Название: Пять строк кода. Роберт Мартин рекомендует
Автор: Кристиан Клаусен
Издательство: Питер
Год: 2023
Страниц: 359
Язык: русский
Формат: pdf
Размер: 10.9 MB

В каждой кодовой базе есть ошибки и слабые места, которые нужно найти и исправить. Правильный рефакторинг сделает ваш код элегантным, удобным для чтения и простым в обслуживании. Познакомьтесь с уникальным подходом, позволяющим реализовать любой метод в пяти строках кода. И не забывайте про тайну, хорошо известную большинству senior-разработчиков: иногда проще ухудшить код и вернуться к его исправлению позже. «Пять строк кода» — это свежий взгляд на рефакторинг для разработчиков любого уровня. Вы узнаете, когда проводить рефакторинг, как использовать паттерны, а также научитесь определять признаки, которые говорят о том, что код необходимо удалить. Для разработчиков всех уровней. В примерах используется доступный и понятный синтаксис TypeScript, который позволяет перейти к любому языку высокого уровня.

Название: Natural Language Processing in Action, 2nd Edition (MEAP v.6)
Автор: Hobson Lane
Издательство: Manning Publications
Год: 2022
Страниц: 359
Язык: английский
Формат: pdf (true)
Размер: 27.4 MB

Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks. Natural Language Processing in Action has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. As you go, you’ll create projects that can detect fake news, filter spam, and even answer your questions, all built with Python and its ecosystem of data tools.

Название: D3.js in Action, Third Edition (MEAP v.6)
Автор: Elijah Meeks, Anne-Marie Dufour
Издательство: Manning Publications
Год: 2022
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 14.0 MB

Create stunning web-based data visualizations with D3.js. This totally-revised new edition of D3.js in Action guides you from simple charts to powerful interactive graphics. Learning D3 requires at least a minimal amount of literacy in front-end development. To get the most out of this book, you'll want to have previously learned the basics of front-end development. Being familiar with HTML elements, CSS selectors, and the main CSS properties will support your journey. You'll also need at least a beginner level of comprehension with jаvascript and its ES6 syntax. Knowing how to declare and manipulate strings, numbers, arrays, and objects will save you from many headaches, as well as understanding how to call and pass arguments to jаvascript functions.

Название: Evolutionary Intelligence for Healthcare Applications
Автор: T. Ananth Kumar, R. Rajmohan, M. Pavithra
Издательство: CRC Press
Год: 2023
Страниц: 136
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.

Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system. In the recent two decades, the acceptance of metaheuristics, particularly swarm intelligence and evolutionary algorithms (EAs), has exploded. Researchers offer a plethora of algorithms and approaches every year, and they discover a growing number of innovative applications. When we consider our daily lives, it becomes apparent that intelligent systems play a greater part in our work or practical actions, and numerous changes have been noted over the past several years in terms of intelligent approaches, methods, and techniques. Currently, the discipline of metaheuristics is having considerable influence on the spectrum of healthcare, particularly in illness diagnosis and medicine discovery. Genetic intelligence has evolved as a new-generation technique belonging to the evolutionary computing category.

Название: NumPy : From Basic to Advance : for Machine Learning
Автор: Karan Singh Bisht
Издательство: Independently published
Год: 2022
Страниц: 200
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.3 MB

NumPy, which stands for Numerical Python, is a library consisting of multidimensional array objects and a collection of routines for processing those arrays. Using NumPy, mathematical and logical operations on arrays can be performed. NumPy is a Python package. It stands for ‘Numerical Python’. It is a library consisting of multidimensional array objects and a collection of routines for processing of array. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy is often used along with packages like SciPy (Scientific Python) and Matplotlib (plotting library). This combination is widely used as a replacement for MatLab, a popular platform for technical computing. However, Python alternative to MatLab is now seen as a more modern and complete programming language. It is open-source, which is an added advantage of NumPy.

