Moodle 2.0 for Business Beginner's Guide. Implement Moodle in your business to streamline your interview, training, and internal communication processes

Jeanne R Cole, Jason Cole, Jeanne Cole, Gavin Henrick, ...

Many people will recognize Moodle as a Virtual Learning Environment that can be used in schools to teach lessons and organize student information. Fewer people will realize that Moodle can be used in businesses to dispense training, share important documents, and encourage teamwork.Moodle 2.0 for Business Beginner's Guide will show you how to set up Moodle in your corporation. By introducing a system within your company that will allow for a centralized, accessible repository of knowledge, staff training will become a lot more streamlined, and the retention of skills will improve, leading to huge productivity benefits.An easy-to-access, user-friendly system is crucial to keep communication flowing in any successful business. By putting your H.R. documents, newsletters, discussions, and training documents all in one place, which is accessible from the office or from home, you are giving your employees all the information that they need to be productive and become integrated members of your company. This book will show you how to get your important business documents online, as well as the recruitment and training processes. You will learn how to move any existing processes to Moodle, as well as set up new ones that will have you wondering what you did before Moodle came along!

Building RESTful Python Web Services. Click here to enter text

Gaston C. Hillar

Python is the language of choice for millions of developers worldwide, due to its gentle learning curve as well as its vast applications in day-to-day programming. It serves the purpose of building great web services in the RESTful architecture. This book will show you the best tools you can use to build your own web services.Learn how to develop RESTful APIs using the popular Python frameworks and all the necessary stacks with Python, Django, Flask, and Tornado, combined with related libraries and tools. We will dive deep into each of these frameworks to build various web services, and will provide use cases and best practices on when to use a particular framework to get the best results. We will show you everything required to successfully develop RESTful APIs with the four frameworks such as request handling, URL mapping, serialization, validation, authentication, authorization, versioning, ORMs, databases, custom code for models and views, and asynchronous callbacks. At the end of each framework, we will add authentication and security to the RESTful APIs and prepare tests for it.By the end of the book, you will have a deep understanding of the stacks needed to build RESTful web services.

Causal Inference in R. Decipher complex relationships with advanced R techniques for data-driven decision-making

Subhajit Das

Determining causality in data is difficult due to confounding factors. Written by an applied scientist specializing in causal inference with over a decade of experience, Causal Inference in R provides the tools and methods you need to accurately establish causal relationships, improving data-driven decision-making.This book helps you get to grips with foundational concepts, offering a clear understanding of causal models and their relevance in data analysis. You’ll progress through chapters that blend theory with hands-on examples, illustrating how to apply advanced statistical methods to real-world scenarios. You’ll discover techniques for establishing causality, from classic approaches to contemporary methods, such as propensity score matching and instrumental variables. Each chapter is enriched with detailed case studies and R code snippets, enabling you to implement concepts immediately. Beyond technical skills, this book also emphasizes critical thinking in data analysis to empower you to make informed, data-driven decisions. The chapters enable you to harness the power of causal inference in R to uncover deeper insights from data.By the end of this book, you’ll be able to confidently establish causal relationships and make data-driven decisions with precision.

Building Secure Automotive IoT Applications. Developing robust IoT solutions for next-gen automotive software

Dr. Dennis Kengo Oka, Sharanukumar Nadahalli, Jeff Yost, Ram Prasad Bojanki, ...

Software-defined vehicles, equipped with extensive computing power and connectivity, are unlocking new possibilities in automotive Internet of Things (IoT) applications, creating a critical need for skilled software engineers to lead innovation in the automotive sector. This book equips you to thrive in this industry by learning automotive IoT software development.The book starts by examining the current trends in automotive technology, highlighting IoT applications and key vehicle architectures, including the AUTOSAR platform. It delves into both classic and service-oriented vehicle diagnostics before covering robust security practices for automotive IoT development. You’ll learn how to adhere to industry standards such as ISO/SAE 21434, ASPICE for cybersecurity, and DevSecOps principles, with practical guidance on establishing a secure software development platform. Advancing to the system design of an automotive IoT application, you’ll be guided through the development of a remote vehicle diagnostics application and progress through chapters step by step, addressing the critical aspects of deploying and maintaining IoT applications in production environments.By the end of the book, you’ll be ready to integrate all the concepts you’ve learned to form a comprehensive framework of processes and best practices for embedded automotive development.

