Play Framework Essentials

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Play Framework Essentials
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Author : Julien Richard-Foy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-09-25
Play Framework Essentials written by Julien Richard-Foy and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-25 with Computers categories.
This book targets Java and Scala developers who already have some experience in web development and who want to master Play framework quickly and efficiently. This book assumes you have a good level of knowledge and understanding of efficient Java and Scala code.
Mastering Play Framework For Scala
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Author : Shiti Saxena
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-05-29
Mastering Play Framework For Scala written by Shiti Saxena and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-29 with Computers categories.
This book is intended for those developers who are keen to master the internal workings of Play Framework to effectively build and deploy web-related apps.
Framework Essentials Building Robust And Extensible Applications
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-03-10
Framework Essentials Building Robust And Extensible Applications written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Technology & Engineering categories.
Embark on a transformative journey into the world of software frameworks with our comprehensive guide, "Framework Essentials: Building Robust and Extensible Applications." This definitive resource is meticulously crafted to equip you with the knowledge and skills necessary to harness the power of frameworks and revolutionize your software development process. Within these pages, you'll discover a wealth of insights into the fundamentals of frameworks, delving into their intricate architectures and exploring the diverse range of frameworks available for various application domains. Learn how to navigate the complexities of data processing frameworks, agent-based frameworks, AI frameworks, and more, gaining a comprehensive understanding of their capabilities and limitations. This guide is not merely a theoretical exploration; it provides practical guidance to help you select the most suitable framework for your specific project requirements. Explore real-world case studies that showcase successful framework implementations, gleaning valuable lessons from the experiences of industry experts. Equip yourself with best practices for framework adoption and integration, ensuring seamless integration into your existing development environment. As you progress through this comprehensive guide, you'll master the art of developing robust, scalable, and maintainable applications with frameworks. Discover how frameworks can accelerate your development efforts, reduce code complexity, and enhance the overall quality of your software. Embrace the power of modularity and extensibility, enabling your applications to adapt effortlessly to changing requirements and future enhancements. Join a global community of developers who leverage frameworks to push the boundaries of innovation. Through collaborative knowledge sharing and peer support, you'll gain access to the latest advancements and best practices in framework development, ensuring that your skills remain sharp and your applications stay competitive. Whether you're a seasoned developer seeking to expand your expertise or a newcomer eager to unlock the potential of frameworks, "Framework Essentials" is your indispensable guide to mastering this transformative technology. Embrace the future of software development and unlock a world of possibilities with frameworks. If you like this book, write a review!
Scala Programming Mastery A Definitive Guide To Programming Essentials
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-07
Scala Programming Mastery A Definitive Guide To Programming Essentials written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.
"Scala Programming Mastery: A Definitive Guide to Programming Essentials" is the ultimate resource for developers determined to excel in the Scala programming language. This expertly crafted guide delves into Scala's extensive capabilities, merging object-oriented and functional programming paradigms with advanced topics like concurrency, design patterns, and smooth interoperability with both Java and JavaScript ecosystems. Whether you're a beginner or transitioning from another language, this book offers a clear, systematic exploration of Scala's syntax, control structures, collections, and much more. Emphasizing best practices and practical examples, each chapter builds upon the knowledge gained previously, ensuring a thorough understanding of Scala's elegant and powerful features. Step into the world of Scala programming with this definitive guide and harness the ability to create robust, scalable, and maintainable applications. Embrace the future of software development with "Scala Programming Mastery: A Definitive Guide to Programming Essentials" and become a part of the proficient Scala developer community.
Scala Applied Machine Learning
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Author : Pascal Bugnion
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-02-23
Scala Applied Machine Learning written by Pascal Bugnion and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-23 with Computers categories.