Название: Introduction to Financial Derivatives with Python
Автор: Elisa Alos, Raul Merino
Издательство: CRC Press
Год: 2023
Страниц: 253
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Introduction to Financial Derivatives with Python is an ideal textbook for an undergraduate course on derivatives, whether on a finance, economics, or financial mathematics programme. As well as covering all of the essential topics one would expect to be covered, the book also includes the basis of the numerical techniques most used in the financial industry, and their implementation in Python. At every stage and chapter, the reader will find engaging numerical demonstrations and exercises that further clarify the theory behind derivatives pricing. Furthermore, the numerical examples are coded in Python, which is now one of the most widely used programming languages at banks and asset managers. After reading the next two-hundred or so pages, the student will have gained the necessary theoretical background as well as hands-on programming experience, which is an indispensable skill in quantitative finance.

Название: OCP Oracle Certified Professional Java SE 17 Developer (Exam 1Z0-829) Programmer's Guide (Rough Cuts)
Автор: Khalid A. Mughal, Vasily A. Strelnikov
Издательство: Oracle Press
Год: 2022
Страниц: 1714
Язык: английский
Формат: epub
Размер: 31.4 MB

OCP Oracle Certified Professional Java SE 17 Developer Exam 1Z0-829 Programmer's Guide is a unique guide that combines a rigorous introduction to programming in Java with meticulous coverage of the Java SE 17 and Java SE 11 Developer exam objectives. Fully updated to reflect changes in the latest exams, it features increased focus on analyzing code scenarios--not just individual language constructs. Each objective is thoroughly addressed, reflecting the latest features and APIs, as well as best practices for taking the exam. The one book anyone studying for Java SE 17 Developer or Java SE 11 Developer certification needs.

Название: Finding Ghosts in Your dаta: Anomaly Detection Techniques with Examples in Python
Автор: Kevin Feasel
Издательство: Apress
Год: 2022
Страниц: 350
Язык: английский
Формат: pdf, epub
Размер: 14.3 MB

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming language to build a robust service for anomaly detection against a variety of data types. The book starts with an overview of what anomalies and outliers are and uses the Gestalt school of psychology to explain just why it is that humans are naturally great at detecting anomalies. From there, you will move into technical definitions of anomalies, moving beyond "I know it when I see it" to defining things in a way that computers can understand. The core of the book involves building a robust, deployable anomaly detection service in Python. You will start with a simple anomaly detection service, which will expand over the course of the book to include a variety of valuable anomaly detection techniques, covering descriptive statistics, clustering, and time series scenarios.

Название: Pro Cloud Native Java EE Apps: DevOps with MicroProfile, Jakarta EE 10 APIs and Kubernetes
Автор: Luqman Saeed, Ghazy Abdallah
Издательство: Apress
Год: 2022
Страниц: 369
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This professional guide to Java-based cloud native apps DevOps dives deeper into building and deploying production ready cloud native apps using the increasingly popular open source Eclipse MicroProfile framework, Jakarta EE 10 APIs and the most popular Kubernetes container orchestration tool. After a quick overview of Jakarta EE and MicroProfile, Pro Cloud Native Java EE Apps starts you on your way by walking you through a cloud-native Jakarta EE-based application case study that will be forged piece-by-piece over the course of the book. Next, you'll interject dependencies and data persistence capabilities as microservices to go with the case study app that you are building. Those software developers and programmers with at least some prior experience using Jakarta EE, MicroProfile. At least some prrior Java experience is expected.

Название: Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences
Автор: Age K. Smilde, Tormod Næs, Kristian Hovde Liland
Издательство: Wiley
Год: 2022
Страниц: 418
Язык: английский
Формат: pdf (true)
Размер: 22.97 MB

Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide. Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist. Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems. A large proportion of the multiblock methods found in this book are available as software implementations both in open source software and through commercial software packages. As of 2022 the largest collection of methods is found in the programming language R, though spread over many packages with various interfaces.