Computing & Internet Professionals Books

The world is changing, A few short years ago a manual tester would run tests against software to check that the requirements had been satisfied. Fast forward to today and businesses want fast test execution, Continuous Integration with little to no human intervention.Stop Coding is a step-by-step guide into the new way of automated testing, using ground-breaking tools like Katalon Studio, a tool that allows you to test automate without coding.Easy-to-follow, eye-opening and comprehensive, Stop Coding will let you in on the processes and frameworks you should master, useful tips to make you the most eligible candidate in a job interview and all the little details that will lead you to the automation testing job. Get first-hand experience from Ajamo Adams who entered the automation arena by curbing the coding challenge and delve into the mysteries of pro standard testing WITHOUT coding! With free katalon studio training courses, intеrviеw рrераrаtiоnѕ and аdviсе, including information on what уоu should and ѕhоuldn‘t do in the interview process. Rеѕоurсеѕ on working in an agile environment, real intеrviеw ԛuеѕtiоnѕ with answers and everything else needed to get that automation testing job.

Learn to design, implement, measure, and improve DevOps programs that are tailored to your organization. This concise guide assists leaders who are accountable for the rapid development of high-quality software applications.In DevOps for Digital Leaders, deep collective experience on both sides of the dev–ops divide informs the global thought leadership and penetrating insights of the authors, all three of whom are cross-portfolio DevOps leaders at CA Technologies. Aruna Ravichandran, Kieran Taylor, and Peter Waterhouse analyze the organizational benefits, costs, freedoms, and constraints of DevOps. They chart the coordinated strategy of organizational change, metrics, lean thinking, and investment that an enterprise must undertake to realize the full potential of DevOps and reach the sweet spot where accelerating code deployments drive increasing customer satisfaction, revenue, and profitability. Digital leaders are charged to bridge the dev–ops disconnect if their organizations are to survive and flourish in a business world increasingly differentiated by the degree to which dynamic application software development harmonizes with operational resilience and reliability. This short book applies the DevOps perspective to the competitive challenge, faced by every high-performance IT organization today, of integrating and automating open source, cloud, and enterprise tools, processes, and techniques across the software development life cycle from requirements to release.What You Will Learn: Remove dependencies and constraints so that parallel practices can accelerate the development of defect-free softwareAutomate continuous delivery across the software life cycle to eliminate release bottlenecks, manual labor waste, and technical debt accumulationGenerate virtualized production-style testing of applications through real-time behavioral analyticsAdopt agile practices so operations teams can support developer productivity with automated feedback, streamline infrastructure monitoring, spot and resolve operations issues before they impact production, and improve customer experienceIdentify the DevOps metrics appropriate to your organization and integrate DevOps with your existing best practices and investment Who This Book Is For:IT leaders in large companies and government agencies who have any level of responsibility for the rapid development of high-quality software applications. The secondary readership is members of development and operations teams, security professionals, and service managers.

This book is open access under a CC BY 4.0 license.This easy-to-read book introduces the basics of solving partial differential equations by means of finite difference methods. Unlike many of the traditional academic works on the topic, this book was written for practitioners. Accordingly, it especially addresses: the construction of finite difference schemes, formulation and implementation of algorithms, verification of implementations, analyses of physical behavior as implied by the numerical solutions, and how to apply the methods and software to solve problems in the fields of physics and biology.