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Fast Data Processing Systems with SMACK Stack. Click here to enter text
Raúl Estrada
SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the newest technique developers have begun to use to tackle critical real-time analytics for big data. This highly practical guide will teach you how to integrate these technologies to create a highly efficient data analysis system for fast data processing.We’ll start off with an introduction to SMACK and show you when to use it. First you’ll get to grips with functional thinking and problem solving using Scala. Next you’ll come to understand the Akka architecture. Then you’ll get to know how to improve the data structure architecture and optimize resources using Apache Spark. Moving forward, you’ll learn how to perform linear scalability in databases with Apache Cassandra. You’ll grasp the high throughput distributed messaging systems using Apache Kafka. We’ll show you how to build a cheap but effective cluster infrastructure with Apache Mesos. Finally, you will deep dive into the different aspect of SMACK using a few case studies. By the end of the book, you will be able to integrate all the components of the SMACK stack and use them together to achieve highly effective and fast data processing.
Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition
Krishna Sankar , Holden Karau
When people want a way to process big data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it’s unsurprising that it’s becoming popular with data analysts and engineers everywhere. Beginning with the fundamentals, we’ll show you how to get set up with Spark with minimum fuss. You’ll then get to grips with some simple APIs before investigating machine learning and graph processing – throughout we’ll make sure you know exactly how to apply your knowledge. You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that’s not enough, you’ll also learn some useful Machine Learning algorithms with the help of Spark MLlib and integrating Spark with R. We’ll also make sure you’re confident and prepared for graph processing, as you learn more about the GraphX API.
FastAPI Cookbook. Develop high-performance APIs and web applications with Python
Giunio De Luca, Antonio Ferraro
FastAPI is a cutting-edge Python framework that is revolutionizing the way web apps and APIs are built. Known for its speed, simplicity, and scalability, FastAPI empowers developers to create high-performing applications with ease. This book will help you leverage FastAPI’s immense potential to handle high-traffic scenarios and integrate seamlessly with modern Python tools.The book begins by familiarizing you with the basics of setting up and configuring your FastAPI environment before moving to the intricacies of building RESTful APIs, managing data with SQL and NoSQL databases, and handling authentication and authorization. Next, you'll focus on advanced topics such as custom middleware, WebSocket communication, and integration with various Python libraries. Each chapter is meticulously crafted with practical recipes, progressing from foundational concepts to advanced features and best practices. The concluding chapters show you how to optimize performance, implement rate limiting, and execute background tasks, empowering you to become a proficient FastAPI developer.By the end of this book, you'll have gained the skills you need to migrate existing apps to FastAPI, and be equipped to tackle any challenge in the modern web development landscape, ensuring your apps are not only functional, but also efficient, secure, and scalable.
Joydeep Bhattacharjee
Facebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and gaining efficient data insights requires powerful NLP tools such as fastText. This book is your ideal introduction to fastText. You will learn how to create fastText models from the command line, without the need for complicated code. You will explore the algorithms that fastText is built on and how to use them for word representation and text classification. Next, you will use fastText in conjunction with other popular libraries and frameworks such as Keras, TensorFlow, and PyTorch. Finally, you will deploy fastText models to mobile devices. By the end of this book, you will have all the required knowledge to use fastText in your own applications at work or in projects.
David Cornelius
Delphi is a strongly typed, event-driven programming language with a rich ecosystem of frameworks and support tools. It comes with an extensive set of web and database libraries for rapid application development on desktop, mobile, and internet-enabled devices. This book will help you keep up with the latest IDE features and provide a sound foundation of project management and recent language enhancements to take your productivity to the next level.You’ll discover how simple it is to support popular mobile device features such as sensors, cameras, and GPS. The book will help you feel comfortable working with FireMonkey and styles and incorporating 3D user interfaces in new ways. As you advance, you’ll be able to build cross-platform solutions that not only look native but also take advantage of a wide array of device capabilities. You’ll also learn how to use embedded databases, such as SQLite and InterBase ToGo, synchronizing them with your own custom backend servers or modules using the powerful RAD Server engine. The book concludes by sharing tips for testing and deploying your end-to-end application suite for a smooth user experience.By the end of this book, you’ll be able to deliver modern enterprise applications using Delphi confidently.
Cuantum Technologies LLC
Feature engineering is essential for building robust predictive models. This book delves into practical techniques for transforming raw data into powerful features using Scikit-Learn. You'll explore automation, deep learning integrations, and advanced topics like feature selection and model evaluation. Learn to handle real-world data challenges, enhance accuracy, and streamline your workflows.Through hands-on projects, readers will gain practical experience with techniques such as clustering, pipelines, and feature selection, applied to domains like retail and healthcare. Step-by-step instructions ensure a comprehensive learning journey, from foundational concepts to advanced automation and hybrid modeling approaches.By combining theory with real-world applications, the book equips data professionals with the tools to unlock the full potential of machine learning models. Whether working with structured datasets or integrating deep learning features, this guide provides actionable insights to tackle any data transformation challenge effectively.
Sinan Ozdemir, Divya Susarla
Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective.You will start with understanding your data—often the success of your ML models depends on how you leverage different feature types, such as continuous, categorical, and more, You will learn when to include a feature, when to omit it, and why, all by understanding error analysis and the acceptability of your models. You will learn to convert a problem statement into useful new features. You will learn to deliver features driven by business needs as well as mathematical insights. You'll also learn how to use machine learning on your machines, automatically learning amazing features for your data.By the end of the book, you will become proficient in Feature Selection, Feature Learning, and Feature Optimization.
Michael Gillett, John Kodumal
Over the past few years, DevOps has become the de facto approach for designing, building, and delivering software. Feature management is now extending the DevOps methodology to allow applications to change on demand and run experiments to validate the success of new features. If you want to make feature management happen, LaunchDarkly is the tool for you.This book explains how feature management is key to building modern software systems. Starting with the basics of LaunchDarkly and configuring simple feature flags to turn features on and off, you'll learn how simple functionality can be applied in more powerful ways with percentage-based rollouts, experimentation, and switches. You'll see how feature management can change the way teams work and how large projects, including migrations, are planned. Finally, you'll discover various uses of every part of the tool to gain mastery of LaunchDarkly. This includes tips and tricks for experimentation, identifying groups and segments of users, and investigating and debugging issues with specific users and feature flag evaluations.By the end of the book, you'll have gained a comprehensive understanding of LaunchDarkly, along with knowledge of the adoption of trunk-based development workflows and methods, multi-variant testing, and managing infrastructure changes and migrations.
Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
Jayanth Kumar M J
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.
Kiyoshi Nakayama, PhD , George Jeno
Federated learning (FL) is a paradigm-shifting technology in AI that enables and accelerates machine learning (ML), allowing you to work on private data. It has become a must-have solution for most enterprise industries, making it a critical part of your learning journey. This book helps you get to grips with the building blocks of FL and how the systems work and interact with each other using solid coding examples.FL is more than just aggregating collected ML models and bringing them back to the distributed agents. This book teaches you about all the essential basics of FL and shows you how to design distributed systems and learning mechanisms carefully so as to synchronize the dispersed learning processes and synthesize the locally trained ML models in a consistent manner. This way, you’ll be able to create a sustainable and resilient FL system that can constantly function in real-world operations. This book goes further than simply outlining FL's conceptual framework or theory, as is the case with the majority of research-related literature.By the end of this book, you’ll have an in-depth understanding of the FL system design and implementation basics and be able to create an FL system and applications that can be deployed to various local and cloud environments.
Fedora Linux System Administration. Install, manage, and secure your Fedora Linux environments
Alex Callejas
Fedora Linux is a free and open-source platform designed for hardware, clouds, and containers that enables software developers and community members to create custom solutions for their customers. This book is a comprehensive guide focusing on workstation configuration for the modern system administrator.The book begins by introducing you to the philosophy underlying the open-source movement, along with the unique attributes of the Fedora Project that set it apart from other Linux distributions. The chapters outline best practices and strategies for essential system administration tasks, including operating system installation, first-boot configuration, storage, and network setup. As you make progress, you’ll get to grips with the selection and usage of top applications and tools in the tech environment. The concluding chapters help you get a clear understanding of the basics of version control systems, enhanced Linux security, automation, virtualization, and containers, which are integral to modern system administration.By the end of this book, you’ll have gained the knowledge needed to optimize day-to-day tasks related to Linux-based system administration.
