Data science is the process of representing models that fit data. Its goal is to predict future output based on past observations of inputs. In data science, one collects information and interprets it to make decisions. This open book contains two parts, the first is designed to be used in an introductory programming course for students looking to learn Python, without having any prior e

This practical guide bridges the core concepts of Digital Signal Processing (DSP) and modern digital communications. It focuses on the implementation of these principles using open-source tools like Python, Octave, and GNU Radio, alongside low-cost hardware platforms (USRP, DVB-T dongles, HackRF). The book takes a hands-on, code-first approach to building modern systems, such as software

This free book explores the fundamentals of computer music and functional programming through the Haskell programming language. Functional programming is typically considered difficult to learn. This introduction in the context of creating music will allow students and professionals with a musical inclination to leverage their experience to help understand concepts that might be intimida

Modern appliances are complex machines with processors, operating systems, and application software. While there are books that will tell you how to run Linux on embedded hardware, and books on how to build a Linux application, Linux Appliance Design is the first book to demonstrate how to merge the two and create a Linux appliance. You'll see for yourself why Linux is the embedded opera

This book provides implementations of common and uncommon algorithms in pseudocode which is language independent and provides for easy porting to most imperative programming languages. It is not a definitive book on the theory of data structures and algorithms. For the most part this book presents implementations devised by the authors themselves based on the concepts by which the respec

The audience for this guide is mainly developers, development leads, and architects who are interested in building modern web applications using Microsoft technologies and services in the cloud. A secondary audience is technical decision makers who are already familiar ASP.NET or Azure and are looking for information on whether it makes sense to upgrade to ASP.NET Core for new or existin

XcalableMP is a directive-based parallel programming language based on Fortran and C, supporting a Partitioned Global Address Space (PGAS) model for distributed memory parallel systems. This open book presents XcalableMP language from its programming model and basic concept to the experience and performance of applications described in XcalableMP.　 XcalableMP was taken as a parallel pr

Podman in Action shows you how to deploy containerized applications on Linux, Windows, and MacOS systems using Podman. Written by Daniel Walsh, who leads the Red Hat Podman team, this book teaches you how to securely manage the entire application lifecycle without human intervention. You'll quickly get to grips with Podman's unique advantages over Docker, and learn how easy it is to migr

This book is designed to introduce you to using containers and Kubernetes for full-stack development. You'll learn how to develop a full-stack application using Ruby on Rails and PostgreSQL with Sidekiq, and how to manage them all - first with Docker, then with Docker Compose, and finally with Kubernetes. The topics that it covers include how to: - Get started developing an application a

This book is designed as an introduction to containers and Kubernetes by way of Node.js. Containers are the basis for distributed, repeatable workflows with orchestrators such as Kubernetes, and they allow developers and operators to develop applications consistently across environments and deploy in a repeatable and predictable fashion. The examples in this book focus on Node.js, a Java