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Название: Confident Coding: How to Write Code and Futureproof Your Career, 2nd Edition
Автор: Rob Percival, Darren Woods
Издательство: Kogan Page
Серия: Confident Series
Год: 2020
Страниц: 337
Язык: английский
Формат: pdf (true), epub
Размер: 16.0 MB

Coding is one of the most in-demand skills in the job market. Whether you're an entrepreneur, a recent graduate or a professional, you can supercharge your career simply by grasping the fundamentals, and Confident Coding is here to help. This new and improved second edition of the award-winning book gives you a step-by-step learning guide to HTML, CSS, jаvascript, Python, building iPhone and Android apps and debugging. For entrepreneurs, being able to create your own website or app can grant you valuable freedom and revolutionize your business. For aspiring developers, this book will give you the building blocks to embark on your career path. For working professionals, coding skills can add a valuable edge to your CV.

Название: Beginning CSS Web Development. From Novice to Professional
Автор: Simon Collison
Издательство: Apress
Год: 2006
Формат: pdf
Страниц: 446
Размер: 18 Mb
Язык: English

Cascading style sheets are one of the most important technologies on the web today, giving web developers the power to style their web sites so they are usable, lean and small in file size, look great, display consistently across most if not all web browsers, and are quick and efficient to change the look of if desired. There are many books out there on CSS, but this one is differentit wastes less time discussing theory, and gets straight to the practical learning, giving the reader what they need to know quicker.

Название: Introduction to parallel computing
Автор: Ananth Grama, George Karypis, Vipin Kumar, Anshul Gupta
Издательство: Addison-Wesley
Год: 2003
Формат: pdf
Страниц: 656
Размер: 11 Mb
Язык: English

ntroducation to Parallel Computing is a complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms to programming standards. It is the only book to have complete coverage of traditional Computer Science algorithms (sorting, graph and matrix algorithms), scientific computing algorithms (FFT, sparse matrix computations, N-body methods), and data intensive algorithms (search, dynamic programming, data-mining).

Название: Algorithm design for networked information technology systems
Автор: Sumit Ghosh, C.V. Ramamoorthy
Издательство: Springer
Год: 2004
Формат: pdf
Страниц: 442
Размер: 119 Mb
Язык: English

Networked information technology (NIT) systems are synonymous with network-centric or net-centric systems and constitute the cornerstone of the fast approaching information age. To date, however, the design and development of NIT systems have been ad hoc and have suffered from a dearth of supporting scientific and theoretical principles.

Название: Frontiers in Quantum Computing
Автор: Luigi Maxmilian Caligiuri (Editor)
Издательство: Nova Science Pub Inc
Год: 2020
Формат: True PDF
Страниц: 430
Размер: 13.8 Mb
Язык: English

Quantum Computing is an ever-increasing field of interest both from a conceptual and applied standpoint and relates to the possibility to represent, process and manipulate information by using the principles of quantum mechanics. Apart from the theoretical importance of quantum computing to further understand the quantum mechanical behavior of physical systems and the physical foundation of information itself, probably the most interesting feature of Quantum Computing is related to the possibility to design and realize an actual quantum computer which processes information in the form of quantum-bits or qubits.

Название: Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning
Автор: Taeho Jo
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 411
Размер: 10 Mb
Язык: English

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core parts. The last part provides advanced machine learning algorithms: ensemble learning, semi-supervised learning, temporal learning, and reinforced learning.

Название: Algorithms: The Computer Science of Human Decisions
Автор: Omar Alkhiri
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 400
Язык: английский
Формат: pdf, azw3
Размер: 32.5 MB

Introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.

Название: Reinforcement Learning Pocket Reference: Making Recommendations Under Uncertainty (Early Release)
Автор: Matt Kirk
Издательство: O’Reilly Media, Inc.
Год: 2021-02-12
Язык: английский
Формат: epub, rtf
Размер: 10.1 MB

When it comes to pattern recognition, machine learning and deep learning are excellent--until the underlying data changes. Training ML models to make decisions in a dynamic, ever-changing environment requires reinforcement learning. In this pocket reference, author Matt Kirk shows data scientists, data engineers, and software developers how to apply reinforcement learning to real-world situations. Despite its long history in academia, reinforcement learning has yet to reach practical business applications. You'll explore how modeling data over time can apply to recommendations, dynamic pricing, medical treatment plans, customer personalization, and traffic flow. This guide includes an easy-to-reference checklist.

Название: Mastering the Lightning Network: A Second Layer Blockchain Protocol for Instant Bitcoin Payments (Early Release)
Автор: Andreas M. Antonopoulos, Olaoluwa Osuntokun
Издательство: O’Reilly Media, Inc.
Год: 2021-02-16
Язык: английский
Формат: epub, rtf
Размер: 10.1 MB

Launched in early 2018, the Lightning Network (LN) is rapidly growing in users and capacity. This second-layer payment protocol works on top of Bitcoin and other cryptocurrencies to provide near-instantaneous transactions between two parties. With this practical guide, authors Andreas M. Antonopoulos, Olaoluwa Osuntokun, and Rene Pickhardt explain how this advancement will enable the next level of scale for Bitcoin, increasing speed and privacy while reducing fees. Ideal for developers, systems architects, investors, and entrepreneurs looking to gain a better understanding of LN, this book demonstrates why experts consider LN a critical solution to Bitcoin's scalability problem.

Название: Bootstrapping Microservices with Docker, Kubernetes, and Terraform: A project-based guide + code (Final)
Автор: Ashley Devis
Издательство: Manning Publications
Год: 2021
Формат: True PDF/EPUB
Страниц: 442
Размер: 27.8 Mb
Язык: English

The best way to learn microservices development is to build something! Bootstrapping Microservices with Docker, Kubernetes, and Terraform guides you from zero through to a complete microservices project, including fast prototyping, development, and deployment. You’ll get your feet wet using industry-standard tools as you learn and practice the practical skills you’ll use for every microservices application. Following a true bootstrapping approach, you’ll begin with a simple, familiar application and build up your knowledge and skills as you create and deploy a real microservices project.development process. You’ll learn how to create cloud infrastructure with Terraform, how to configure and package microservices using Docker, and how to deploy a microservice application on a Kubernetes cluster. When you’re finished with this engaging project, you’ll have all the skills you need to start building and deploying microservices to your own infrastructure.