Python: Advanced Predictive Analytics. Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

Ashish Kumar, Joseph Babcock

Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python.You'll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling.Finally, you will learn best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. The course provides you with highly practical content from the following Packt books:1. Learning Predictive Analytics with Python2. Mastering Predictive Analytics with Python

Puppet: Mastering Infrastructure Automation

Jaime Soriano Pastor

Puppet is a configuration management tool that allows you to automate all your IT configurations, giving you control. It was written for and by system administrators to manage large numbers of systems efficiently and prevent configuration drifts. Puppet gives you control of what you do to each node, when you do it, and how you do it.This Learning Path will take you from the basics of Puppet to extending it and then mastering it. We will start off with a primer on Puppet, its installation and get a sneak peek under its hood. We will then move on to designing and deploying your Puppet architecture, learning best practices for writing reusable and maintainable code, and executing, testing, and deploying Puppet across your systems. Finally, we will deal with problems of scale and exceptions in your code, automate workflows, and support multiple developers working simultaneously.This course is based on the following books: 1)Puppet 4 Essentials - Second Edition 2)Extending Puppet - Second Edition 3)Mastering Puppet - Second Edition

Modernizing Drupal 10 Theme Development. Build fast, responsive Drupal websites with custom theme design to deliver a rich user experience

Luca Lusso

Working with themes in Drupal can be challenging, given the number of layers and APIs involved. Modernizing Drupal 10 Theme Development helps you explore the new Drupal 10’s theme layer in depth.With a fully implemented Drupal website on the one hand and a set of Storybook components on the other, you’ll begin by learning to create a theme from scratch to match the desired final layout. Once you’ve set up a local environment, you’ll get familiarized with design systems and learn how to map them to the structures of a Drupal website. Next, you’ll bootstrap your new theme and optimize Drupal’s productivity using tools such as webpack, Tailwind CSS, and Browsersync. As you advance, you’ll delve into all the theme layers in a step-by-step way, starting from how Drupal builds an HTML page to where the template files are and how to add custom CSS and JavaScript. You’ll also discover how to leverage all the Drupal APIs to implement robust and maintainable themes without reinventing the wheel, but by following best practices and methodologies. Toward the end, you’ll find out how to build a fully decoupled website using json:api and Next.js.By the end of this book, you’ll be able to confidently build custom Drupal themes to deliver state-of-the-art websites and keep ahead of the competition in the modern frontend world.

Salesforce for Beginners. A step-by-step guide to optimize sales and marketing and automate business processes with the Salesforce platform - Second Edition

Sharif Shaalan, Timothy Royer

The second edition of Salesforce for Beginners provides you with a holistic introduction to the Salesforce platform. Whether you need help with the lead generation process, Salesforce user management and data security, or automating tasks with Salesforce Flow, this book is for you.Throughout this new edition you will find real-world business use cases to demonstrate concepts, screenshots of the latest UI displayed for screen navigation, and exercises at the end of every chapter to test your newfound knowledge.Working with the world’s leading CRM software, you will learn how to create activities, manage leads, develop your prospects and sales pipeline using opportunities and accounts, and understand how you can enhance marketing activities using campaigns. You will be able to take your administration skills to the next level as you approach real-world user management topics such as ownership skew. You will learn about data security on the Salesforce platform, with an introduction to the role hierarchy, system and user permissions, and much more.In this new edition you'll get to explore the popular automation tool Salesforce Flow. You’ll learn about the different flow types to employ, how to construct your first flow, and how to extensively test your flow. This will allow you to come away from reading this book with a real, functional flow for your business processes.

Practical Internet of Things Security. Beat IoT security threats by strengthening your security strategy and posture against IoT vulnerabilities

Drew Van Duren, Brian Russell

With the advent of Internet of Things (IoT), businesses will be faced with defending against new types of threats. The business ecosystem now includes cloud computing infrastructure, mobile and fixed endpoints that open up new attack surfaces, a desire to share information with many stakeholders and a need to take action quickly based on large quantities of collected data. . It therefore becomes critical to ensure that cyber security threats are contained to a minimum when implementing new IoT services and solutions. . The interconnectivity of people, devices, and companies raises stakes to a new level as computing and action become even more mobile, everything becomes connected to the cloud, and infrastructure is strained to securely manage the billions of devices that will connect us all to the IoT. This book shows you how to implement cyber-security solutions, IoT design best practices and risk mitigation methodologies to address device and infrastructure threats to IoT solutions.This book will take readers on a journey that begins with understanding the IoT and how it can be applied in various industries, goes on to describe the security challenges associated with the IoT, and then provides a set of guidelines to architect and deploy a secure IoT in your Enterprise. The book will showcase how the IoT is implemented in early-adopting industries and describe how lessons can be learned and shared across diverse industries to support a secure IoT.

Tizen Cookbook. Over 100 hands-on recipes to develop, deploy, and debug applications using the exciting Tizen platform

Leon Anavi

Building Websites with Microsoft Content Management Server. A fast-paced and practical tutorial guide for C# developers starting out with MCMS 2002

Stefan Gossner, Lim Mei Ying, Joel Ward

Microsoft Content Management Server 2002 is a dynamic web publishing system with which you can build websites quickly and cost-efficiently. MCMS provides the administration, authoring, and data management functionality, and you provide the website interface, logic, and workflow. Once your website is up and running, your content contributors can add and edit content on their own, without the need to work with developers or the IT department. First time developers of Microsoft Content Management Server 2002 face a relatively steep learning curve. Not only are they expected to be conversant in the Microsoft .NET Framework, they are also required to be familiar with the concepts of MCMS 2002. Many beginners to MCMS start out by looking at the example site that ships with the product; tweaking it, dissecting it and turning it inside out using the obscure code comments as markers. However, when it comes to starting their own website from scratch, many are baffled ? where do they begin? This book exists to answer that question; teaching the essential concepts of MCMS 2002 in a clear, straightforward and practical manner. Containing answers to some of the most asked questions in developer newsgroups, this book is a treasure trove of tricks and tips for solving the problems faced by MCMS developers. This is a unique resource focused exclusively on the needs of developers using MCMS. It doesn?t waste time and pages on user or administrator level information that is well covered in other documentation. It?s a distillation of practical experience that developers need to get results, fast. The authors carefully structured example project complements and extends the knowledge gained from an initial look at the examples that ship with MCMS.

Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world applications

Brindha Priyadarshini Jeyaraman, Ludvig Renbo Olsen, Monicah Wambugu

With huge amounts of data being generated every moment, businesses need applications that apply complex mathematical calculations to data repeatedly and at speed. With machine learning techniques and R, you can easily develop these kinds of applications in an efficient way.Practical Machine Learning with R begins by helping you grasp the basics of machine learning methods, while also highlighting how and why they work. You will understand how to get these algorithms to work in practice, rather than focusing on mathematical derivations. As you progress from one chapter to another, you will gain hands-on experience of building a machine learning solution in R. Next, using R packages such as rpart, random forest, and multiple imputation by chained equations (MICE), you will learn to implement algorithms including neural net classifier, decision trees, and linear and non-linear regression. As you progress through the book, you’ll delve into various machine learning techniques for both supervised and unsupervised learning approaches. In addition to this, you’ll gain insights into partitioning the datasets and mechanisms to evaluate the results from each model and be able to compare them. By the end of this book, you will have gained expertise in solving your business problems, starting by forming a good problem statement, selecting the most appropriate model to solve your problem, and then ensuring that you do not overtrain it.