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Podcasts
PLCs for Beginners. An introductory guide to building robust PLC programs with Structured Text
With the rise of smart factories and advanced technology, the demand for PLC programmers with expertise beyond ladder logic is surging. Written by M.T. White, a seasoned DevOps engineer and adjunct CIS instructor, this guide offers insights from the author’s extensive experience in PLC and HMI programming across industries. This book introduces a fresh approach to PLC programming, preparing you for future automation challenges through computer science and text-based programming.Starting with the basic components of PLCs and their integration with other modules, this book gives you a clear understanding of system functionality and helps you master PLC program execution by learning about flow and essential components for effective programming. You'll understand program design with pseudocode and flowcharts, vital for planning programs, and cover Boolean logic intricacies, harnessing logical functions and truth tables for precise control statements. The book gives you a comprehensive grasp of Structured Text, its syntax and features crucial for efficient programming. The book also focuses on advanced topics like cybersecurity in PLC systems and leveraging generative AI (GenAI), such as ChatGPT, to enhance productivity.By the end of this book, you’ll be able to design real-world projects using pseudocode and flowcharts, and implement those designs in Structured Text.
Whether you are an experienced developer or a novice, learning to work with Version Control Systems is a must in the software development world. Git is the most popular tool for that purpose, and GitHub was built around it, leveraging its powers by bringing it to the web.Starting with the basics of creating a repository, you will then learn how to manage the issue tracker, the place where discussions about your project take place. Continuing our journey, we will explore how to use the wiki and write rich documentation that will accompany your project. You will also master organization/team management and some of the features that made GitHub so well known, including pull requests. Next, we will focus on creating simple web pages hosted on GitHub and lastly, we will explore the settings that are configurable for a user and a repository.
Claudio Stamile, Aldo Marzullo, Enrico Deusebio
Graph Machine Learning will introduce you to a set of tools used for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks. The first chapters will introduce you to graph theory and graph machine learning, as well as the scope of their potential use. You’ll then learn all you need to know about the main machine learning models for graph representation learning: their purpose, how they work, and how they can be implemented in a wide range of supervised and unsupervised learning applications. You'll build a complete machine learning pipeline, including data processing, model training, and prediction in order to exploit the full potential of graph data. After covering the basics, you’ll be taken through real-world scenarios such as extracting data from social networks, text analytics, and natural language processing (NLP) using graphs and financial transaction systems on graphs. You’ll also learn how to build and scale out data-driven applications for graph analytics to store, query, and process network information, and explore the latest trends on graphs. By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications.
Adobe Photoshop Elements is a raster graphics editor for entry-level photographers, image editors, and hobbyists. Though it shares many of Photoshop CC's high-end features, it also boasts a significant number of simple to use, yet highly effective tools not found at the professional level.This book presents the complexities of image editing in easy-to-follow, bite-sized chunks, allowing you to quickly recognize the editing challenge, and helps you to identify the tools and techniques required to make improvements, and to apply those techniques quickly and efficiently. You will start by learning how to import, organize, manage, edit, and use your pictures in a format that's designed for creative photography projects. Going further, you'll discover how to fix a wide range of photographic problems based on the book's extensive repertoire of commonly applied solutions. You'll be escorted through a wide range of common processes that include applying artistic effects to creative projects, custom image makeovers, processing images for social media, and other file export methods.Towards the end of the book, you will understand what the most important tools and features actually do in Photoshop Elements, answering the often-asked question; What, when, and where would you use these features in a precise and practical way.
Michael Bironneau, Toby Coleman
Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go.The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced.The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum.The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring.At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones.
Prasenjit Sarkar, Farhan Nadeem, Prasenjit Sarkar
Cisco Unified Computing System(UCS) provides unique features for the contemporary data centres. Cisco UCS is a unified solution that consolidates computing, network and storage connectivity components along-with centralized management. Cisco UCS reduces TCO and improves scalability and flexibility. Stateless computing blade server's design simplifies the troubleshooting, and Cisco-patented extended memory technology provides higher virtualized servers consolidation results.A hands-on guide to take you through deployment in Cisco UCS. With real-world examples for configuring and deploying Cisco UCS components, this book will prepare you for the practical deployments of Cisco UCS data centre solutions.If you want to learn and enhance your hands-on skills with Cisco UCS solutions, this book is certainly for you.Starting with the description of Cisco UCS equipment options, this hands-on guide then introduces Cisco UCS Emulator which is an excellent resource to practically learn Cisco UCS components' deployment. You will also be introduced to all areas of UCS solutions with practical configuration examples.You will also discover the Cisco UCS Manager, which is the centralized management interface for Cisco UCS. Once you get to know UCS Manager, the book dives deeper into configuring LAN, SAN, identity pools, resource pools, and service profiles for the servers. The book also presents other administration topics including Backup, Restore, user's roles, and high availability cluster configuration. Finally, you will learn about virtualized networking, 3rd party integration tools and testing failure scenarios.You will learn everything you need to know for the rapidly growing Cisco UCS deployments in the real-world.
Alfonso V. Romero, Brian Fitzpatrick, Alfonso Vidal Romero
Apache Roller enables you to build a fully-featured, multi-user blog server apt for all kinds of blogging sites. It is an ideal tool to create your own blogging network with unlimited users and blogs, forums, photo galleries, and more! While it is exciting to have a list of interesting features it can offer you, it might be a little difficult to get started with it by your self.This book will teach you how to get started with Apache Roller and make the most of all its features using step-by-step, detailed instructions. You will learn how to establish your internet presence with an Apache Roller blog and use the latest web tools to enhance your posts and attract visitors. You will also learn how to promote your blog on popular social bookmarking services and customize it to suit your need.This hands-on and practical book introduces you to Apache Roller. Starting off with the configuration and installation of your own blog, you'll then quickly learn how to add interesting content to your blog with the help of plenty of examples. You'll also learn how to change your blog's visual appearance with the help of Roller themes and templates and how to create a community of blogs for you and your colleagues or friends in your Apache Roller blog server. The book also looks at ways you can manage your community, and keep your site safe and secure, ensuring that it is a spam-free, enjoyable community for your users.