beginners with a captivating game idea can bring it to life with a hint of imagination.OUYA Game Development by Example uses a series of feature-based, step-by-step tutorials that teach beginners how to integrate essential elements into a game engine and then combine them to form a polished gaming experience.
Amar Deep Singh, Jeff Carpenter
Reliable automation is crucial for any code change going into production. A release pipeline enables you to deliver features for your users efficiently and promptly. AWS CodePipeline, with its powerful integration and automation capabilities of building, testing, and deployment, offers a unique solution to common software delivery issues such as outages during deployment, a lack of standard delivery mechanisms, and challenges faced in creating sustainable pipelines.You’ll begin by developing a Java microservice and using AWS services such as CodeCommit, CodeArtifact, and CodeGuru to manage and review the source code. You’ll then learn to use the AWS CodeBuild service to build code and deploy it to AWS infrastructure and container services using the CodeDeploy service. As you advance, you’ll find out how to provision cloud infrastructure using CloudFormation templates and Terraform. The concluding chapters will show you how to combine all these AWS services to create a reliable and automated CodePipeline for delivering microservices from source code check-in to deployment without any downtime. Finally, you’ll discover how to integrate AWS CodePipeline with third-party services such as Bitbucket, Blazemeter, Snyk, and Jenkins.By the end of this microservices book, you’ll have gained the hands-on skills to build release pipelines for your applications.