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.

Название: GitOps Cookbook: Kubernetes Automation in Practice (4th Early Release)
Автор: Natale Vinto, Alex Soto Bueno
Издательство: O’Reilly Media, Inc.
Год: 2022-11-09
Страниц: 170
Язык: английский
Формат: epub
Размер: 10.1 MB

Why are so many companies adopting GitOps for their DevOps and cloud native strategy? This reliable framework is quickly becoming the standard method for deploying apps to Kubernetes. With this practical, developer-oriented book, DevOps engineers, developers, IT architects, and SREs will learn the most useful recipes and examples for following GitOps practices. Through their years of experience in application modernization, CI/CD, and automation, authors Alex Soto Bueno and Natale Vinto from Red Hat walk you through all the steps necessary for successful hands-on application development and deployment with GitOps. Once you start using the recipes in this book, you'll have a head start in development cycles on Kubernetes following the GitOps approach.

Название: Flutter and Dart Cookbook: Developing Full-Stack Applications for the Cloud (6th Early Release)
Автор: Rich Rose
Издательство: O’Reilly Media, Inc.
Год: 2022-11-09
Страниц: 200
Язык: английский
Формат: epub
Размер: 10.2 MB

Learn the essentials of working with Flutter and Dart to build full stack applications that meet the needs of a cloud-driven world. Together, the Flutter open source UI software development kit and the Dart programming language for client development provide a unified solution to building applications capable of targeting multiple platforms. Recipes in this cookbook show you how this potent combination provides an efficient approach to application development. Typically used in frontend development, Flutter helps you develop cross-platform applications for Android, iOS, Linux, Mac, Windows, and the Google Fuchsia operating system. The Dart SDK provides native access to third-party solutions, including APIs, databases, and authentication. When used in concert with Flutter, Dart allows you to compile source code ahead of time to native code.

Название: Design Practice Reference : Guides and Templates to Craft Quality Software in Style
Автор: Olaf Zimmermann, Mirko Stocker
Издательство: Leanpub
Год: 2022-11-02
Страниц: 126
Язык: английский
Формат: pdf (true), epub
Размер: 33.3 MB

A collection of proven software engineering and architecture design method elements to accelerate project work and reduce technical risk. Suited for API design and microservice architectures. Activity descriptions and artifact templates for non-functional requirements, domain models, architectural decision records, API contracts (sample content). DPR (pronounced "deeper") collects artifact templates and practices from engineering methods (old and new) that are applicable to service-oriented analysis and design (and beyond).

Название: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems (Sixth Early Release)
Автор: Hala Nelson
Издательство: O’Reilly Media, Inc.
Год: 2022-11-09
Страниц: 609
Язык: английский
Формат: epub (true), mobi
Размер: 18.4 MB

Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations.

Название: Efficient Go: Data-Driven Performance Optimization (Final Release)
Автор: Bartlomiej Plotka
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 574
Язык: английский
Формат: epub (true), mobi
Размер: 14.5 MB

Software engineers today typically put performance optimizations low on the list of development priorities. But despite significant technological advancements and lower-priced hardware, software efficiency still matters. With this book, Go programmers will learn how to approach performance topics for applications written in this open source language. How and when should you apply performance efficiency optimization without wasting your time? Author Bartlomiej Plotka provides the tools and knowledge you need to make your system faster using fewer resources. Once you learn how to address performance in your Go applications, you'll be able to bring small but effective habits to your programming and development cycle.