CMS Made Simple 1.6: Beginner's Guide. Create a fully functional and professional website using CMS Made Simple

Sofia Hauschildt, Ted Kulp (USD)

CMS Made Simple is a an open source content management system that allows rapid website development in a fraction of the normal time, avoiding hours of coding by providing modules and 3rd Party add-ons. With this book in hand you will be able to harness the power of this modular and extendable content management system at your fingertips.This guide for CMS Made Simple is based on practical and working solutions allowing you to understand how this powerful and simple application can support you in your daily work. The workshop helps you create engaging, effective, and easy-to-use CMS websites for businesses, clubs, or organizations.This is a step- by-step case study, aimed at helping you build a complete professional website with CMS Made Simple. You can take a ready-to-use template or implement your own custom design, enrich the website with features like a photo gallery, an e-commerce solution with PayPal checkout, and forms of any complexity or popular JQuery effects and finish it off by optimizing it for search engines. The useful HTML and CSS code snippets are optimized and can be easily adapted for your own projects. Chapter by chapter you will put yourself in the role of web designer, developer, administrator, and business manager, thus learning every aspect needed for building rich websites that are very simple to manage.

LLVM Cookbook. Over 80 engaging recipes that will help you build a compiler frontend, optimizer, and code generator using LLVM

Mayur Pandey, Suyog Sarda

Graph Data Science with Neo4j. Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project

Estelle Scifo

Neo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance.Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You’ll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you’ll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you’ll be able to integrate graph algorithms into your ML pipeline.By the end of this book, you’ll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions.

IoT and Edge Computing for Architects. Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security - Second Edition

Perry Lea

Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. An architectural guide is needed if you want to traverse the spectrum of technologies needed to build a successful IoT system, whether that's a single device or millions of IoT devices. IoT and Edge Computing for Architects, Second Edition encompasses the entire spectrum of IoT solutions, from IoT sensors to the cloud. It examines modern sensor systems, focusing on their power and functionality. It also looks at communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, the book explores IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. It also explains edge computing, routing and gateways, and their role in fog computing, as well as the messaging protocols of MQTT 5.0 and CoAP.With the data now in internet form, you'll get an understanding of cloud and fog architectures, including the OpenFog standards. The book wraps up the analytics portion with the application of statistical analysis, complex event processing, and deep learning models. The book then concludes by providing a holistic view of IoT security, cryptography, and shell security in addition to software-defined perimeters and blockchains.

Ext JS Application Development Blueprints. Develop robust and maintainable projects that exceed client expectations using Ext JS

Abdullah Al Mohammad, Colin Ramsay

Learning Angular. A practical guide to building web applications with modern Angular - Fifth Edition

Aristeidis Bampakos, Bonnie Brennan, Pablo Deeleman

Angular is an extremely fast, cross-platform JavaScript framework loved by millions. Learning Angular is a comprehensive introduction to the framework from an experienced Angular developer and Google Developer Expert. You’ll learn the Angular way of development as you build a real-world app from the ground up.Updated for Angular 19, this fifth edition tackles landmark changes in Angular after the “Angular Renaissance”. It covers app creation with standalone components, Angular Signals, and the new control flow syntax, while acknowledging differences in approach in older Angular code. You’ll also find a brand-new chapter on optimizing performance with SSR and hydration, as well as revamped content on TypeScript.Angular developers of all experience levels will benefit from this book. It is especially useful if you are new to Angular, as it will help you get to grips with the bare bones of the framework.By the end of this book, you'll be able to create Angular applications with TypeScript from scratch and apply best practices in any Angular codebase.

Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts

Dmitry Anoshin, JC Gillet, Fabian Peri, Radhika Biyani, ...

The Tableau Desktop Certified Associate exam measures your knowledge of Tableau Desktop and your ability to work with data and data visualization techniques. This book will help you to become well-versed in Tableau software and use its business intelligence (BI) features to solve BI and analytics challenges.With the help of this book, you'll explore the authors' success stories and their experience with Tableau. You'll start by understanding the importance of Tableau certification and the different certification exams, along with covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. The book builds on your knowledge of advanced Tableau topics such as table calculations for solving problems. You'll learn to effectively visualize geographic data using vector maps. Later, you'll discover the analytics capabilities of Tableau by learning how to use features such as forecasting. Finally, you'll understand how to build and customize dashboards, while ensuring they convey information effectively. Every chapter has examples and tests to reinforce your learning, along with mock tests in the last section.By the end of this book, you'll be able to efficiently prepare for the certification exam with the help of mock tests, detailed explanations, and expert advice from the authors.

Implementing Identity Management on AWS. A real-world guide to solving customer and workforce IAM challenges in your AWS cloud environments

Jon Lehtinen, Steve "Hutch" Hutchinson

AWS identity management offers a powerful yet complex array of native capabilities and connections to existing enterprise identity systems for administrative and application identity use cases. This book breaks down the complexities involved by adopting a use-case-driven approach that helps identity and cloud engineers understand how to use the right mix of native AWS capabilities and external IAM components to achieve the business and security outcomes they want.You will begin by learning about the IAM toolsets and paradigms within AWS. This will allow you to determine how to best leverage them for administrative control, extending workforce identities to the cloud, and using IAM toolsets and paradigms on an app deployed on AWS. Next, the book demonstrates how to extend your on-premise administrative IAM capabilities to the AWS backplane, as well as how to make your workforce identities available for AWS-deployed applications. In the concluding chapters, you’ll learn how to use the native identity services with applications deployed on AWS.By the end of this IAM Amazon Web Services book, you will be able to build enterprise-class solutions for administrative and application identity using AWS IAM tools and external identity systems.