Learning VirtualDub: The Complete Guide to Capturing, Processing and Encoding Digital Video. The complete guide to capturing, processing and encoding digital video

John Buechler, Georgios Diamantopoulos, Sohail Salehi, Avery Lee

VirtualDub is one of the most popular video processing applications for Windows. As an open source application, it's free, and is constantly updated and expanded by an active community of developers and experts. VirtualDub is particularly popular for capturing video from analogue sources such as video tape, cleaning up the image and compressing it ready for distribution over the Internet. This book provides a rapid and easy to use tutorial to the basic features of VirtualDub to get you up and running quickly. It explains how to capture great quality video from various sources, use filters to clean up the captured image and add special effects. The book also shows how to use VirtualDub to cut and paste video to remove or insert sequences, including removing ad breaks or trailers. It goes on to cover the art of effective encoding and compression, so you end up with great quality videos that won't hog your bandwidth forever. VirtualDub is the fastest and most effective way to capture, process and encode video on your PC. This book gets you started fast, and goes on to give you full control of all the features of this legendary tool.

Phalcon Cookbook. High Performance PHP Framework

Serghei Iakovlev, David Schissler

Phalcon is a high-performance PHP framework delivered as a PHP extension. This provides new opportunities for speed and application design, which until recently have been unrealized in the PHP ecosystem.Packed with simple learning exercises, technology prototypes, and real-world usable code, this book will guide you from the beginner and setup stage all the way to advanced usage. You will learn how to avoid niche pitfalls, how to use the command-line developer tools, how to integrate with new web standards, as well as how to set up and customize the MVC application structure. You will see how Phalcon can be used to quickly set up a single file web application as well as a complex multi-module application suitable for long-term projects. Some of the recipes focus on abstract concepts that are vital to get a deep comprehension of Phalcon and others are designed as a vehicle to deliver real-world usable classes and code snippets to solve advanced problems. You’ll start out with basic setup and application structure and then move onto the Phalcon MVC and routing implementation, the power of the ORM and Phalcon Query Language, and Phalcon’s own Volt templating system. Finally, you will move on to caching, security, and optimization.

Data Visualization: a successful design process

Andy Kirk, Andy Kirk

Do you want to create more attractive charts? Or do you have huge data sets and need to unearth the key insights in a visual manner? Data visualization is the representation and presentation of data, using proven design techniques to bring alive the patterns, stories and key insights locked away.Data Visualization: a Successful Design Process explores the unique fusion of art and science that is data visualization; a discipline for which instinct alone is insufficient for you to succeed in enabling audiences to discover key trends, insights and discoveries from your data. This book will equip you with the key techniques required to overcome contemporary data visualization challenges. You'll discover a proven design methodology that helps you develop invaluable knowledge and practical capabilities.You'll never again settle for a default Excel chart or resort to fancy-looking graphs. You will be able to work from the starting point of acquiring, preparing and familiarizing with your data, right through to concept design. Choose your killer visual representation to engage and inform your audience.Data Visualization: a Successful Design Process will inspire you to relish any visualization project with greater confidence and bullish know-how; turning challenges into exciting design opportunities.

Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Ben Auffarth

The Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models. This book aims to deepen your understanding of time series by providing a comprehensive overview of popular Python time-series packages and help you build better predictive systems.Machine Learning for Time-Series with Python starts by re-introducing the basics of time series and then builds your understanding of traditional autoregressive models as well as modern non-parametric models. By observing practical examples and the theory behind them, you will become confident with loading time-series datasets from any source, deep learning models like recurrent neural networks and causal convolutional network models, and gradient boosting with feature engineering.This book will also guide you in matching the right model to the right problem by explaining the theory behind several useful models. You’ll also have a look at real-world case studies covering weather, traffic, biking, and stock market data.By the end of this book, you should feel at home with effectively analyzing and applying machine learning methods to time-series.