Leverage the power of Scala and master the art of building, improving, and validating scalable machine learning and AI applications using Scala's most advanced and finest features About This Book Build functional, type-safe routines to interact with relational and NoSQL databases with the help of the tutorials and examples provided Leverage your expertise in Scala programming to create and customize your own scalable machine learning algorithms Experiment with different techniques; evaluate their benefits and limitations using real-world financial applications Get to know the best practices to incorporate new Big Data machine learning in your data-driven enterprise and gain future scalability and maintainability Who This Book Is For This Learning Path is for engineers and scientists who are familiar with Scala and want to learn how to create, validate, and apply machine learning algorithms. It will also benefit software developers with a background in Scala programming who want to apply machine learning. What You Will Learn Create Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations Deploy scalable parallel applications using Apache Spark, loading data from HDFS or Hive Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters Apply key learning strategies to perform technical analysis of financial markets Understand the principles of supervised and unsupervised learning in machine learning Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet Construct reliable and robust data pipelines and manage data in a data-driven enterprise Implement scalable model monitoring and alerts with Scala In Detail This Learning Path aims to put the entire world of machine learning with Scala in front of you. Scala for Data Science, the first module in this course, is a tutorial guide that provides tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed building data science and data engineering solutions. The second course, Scala for Machine Learning guides you through the process of building AI applications with diagrams, formal mathematical notation, source code snippets, and useful tips. A review of the Akka framework and Apache Spark clusters concludes the tutorial. The next module, Mastering Scala Machine Learning, is the final step in this course. It will take your knowledge to next level and help you use the knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. By the end of this course, you will be a master at Scala machine learning and have enough expertise to be able to build complex machine learning projects using Scala. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Scala for Data Science, Pascal Bugnion Scala for Machine Learning, Patrick Nicolas Mastering Scala Machine Learning, Alex Kozlov Style and approach A tutorial with complete examples, this course will give you the tools to start building useful data engineering and data science solutions straightaway. This course provides practical examples from the field on how to correctly tackle data analysis problems, particularly for modern Big Data datasets.
Scala Guide For Data Science Professionals
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Author : Pascal Bugnion
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-02-24
Scala Guide For Data Science Professionals written by Pascal Bugnion and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-24 with Computers categories.
Scala will be a valuable tool to have on hand during your data science journey for everything from data cleaning to cutting-edge machine learning About This Book Build data science and data engineering solutions with ease An in-depth look at each stage of the data analysis process — from reading and collecting data to distributed analytics Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulations, and source code Who This Book Is For This learning path is perfect for those who are comfortable with Scala programming and now want to enter the field of data science. Some knowledge of statistics is expected. What You Will Learn Transfer and filter tabular data to extract features for machine learning Read, clean, transform, and write data to both SQL and NoSQL databases Create Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations Load data from HDFS and HIVE with ease Run streaming and graph analytics in Spark for exploratory analysis Bundle and scale up Spark jobs by deploying them into a variety of cluster managers Build dynamic workflows for scientific computing Leverage open source libraries to extract patterns from time series Master probabilistic models for sequential data In Detail Scala is especially good for analyzing large sets of data as the scale of the task doesn't have any significant impact on performance. Scala's powerful functional libraries can interact with databases and build scalable frameworks — resulting in the creation of robust data pipelines. The first module introduces you to Scala libraries to ingest, store, manipulate, process, and visualize data. Using real world examples, you will learn how to design scalable architecture to process and model data — starting from simple concurrency constructs and progressing to actor systems and Apache Spark. After this, you will also learn how to build interactive visualizations with web frameworks. Once you have become familiar with all the tasks involved in data science, you will explore data analytics with Scala in the second module. You'll see how Scala can be used to make sense of data through easy to follow recipes. You will learn about Bokeh bindings for exploratory data analysis and quintessential machine learning with algorithms with Spark ML library. You'll get a sufficient understanding of Spark streaming, machine learning for streaming data, and Spark graphX. Armed with a firm understanding of data analysis, you will be ready to explore the most cutting-edge aspect of data science — machine learning. The final module teaches you the A to Z of machine learning with Scala. You'll explore Scala for dependency injections and implicits, which are used to write machine learning algorithms. You'll also explore machine learning topics such as clustering, dimentionality reduction, Naive Bayes, Regression models, SVMs, neural networks, and more. This learning path combines some of the best that Packt has to offer into one complete, curated package. It includes content from the following Packt products: Scala for Data Science, Pascal Bugnion Scala Data Analysis Cookbook, Arun Manivannan Scala for Machine Learning, Patrick R. Nicolas Style and approach A complete package with all the information necessary to start building useful data engineering and data science solutions straight away. It contains a diverse set of recipes that cover the full spectrum of interesting data analysis tasks and will help you revolutionize your data analysis skills using Scala.
Essentials Of Nursing Research And Data Analysis
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-07-24
Essentials Of Nursing Research And Data Analysis written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Medical categories.
This book guides nursing students through the process of research design, data collection, statistical analysis, and interpretation, enhancing evidence-based practice.
Business Information Systems And Technology 4 0
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Author : Rolf Dornberger
language : en
Publisher: Springer
Release Date : 2018-03-06
Business Information Systems And Technology 4 0 written by Rolf Dornberger and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-06 with Technology & Engineering categories.
This book discusses digitalization trends and their concrete applications in business and societal contexts. It summarizes new findings from research, teaching and management activities comprising digital transformation, e-business, the representation of knowledge, human–computer interaction and business optimization. The trends discussed include artificial intelligence, virtual reality, robotics, blockchain, and many more. Professors and researchers who conduct research and teach at the interface between academia and business present the latest advances in their field. The book adopts the philosophy of applied sciences and combines both rigorous research and practical applications. As such, it addresses the needs of both professors and researchers, who are constantly seeking inspiration, and of managers seeking to tap the potential of the latest trends to take their business to the next level. Readers will find answers to pressing questions that arise in their daily work.
Essential Dramaturgy
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Author : Theresa Lang
language : en
Publisher: Taylor & Francis
Release Date : 2017-02-03
Essential Dramaturgy written by Theresa Lang and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-03 with Performing Arts categories.
Essential Dramaturgy: The Mindset and Skillset provides a concrete way to approach the work of a dramaturg. It explores ways to refine the process of defining, evaluating, and communicating that is essential to effective dramaturgical work. It then looks at how this outlook enhances the practical skills of production and new play dramaturgy. The book explains what a dramaturg does, what the role can be, and how best to refine and teach the skillset and mindset.
Mobile App Development Essentials
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Author : SREEKUMAR V T
language : en
Publisher: SREEKUMAR V T
Release Date : 2025-04-06
Mobile App Development Essentials written by SREEKUMAR V T and has been published by SREEKUMAR V T this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-06 with Antiques & Collectibles categories.
In today's digital age, mobile apps have transformed the way we live, work, and interact. Whether you're a seasoned developer looking to enhance your skills or a beginner eager to dive into the world of mobile app creation, "Mobile App Development Essentials: Tools, Techniques, and Tips" is your comprehensive guide to mastering the art and science of mobile app development. About the Book: Unlock the Full Potential of Mobile App Development: This book is designed to empower you with the knowledge and skills needed to create impactful and successful mobile applications. Regardless of your experience level, you'll find practical insights, real-world examples, and hands-on exercises that will guide you through every step of the app development journey. Comprehensive Coverage: "Mobile App Development Essentials" comprises seven in-depth chapters, each dedicated to a critical aspect of mobile app development. From selecting the right tools and designing user-friendly interfaces to publishing your app and ensuring its security, this book leaves no stone unturned in providing you with the essential tools and techniques. Real-World Guidance: Learn from the experience of seasoned app developers as they share their best practices, strategies, and tips to help you avoid common pitfalls and navigate the challenges of mobile app development. Key Features: Foundations of Mobile App Development: Explore the fundamentals, from choosing development platforms to understanding programming languages. Effective App Design: Learn to create visually appealing and user-friendly interfaces that captivate and engage users. Technical Insights: Dive deep into the technical aspects of coding, debugging, testing, and ensuring optimal performance. Publishing Success: Discover the essential steps to publish your app on major app stores, including the Apple App Store and Google Play Store. Ongoing App Maintenance: Understand the importance of continuous app maintenance and updates to ensure long-term success. Security Best Practices: Learn how to safeguard your app and user data from evolving security threats. App Monetization Strategies: Explore diverse strategies to generate revenue from your app while delivering value to users. Who Should Read This Book: Aspiring Developers: If you're new to app development, this book provides a solid foundation and comprehensive guidance. Experienced Developers: Seasoned professionals will benefit from advanced techniques and best practices to elevate their skills. Entrepreneurs and Product Managers: Gain a deeper understanding of the development process to communicate effectively with your development team. Your Journey Begins Here: Whether you're crafting the next ground-breaking app or a niche solution to a specific problem, "Mobile App Development Essentials" will be your trusted companion.