Название: Coding Interviews: Advanced Guide to Help You Excel at Coding Interviews
Автор: Logan Pratt
Издательство: Independently published
Год: 2022
Страниц: 180
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

The ultimate guide to help you ace your coding interview! Coding interviews really are just interviews for a job, but they differ in that they are incredibly technical, and you need to know how to solve programs, turn your solutions into working code and make sure your solution is the best it can be – without making any mistakes. Coding interviews are typically several rounds, and each round needs its own specific preparation. You have no idea what questions you are likely to be asked, which is why I have written his guide. What is the best programming language to use in your coding interview? And does it even matter which one you use? The short answer to that is yes, it does matter. Most companies will allow you to use a programming language of your choice unless they use a specific one. The only real exception to that is Google, where candidates must choose between Python, Java, jаvascript, and C++. However, the language you choose can impact your performance more than you would believe possible. This is why choosing the right programming language at the start of your interview preparation is critical, as is using it regularly to get used to it.

Название: Непрерывное развитие API. Правильные решения в изменчивом технологическом ландшафте, 2-е издание
Автор: Меджуи Мехди, Уайлд Эрик, Митра Ронни, Амундсен Майк
Издательство: Питер
Год: 2023
Формат: pdf
Страниц: 369
Размер: 17,7 Мб
Язык: русский

Для реализации API необходимо провести большую работу, но эти усилия не всегда окупаются. Чрезмерное планирование может стать пустой тратой сил, а его недостаток приводит к катастрофическим последствиям. Во втором издании представлены решения для отдельных API и систем из нескольких API, которые позволят вам распределить необходимые ресурсы и достичь требуемого уровня эффективности за оптимальное время. Как соблюсти баланс гибкости и производительности, сохранив надежность и простоту настройки? Четыре эксперта по API объясняют разработчикам, руководителям продуктов и проектов, как максимально увеличить ценность их API, управляя интерфейсами как продуктами с непрерывным жизненным циклом.

Название: Machine Learning and Deep Learning in Computational Toxicology
Автор: Huixiao Hong
Издательство: Springer
Год: 2023
Страниц: 654
Язык: английский
Формат: pdf (true)
Размер: 19.5 MB

This book is a collection of Machine Learning and Deep Learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art Machine Learning and Deep Learning techniques in analysis of a variety of toxicological endpoint data. The contents illustrate those Machine Learning and Deep Learning algorithms, methods, and software tools and summarise the applications of Machine Learning and Deep Learning in predictive toxicology with informative text, figures, and tables that are contributed by the first tier of experts. One of the major features is the case studies of applications of Machine Learning and Deep Learning in toxicological research that serve as examples for readers to learn how to apply Machine Learning and Deep Learning techniques in predictive toxicology. This book is expected to provide a reference for practical applications of Machine Learning and Deep Learning in toxicological research.

Название: Programming Languages: Build, Prove, and Compare
Автор: Norman Ramsey
Издательство: Cambridge University Press
Год: 2023
Страниц: 800
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. The ideas, descriptive techniques, and examples are conveyed by means of bridge languages. A bridge language models a real programming language, but it is small enough to describe formally and to learn in a week or two, yet big enough to write interesting programs in. The bridge languages in this book model Algol, Scheme, ML, CLU, and Smalltalk, and they are related to many modern descendants, including C, C++, OCaml, Haskell, Java, jаvascript, Python, Ruby, and Rust.

Название: Learning Modern C++ for Finance: Foundations for Quantitative Programming (Fourth Early Release)
Автор: Daniel Hanson
Издательство: O’Reilly Media, Inc.
Год: 2023-02-08
Страниц: 204
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.18 MB

A lot of financial modeling has gravitated toward Python, R, and VBA, but many developers hit a wall with these languages when it comes to performance. This practical book demonstrates why C++ is still one of the dominant production-quality languages for financial applications and systems. Many programmers believe that C++ is too difficult to learn. Author Daniel Hanson demonstrates that this is no longer the case. Financial programmers coming from Python or another interpreted language will discover how to leverage C++ abstractions that enable safer and quicker implementation of financial models. You'll also explore how popular open source libraries provide additional weapons for attacking mathematical problems. C++ programmers unfamiliar with financial applications will also benefit from this handy guide.

Название: Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library
Автор: Samit Ahlawat
Издательство: Apress
Год: 2023
Страниц: 435
Язык: английский
Формат: pdf (true), epub (true)
Размер: 37.3 MB

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library. Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN – two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into reinforcement learning theory, explaining the Markov decision process, value function, policy, and policy gradients, with their mathematical formulations and learning algorithms. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming, covering concepts ranging from variables and graphs to automatic differentiation, layers, models, and loss functions.

Название: Spark в действии: С примерами на Java, Python и Scala
Автор: Перрен Ж. -Ж.
Издательство: ДMK
Год: 2021
Cтраниц: 636, ил.
Формат: pdf
Размер: 15 мб
Язык: русский

Анализ корпоративных данных начинается с чтения, фильтрации и объединения файлов и потоков из многих источников. Механизм обработки данных Spark способен обрабатывать эти разнообразные объемы информации как признанный лидер в этой области, обеспечивая в 100 раз большую скорость, чем например Hadoop.

Название: Fusion of Machine Learning Paradigms: Theory and Applications
Автор: Ioannis K. Hatzilygeroudis, George A. Tsihrintzis, Lakhmi C. Jain
Издательство: Springer
Год: 2023
Страниц: 204
Язык: английский
Формат: pdf (true), epub
Размер: 28.3 MB

This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. One of the most successful and most promising Machine Learning approaches that, in recent years, have claimed a large part of research activities is that of Integrated or Hybrid Approaches and Methodologies.

Название: CI/CD Pipeline with Docker and Jenkins: Learn How to Build and Manage Your CI/CD Pipelines Effectively
Автор: Sandeep Rawat
Издательство: BPB Publications
Год: 2023
Страниц: 220
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

A Practical Guide to Mastering Modern-day Software Development. ‘CI/CD Pipeline with Docker and Jenkins’ is the right mix of narrative, concepts, and real-life implementation. The book focuses on the CI/CD maturity journey of a team from a DevOps perspective. The book takes you on a CI/CD journey of a project, starting from identifying the challenges faced by the team and how the team uses CI as a first step to overcome the problems. Moving on, the book explains how the team matures via the Jenkins shared library and Dockerization. The later part of the book covers the next journey, where the DevOps team decides to introduce CD to mature the DevOps practices of the project further. Here, the book explains how the DevOps team learns about the various implementations of CD and applies them via Jenkins.

Название: UML-Based Software Product Line Engineering with SMarty
Автор: Edson OliveiraJr
Издательство: Springer
Год: 2023
Страниц: 517
Язык: английский
Формат: pdf (true)
Размер: 30.8 MB

This book is about software product lines (SPLs) designed and developed taking UML diagrams as the primary basis, modeled according to a rigorous approach composed of an UML profile and a systematic process for variability management activities, forming the Stereotype-based Management of Variability (SMarty) approach. The book consists of five parts. Part I provides essential concepts on SPL in terms of the first development methodologies. It also introduces variability concepts and discusses SPL architectures finishing with the SMarty approach. Part II is focused on the design, verification and validation of SMarty SPLs, and Part III concentrates on the SPL architecture evolution based on ISO/IEC metrics, the SystEM-PLA method, optimization with the MOA4PLA method, and feature interaction prevention. Next, Part IV presents SMarty as a basis for SPL development, such as, the M-SPLearning SPL for mobile learning applications, the PLeTs SPL for testing tools.