Alexander Zacharias
Whether you want to create short films, YouTube videos, music videos, or videos for any social event, Filmora is a powerful, innovative, and user-friendly video editing software that you can use for all this and much more!Filmora Efficient Editing is a comprehensive introduction for those who are new to video editing as well as those looking to transition to Filmora. The book starts by helping you develop an understanding of video editing and Filmora’s interface and gradually takes you through adding sources and exporting your first project. Next, you’ll learn how to make your videos engaging and fun using audio, personalization, the split-screen function, and Chroma keys. You’ll understand how to plan as well as create your videos using Filmora from scratch. With simplified concepts, steps, and real-world editing examples, this book covers applications such as YouTube, animated intros, professional marketing videos, and industry-standard tips.By the end of this video editing book, you’ll have learned how to use Filmora's powerful tools and functionality to create high-quality and professional videos from scratch.
Mike Eddy, Steve Martin
Supercharge your Final Cut Pro game with this recipe-packed guide designed for driven video professionals and ambitious editors. The author distills his 30+ years of experience spanning top brands, big screens, and award-winning classrooms in this book to equip you with expert techniques for streamlining editing, boosting performance, and producing polished, professional-grade videos. Each recipe includes clear explanations and examples, making complex concepts accessible and actionable.The book begins by guiding you through the Final Cut Pro interface and essential tools, providing a solid foundation for more advanced topics. From there, you’ll work through practical projects covering scratch audio, blend modes, and title object trackers. You’ll learn how to optimize workflows, manage media, and utilize time-saving keyboard shortcuts to boost productivity. The chapters also help you explore comprehensive techniques for color correction, visual effects, and exporting closed captions, ensuring your videos are polished and professional.By the end of this book, you’ll be able to confidently tackle complex projects, streamline your workflow, and produce stunning content. Whether you’re a new producer or a seasoned editor, this cookbook delivers the insights you need to refine your craft.
Final Cut Pro Efficient Editing. A step-by-step guide to smart video editing with FCP 10.6
Iain Anderson
Final Cut Pro (also known as FCP, previously Final Cut Pro X) is Apple’s efficient and accessible video editing software for everyone, offering powerful features that experienced editors and novices will find useful. FCP is the quickest way to transform your raw clips into a finished piece, so if speed is important, make this a key tool in your editing arsenal.Final Cut Pro Efficient Editing is a comprehensive best practice guide for all editors. You’ll not only learn how to use the features but also find out which ones are the most important and when you should use them. With the help of practical examples, the book will show you how typical footage can be assembled, trimmed, colored, and finessed to produce a finished edit, exploring a variety of techniques. As you progress through the book, you’ll follow a standard editing workflow to get the feel of working on real-world projects and answer self-assessment questions to make sure that you’re on track.By the end of this Final Cut Pro book, you’ll be well versed with the key features of this app and have all the tools you need to create impressive edits.
Iain Anderson
Elevate your video editing skills with Final Cut Pro 11 using practical workflows, expert techniques, and the latest features to enhance your creative process and give your videos a stunning look.The second edition of this comprehensive guide covers exciting new features in FCP, teaching you how to streamline your workflow with customizable workspaces, shortcuts, and advanced trimming tools. Explore impactful titles and a comprehensive suite of visual effects in Final Cut Pro for dynamic videos, discover Final Cut Pro's audio tools to create a great-sounding mix, and utilize the magnetic timeline, multicam editing, and enhanced color correction for every project.Whether you're creating content for social media, YouTube, or Hollywood, Final Cut Pro Efficient Editing, Second Edition will help you take your video editing skills to the next level.
Jason Cox
As technology becomes more and more accessible and easier to use, we are expected to do more in less time than ever before. Video editors are now expected to be able not only to edit, but create motion graphics, fix sound issues, enhance image quality and color and more. Also, many workers in the PR and marketing world are finding they need to know how to get viral videos made from start to finish as quickly as possible. Final Cut Pro X was built as a one-stop shop with all the tools needed to produce a professional video from beginning to end.The Final Cut Pro X Cookbook contains recipes that will take you from the importing process and basic mechanics of editing up through many of FCPX's advanced tools needed by top-tier editors on a daily basis. Edit quickly and efficiently, fix image and sound problems with ease, and get your video out to your client or the world easily.No program gets you from application launch to the actual editing process faster than FCPX. After covering the basics, the book hits the ground running showing readers how to produce professional quality videos even if video editing isn't your day job.The recipes inside are packed with more than 300 images helping illustrate time-saving editing tools, problem-solving techniques and how to spice up your video with beautiful effects and titles. We also dive into audio editing, color correction and dabble in FCPX's sister programs Motion and Compressor!With more than 100 recipes, the Final Cut Pro X Cookbook is a great aid for the avid enthusiast up to the 40-hour-a-week professional. This book contains everything you need to make videos that captivate your audiences.