Wydawca: Packt Publishing
Mastering Sass. An expert's guide to practical knowledge on leveraging SASS and COMPASS
Luke Watts
CSS and Sass add elegance and excellence to the basic language, and consist of a CSS-compatible syntax that allows you to use variables, nested rules, mixins, inline imports, and much more.This book will start with an overview of the features in Sass and Compass, most of which you'll already be familiar; however, this will ensure you know what’s expected as the book goes deeper into Sass and Compass. Next you will learn CSS and HTML concepts that are vital to a good Sass workflow. After all, Sass exists to simplify writing CSS, but it won’t teach you how to make clean, scalable, reusable CSS. For that, you need to understand some basic concepts of OOCSS, SMACCS, and Atomic Design.Once you’ve brushed up on the important concepts, it’s time to write some Sass. Mainly you’ll write a few functions and mixins that really leverage control flow using @if / @else loops and you’ll learn how to figure out when and why things are going wrong before they bring you to a stop. Moving further, you’ll learn how to use @debug, @warn and @error to properly handle errors. You’ll also learn about Gulp and how to use it to automate your workflow and reduce your repetitive tasks. And finally you’ll learn about sourcemaps. With sourcemaps, you’ll be able to write, debug, and view your Sass and Compass all from within the browser. It’ll even LiveReload too! As a bonus, you’ll take a look at that funky Flexbox, currently all the rage! You’ll learn how powerful and flexible it really is, and how you can use it with Compass. Best of all, it falls back very gracefully indeed! In fact, you’ll be able to apply it to any existing project without having to change a line of the original CSS.
Alex Kozlov
Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing. This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. Most of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex concept analysis, to monitor model performance, and to build a model repository. By the end of this book, you will have gained expertise in performing Scala machine learning and will be able to build complex machine learning projects using Scala.
Paul Gerrard
If you want to learn how to quantitatively answer scientific questions for practical purposes using the powerful R language and the open source R tool ecosystem, this book is ideal for you. It is ideally suited for scientists who understand scientific concepts, know a little R, and want to be able to start applying R to be able to answer empirical scientific questions. Some R exposure is helpful, but not compulsory.
Francisco Javier Blanco-Silva, Francisco Javier B Silva
The SciPy stack is a collection of open source libraries of the powerful scripting language Python, together with its interactive shells. This environment offers a cutting-edge platform for numerical computation, programming, visualization and publishing, and is used by some of the world’s leading mathematicians, scientists, and engineers. It works on any operating system that supports Python and is very easy to install, and completely free of charge! It can effectively transform into a data-processing and system-prototyping environment, directly rivalling MATLAB and Octave.This book goes beyond a mere description of the different built-in functions coded in the libraries from the SciPy stack. It presents you with a solid mathematical and computational background to help you identify the right tools for each problem in scientific computing and visualization. You will gain an insight into the best practices with numerical methods depending on the amount or type of data, properties of the mathematical tools employed, or computer architecture, among other factors.The book kicks off with a concise exploration of the basics of numerical linear algebra and graph theory for the treatment of problems that handle large data sets or matrices. In the subsequent chapters, you will delve into the depths of algorithms in symbolic algebra and numerical analysis to address modeling/simulation of various real-world problems with functions (through interpolation, approximation, or creation of systems of differential equations), and extract their representing features (zeros, extrema, integration or differentiation).Lastly, you will move on to advanced concepts of data analysis, image/signal processing, and computational geometry.
Mark Collin
The second edition of Mastering Selenium 3.0 WebDriver starts by showing you how to build your own Selenium framework with Maven. You'll then look at how you can solve the difficult problems that you will undoubtedly come across as you start using Selenium in an enterprise environment and learn how to produce the right feedback when failing. Next, you’ll explore common exceptions that you will come across as you use Selenium, the root causes of these exceptions, and how to fix them. Along the way, you’ll use Advanced User Interactions APIs, running any JavaScript you need through Selenium; and learn how to quickly spin up a Selenium Grid using Docker containers. In the concluding chapters, you‘ll work through a series of scenarios that demonstrate how to extend Selenium to work with external libraries and applications so that you can be sure you are using the right tool for the job.
Anjali Khatri, Vikram Khatri
Although microservices-based applications support DevOps and continuous delivery, they can also add to the complexity of testing and observability. The implementation of a service mesh architecture, however, allows you to secure, manage, and scale your microservices more efficiently. With the help of practical examples, this book demonstrates how to install, configure, and deploy an efficient service mesh for microservices in a Kubernetes environment.You'll get started with a hands-on introduction to the concepts of cloud-native application management and service mesh architecture, before learning how to build your own Kubernetes environment. While exploring later chapters, you'll get to grips with the three major service mesh providers: Istio, Linkerd, and Consul. You'll be able to identify their specific functionalities, from traffic management, security, and certificate authority through to sidecar injections and observability.By the end of this book, you will have developed the skills you need to effectively manage modern microservices-based applications.
Andrew Kindred
Industry giants like RedHat and NetApp have adopted ServiceNow for their operational needs, and it is evolving as the number one platform choice for IT Service management. ServiceNow provides their clients with an add-on when it comes to baseline instances, where scripting can be used to customize and improve the performance of instances. It also provides inbuilt JavaScript API for scripting and improving your JavaScript instance.This book will initially cover the basics of ServiceNow scripting and the appropriate time to script in a ServiceNow environment. Then, we dig deeper into client-side and server-side scripting using JavaScipt API. We will also cover advance concepts like on-demand functions, script actions, and best practices. Mastering ServiceNow Scripting acts as an end-to-end guide for writing, testing, and debugging scripts of ServiceNow. We cover update sets for moving customizations between ServiceNow instances, jelly scripts for making custom pages, and best practices for all types of script in ServiceNow.By the end of this book, you will have hands-on experience in scripting ServiceNow using inbuilt JavaScript API.
Martin Wood, Andy Venables
ServiceNow is a SaaS application that provides workflow form-based applications. It is an ideal platform for creating enterprise-level applications giving requesters and fulfillers improved visibility and access to a process. ServiceNow-based applications often replace email by providing a better way to get work done. The book steps through the main aspects of the ServiceNow platform, from the ground up. It starts by exploring the core architecture of ServiceNow, including building the right data structure. To add business logic and control data, and interactivity to user interaction, you will be shown how to code on both server and the client. You will then learn more about the power of tasks, events and notifications. The book will then focus on using web services and other mechanisms to integrate ServiceNow with other systems. Furthermore, you will learn how to secure applications and data, and understand how ServiceNow performs logging and error reporting. You will then be shown how to package your applications and changes, so they can be installed elsewhere and ways to maintain them easily. If you wish to create an alternative simple interface, then explore ways to make ServiceNow beautiful using Service Portal. By the end of the book, you will know the fundamentals of the ServiceNow platform, helping you be a better ServiceNow System Administrator or developer.