PrestaShop 1.3 Beginner's Guide. Build and customize your online store with this speedy, lightweight e-commerce solution

John Horton, Igor Schlumberger

PrestaShop is a hidden gem. There are many much more widely known online shopping cart solutions that have nothing like the features, potential, and ease of use that this open source, completely free-to-use, system has. But until now there has been no information available on how to make the most of it. This book takes a step-by-step approach to help you set up your own e-commerce store and maximize its potential. Even if you are totally new to e-commerce and PrestaShop, you can have your own functioning e-commerce store quickly and with tiny expenditure. Imagine the feeling when you get that glorious e-mail saying that you have your first paying customer.This practical guide follows the order of developing an active business. Packed with easy-to-follow steps with loads of screenshots and clear explanations, it follows a step-by-step approach to set up a PrestaShop e-commerce store from the very beginning through finding a web host, setting up your PrestaShop store, accepting money from customers, and planning for the future of your business.The first few chapters are a lightening, but thorough, illustration of how to get your shop online, stocked up, and looking smart and unique, including some really cool and really simple product features to show off your wares in style – very quickly. The later chapters are quite diverse and cover some exciting stuff such as newsletters, loyalty schemes, alternative revenue streams, statistics and analytics. You will also learn about security, disaster recovery, payment handling, currencies, taxes, shipping, and more. Towards the end, the chapters cover final preparations before going live, handling orders in PrestaShop, and how to promote your store and get more customers. Once the money starts to flow, the book looks at the future of e-commerce and your PrestaShop business. Then it discusses how to get to the top of your niche and stay there. And then the big secret: to use the knowledge you have gained to turn a single PrestaShop into a thriving e-commerce empire.The Appendix covers a number of worthwhile topics such as a handy PrestaShop control panel reference and various web resources for PrestaShop.

R: Predictive Analysis. Master the art of predictive modeling

Eric Mayor, Tony Fischetti, Rui Miguel Forte

Predictive analytics is a field that uses data to build models that predict a future outcome of interest. It can be applied to a range of business strategies and has been a key player in search advertising and recommendation engines.The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. This Learning Path will provide you with all the steps you need to master the art of predictive modeling with R. We start with an introduction to data analysis with R, and then gradually you’ll get your feet wet with predictive modeling. You will get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. You will be able to solve the difficulties relating to performing data analysis in practice and find solutions to working with “messy data”, large data, communicating results, and facilitating reproducibility. You will then perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. By the end of this Learning Path, you will have explored and tested the most popular modeling techniques in use on real-world data sets and mastered a diverse range of techniques in predictive analytics.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:• Data Analysis with R, Tony Fischetti• Learning Predictive Analytics with R, Eric Mayor• Mastering Predictive Analytics with R, Rui Miguel Forte

Linear Regression With Python. A Tutorial Introduction to the Mathematics of Regression Analysis

James V Stone

This book offers a detailed yet approachable introduction to linear regression, blending mathematical theory with Python-based practical applications. Beginning with fundamentals, it explains the best-fitting line, regression and causation, and statistical measures like variance, correlation, and the coefficient of determination. Clear examples and Python code ensure readers can connect theory to implementation.As the journey continues, readers explore statistical significance through concepts like t-tests, z-tests, and p-values, understanding how to assess slopes, intercepts, and overall model fit. Advanced chapters cover multivariate regression, introducing matrix formulations, the best-fitting plane, and methods to handle multiple variables. Topics such as Bayesian regression, nonlinear models, and weighted regression are explored in depth, with step-by-step coding guides for hands-on practice.The final sections tie together these techniques with maximum likelihood estimation and practical summaries. Appendices provide resources such as matrix tutorials, key equations, and mathematical symbols. Designed for both beginners and professionals, this book ensures a structured learning experience. Basic mathematical knowledge or foundation is recommended.

Microsoft Exchange Server PowerShell Cookbook. Over 120 recipes to help you manage and administrate Exchange Server 2013 Service Pack 1 with PowerShell 5

Mike Pfeiffer, Jonas Andersson

Learning ArcGIS Pro. Create, analyze, maintain, and share 2D and 3D maps with the powerful tools of ArcGIS Pro

Stefano Iacovella, Tripp Corbin

End-to-End Web Testing with Cypress. Explore techniques for automated frontend web testing with Cypress and JavaScript

Waweru Mwaura

Cypress is a modern test automation framework for web-based frontend apps. Learning Cypress will help you overcome the shortcomings of conventional testing solutions such as dependency graph problems, the steep learning curve in setting up end-to-end testing packages, and difficulties in writing explicit time waits for your tests.In End-to-End Web Testing with Cypress, you’ll learn how to use different Cypress tools, including time travel, snapshots, errors, and console output, to write fail-safe and non-flaky tests. You’ll discover techniques for performing test-driven development (TDD) with Cypress and write cross-browser tests for your web applications. As you advance, you’ll implement tests for a sample application and work with a variety of tools and features within the Cypress ecosystem. Finally, this Cypress book will help you grasp advanced testing concepts such as visual testing and networking.By the end of this book, you’ll have the skills you need to be able to set up Cypress for any web app and understand how to use it to its full potential.

Mastering ArcGIS Server Development with JavaScript. Transform maps and raw data into full-fledged web mapping applications using the power of the ArcGIS JavaScript API and JavaScript libraries

Raymond Kenneth Doman

The Kubernetes Bible. The definitive guide to deploying and managing Kubernetes across major cloud platforms

Nassim Kebbani, Piotr Tylenda, Russ McKendrick

With its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications.This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices.By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms.