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商品	説明	価格
Clap Your Hands! (Sesame Street) [With Puppet] CLAP YOUR HANDS (SESAME STREET （Puppet Books） [ Random House ] 楽天ブックス	CLAP YOUR HANDS (SESAME STREET Puppet Books Random House Random House RANDOM HOUSE2002 Board　Books English OTHER ISBN：9780375822261 洋書 Books for kids（児童書） Juvenile Fiction	1,742円
【月間優良ショップ】ニュクス Nuxe Bio Beaute By Nuxe High-Nutrition Hand Cream With Natural Cold Cream (For Dry To Very Dry Hands) 50ml/1.5oz【海外通販】 Strawberrynet - fresh beauty	オーガニックで自然で超栄養のあるハンドクリーム超富裕層のテクスチャーはすぐに肌に溶けます 98％天然と17％の有機成分で処方強い栄養を提供するための天然のコールドクリームが含まれています肌を柔らかくするためにシアバターで使用されています乾燥して非常に乾燥した手に落ち着くのに役立ちます手を滑らかで、快適で、水分補給します人工香料、ミネラルオイル、パラベンはありません内容量： 50ml/1.5oz広告文責：Strawberry Cosmetics(Internet Service)Limited 03-5657-8447メーカー（製造）・輸入者名：ニュクス・個人輸入区分：フランス製・化粧品 ※世界中より仕入れておりますので同じ商品でも製造国が異なる場合があります。当店でご購入された商品は、「個人輸入」としての取り扱いになり、すべて香港からお客様のもとへ直送されます。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちら。	1,900円
ARMOR-X｜アーマーエックス ARMOR-X - IP68 Waterproof Case with Hand Strap for iPad ( 10th ) [ Black ] ブラック楽天ビック（ビックカメラ×楽天）	水深1.5mで1時間水没可能な耐水性・防塵性能(IP68)を持ち、軍用規格試験に合格した耐衝撃性能が、高さ1.2mの落下からでもタブレットを守ります。■IP68防水/防塵性能(水深1.5mまでの浸水に1時間耐える)■ミルスペックに準拠する、1.2mからの落下保護性能■端末のスクリーンを覆う360°の保護性能■ハンドストラップ同梱■ストラップホール付き■キックスタンド内蔵※TouchID非対応	13,100円
Scratch & Sketch Dino Dudes (Trace-Along) [With Wooden Stylus for Drawing] SCRATCH & SKETCH SCRATCH & SKE （Scratch and Sketch） [ Inc Peter Pauper Press ] 楽天ブックス	SCRATCH & SKETCH SCRATCH & SKE Scratch and Sketch Inc Peter Pauper Press PETER PAUPER2005 Spiral English PENS/PENCI ISBN：9781593599737 洋書 Books for kids（児童書） Juvenile Nonfiction	2,376円
Foster's Complete Hoyle: An Encyclopedia of Games Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ] 楽天Kobo電子書籍ストア	＜p＞Foster's Complete Hoyle: An Encyclopedia of Games by R. F. Foster is a comprehensive guide to indoor games played during the author's time. The book offers expert advice on strategies, illustrative examples, and a complete set of official rules. Foster's work remains a valuable resource for enthusiasts and historians interested in the evolution of gaming and its cultural impact.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	300円
Foster's Complete Hoyle: An Encyclopedia of Games Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ] 楽天Kobo電子書籍ストア	＜p＞R. F. Foster's 'Foster's Complete Hoyle: An Encyclopedia of Games' is a comprehensive guide that delves into the world of games. The book covers a wide range of games with detailed instructions, rules, and strategies, making it a valuable resource for both beginners and seasoned players. Foster's writing style is clear and concise, making it easy for readers to understand and follow along. The context of the book lies in the rich history of game playing, showcasing the importance of games in various cultures and societies. This encyclopedia is not only informative but also a delightful read for anyone interested in the art of game playing. R. F. Foster, a respected author and historian, has a deep passion for games and their cultural significance. His expertise in history and literature has led him to compile this extensive encyclopedia, showcasing his knowledge and love for games of all kinds. Foster's meticulous research and attention to detail are evident throughout the book, making it a must-have for game enthusiasts and researchers alike. I highly recommend 'Foster's Complete Hoyle: An Encyclopedia of Games' to anyone looking to expand their knowledge of games and their history. Whether you are a casual player or a serious game enthusiast, this book offers valuable insights and information that will surely enhance your gaming experience.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	300円
Python for Beginners. A Smarter Way to Learn Python in 5 Days and Remember it Longer. With Easy Step by Step Guidance and Hands on Examples. (Python Crash Course-Programming for Beginners)【電子書籍】[ Arthur T. Brooks ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Have you always wanted to learn computer programming but thought it was too difficult or would take too long?＜/strong＞＜/p＞＜p＞＜strong＞Do you want to know the secret to learning Python the easy way and start programming today?＜/strong＞＜/p＞＜p＞This book is for you.＜/p＞＜p＞You don't need to waste your time and money learning Python the hard way through tiresome technical books, expensive online courses and difficult Python tutorials.＜/p＞＜p＞This non-technical book will gently guide you through…＜/p＞＜p＞＜strong＞The Python Programming Language.＜/strong＞＜/p＞＜p＞You will learn the most concise methods to get you coding on day one-the smart way.＜/p＞＜p＞＜strong＞Python for Beginners.＜/strong＞＜/p＞＜p＞Beginner friendly hands on examples of practical and usable projects.＜/p＞＜p＞＜strong＞The most useful Python examples.＜/strong＞＜/p＞＜p＞Each example is specifically designed to give you a progressive and thorough understanding of key concepts and all answers are provided.＜/p＞＜p＞＜strong＞Strategic Python topics.＜/strong＞＜/p＞＜p＞The topics are presented in user friendly bite sized chunks to optimize a quick learning style which will also make it easy for you to remember.＜/p＞＜p＞This book is different in that it's primary focus it to teach you Python coding in a simple and concise format and in the quickest time frame possible. Each short chapter has exercises at the end which summarize what you have learned in a progressive manner to avoid overloading you with information.＜/p＞＜p＞Each exercise has been carefully chosen to enable you to master the language and retain what you have learned. No technical skills, previous knowledge or experience is required.＜/p＞＜p＞＜strong＞Download it now＜/strong＞＜/p＞＜p＞You'll also learn:＜/p＞＜p＞Exactly what is Python?＜/p＞＜p＞Which software do you need to code and run Python programs and where to find it?＜/p＞＜p＞What are variables?＜/p＞＜p＞What are strings and methods?＜/p＞＜p＞Using operations with numbers?＜/p＞＜p＞Using operations with lists?＜/p＞＜p＞How to use comments?＜/p＞＜p＞Working with loops?＜/p＞＜p＞Working with IF statements?＜/p＞＜p＞Operations involving dictionaries.＜/p＞＜p＞Operations using defined functions.＜/p＞＜p＞How to work with files?＜/p＞＜p＞How to manage errors and exceptions?＜/p＞＜p＞＜strong＞And more!＜/strong＞＜/p＞＜p＞Finally, you will be gently guided on how to put everything that you have learned together so that you can immediately start your own Python coding in your chosen real-world scenarios.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	450円
Learn SQL using MySQL in One Day and Learn It Well SQL for beginners with Hands-on Project【電子書籍】[ Jamie Chan ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Master SQL and unlock the power of database management. From basics to advanced queries, this book guides you through practical exercises to efficiently manage data.＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Step-by-step guidance from basic to advanced SQL techniques＜/li＞＜li＞Comprehensive coverage of MySQL, a leading database management system＜/li＞＜li＞Practical exercises with solutions to reinforce learning＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Learn SQL (using MySQL) in One Day and Learn It Well is the ultimate guide for beginners aiming to grasp the complexities of SQL through hands-on learning. Starting with an introduction to the essence of databases, this book methodically advances through defining and manipulating tables, mastering data insertion, updates, deletions, and executing sophisticated data selection techniques across its comprehensive chapters. It further explores the creation and utility of views, the implementation of triggers to automate database responses, and the intricacies of variables, stored routines, control flow tools, and cursors, culminating in a capstone project that brings all concepts together. Culminating in a project , this book offers a unique opportunity to apply all the learned concepts in a practical, real-world scenario, reinforcing the skills and knowledge acquired throughout the chapters. The appendices provide additional resources including table definitions for practical exercises modeled on real-world scenarios. Embark on a learning journey that transitions you from novice to proficient in managing and querying databases with MySQL, empowering you with the skills to tackle real-world data challenges.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand the fundamental concepts and architecture of databases＜/li＞＜li＞Define and design efficient database tables to store data logically＜/li＞＜li＞Utilize advanced selection techniques to manipulate & analyze data＜/li＞＜li＞Create views to simplify complex queries and enhance accessibility＜/li＞＜li＞Implement triggers to automate database operations＜/li＞＜li＞Complete a hands-on project to apply skills in a practical scenario＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is ideal for individuals with no prior experience in SQL or database management. It is perfect for those looking to acquire a strong foundational understanding of SQL using MySQL. Pre-requisites include basic computer literacy and an eagerness to learn data management techniques.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	1,033円
Hands-On RESTful Web Services with Go Develop elegant RESTful APIs with Golang for microservices and the cloud, 2nd Edition【電子書籍】[ Naren Yellavula ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Design production-ready, testable, and maintainable RESTful web services for the modern web that scale easily＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Employ a combination of custom and open source solutions for application program interface (API) development＜/li＞＜li＞Discover asynchronous API and API security patterns and learn how to deploy your web services to the cloud＜/li＞＜li＞Apply design patterns and techniques to build reactive and scalable web services＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Building RESTful web services can be tough as there are countless standards and ways to develop API. In modern architectures such as microservices, RESTful APIs are common in communication, making idiomatic and scalable API development crucial. This book covers basic through to advanced API development concepts and supporting tools.＜/p＞＜p＞You'll start with an introduction to REST API development before moving on to building the essential blocks for working with Go. You'll explore routers, middleware, and available open source web development solutions in Go to create robust APIs, and understand the application and database layers to build RESTful web services. You'll learn various data formats like protocol buffers and JSON, and understand how to serve them over HTTP and gRPC. After covering advanced topics such as asynchronous API design and GraphQL for building scalable web services, you'll discover how microservices can benefit from REST. You'll also explore packaging artifacts in the form of containers and understand how to set up an ideal deployment ecosystem for web services. Finally, you'll cover the provisioning of infrastructure using infrastructure as code (IaC) and secure your REST API.＜/p＞＜p＞By the end of the book, you'll have intermediate knowledge of web service development and be able to apply the skills you've learned in a practical way.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Explore the fundamentals of API development and web services＜/li＞＜li＞Understand the various building blocks of API development in Go＜/li＞＜li＞Use superior open source solutions for representational state transfer (REST) API development＜/li＞＜li＞Scale a service using microservices and asynchronous design patterns＜/li＞＜li＞Deliver containerized artifacts to the Amazon Web Services (AWS) Cloud＜/li＞＜li＞Get to grips with API security and its implementation＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for all the Go developers who are comfortable with the language and seeking to learn REST API development. Even senior engineers can enjoy this book, as it discusses many cutting-edge concepts, such as building microservices, developing API with GraphQL, using protocol buffers, asynchronous API design, and Infrastructure as a Code. Developers who are already familiar with REST concepts and stepping into the Go world from other platforms, such as Python and Ruby, can also benefit a lot.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,290円
Buy Data Structures and Algorithms in Python (2024) Learn Data Structures & Algorithms (Python) in One Day and Learn It Well. Data Structures & Algorithms for Beginners with Hands-on Project【電子書籍】[ DS Publishing ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Unveiling the Essence of Data Structures and Algorithms: Your Path to Software Excellence!＜/strong＞＜/p＞＜p＞Are you ready to unravel the complexity of algorithms with ease? Look no further ? we've crafted the ultimate guide to demystify this intricate topic. Algorithms are the backbone of software programs, orchestrating data structure manipulations. Prepare for an enlightening journey filled with clear examples and hands-on workshops, all within an integrated development environment.＜/p＞＜p＞＜strong＞〓 Mastering Data Structures & Algorithms: The Python Way 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Bridging the Gap Between Complexity and Comprehension 〓＜/strong＞＜/p＞＜p＞Embark on your software development odyssey with an Introduction to Data Structures and Algorithms Made Easy in Python ? one of the most sought-after programming languages. Harness the extraordinary speed and precision of computers for data storage and processing. Efficient data organization and retrieval, coupled with swift and accurate data processing, form the bedrock of success.＜/p＞＜p＞＜strong＞〓 Highlighting Our Approach 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Crystal-Clear Data Structures & Algorithms Illustrations 〓＜/strong＞＜/p＞＜p＞Navigate the realm of data structures that dictate data organization and memory storage during program execution. It's important to distinguish persistent storage (like relational tables on disk) from these in-memory structures.＜/p＞＜p＞＜strong＞〓 Advancing with Python and Algorithms 〓＜/strong＞＜/p＞＜p＞Algorithms, those step-by-step guides to data processing, depend on cleverly woven data structures. In this book, we dive deep into these computer science pillars using the power of Python programming.＜/p＞＜p＞＜strong＞〓 Unveiling What Lies Ahead 〓＜/strong＞＜/p＞＜p＞Inside, you'll discover:＜/p＞＜p＞- A comprehensive introduction to the realm of data structures and algorithms.＜br /＞ - Seamless environment setup to ensure a smooth journey.＜br /＞ - Mastery over arrays, lists, and maps.＜br /＞ - Navigating the terrain of dictionaries and hashes.＜br /＞ - Commanding sorting techniques for optimal data arrangement.＜br /＞ - Strategic searching methods to swiftly retrieve information.＜br /＞ - Unleashing the potential of the binary tree structure.＜br /＞ - Designs of algorithms that underpin problem-solving.＜br /＞ - And much, much more, waiting for you to explore!＜/p＞＜p＞＜strong＞〓 Embark on Your Software Mastery Odyssey Today! 〓＜/strong＞＜/p＞＜p＞Are you ready to delve into the intricate world of data structures and algorithms? Your gateway to software excellence awaits ? seize the opportunity now.＜/p＞＜p＞＜strong＞〓 Secure Your Data Structures & Algorithms Copy Today! 〓＜/strong＞＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,006円
Hands-On Data Science for Marketing Improve your marketing strategies with machine learning using Python and R【電子書籍】[ Yoon Hyup Hwang ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Optimize your marketing strategies through analytics and machine learning＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Understand how data science drives successful marketing campaigns＜/li＞＜li＞Use machine learning for better customer engagement, retention, and product recommendations＜/li＞＜li＞Extract insights from your data to optimize marketing strategies and increase profitability＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies.＜/p＞＜p＞This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R.＜/p＞＜p＞By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Learn how to compute and visualize marketing KPIs in Python and R＜/li＞＜li＞Master what drives successful marketing campaigns with data science＜/li＞＜li＞Use machine learning to predict customer engagement and lifetime value＜/li＞＜li＞Make product recommendations that customers are most likely to buy＜/li＞＜li＞Learn how to use A/B testing for better marketing decision making＜/li＞＜li＞Implement machine learning to understand different customer segments＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life examples.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円
Hands-On Embedded Programming with Qt Develop high performance applications for embedded systems with C++ and Qt 5【電子書籍】[ John Werner ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞A comprehensive guide that will get you up and running with embedded software development using Qt5＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn to create fluid, cross-platform applications for embedded devices＜/li＞＜li＞Achieve optimum performance in your applications with QT Lite project＜/li＞＜li＞Explore the implementation of Qt with IoT using QtMqtt, QtKNX, and QtWebSockets＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Qt is an open-source toolkit suitable for cross-platform and embedded application development. This book uses inductive teaching to help you learn how to create applications for embedded and Internet of Things (IoT) devices with Qt 5.＜/p＞＜p＞You'll start by learning to develop your very first application with Qt. Next, you'll build on the first application by understanding new concepts through hands-on projects and written text. Each project will introduce new features that will help you transform your basic first project into a connected IoT application running on embedded hardware. In addition to practical experience in developing an embedded Qt project, you will also gain valuable insights into best practices for Qt development, along with exploring advanced techniques for testing, debugging, and monitoring the performance of Qt applications. Through the course of the book, the examples and projects are demonstrated in a way so that they can be run both locally and on an embedded platform.＜/p＞＜p＞By the end of this book, you will have the skills you need to use Qt 5 to confidently develop modern embedded applications.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand how to develop Qt applications using Qt Creator under Linux＜/li＞＜li＞Explore various Qt GUI technologies to build resourceful and interactive applications＜/li＞＜li＞Understand Qt's threading model to maintain a responsive UI＜/li＞＜li＞Get to grips with remote target load and debug under Qt Creator＜/li＞＜li＞Become adept at writing IoT code using Qt＜/li＞＜li＞Learn a variety of software best practices to ensure that your code is efficient＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for software and hardware professionals with experience in different domains who are seeking new career opportunities in embedded systems and IoT. Working knowledge of the C++ Linux command line will be useful to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,290円
Piano Concertos Nos. 1 and 2: With Orchestral Reduction for Second Piano PIANO CONCERTOS NOS 1 & 2 （Dover Classical Piano Music: Four Hands） [ Johannes Brahms ] 楽天ブックス	PIANO CONCERTOS NOS 1 & 2 Dover Classical Piano Music: Four Hands Johannes Brahms DOVER PUBN INC2014 Paperback English ISBN：9780486406251 洋書 Art & Entertainment（芸術＆エンターテインメント） Music	2,534円
Hands-On Design Patterns with React Native Proven techniques and patterns for efficient native mobile development with JavaScript【電子書籍】[ Mateusz Grzesiukiewicz ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Learn how to write cross platform React Native code by using effective design patterns in the JavaScript world. Get to know industry standard patterns as well as situational patterns. Decouple your application with these set of “Idea patterns”.＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Mobile development in React Native should be done in a reusable way.＜/li＞＜li＞Learn how to build scalable applications using JavaScript patterns that are battle tested.＜/li＞＜li＞Try effective techniques on your own using over 80 standalone examples.＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞React Native helps developers reuse code across different mobile platforms like iOS and Android.＜/p＞＜p＞This book will show you effective design patterns in the React Native world and will make you ready for professional development in big teams.＜/p＞＜p＞The book will focus only on the patterns that are relevant to JavaScript, ECMAScript, React and React Native. However, you can successfully transfer a lot of the skills and techniques to other languages. I call them “Idea patterns”.＜/p＞＜p＞This book will start with the most standard development patterns in React like component building patterns, styling patterns in React Native and then extend these patterns to your mobile application using real world practical examples. Each chapter comes with full, separate source code of applications that you can build and run on your phone.＜/p＞＜p＞The book is also diving into architectural patterns. Especially how to adapt MVC to React environment. You will learn Flux architecture and how Redux is implementing it. Each approach will be presented with its pros and cons. You will learn how to work with external data sources using libraries like Redux thunk and Redux Saga.＜/p＞＜p＞The end goal is the ability to recognize the best solution for a given problem for your next mobile application.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Explore the design Patterns in React Native＜/li＞＜li＞Learn the best practices for React Native development＜/li＞＜li＞Explore common React patterns that are highly used within React Native development＜/li＞＜li＞Learn to decouple components and use dependency injection in your applications＜/li＞＜li＞Explore the best ways of fetching data from the backend systems＜/li＞＜li＞Learn the styling patterns and how to implement custom mobile designs＜/li＞＜li＞Explore the best ways to organize your application code in big codebases＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞The ideal target audience for this book are people eager to learn React Native design patterns who already know the basics of JavaScript. We can assume that the target audience already knows how to write Hello World in JavaScript and know what are the functions, recursive functions, JavaScript types and loops.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,631円
Hands-On Explainable AI (XAI) with Python Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps【電子書籍】[ Denis Rothman ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your apps and reporting interfaces.＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn explainable AI tools and techniques to process trustworthy AI results＜/li＞＜li＞Understand how to detect, handle, and avoid common issues with AI ethics and bias＜/li＞＜li＞Integrate fair AI into popular apps and reporting tools to deliver business value using Python and associated tools＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex.＜/p＞＜p＞Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications.＜/p＞＜p＞You will build XAI solutions in Python, TensorFlow 2, Google Cloud's XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle.＜/p＞＜p＞You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces.＜/p＞＜p＞By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Plan for XAI through the different stages of the machine learning life cycle＜/li＞＜li＞Estimate the strengths and weaknesses of popular open-source XAI applications＜/li＞＜li＞Examine how to detect and handle bias issues in machine learning data＜/li＞＜li＞Review ethics considerations and tools to address common problems in machine learning data＜/li＞＜li＞Share XAI design and visualization best practices＜/li＞＜li＞Integrate explainable AI results using Python models＜/li＞＜li＞Use XAI toolkits for Python in machine learning life cycles to solve business problems＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is not an introduction to Python programming or machine learning concepts. You must have some foundational knowledge and/or experience with machine learning libraries such as scikit-learn to make the most out of this book.＜/p＞＜p＞Some of the potential readers of this book include:＜/p＞＜ol＞＜li＞Professionals who already use Python for as data science, machine learning, research, and analysis＜/li＞＜li＞Data analysts and data scientists who want an introduction into explainable AI tools and techniques＜/li＞＜li＞AI Project managers who must face the contractual and legal obligations of AI Explainability for the acceptance phase of their applications＜/li＞＜/ol＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,198円
PYTHON: Practical Python Programming For Beginners & Experts With Hands-on Project【電子書籍】[ Mark Chan ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞PYTHONThe Ultimate Python One Day Quickstart Guide. Practical Python ＜em＞Programming For Beginners & Experts With Hands-on Project＜/em＞＜/strong＞＜/p＞＜p＞This book contains proven steps and strategies on how to learn Python programming in just a few days. While I don't profess to be able to make you a fully- fledged programmer in that time, my book is aimed at teaching you the basics of Python.＜/p＞＜p＞Why Python?＜/p＞＜p＞Why not C+, Swift, Ruby or Java?＜/p＞＜p＞There are a lot of very good computer programs out there and each has its pitfalls and its good side. Python is the easiest to learn and once you have a good grounding in it, you can move on to another, more complicated language.＜/p＞＜p＞Python is a beautiful computer language. It is simple, and it is intuitive. It comes complete with plenty of libraries and frameworks to help you manage most everything you want to do. And, to back it up, there is a very powerful Python community just waiting to help you out and point you in the right direction.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	350円
Introduction to Python Programming Learn Coding with Hands-On Projects for Beginners【電子書籍】[ Kiet Huynh ] 楽天Kobo電子書籍ストア	＜p＞Welcome to the exciting world of Python programming! ＜strong＞"Introduction to Python Programming: Learn Coding with Hands-On Projects for Beginners"＜/strong＞ is your gateway to the fascinating realm of coding. Whether you're a curious novice or a tech enthusiast, this book is designed to ignite your passion for coding with Python.＜/p＞＜p＞Embark on an interactive learning journey as we demystify the Python language and its applications through engaging hands-on projects. From basic syntax to advanced concepts, you'll discover the power and versatility of Python while honing your coding skills.＜/p＞＜p＞Through real-world examples and step-by-step guidance, you'll unravel the secrets of Python's simplicity and effectiveness. Unleash your creativity as you build practical projects and witness your code come to life.＜/p＞＜p＞Whether you dream of developing web applications, diving into data science, or exploring artificial intelligence, Python is your ultimate ally. Are you ready to embrace the art of programming and unlock endless possibilities? Let's dive in and make coding magic happen!＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	567円
Hands-On Design Patterns and Best Practices with Julia Proven solutions to common problems in software design for Julia 1.x【電子書籍】[ Tom Kwong ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore useful design patterns along with object-oriented programming in Julia 1.0＜/li＞＜li＞Implement macros and metaprogramming techniques to make your code faster, concise, and efficient＜/li＞＜li＞Develop the skills necessary to implement design patterns for creating robust and maintainable applications＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Design patterns are fundamental techniques for developing reusable and maintainable code. They provide a set of proven solutions that allow developers to solve problems in software development quickly. This book will demonstrate how to leverage design patterns with real-world applications.＜/p＞＜p＞Starting with an overview of design patterns and best practices in application design, you'll learn about some of the most fundamental Julia features such as modules, data types, functions/interfaces, and metaprogramming. You'll then get to grips with the modern Julia design patterns for building large-scale applications with a focus on performance, reusability, robustness, and maintainability. The book also covers anti-patterns and how to avoid common mistakes and pitfalls in development. You'll see how traditional object-oriented patterns can be implemented differently and more effectively in Julia. Finally, you'll explore various use cases and examples, such as how expert Julia developers use design patterns in their open source packages.