Publisher: K-i-s-publishing
Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second Edition
Thomas Urban
Cacti is a performance measurement tool that provides easy methods and functions for gathering and graphing system data. You can use Cacti to develop a robust event management system that can alert on just about anything you would like it to. But to do that, you need to gain a solid understanding of the basics of Cacti, its plugin architecture, and automation concepts.Cacti Beginner's Guide will introduce you to the wide variety of features of Cacti and will guide you on how to use them for maximum effectiveness. Advanced topics such as the plugin architecture and Cacti automation using the command-line interface will help you build a professional performance measurement system. Designed as a beginner's guide, the book starts off with the basics of installing and using Cacti, and also covers the advanced topics that will show you how to customize and extend the core Cacti functionalities. The book offers essential tutorials for creating advanced graphs and using plugins to create enterprise-class reports to show your customers and colleagues. From data templates to input methods and plugin installation to creating your own customized plugins, this book provides you with a rich selection of step-by-step instructions to reach your goals. It covers all you need to know to implement professional performance measurement techniques with Cacti and ways to fully customize Cacti to fit your needs. You will also learn how to migrate Cacti to new servers. Lastly you will also be introduced to the latest feature of building a scalable remote poller environment. By the end of the book, you will be able to implement and extend Cacti to monitor, display, and report the performance of your network exactly the way you want.
Caffe2 Quick Start Guide. Modular and scalable deep learning made easy
Ashwin Nanjappa
Caffe2 is a popular deep learning library used for fast and scalable training, and inference of deep learning models on different platforms. This book introduces you to the Caffe2 framework and demonstrates how you can leverage its power to build, train, and deploy efficient neural network models at scale.The Caffe 2 Quick Start Guide will help you in installing Caffe2, composing networks using its operators, training models, and deploying models to different architectures. The book will also guide you on how to import models from Caffe and other frameworks using the ONNX interchange format. You will then cover deep learning accelerators such as CPU and GPU and learn how to deploy Caffe2 models for inference on accelerators using inference engines. Finally, you'll understand how to deploy Caffe2 to a diverse set of hardware, using containers on the cloud and resource-constrained hardware such as Raspberry Pi.By the end of this book, you will not only be able to compose and train popular neural network models with Caffe2, but also deploy them on accelerators, to the cloud and on resource-constrained platforms such as mobile and embedded hardware.
Mariano Iglesias
CakePHP is a rapid development framework for PHP that provides an extensible architecture for developing, maintaining, and deploying web applications. While the framework has a lot of documentation and reference guides available for beginners, developing more sophisticated and scalable applications require a deeper knowledge of CakePHP features, a challenge that proves difficult even for well established developers.The recipes in this cookbook will give you instant results and help you to develop web applications, leveraging the CakePHP features that allow you to build robust and complex applications. Following the recipes in this book you will be able to understand and use these features in no time. We start with setting up authentication on a CakePHP application. One of the most important aspects of a CakePHP application: the relationship between models, also known as model bindings. Model binding is an integral part of any application's logic and we can manipulate it to get the data we need and when we need. We will go through a series of recipes that will show us how to change the way bindings are fetched, what bindings and what information from a binding is returned, how to create new bindings, and how to build hierarchical data structures. We also define our custom find types that will extend the three basic ones, allowing our code to be even more readable and also create our own find type, with pagination support. This book also has recipes that cover two aspects of CakePHP models that are fundamental to most applications: validation, and behaviors.
James Watts
If you are a CakePHP developer looking to ease the burden of development, then this book is for you. As a headfirst dive into the framework, this collection of recipes will help you get the most out of CakePHP, and get your applications baked in no time. Even if you're not familiar with the framework, we'll take you from basic CRUD building to useful solutions that will aid in getting the job done quickly and efficiently.
Barbara Tulissi
Want to make an impact online with stunning visuals, scroll-stopping ads, and polished video? Digital design expert, Barbara Tulissi, shows you how to turn basic Canva skills into professional-level designs with ease.Whether you're a content creator, educator, entrepreneur, or media manager, this book helps you take your visuals to the next level. You’ll begin by building a strong visual identity, working through guided exercises to define your brand’s voice, values, and aesthetic. With that foundation, you’ll dive into a series of focused design recipes covering everything from crafting scroll-stopping posts to producing polished presentations and print-ready assets. By the end of this book, you’ll be equipped to create compelling brand identities, impactful marketing materials, scroll-stopping ads, and print-ready designs – all while mastering Canva AI’s Magic Studio to streamline and elevate your design workflow.
Canvas Cookbook. Click here to enter text
Bhushan Purushottam Joshi, Eric Rowell
With the growing popularity of HTML5 Canvas, this book offers tailored recipes to help you develop portable applications, presentations, and games.The recipes are simple yet creative and build on each other. At every step, the book inspires the reader to develop his/her own recipe. From basic to advanced, every aspect of Canvas API has been covered to guide readers to develop their own application, presentation, or game.
Ryan John
Canvas is an online learning management system (LMS) and one of the most powerful teaching tools that educational institutions worldwide have adopted thanks to its streamlined functionality, intuitive user interface, and robust features. This revised second edition of Canvas LMS Course Design will show you how to design, create, and teach engaging classes in online, hybrid, or fusion settings using the Canvas LMS.The book will guide you through the steps of setting up your Canvas account, creating activities and assignments, designing and customizing the course layout, and teaching your course. Whether you're using an institutional or Free-for-Teacher account, you'll be able to use Canvas for grading, feedback, and communication with and between students. As you progress, you'll learn how to integrate external apps and services with Canvas. Finally, the book features an exclusive section detailing how you can use Canvas' built-in resources as well as other resources to tackle challenges while working with the LMS. Throughout, this book will give you the technical knowledge you need to create unique learning experiences for students.By the end of this Canvas LMS Course Design, you'll be able to successfully teach online with the help of logical descriptions and step-by-step screenshots that clearly explain how to build a phenomenal course.
Ryan John
This book is intended for educators who want to use Canvas to enhance their teaching or for educators whose institution has adopted Canvas as its learning management system. Whether you are brand new to online learning or you are a seasoned expert, you will be able to master both the basic functions and the advanced features of Canvas with this book.
Jonathan Linowes, Matt Schoen
Google Cardboard is a low-cost, entry-level media platform through which you can experience virtual reality and virtual 3D environments. Its applications are as broad and varied as mobile smartphone applications themselves. This book will educate you on the best practices and methodology needed to build effective, stable, and performant mobile VR applications.In this book, we begin by defining virtual reality (VR) and how Google Cardboard fits into the larger VR and Android ecosystem. We introduce the underlying scientific and technical principles behind VR, including geometry, optics, rendering, and mobile software architecture. We start with a simple example app that ensures your environment is properly set up to write, build, and run the app. Then we develop a reusable VR graphics engine that you can build upon. And from then on, each chapter is a self-contained project where you will build an example from a different genre of application, including a 360 degree photo viewer, an educational simulation of our solar system, a 3D model viewer, and a music visualizer.Given the recent updates that were rolled out at Google I/O 2016, the authors of Cardboard VR Projects for Android have collated some technical notes to help you execute the projects in this book with Google VR Cardboard Java SDK 0.8, released in May 2016. Refer to the article at https://www.packtpub.com/sites/default/files/downloads/GoogleVRUpdateGuideforCardbook.pdf which explains the updates to the source code of the projects.
Robbie Strickland
Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes, all supporting petabytes of data. This book offers a practical insight into building highly available, real-world applications using Apache Cassandra.The book starts with the fundamentals, helping you to understand how Apache Cassandra’s architecture allows it to achieve 100 percent uptime when other systems struggle to do so. You’ll get an excellent understanding of data distribution, replication, and Cassandra’s highly tunable consistency model. Then we take an in-depth look at Cassandra's robust support for multiple data centers, and you’ll see how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you’ll find out how to steer clear of common anti-patterns and take advantage of Cassandra’s ability to fail gracefully.
Rajanarayanan Thottuvaikkatumana
If you are new to Cassandra but well-versed in RDBMS modeling and design, then it is natural to model data in the same way in Cassandra, resulting in poorly performing applications and losing the real purpose of Cassandra. If you want to learn to make the most of Cassandra, this book is for you.This book starts with strategies to integrate Cassandra with other legacy data stores and progresses to the ways in which a migration from RDBMS to Cassandra can be accomplished. The journey continues with ideas to migrate data from cache solutions to Cassandra. With this, the stage is set and the book moves on to some of the most commonly seen problems in applications when dealing with consistency, availability, and partition tolerance guarantees. Cassandra is exceptionally good at dealing with temporal data and patterns such as the time-series pattern and log pattern, which are covered next. Many NoSQL data stores fail miserably when a huge amount of data is read for analytical purposes, but Cassandra is different in this regard. Keeping analytical needs in mind, you’ll walk through different and interesting design patterns.No theoretical discussions are complete without a good set of use cases to which the knowledge gained can be applied, so the book concludes with a set of use cases you can apply the patterns you’ve learned.
Robbie Strickland
If you are a developer or DevOps engineer who understands the basics of Cassandra and are ready to take your knowledge to the next level, then this book is for you. An understanding of the essentials of Cassandra is needed.
Aleksander Molak, Ajit Jaokar
Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality.You’ll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal concepts, such as structural causal models, interventions, counterfactuals, and more. Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing towards modern machine learning methods. Step-by-step, you’ll discover Python causal ecosystem and harness the power of cutting-edge algorithms. You’ll further explore the mechanics of how “causes leave traces” and compare the main families of causal discovery algorithms. The final chapter gives you a broad outlook into the future of causal AI where we examine challenges and opportunities and provide you with a comprehensive list of resources to learn more.By the end of this book, you will be able to build your own models for causal inference and discovery using statistical and machine learning techniques as well as perform basic project assessment.
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.
Esta Lessing
Certified Business Analysis Professional (CBAP®) is a certification from the International Institute of Business Analysis (IIBA®) for professionals with extensive experience in business analysis. The CCBA® and CBAP® validates your proficiency in various aspects of business analysis and your ability to tackle challenging projects, work effectively with stakeholders, and identify and deliver business value. You’ll start by learning about the benefits of CCBA® and CBAP® certifications for your career progression before focussing on the six core knowledge areas explained thoroughly in each chapter. These include topics such as business analysis planning and monitoring, elicitation and collaboration, requirements life cycle management, strategy analysis, requirements analysis, and design definition as well as solution evaluation. The book includes the essential underlying competencies and techniques to ensure a complete understanding of the BABOK® v3 guide content. Each chapter delves into the essential concepts and business analysis task considerations utilizing practical examples. Finally, you’ll assess your knowledge through mock exam questions based on real-world case studies.By the end of this book, you’ll have gained the business analysis skills needed to prepare for the certification exams and to advance in your career.
Bekim Dauti
CCENT is the entry-level certification for those looking to venture into the networking world. This guide will help you stay up-to date with your networking skills. This book starts with the basics and will take you through everything essential to pass the certification exam. It extensively covers IPv4 and IPv6 addressing, IP data networks, switching and routing, network security, and much more—all in some detail. This guide will provide real-world examples with a bunch of hands-on labs to give you immense expertise in important networking tasks, with a practical approach. Each chapter consists of practice questions to help you take up a challenge from what you have procured. This book ends with mock tests with several examples to help you confidently pass the certification. This Certification Guide consists of everything you need to know in order to pass the ICND 1 100-105 Exam, thus obtaining a CCENT certification. However, practicing with real switches and routers or a switch or router simulator will help you succeed.