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Testing Vue.js Applications - Edd Yerburgh - Bog - Manning Publications - Plusbog.dk

Description Vue.js is one of the fastest growing and most popular open-source JavaScript frameworks around. Vue''s meteoric success is found in its simplicity and short learning curve, but few resources are available to teach you how to test a Vue application effectively and efficiently. Testing Vue.js Applications is a comprehensive guide to testing Vue components, methods, events, and output. Author Edd Yerburgh, creator of the Vue testing utility avoriaz, teaches readers how to set up effective testing practices. Key features · Creating and testing Vue mixins · Building and testing component output, method, and events · Running unit tests, snapshot tests, and end to end tests in Jest Audience Written for developers with an intermediate knowledge of JavaScript, HTML, and CSS and a basic understanding of Vue.js. Some experience with ES6 is helpful, but not required. About the technology Vue is a powerful web framework that changes the way you build web UI. To test applications built with Vue, you need to master a new set of tools and techniques designed to work with Vue''s unique reactive design and the flexible collection of components that make up the Vue stack. Edd Yerburgh is an experienced JavaScript developer and Vue core contributor. He is the main author of the official Vue test library and a prominent figure in the Vue testing community.

DKK 370.00

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Ensemble Methods for Machine Learning - Gautam Kunapuli - Bog - Manning Publications - Plusbog.dk

Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you''ll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.

DKK 459.00

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Grokking Web Application Security - Malcolm Mcdonald - Bog - Manning Publications - Plusbog.dk

When you launch an application on the web, every hacker in the world has access to it. Are you sure your web apps can stand up to the most sophisticated attacks? Grokking Web Application Security is a brilliantly illustrated and clearly written guide that delivers detailed coverage on: - - How the browser security model works, including sandboxing, the same-origin policy, and methods of securing cookies - - Securing web servers with input validation, escaping of output, and defense in depth - - A development process that prevents security bugs - - Protecting yourself from browser vulnerabilities such as cross-site scripting, cross-site request forgery, and clickjacking - - Network vulnerabilities like man-in-the-middle attacks, SSL-stripping, and DNS poisoning - - Preventing authentication vulnerabilities that allow brute forcing of credentials by using single sign-on or multi-factor authentication - - Authorization vulnerabilities like broken access control and session jacking - - How to use encryption in web applications - - Injection attacks, command execution attacks, and remote code execution attacks - - Malicious payloads that can be used to attack XML parsers, and file upload functions -

DKK 630.00

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Software Testing with Generative AI - Mark Winteringham - Bog - Manning Publications - Plusbog.dk

Speed up your testing and deliver exceptional product quality with the power of AI tools. The more you test, the more you learn about your software. Software Testing with Generative AI shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time. In Software Testing with Generative AI you''ll learn how to: - - Spot opportunities to improve test quality with AI - - Construct test automation with the support of AI tools - - Formulate new ideas during exploratory testing using AI tools - - Use AI tools to aid the design process of new features - - Improve the testability of a context with the help of AI tools - - Maximize your output with prompt engineering - - Create custom LLMs for your business''s specific needs - Software Testing with Generative AI is full of hype-free advice for supporting your software testing with AI. In it, you''ll find strategies from bestselling author Mark Winteringham to generate synthetic testing data, implement automation, and even augment and improve your test design with AI. About the technology: There''s a simple rule in software testing: the more you test, the more you learn. And as any testing pro will tell you, good testing takes time. By integrating large language models (LLMs) and generative AI into your process, you can dramatically automate and enhance testing, improve quality and coverage, and deliver more meaningful results.

DKK 572.00

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Evolutionary Deep Learning - Micheal Lanham - Bog - Manning Publications - Plusbog.dk

Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning''s common pitfalls and deliver adaptable model upgrades without constant manual adjustment. In Evolutionary Deep Learning you will learn how to: - - Solve complex design and analysis problems with evolutionary computation - - Tune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimization - - Use unsupervised learning with a deep learning autoencoder to regenerate sample data - - Understand the basics of reinforcement learning and the Q Learning equation - - Apply Q Learning to deep learning to produce deep reinforcement learning - - Optimize the loss function and network architecture of unsupervised autoencoders - - Make an evolutionary agent that can play an OpenAI Gym game - Evolutionary Deep Learning is a guide to improving your deep learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser-known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning. about the technology Evolutionary deep learning merges the biology-simulating practices of evolutionary computation (EC) with the neural networks of deep learning. This unique approach can automate entire DL systems and help uncover new strategies and architectures. It gives new and aspiring AI engineers a set of optimization tools that can reliably improve output without demanding an endless churn of new data. about the reader For data scientists who know Python.

DKK 459.00

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Let's Talk Python - Huseyin Babal - Bog - Manning Publications - Plusbog.dk

Learn Python the fun and easy way with your new friends Erik and Simon! A Pythonic Adventure, is a unique Python beginners guide, written especially for young people. This colorful book uses engaging questions and lively conversations to introduce computer programming to young readers one step at a time. There are no boring lessons or dull exercises; instead, you will team up with two brothers, Erik and Simon, who are busy talking about Python programming and asking the same questions you are! As you follow along, you will learn from the brothers'' mistakes, discover how to write programs with a team, and get a chance to create applications you can use in your daily life. All code in this book runs on Mac, Windows, Linux, and Raspberry Pi. The engaging questions and lively conversations in the book will help you learn useful Python skills like: - - Installing Python - - Working with files - - Creating text-based dialog boxes and menus - - Using if/then, loops, list, dictionaries, and input/output - - Building web applications - - Making your web apps look super professional - It''s fun to learn with friends! Join them as they chat about the language, learn the basics, and build some cool programs. It''s the perfect way for young programmers (and their parents!) to get started. About the technology Python is one of the best languages for new programmers! Its creators designed it to be easy to learn and easy to use. But Python isn''t just a language for beginners — it is used for all sorts of things, from web apps to artificial intelligence! Open up this fun, friendly guide and you will see just how easy it is to get started with Python.

DKK 438.00

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