＜/p＞＜p＞By the end of this Julia programming book, you'll have learned methods to improve software design, extensibility, and reusability, and be able to use design patterns efficiently to overcome common challenges in software development.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Master the Julia language features that are key to developing large-scale software applications＜/li＞＜li＞Discover design patterns to improve overall application architecture and design＜/li＞＜li＞Develop reusable programs that are modular, extendable, performant, and easy to maintain＜/li＞＜li＞Weigh up the pros and cons of using different design patterns for use cases＜/li＞＜li＞Explore methods for transitioning from object-oriented programming to using equivalent or more advanced Julia techniques＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for beginner to intermediate-level Julia programmers who want to enhance their skills in designing and developing large-scale applications.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,290円
Python For Beginners.Learn Data Science in 5 Days the Smart Way and Remember it Longer. With Easy Step by Step Guidance & Hands on Examples. (Python Crash Course-Programming for Beginners) Python for Beginners【電子書籍】[ Arthur T. Brooks ] 楽天Kobo電子書籍ストア	＜p＞Have you always wanted to learn computer programming but thought it was too difficult or would take too long?＜/p＞＜p＞Do you want to know the ＜strong＞secret＜/strong＞ to learning Python Data Science the ＜strong＞easy way＜/strong＞ and start programming ＜strong＞today＜/strong＞?＜/p＞＜p＞＜strong＞This book is for you.＜/strong＞＜/p＞＜p＞You don't need to waste your time and money learning Python the hard way through tiresome technical books, expensive online courses and difficult Python tutorials.＜/p＞＜p＞This non-technical book will gently guide you through…＜/p＞＜p＞＜strong＞The Python Data Science Language.＜/strong＞＜/p＞＜p＞You will learn the most concise methods to get you coding on day one-the smart way.＜/p＞＜p＞＜strong＞Python for Beginners.＜/strong＞＜/p＞＜p＞Beginner friendly hands on examples of practical and usable projects.＜/p＞＜p＞＜strong＞The most useful Python examples.＜/strong＞＜/p＞＜p＞Each example is specifically designed to give you a progressive and thorough understanding of key concepts and all answers are provided.＜/p＞＜p＞＜strong＞Strategic Python Data Science topics.＜/strong＞＜/p＞＜p＞The topics are presented in user friendly bite sized chunks to optimize a quick learning style which will also make it easy for you to remember.＜/p＞＜p＞This book is different in that it's primary focus it to teach you Python Data Science in a ＜strong＞simple＜/strong＞ and ＜strong＞concise＜/strong＞ format and in the ＜strong＞quickest＜/strong＞ time frame possible. Each short chapter has exercises at the end which summarize what you have learned in a progressive manner to avoid overloading you with information. Each exercise has been carefully chosen to enable you to master the language and retain what you have learned. No technical skills, previous knowledge or experience is required.＜/p＞＜p＞＜em＞Download it now buy clicking the ＜strong＞BUY＜/strong＞ button.＜/em＞＜/p＞＜p＞You'll also learn:＜/p＞＜ul＞＜li＞Exactly what is IPython?＜/li＞＜li＞What are the IPython keyboard shortcuts?＜/li＞＜li＞What are the IPython magic commands?＜/li＞＜li＞What is Numpy and how can I use it?＜/li＞＜li＞Numpy array attributes?＜/li＞＜li＞Advanced Ufunc Features?＜/li＞＜li＞Working with Boolean Arrays?＜/li＞＜li＞Boolean Operators?＜/li＞＜li＞Data Manipulation with Pandas?＜/li＞＜li＞Constructing Data Frame objects?＜/li＞＜li＞Data Selection in DataFrame?＜/li＞＜li＞Handling Missing Data?＜/li＞＜li＞Operations with Matplotlib?＜/li＞＜/ul＞＜p＞And more!＜/p＞＜p＞Finally, you will be gently guided on how to put everything that you have learned together so that you can immediately start your own Python coding in your chosen real-world scenarios.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	450円
Interpretable Machine Learning with Python Build explainable, fair, and robust high-performance models with hands-on, real-world examples【電子書籍】[ Serg Mas?s ] 楽天Kobo電子書籍ストア	＜p＞＜b＞A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and causal inference, to build fairer, safer, and more reliable models. Purchase of the print or Kindle book includes a free eBook in PDF format.＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Interpret real-world data, including cardiovascular disease data and the COMPAS recidivism scores＜/li＞＜li＞Build your interpretability toolkit with global, local, model-agnostic, and model-specific methods＜/li＞＜li＞Analyze and extract insights from complex models from CNNs to BERT to time series models＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models. Build your interpretability toolkit with several use cases, from flight delay prediction to waste classification to COMPAS risk assessment scores. This book is full of useful techniques, introducing them to the right use case. Learn traditional methods, such as feature importance and partial dependence plots to integrated gradients for NLP interpretations and gradient-based attribution methods, such as saliency maps. In addition to the step-by-step code, you’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. By the end of the book, you’ll be confident in tackling interpretability challenges with black-box models using tabular, language, image, and time series data.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Progress from basic to advanced techniques, such as causal inference and quantifying uncertainty＜/li＞＜li＞Build your skillset from analyzing linear and logistic models to complex ones, such as CatBoost, CNNs, and NLP transformers＜/li＞＜li＞Use monotonic and interaction constraints to make fairer and safer models＜/li＞＜li＞Understand how to mitigate the influence of bias in datasets＜/li＞＜li＞Leverage sensitivity analysis factor prioritization and factor fixing for any model＜/li＞＜li＞Discover how to make models more reliable with adversarial robustness＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for data scientists, machine learning developers, machine learning engineers, MLOps engineers, and data stewards who have an increasingly critical responsibility to explain how the artificial intelligence systems they develop work, their impact on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a good grasp of the Python programming language is needed to implement the examples.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,304円
