Название: Clean Code Cookbook: Recipes to Improve the Design and Quality of your Code (Early Release)
Автор: Maximiliano Contieri
Издательство: O’Reilly Media, Inc.
Год: 2023-01-31
Язык: английский
Формат: epub
Размер: 10.2 MB

Often, software engineers and architects work with large, complex code bases that they need to scale and maintain. With this cookbook, author Maximiliano Contieri takes you beyond the concept of clean code by showing you how to identify improvement opportunities and their impact on production code. When it comes to reliability and system evolution, these techniques provide benefits that pay off over time. Using real life examples in jаvascript, PHP, Java, Python, and many other programming languages, this cookbook provides proven recipes to help you scale and maintain large systems. Every section covers fundamental concepts including readability, coupling, testability, and extensibility, as well as code smells—symptoms of a problem that requires special attention—and the recipes to address them. Automatic refactorings are safe and make structural changes without changing the behavior. This book has many recipes with automatic and safe refactorings and also semantic refactors.

Название: PHP Cookbook: Modern Code Solutions for Professional PHP Developers (6th Early Release)
Автор: Eric A. Mann
Издательство: O’Reilly Media, Inc.
Год: 2023-01-12
Страниц: 448
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

If you're a PHP developer looking for proven solutions to common problems, this cookbook provides code recipes to help you resolve numerous scenarios. By leveraging modern versions of PHP through version 8.1, these self-contained recipes provide fully realized solutions that can help you solve similar problems in your day-to-day work. Whether you're new to development or merely new to PHP, these recipes will help you unpack the most powerful features of this programming language. Author Eric Mann, a regular contributor to php[architec magazine, frequently makes presentations on software architecture and has built scalable projects for startups and Fortune 500 companies alike. PHP is well known as a loosely-typed language. This sets the language apart as developers are not required to identify the type of a specific variable when it’s created or even when it’s called. The interpreter behind PHP will identify the right type when the variable is used and, in many cases, transparently cast the variable as a different type at runtime.

Название: Machine Learning under Malware Attack
Автор: Raphael Labaca Castro
Издательство: Springer
Год: 2023
Страниц: 134
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.2 MB

Machine Learning has become key in supporting decision-making processes across a wide array of applications, ranging from autonomous vehicles to malware detection. However, while highly accurate, these algorithms have been shown to exhibit vulnerabilities, in which they could be deceived to return preferred predictions. Therefore, carefully crafted adversarial objects may impact the trust of machine learning systems compromising the reliability of their predictions, irrespective of the field in which they are deployed. The goal of this book is to improve the understanding of adversarial attacks, particularly in the malware context, and leverage the knowledge to explore defenses against adaptive adversaries. Furthermore, to study systemic weaknesses that can improve the resilience of Machine Learning models. In addition to Reinforcement Learning (RL) strategies, Genetic Programming (GP) has been implemented to generate adversarial examples across multiple domains. Choi et al. presented an adaptive approach using Genetic Programming (GP) that relies on opensource input files. They evaluated two scenarios using malware based on Python and C. In this scenario, the attack module processes the source code of the object parsing variables and functions.

Название: Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch (Fifth Release)
Автор: Adi Polak
Издательство: O’Reilly Media, Inc.
Год: 2023-01-30
Страниц: 300
Язык: английский
Формат: pdf, epub
Размер: 15.0 MB

Get up to speed on Apache Spark, the popular engine for large-scale data processing, including Machine Learning (ML) and analytics. If you're looking to expand your skill set or advance your career in scalable Machine Learning with MLlib, distributed PyTorch, and distributed TensorFlow, this practical guide is for you. Using Spark as your main data processing platform, you'll discover several open source technologies designed and built for enriching Spark's ML capabilities. Scaling Machine Learning with Spark examines various technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLFlow, TensorFlow, PyTorch, and Petastorm. This book shows you when to use each technology and why. PyTorch and TensorFlow are among the most popular frameworks for Machine Learning. Combining these tools, which are already in use in many organizations today, allows you to take full advantage of their strengths.

Название: Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem (Second Early Release)
Автор: Claudio Jolowicz
Издательство: O’Reilly Media, Inc.
Год: 2023-01-31
Страниц: 108
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the same out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem. With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, GitHub Actions, Dependabot, pytest, mypy, Flake8, and more. Author Claudio Jolowicz shows you how to create robust Python project structures, complete with unit tests, static analysis, code formatting, type checking, and documentation, as well as continuous integration and delivery.

Название: Mockito Made Clear: Java Unit Testing with Mocks, Stubs, and Spies
Автор: Ken Kousen
Издательство: Pragmatic Bookshelf
Год: January 2023 (Version: P1.0)
Страниц: 131
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Mockito is the most popular framework in the Java world for automating unit testing with dependencies. Learn the Mockito API and how and when to use stubs, mocks, and spies. On a deeper level, discover why the framework does what it does and how it can simplify unit testing in Java. Using Mockito, you'll be able to isolate the code you want to test from the behavior or state of external dependencies without coding details of the dependency. You'll gain insights into the Mockito API, save time when unit testing, and have confidence in your Java programs. If you've only ever run a few JUnit tests or injected stubs into classes to return preset values, it's time to level up your Java toolbox. Dependencies on other classes and external resources can obscure issues and make bugs hard to detect. You need to test classes in isolation to truly pinpoint your problems. And while you could write dummy classes to replace dependencies yourself, Mockito automates the process and helps you fix your code faster.

Название: React.js Design Patterns: Learn how to build scalable React apps with ease
Автор: Anthony Onyekachukwu Okonta
Издательство: BPB Publications
Год: 2023
Страниц: 178
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.3 MB

Get familiar with React design patterns and best practices to solve common React development problems. React is a jаvascript library created by Facebook to help build applications with components. In React, there are proven methods to solve common problems experienced by React developers. If you are looking for different ways how to choose your pattern when building a React app, then this book is for you. By the end of the book, you will be able to build complex and maintainable React apps with jаvascript and TypeScript. This book is for Web developers, jаvascript developers, and Typescript developers who want to build complex and scalable apps with React. Software engineers and developers who are early in their React careers will find this book very helpful.

Название: Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R, 2nd Edition
Автор: Christian Heumann, Michael Schomaker
Издательство: Springer
Год: 2022
Страниц: 584
Язык: английский
Формат: pdf (true), epub
Размер: 52.6 MB

The success of the open-source statistical software “R” has made a significant impact on the teaching and research of statistics in the last decade. Analyzing data is now easier and more affordable than ever, but choosing the most appropriate statistical methods remains a challenge for many users. To understand and interpret software output, it is necessary to engage with the fundamentals of statistics. However, many readers do not feel comfortable with complicated mathematics. In this book, we attempt to find a healthy balance between explaining statistical concepts comprehensively and showing their application and interpretation using R. Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference.

Название: Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design
Автор: Oscar Castillo, Patricia Melin
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 254
Язык: английский
Формат: pdf (true), epub
Размер: 35.1 MB

This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance. In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students working in the theory and applications of the computational intelligence area.

Название: Machine Learning and AI Techniques in Interactive Medical Image Analysis
Автор: Lipismita Panigrahi, Sandeep Biswal, Paolo Barsocchi
Издательство: IGI Global
Год: 2022
Страниц: 241
Язык: английский
Формат: pdf (true), epub
Размер: 28.8 MB

The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and Machine Learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, etc.