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- O'reilly Media, Incorporated -
73.5 EUR 77.37 EUR
O'reilly Media, Incorporated Programming Quantum Computers: Essential Algorithms And Code Samples
Agapea.com
Brand: O'reilly Media, Incorporated
EAN: 9781492039686
MPN: 9781492039686
Categoría: Libros y revistas

Libro: Programming Quantum Computers: Essential Algorithms and Code Samples (978-1-4920-3968-6) de Eric R. Johnston; Nic Harrigan; Mercedes Gimeno-Segovia (O'Reilly Media, Incorporated ) Comprar Libros de Literatura .Literatura en Inglés .. Quantum computers are poised to kick-start a new computing revolution--and you can join in right away. If you're in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmer's guide to understanding quantum computing. Rather than labor through math and theory, you'll work directly with examples that demonstrate this technology's unique capabilities. Quantum computing specialists Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. You'll understand what quantum computers can do and learn how to identify the types of problems they can solve. This book includes three multichapter sections: Programming for a QPU --Explore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation. QPU Primitives --Learn algorithmic primitives and techniques, including amplitude amplification, the Quantum Fourier Transform, and phase estimation. QPU Applications --Investigate how QPU primitives are used to build existing applications, including quantum search techniques and Shor's factoring algorithm. 0
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O'reilly Media, Incorporated in Libros y revistas

-5%2
- O'reilly Media, Incorporated -
59.95 EUR 63.11 EUR
O'reilly Media, Incorporated The Practitioner's Guide To Graph Data: Applying Graph Thinking And Graph Technologies To Solve Complex Problems
Agapea.com
Brand: O'reilly Media, Incorporated
EAN: 9781492044079
MPN: 9781492044079
Categoría: Libros y revistas

Libro: The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems (978-1-4920-4407-9) de Gosnell, Denise, Matthias Broecheler (O'Reilly Media, Incorporated ) Comprar Libros de Literatura .Literatura en Inglés .. Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you'll arrive at a unique intersection known as graph thinking . Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You'll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application. Build an example application architecture with relational and graph technologies Use graph technology to build a Customer 360 application, the most popular graph data pattern today Dive into hierarchical data and troubleshoot a new paradigm that comes from working with graph data Find paths in graph data and learn why your trust in different paths motivates and informs your preferences Use collaborative filtering to design a Netflix-inspired recommendation system 0
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O'reilly Media, Incorporated in Libros y revistas

-5%3
- O'reilly Media, Incorporated -
73.5 EUR 77.37 EUR
O'reilly Media, Incorporated Causal Inference In Python: Applying Causal Inference In The Tech Industry
Agapea.com
Brand: O'reilly Media, Incorporated
EAN: 9781098140250
MPN: 9781098140250
Categoría: Libros y revistas

Libro: Causal Inference in Python: Applying Causal Inference in the Tech Industry (978-1-09-814025-0) de Matheus Facure (O'Reilly Media, Incorporated ) Comprar Libros de Otros .. How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the business metrics we want to drive is through causal inference. In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences. Each method is accompanied by an application in the industry to serve as a grounding example. With this book, you will: Learn how to use basic concepts of causal inference Frame a business problem as a causal inference problem Understand how bias gets in the way of causal inference Learn how causal effects can differ from person to person Use repeated observations of the same customers across time to adjust for biases Understand how causal effects differ across geographic locations Examine noncompliance bias and effect dilution 0
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O'reilly Media, Incorporated in Libros y revistas

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- "o'reilly Media, Inc." -
36.74 EUR 38.67 EUR
"o'reilly Media, Inc." Python And Xml
Agapea.com
Brand: "o'reilly Media, Inc."
EAN: 9780596001285
MPN: 9780596001285
Categoría: Libros y revistas

Libro: Python and XML (978-0-596-00128-5) de Jones, Christopher ("O'Reilly Media, Inc." ) Comprar Libros de Ciencias Técnicas .Informática .. If you are a Python programmer who wants to incorporate XML into your skill set, this is the book for you. Python has attracted a wide variety of developers, who use it either as glue to connect critical programming tasks together, or as a complete cross-platform application development language. Yet, because it is object-oriented and has powerful text manipulation abilities, Python is an ideal language for manipulating XML. Python XML gives you a solid foundation for using these two languages together. Loaded with practical examples, this new volume highlights common application tasks, so that you can learn by doing. The book starts with the basics then quickly progresses to complex topics, like transforming XML with XSLT, querying XML with XPath, and working with XML dialects and validation. It also explores the more advanced issues: using Python with SOAP and distributed web services, and using Python to create scalable streams between distributed applications (like databases and web servers). The book provides effective practical applications, while referencing many of the tools involved in XML processing and Python, and highlights cross-platform issues along with tasks relevant to enterprise computing. You will find ample coverage of XML flow analysis and details on ways in which you can transport XML through your network. Whether you are using Python as an application language, or as an administrative or middleware scripting language, you are sure to benefit from this book. If you want to use Python to manipulate XML, this is your guide. 0
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- O'reilly Media, Incorporated -
73.5 EUR 77.37 EUR
O'reilly Media, Incorporated Javascript: The Definitive Guide: Master The World's Most-used Programming Language
Agapea.com
Brand: O'reilly Media, Incorporated
EAN: 9781491952023
MPN: 9781491952023
Categoría: Libros y revistas

Libro: Javascript: The Definitive Guide: Master the World's Most-Used Programming Language (978-1-4919-5202-3) de Flanagan, David (O'Reilly Media, Incorporated ) Comprar Libros de Ciencias Técnicas .Informática .Programación .. JavaScript is the programming language of the web and is used by more software developers today than any other programming language. For nearly 25 years this best seller has been the go-to guide for JavaScript programmers. The seventh edition is fully updated to cover the 2020 version of JavaScript, and new chapters cover classes, modules, iterators, generators, Promises, async/await, and metaprogramming. You'll find illuminating and engaging example code throughout. This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js. Topics include: Types, values, variables, expressions, operators, statements, objects, and arrays Functions, classes, modules, iterators, generators, Promises, and async/await JavaScript's standard library: data structures, regular expressions, JSON, i18n, etc. The web platform: documents, components, graphics, networking, storage, and threads Node.js: buffers, files, streams, threads, child processes, web clients, and web servers Tools and language extensions that professional JavaScript developers rely on 0
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-5%6
- O'reilly Media -
40.42 EUR 42.55 EUR
O'reilly Media Making Data Visual: A Practical Guide To Using Visualization For Insight
Agapea.com
Brand: O'reilly Media
EAN: 9781491928462
MPN: 9781491928462
Categoría: Libros y revistas

Libro: MAKING DATA VISUAL: A PRACTICAL GUIDE TO USING VISUALIZATION FOR INSIGHT (978-1-4919-2846-2) de Danyel Fisher, Miriah Meyer (O'Reilly Media ) Comprar Libros de Ciencias Técnicas .Informática .. Encuadernación: Tapa blanda You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you??re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way. When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world. You all learn: The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualization The role that visual representations play in data discovery Common visualization types by the tasks they fulfill and the data they use Visualization techniques that use multiple views and interaction to support analysis of large, complex data sets 0
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-5%7
- "o'reilly Media, Inc." -
5.04 EUR 5.31 EUR
"o'reilly Media, Inc." Mintduino: Building An Arduino-compatible Breadboard Microcontroller
Agapea.com
Transporte: 2.95 EUR

Brand: "o'reilly Media, Inc."
EAN: 9781449307660
MPN: 9781449307660
Categoría: Libros y revistas

Libro: Mintduino: Building an Arduino-Compatible Breadboard Microcontroller (978-1-4493-0766-0) de James Kelly; Marc de Vinck ("O'Reilly Media, Inc." ) Comprar Libros de Ciencias Técnicas .Informática .. Get started with MintDuino, the Maker Shed kit that's perfect for learning or teaching the fundamentals of how microcontrollers work. This hands-on book shows you how to build a complete MintDuino project from start to finish. Learn how to assemble the microcontroller on a breadboard (no soldering required), and immediately begin programming it. You'll build the MintDuino Reflex Game in five separate stages or sub-tasks. Breaking down a large project into manageable tasks helps you track down errors quickly, and lets you see how each part of the circuit works. Once you complete the game, you'll have the resources and experience to tackle more MintDuino projects. If you're interested in the fascinating world of microcontrollers, you'll enjoy this book. Wire up and program the MintDuino to light an LED Build a game that tests the reflexes of two players Learn how to make your "game light" glow at random intervals Construct a pushbutton circuit to control individual players' LEDs Put all of the components together, including simple code to control your game 0
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