Hands-On Web Scraping with Python Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others【電子書籍】[ Anish Chapagain ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques ＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn different scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup＜/li＞＜li＞Build scrapers and crawlers to extract relevant information from the web＜/li＞＜li＞Automate web scraping operations to bridge the accuracy gap and manage complex business needs＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs. By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Analyze data and information from web pages＜/li＞＜li＞Learn how to use browser-based developer tools from the scraping perspective＜/li＞＜li＞Use XPath and CSS selectors to identify and explore markup elements＜/li＞＜li＞Learn to handle and manage cookies＜/li＞＜li＞Explore advanced concepts in handling HTML forms and processing logins＜/li＞＜li＞Optimize web securities, data storage, and API use to scrape data＜/li＞＜li＞Use Regex with Python to extract data＜/li＞＜li＞Deal with complex web entities by using Selenium to find and extract data＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Python programmers, data analysts, web scraping newbies, and anyone who wants to learn how to perform web scraping from scratch. If you want to begin your journey in applying web scraping techniques to a range of web pages, then this book is what you need! A working knowledge of the Python programming language is expected. ＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,304円
Hands-On Gradient Boosting with XGBoost and scikit-learn Perform accessible machine learning and extreme gradient boosting with Python【電子書籍】[ Corey Wade ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Get to grips with building robust XGBoost models using Python and scikit-learn for deployment＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Get up and running with machine learning and understand how to boost models with XGBoost in no time＜/li＞＜li＞Build real-world machine learning pipelines and fine-tune hyperparameters to achieve optimal results＜/li＞＜li＞Discover tips and tricks and gain innovative insights from XGBoost Kaggle winners＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞XGBoost is an industry-proven, open-source software library that provides a gradient boosting framework for scaling billions of data points quickly and efficiently.＜/p＞＜p＞The book introduces machine learning and XGBoost in scikit-learn before building up to the theory behind gradient boosting. You'll cover decision trees and analyze bagging in the machine learning context, learning hyperparameters that extend to XGBoost along the way. You'll build gradient boosting models from scratch and extend gradient boosting to big data while recognizing speed limitations using timers. Details in XGBoost are explored with a focus on speed enhancements and deriving parameters mathematically. With the help of detailed case studies, you'll practice building and fine-tuning XGBoost classifiers and regressors using scikit-learn and the original Python API. You'll leverage XGBoost hyperparameters to improve scores, correct missing values, scale imbalanced datasets, and fine-tune alternative base learners. Finally, you'll apply advanced XGBoost techniques like building non-correlated ensembles, stacking models, and preparing models for industry deployment using sparse matrices, customized transformers, and pipelines.＜/p＞＜p＞By the end of the book, you'll be able to build high-performing machine learning models using XGBoost with minimal errors and maximum speed.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Build gradient boosting models from scratch＜/li＞＜li＞Develop XGBoost regressors and classifiers with accuracy and speed＜/li＞＜li＞Analyze variance and bias in terms of fine-tuning XGBoost hyperparameters＜/li＞＜li＞Automatically correct missing values and scale imbalanced data＜/li＞＜li＞Apply alternative base learners like dart, linear models, and XGBoost random forests＜/li＞＜li＞Customize transformers and pipelines to deploy XGBoost models＜/li＞＜li＞Build non-correlated ensembles and stack XGBoost models to increase accuracy＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for data science professionals and enthusiasts, data analysts, and developers who want to build fast and accurate machine learning models that scale with big data. Proficiency in Python, along with a basic understanding of linear algebra, will help you to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,880円
Hands-On Data Structures and Algorithms with Python Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition【電子書籍】[ Dr. Basant Agarwal ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficient＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore functional and reactive implementations of traditional and advanced data structures＜/li＞＜li＞Apply a diverse range of algorithms in your Python code＜/li＞＜li＞Implement the skills you have learned to maximize the performance of your applications＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You'll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer.＜/p＞＜p＞By the end of this Python book, you'll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand common data structures and algorithms using examples, diagrams, and exercises＜/li＞＜li＞Explore how more complex structures, such as priority queues and heaps, can benefit your code＜/li＞＜li＞Implement searching, sorting, and selection algorithms on number and string sequences＜/li＞＜li＞Become confident with key string-matching algorithms＜/li＞＜li＞Understand algorithmic paradigms and apply dynamic programming techniques＜/li＞＜li＞Use asymptotic notation to analyze algorithm performance with regard to time and space complexities＜/li＞＜li＞Write powerful, robust code using the latest features of Python＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for developers and programmers who are interested in learning about data structures and algorithms in Python to write complex, flexible programs. Basic Python programming knowledge is expected.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,540円
Hands-On High Performance Programming with Qt 5 Build cross-platform applications using concurrency, parallel programming, and memory management【電子書籍】[ Marek Krajewski ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Build efficient and fast Qt applications, target performance problems, and discover solutions to refine your code＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Build efficient and concurrent applications in Qt to create cross-platform applications＜/li＞＜li＞Identify performance bottlenecks and apply the correct algorithm to improve application performance＜/li＞＜li＞Delve into parallel programming and memory management to optimize your code＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance.＜/p＞＜p＞The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you'll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains.＜/p＞＜p＞By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand classic performance best practices＜/li＞＜li＞Get to grips with modern hardware architecture and its performance impact＜/li＞＜li＞Implement tools and procedures used in performance optimization＜/li＞＜li＞Grasp Qt-specific work techniques for graphical user interface (GUI) and platform programming＜/li＞＜li＞Make Transmission Control Protocol (TCP) and Hypertext Transfer Protocol (HTTP) performant and use the relevant Qt classes＜/li＞＜li＞Discover the improvements Qt 5.9 (and the upcoming versions) holds in store＜/li＞＜li＞Explore Qt's graphic engine architecture, strengths, and weaknesses＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is designed for Qt developers who wish to build highly performance applications for desktop and embedded devices. Programming Experience with C++ is required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円
Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise【電子書籍】[ Estelle Scifo ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learning＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Get up and running with graph analytics with the help of real-world examples＜/li＞＜li＞Explore various use cases such as fraud detection, graph-based search, and recommendation systems＜/li＞＜li＞Get to grips with the Graph Data Science library with the help of examples, and use Neo4j in the cloud for effective application scaling＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Neo4j is a graph database that includes plugins to run complex graph algorithms.＜/p＞＜p＞The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations. You'll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal complex relationships in your data. You'll be able to implement graph analytics catering to different domains such as fraud detection, graph-based search, recommendation systems, social networking, and data management. You'll also learn how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques, you'll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally, you'll get to grips with structuring a web application for production using Neo4j.＜/p＞＜p＞By the end of this book, you'll not only be able to harness the power of graphs to handle a broad range of problem areas, but you'll also have learned how to use Neo4j efficiently to identify complex relationships in your data.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Become well-versed with Neo4j graph database building blocks, nodes, and relationships＜/li＞＜li＞Discover how to create, update, and delete nodes and relationships using Cypher querying＜/li＞＜li＞Use graphs to improve web search and recommendations＜/li＞＜li＞Understand graph algorithms such as pathfinding, spatial search, centrality, and community detection＜/li＞＜li＞Find out different steps to integrate graphs in a normal machine learning pipeline＜/li＞＜li＞Formulate a link prediction problem in the context of machine learning＜/li＞＜li＞Implement graph embedding algorithms such as DeepWalk, and use them in Neo4j graphs＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for data analysts, business analysts, graph analysts, and database developers looking to store and process graph data to reveal key data insights. This book will also appeal to data scientists who want to build intelligent graph applications catering to different domains. Some experience with Neo4j is required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円
Hands-On Data Analysis with Pandas Efficiently perform data collection, wrangling, analysis, and visualization using Python【電子書籍】[ Stefanie Molin ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Get to grips with pandasーa versatile and high-performance Python library for data manipulation, analysis, and discovery＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Perform efficient data analysis and manipulation tasks using pandas＜/li＞＜li＞Apply pandas to different real-world domains using step-by-step demonstrations＜/li＞＜li＞Get accustomed to using pandas as an effective data exploration tool＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value.＜/p＞＜p＞Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data.＜/p＞＜p＞By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand how data analysts and scientists gather and analyze data＜/li＞＜li＞Perform data analysis and data wrangling in Python＜/li＞＜li＞Combine, group, and aggregate data from multiple sources＜/li＞＜li＞Create data visualizations with pandas, matplotlib, and seaborn＜/li＞＜li＞Apply machine learning (ML) algorithms to identify patterns and make predictions＜/li＞＜li＞Use Python data science libraries to analyze real-world datasets＜/li＞＜li＞Use pandas to solve common data representation and analysis problems＜/li＞＜li＞Build Python scripts, modules, and packages for reusable analysis code＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円
Hands-On GPU Programming with Python and CUDA Explore high-performance parallel computing with CUDA【電子書籍】[ Dr. Brian Tuomanen ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book.＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Expand your background in GPU programmingーPyCUDA, scikit-cuda, and Nsight＜/li＞＜li＞Effectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolver＜/li＞＜li＞Apply GPU programming to modern data science applications＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to “query” the GPU’s features and copy arrays of data to and from the GPU’s own memory.＜/p＞＜p＞As you make your way through the book, you’ll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You’ll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you’ll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS.＜/p＞＜p＞With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. You’ll then explore advanced topics, such as warp shuffling, dynamic parallelism, and PTX assembly. In the final chapter, you’ll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain.＜/p＞＜p＞By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Launch GPU code directly from Python＜/li＞＜li＞Write effective and efficient GPU kernels and device functions＜/li＞＜li＞Use libraries such as cuFFT, cuBLAS, and cuSolver＜/li＞＜li＞Debug and profile your code with Nsight and Visual Profiler＜/li＞＜li＞Apply GPU programming to datascience problems＜/li＞＜li＞Build a GPU-based deep neuralnetwork from scratch＜/li＞＜li＞Explore advanced GPU hardware features, such as warp shuffling＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞Hands-On GPU Programming with Python and CUDA is for developers and data scientists who want to learn the basics of effective GPU programming to improve performance using Python code. You should have an understanding of first-year college or university-level engineering mathematics and physics, and have some experience with Python as well as in any C-based programming language such as C, C++, Go, or Java.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,085円
Interpretable Machine Learning with Python Learn to build interpretable high-performance models with hands-on real-world examples【電子書籍】[ Serg Mas?s ] 楽天Kobo電子書籍ストア	＜p＞＜b＞A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable models＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn how to extract easy-to-understand insights from any machine learning model＜/li＞＜li＞Become well-versed with interpretability techniques to build fairer, safer, and more reliable models＜/li＞＜li＞Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Do you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf. We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining. By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning. ＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Recognize the importance of interpretability in business＜/li＞＜li＞Study models that are intrinsically interpretable such as linear models, decision trees, and Na?ve Bayes＜/li＞＜li＞Become well-versed in interpreting models with model-agnostic methods＜/li＞＜li＞Visualize how an image classifier works and what it learns＜/li＞＜li＞Understand how to mitigate the influence of bias in datasets＜/li＞＜li＞Discover how to make models more reliable with adversarial robustness＜/li＞＜li＞Use monotonic constraints to make fairer and safer models＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is primarily written for data scientists, machine learning developers, and data stewards who find themselves under increasing pressures to explain the workings of AI systems, their impacts on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a solid grasp on the Python programming language and ML fundamentals is needed to follow along.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,734円
