The Ultimate Studio One Pro 7 Book. A step-by-step guide to recording, editing, mixing, and mastering professional-quality music - Second Edition

Doruk Somunkiran

Written by a seasoned composer, music producer, and instructor with over 20 years of experience in the music industry, this comprehensive guide transforms Studio One’s powerful digital audio workstation (DAW) into your creative canvas. Designed for both musicians looking to start producing their own music and audio professionals integrating Studio One into their workflow, this hands-on manual takes you step-by-step through every stage of the production process.You’ll learn how to set up Studio One for peak performance, create projects, record high-quality audio, and build MIDI arrangements with virtual instruments. The book covers advanced editing techniques, including Melodyne, Audio Bend, and MIDI modifiers, to refine your songs with precision. You’ll master mixing with Studio One’s built-in effects and plugins, apply professional audio mastering in the Project window, and explore immersive audio tools that bring your music to life in multichannel environments for films, gaming, and beyond.Throughout this book, you’ll develop not just technical proficiency but a personalized, efficient music production workflow that serves your creative vision. By the final page, you'll have everything you need to turn musical ideas into polished, release-ready songs using only the Studio One software.

Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark

Dr. Argenis Leon, Luis Aguirre

Optimus is a Python library that works as a unified API for data cleaning, processing, and merging data. It can be used for handling small and big data on your local laptop or on remote clusters using CPUs or GPUs.The book begins by covering the internals of Optimus and how it works in tandem with the existing technologies to serve your data processing needs. You'll then learn how to use Optimus for loading and saving data from text data formats such as CSV and JSON files, exploring binary files such as Excel, and for columnar data processing with Parquet, Avro, and OCR. Next, you'll get to grips with the profiler and its data types - a unique feature of Optimus Dataframe that assists with data quality. You'll see how to use the plots available in Optimus such as histogram, frequency charts, and scatter and box plots, and understand how Optimus lets you connect to libraries such as Plotly and Altair. You'll also delve into advanced applications such as feature engineering, machine learning, cross-validation, and natural language processing functions and explore the advancements in Optimus. Finally, you'll learn how to create data cleaning and transformation functions and add a hypothetical new data processing engine with Optimus.By the end of this book, you'll be able to improve your data science workflow with Optimus easily.

Microservices with Spring Boot 3 and Spring Cloud. Build resilient and scalable microservices using Spring Cloud, Istio, and Kubernetes - Third Edition

Magnus Larsson

Looking to build and deploy microservices but not sure where to start? Check out Microservices with Spring Boot 3 and Spring Cloud, Third Edition.With a practical approach, you'll begin with simple microservices and progress to complex distributed applications. Learn essential functionality and deploy microservices using Kubernetes and Istio.This book covers Java 17, Spring Boot 3, and Spring Cloud 2022. Java EE packages are replaced with the latest Jakarta EE packages. Code examples are updated and deprecated APIs have been replaced, providing the most up to date information. Gain knowledge of Spring's AOT module, observability, distributed tracing, and Helm 3 for Kubernetes packaging.Start with Docker Compose to run microservices with databases and messaging services. Progress to deploying microservices on Kubernetes with Istio. Explore persistence, resilience, reactive microservices, and API documentation with OpenAPI. Learn service discovery with Netflix Eureka, edge servers with Spring Cloud Gateway, and monitoring with Prometheus, Grafana, and the EFK stack.By the end, you'll build scalable microservices using Spring Boot and Spring Cloud.

Android Wearable Programming. Expand on your Android development capabilities by building applications for Android Wear

Steven F. Daniel

Data Visualization with D3 and AngularJS. Build dynamic and interactive visualizations from real-world data with D3 on AngularJS

Christoph Körner

Mastering Symfony. Orchestrate the designing, development, testing, and deployment of web applications with Symfony

Sebastien Armand, Sohail Salehi

In this book, you will learn some lesser known aspects of development with Symfony, and you will see how to use Symfony as a framework to create reliable and effective applications. You might have developed some impressive PHP libraries in other projects, but what is the point when your library is tied to one particular project? With Symfony, you can turn your code into a service and reuse it in other projects.This book starts with Symfony concepts such as bundles, routing, twig, doctrine, and more, taking you through the request/response life cycle. You will then proceed to set up development, test, and deployment environments in AWS. Then you will create reliable projects using Behat and Mink, and design business logic, cover authentication, and authorization steps in a security checking process. You will be walked through concepts such as DependencyInjection, service containers, and services, and go through steps to create customized commands for Symfony's console. Finally, the book covers performance optimization and the use of Varnish and Memcached in our project, and you are treated with the creation of database agnostic bundles and best practices.

Practical Artificial Intelligence and Blockchain. A guide to converging blockchain and AI to build smart applications for new economies

Ganesh Prasad Kumble, Anantha Krishnan

AI and blockchain are two emerging technologies catalyzing the pace of enterprise innovation. With this book, you’ll understand both technologies and converge them to solve real-world challenges.This AI blockchain book is divided into three sections. The first section covers the fundamentals of blockchain, AI, and affiliated technologies, where you’ll learn to differentiate between the various implementations of blockchains and AI with the help of examples. The second section takes you through domain-specific applications of AI and blockchain. You’ll understand the basics of decentralized databases and file systems and connect the dots between AI and blockchain before exploring products and solutions that use them together. You’ll then discover applications of AI techniques in crypto trading. In the third section, you’ll be introduced to the DIApp design pattern and compare it with the DApp design pattern. The book also highlights unique aspects of SDLC (software development lifecycle) when building a DIApp, shows you how to implement a sample contact tracing application, and delves into the future of AI with blockchain.By the end of this book, you’ll have developed the skills you need to converge AI and blockchain technologies to build smart solutions using the DIApp design pattern.

Algorithms and Data Structures with Python. A comprehensive guide to data structures & algorithms via an interactive learning experience

Cuantum Technologies LLC

Begin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development.Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges.The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence.