Название: Financial Theory with Python: A Gentle Introduction
Автор: Yves Hilpisch
Издательство: O’Reilly Media
Год: 2021
Формат: ePUB
Страниц: 298
Размер: 10 Mb
Язык: English

Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, Financial Theory with Python teaches you the basics of financial economics. Written by the bestselling author of Python for Finance, Yves Hilpisch, this practical guide explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.

Название: Software Testing: A Craftsman's Approach, 5th Edition
Автор: Paul C. Jorgensen, Byron DeVries
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 552
Размер: 13,4 Mb
Язык: English


This updated and reorganized Fifth edition of Software Testing: A Craftsman's Approach applies the strong mathematics content of previous editions to a coherent treatment of software testing. Responding to instructor and student survey input of previous editions, the authors have streamlined chapters and examples.

Название: Beginning Vue Stack: Build and Deploy a Full Stack MongoDB, Express, Vue.js, Node.js App
Автор: Greg Lim, Daniel Correa
Издательство: Independently published
Год: 2021
Страниц: 151
Язык: английский
Формат: pdf, azw3, epub
Размер: 28.0 MB

In this book, we take you on a fun, hands-on and pragmatic journey to learning MEVN (MongoDB, Express, Vue, Node.js) stack development. You'll start building your first MEVN stack app within minutes. Every chapter is written in a bite-sized manner and straight to the point as I don’t want to waste your time (and most certainly mine) on the content you don't need. In the end, you will have the skills to create a Movies review app and deploy it to the Internet.

Название: Deep-Dive Terraform on Azure: Automated Delivery and Deployment of Azure Solutions
Автор: Ritesh Modi
Издательство: Apress
Год: 2021
Страниц: 247
Язык: английский
Формат: pdf (true), epub
Размер: 10.0 MB

Get started with the foundations of Infrastructure as Code and learn how Terraform can automate the deployment and management of resources on Azure. This book covers all of the software engineering practices related to Terraform and Infrastructure as Code with Azure as a cloud provider. The book starts with an introduction to Infrastructure as Code and covers basic concepts, principles, and tools, followed by an overview of Azure and Terraform that shows you how Terraform can be used to provision and manage Azure resources. You will get started writing multiple Terraform scripts and explore its various concepts. Author Ritesh Modi takes a deep dive into Terraform and teaches you about deployment and multiple resource creation using loops.

Название: Introduction to Quantum Computing
Автор: Ray LaPierre
Издательство: Springer
Год: 2021
Страниц: 369
Язык: английский
Формат: pdf (true), epub
Размер: 60.2 MB

This book provides a self-contained undergraduate course on quantum computing based on classroom-tested lecture notes. It reviews the fundamentals of quantum mechanics from the double-slit experiment to entanglement, before progressing to the basics of qubits, quantum gates, quantum circuits, quantum key distribution, and some of the famous quantum algorithms. As well as covering quantum gates in depth, it also describes promising platforms for their physical implementation, along with error correction, and topological quantum computing. With quantum computing expanding rapidly in the private sector, understanding quantum computing has never been so important for graduates entering the workplace or PhD programs. Assuming minimal background knowledge, this book is highly accessible, with rigorous step-by-step explanations of the principles behind quantum computation, further reading, and end-of-chapter exercises, ensuring that undergraduate students in physics and engineering emerge well prepared for the future.

Название: Nature-Inspired Computing Paradigms in Systems
Автор: Mohamed Arezki Mellal, Michael G. Pecht
Издательство: Academic Press/Elsevier
Год: 2021
Страниц: 132
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques (algorithms) and optimization approaches for system dependability. The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence. Swarm intelligence algorithms. A significant number of insects and other minor animals, such as flies, bees, fish, etc., are typically arranged in hierarchies in nature. Swarm Intelligence (SI) is an Artificial Intelligence (AI) branch that studies the collective actions and emerging properties of complex, self-organized, socially structured, decentralized systems.

Название: Programming DSLs in Kotlin: Design Expressive and Robust Special Purpose Code
Автор: Venkat Subramaniam
Издательство: Pragmatic Programmers, LLC
Год: September 2020, March 2021
Формат: true pdf/epub
Страниц: 74
Размер: 10 Mb
Язык: English

Creating your own domain-specific languages (DSLs) is both challenging and exhilarating. DSLs give users a way to interact with your applications more effectively, and Kotlin is a fantastic language to serve as a host for internal DSLs, because it greatly reduces the pain and effort of design and development. But implementing DSLs on top of Kotlin requires understanding the key strengths of the language and knowing how to apply them appropriately.

Название: Introduction to the Design and Analysis of Algorithms : The Algorithms Guide
Автор: Engr. Michael David
Издательство: Independently published
Год: 2021
Страниц: 78
Язык: английский
Формат: pdf (true)
Размер: 10.15 MB

This book covers techniques for the design and analysis of algorithms. The algorithmic techniques covered include: divide and conquer, backtracking, dynamic programming, greedy algorithms, and hill-climbing. To understand the material presented in this book you need to know a programming language well enough to translate the pseudocode in this book into a working solution. You also need to know the basics about the following data structures: arrays, stacks, queues, linked-lists, trees, heaps (also called priority queues), disjoint sets, and graphs. Additionally, you should know some basic algorithms like binary search, a sorting algorithm (merge sort, heap sort, insertion sort, or others), and breadth-first or depth-first search.

Название: Learn to Code in 30 Days: with MiniScript and Mini Micro
Автор: Joe Strout
Издательство: MiniScript Press
Год: 2021
Страниц: 501
Язык: английский
Формат: epub
Размер: 10.4 MB

If you have ever wanted to learn how to program computers, this is the book for you. Starting at Day 1 you will be writing code using a clean, simple programming language that was designed to be especially easy to learn! With step-by-step examples and clear explanations, this book will guide you from absolute beginner to sophisticated programmer. The skills you learn in this book will provide a firm foundation for programming in any language.

Название: Quantitative Social Science Data with R: An Introduction
Автор: Brian J Fogarty
Издательство: SAGE Publications Ltd
Год: 2019
Страниц: 322
Язык: английский
Формат: pdf
Размер: 59.9 MB

"One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on ′real world′ examples which help students to understand why they are learning these methods." - Dr Roxanne Connelly, University of York. Relevant, engaging, and packed with student-focused learning features, this book provides the step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and R, it uses examples from across the social sciences to show you how to apply abstract statistical and methodological principles to your own work.