Web Development with Julia and Genie A hands-on guide to high-performance server-side web development with the Julia programming language【電子書籍】[ Ivo Balbaert ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Get a practical overview of web development in Julia and learn how to build MVC applications with a REST API, and an interactive data dashboard using the Genie web framework＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞A tutorial on web development from Julia expert, Ivo Balbaert and the creator of the Genie framework, Adrian Salceanu＜/li＞＜li＞A step-by-step approach to building a complete web app with the Genie framework＜/li＞＜li＞Develop secure and fast web apps using server-side development on Julia＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Julia's high-performance and scalability characteristics and its extensive number of packages for visualizing data make it an excellent fit for developing web apps, web services, and web dashboards. The two parts of this book provide complete coverage to build your skills in web development.＜/p＞＜p＞First, you'll refresh your knowledge of the main concepts in Julia that will further be used in web development. Then, you'll use Julia's standard web packages and examine how the building blocks of the web such as TCP-IP, web sockets, HTTP protocol, and so on are implemented in Julia's standard library. Each topic is discussed and developed into code that you can apply in new projects, from static websites to dashboards. You'll also understand how to choose the right Julia framework for a project. The second part of the book talks about the Genie framework. You'll learn how to build a traditional to do app following the MVC design pattern. Next, you'll add a REST API to this project, including testing and documentation. Later, you'll explore the various ways of deploying an app in production, including authentication functionality. Finally, you'll work on an interactive data dashboard, making various chart types and filters.＜/p＞＜p＞By the end of this book, you'll be able to build interactive web solutions on a large scale with a Julia-based web framework.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand how to make a web server with HTTP.jl and work with JSON data over the web＜/li＞＜li＞Discover how to build a static website with the Franklin framework＜/li＞＜li＞Explore Julia web development frameworks and work with them＜/li＞＜li＞Uncover the Julia infrastructure for development, testing, package management, and deployment＜/li＞＜li＞Develop an MVC web app with the Genie framework＜/li＞＜li＞Understand how to add a REST API to a web app＜/li＞＜li＞Create an interactive data dashboard with charts and filters＜/li＞＜li＞Test, document, and deploy maintainable web applications using Julia＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for beginner to intermediate-level Julia programmers who want to enhance their skills in designing and developing large-scale web applications. The book helps you adopt Genie without any prior experience with the framework. Julia programming experience and a beginner-level understanding of web development concepts are required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,631円
Hands-On AWS Penetration Testing with Kali Linux Set up a virtual lab and pentest major AWS services, including EC2, S3, Lambda, and CloudFormation【電子書籍】[ Karl Gilbert ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Identify tools and techniques to secure and perform a penetration test on an AWS infrastructure using Kali Linux＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Efficiently perform penetration testing techniques on your public cloud instances＜/li＞＜li＞Learn not only to cover loopholes but also to automate security monitoring and alerting within your cloud-based deployment pipelines＜/li＞＜li＞A step-by-step guide that will help you leverage the most widely used security platform to secure your AWS Cloud environment＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞The cloud is taking over the IT industry. Any organization housing a large amount of data or a large infrastructure has started moving cloud-ward ー and AWS rules the roost when it comes to cloud service providers, with its closest competitor having less than half of its market share. This highlights the importance of security on the cloud, especially on AWS. While a lot has been said (and written) about how cloud environments can be secured, performing external security assessments in the form of pentests on AWS is still seen as a dark art.＜/p＞＜p＞This book aims to help pentesters as well as seasoned system administrators with a hands-on approach to pentesting the various cloud services provided by Amazon through AWS using Kali Linux. To make things easier for novice pentesters, the book focuses on building a practice lab and refining penetration testing with Kali Linux on the cloud. This is helpful not only for beginners but also for pentesters who want to set up a pentesting environment in their private cloud, using Kali Linux to perform a white-box assessment of their own cloud resources. Besides this, there is a lot of in-depth coverage of the large variety of AWS services that are often overlooked during a pentest ー from serverless infrastructure to automated deployment pipelines.＜/p＞＜p＞By the end of this book, you will be able to identify possible vulnerable areas efficiently and secure your AWS cloud environment.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Familiarize yourself with and pentest the most common external-facing AWS services＜/li＞＜li＞Audit your own infrastructure and identify flaws, weaknesses, and loopholes＜/li＞＜li＞Demonstrate the process of lateral and vertical movement through a partially compromised AWS account＜/li＞＜li＞Maintain stealth and persistence within a compromised AWS account＜/li＞＜li＞Master a hands-on approach to pentesting＜/li＞＜li＞Discover a number of automated tools to ease the process of continuously assessing and improving the security stance of an AWS infrastructure＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are a security analyst or a penetration tester and are interested in exploiting Cloud environments to reveal vulnerable areas and secure them, then this book is for you.＜/p＞＜p＞A basic understanding of penetration testing, cloud computing, and its security concepts is mandatory.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円