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| 商品 | 説明 | 価格 |
|---|---|---|
 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 |
 Hands-On Machine Learning for Algorithmic Trading Design and implement investment strategies based on smart algorithms that learn from data using Python【電子書籍】[ Stefan Jansen ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Implement machine learning algorithms to build, train, and validate algorithmic models＜/li＞ ＜li＞Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions＜/li＞ ＜li＞Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.＜/p＞ ＜p＞This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You'll practice the ML workflow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies.＜/p＞ ＜p＞Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Implement machine learning techniques to solve investment and trading problems＜/li＞ ＜li＞Leverage market, fundamental, and alternative data to research alpha factors＜/li＞ ＜li＞Design and fine-tune supervised, unsupervised, and reinforcement learning models＜/li＞ ＜li＞Optimize portfolio risk and performance using pandas, NumPy, and scikit-learn＜/li＞ ＜li＞Integrate machine learning models into a live trading strategy on Quantopian＜/li＞ ＜li＞Evaluate strategies using reliable backtesting methodologies for time series＜/li＞ ＜li＞Design and evaluate deep neural networks using Keras, PyTorch, and TensorFlow＜/li＞ ＜li＞Work with reinforcement learning for trading strategies in the OpenAI Gym＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques 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。 | 4,765円 |
 Hands-On Data Structures and Algorithms with Python Write complex and powerful code using the latest features of Python 3.7, 2nd Edition【電子書籍】[ Dr. Basant Agarwal ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Learn to implement complex data structures and algorithms using Python＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Understand the analysis and design of fundamental Python data structures＜/li＞ ＜li＞Explore advanced Python concepts such as Big O notation and dynamic programming＜/li＞ ＜li＞Learn functional and reactive implementations of traditional data structures＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications.＜/p＞ ＜p＞This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way. You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail.＜/p＞ ＜p＞By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. You will get insights into Python implementation of all the important and relevant algorithms.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand object representation, attribute binding, and data encapsulation＜/li＞ ＜li＞Gain a solid understanding of Python data structures using algorithms＜/li＞ ＜li＞Study algorithms using examples with pictorial representation＜/li＞ ＜li＞Learn complex algorithms through easy explanation, implementing Python＜/li＞ ＜li＞Build sophisticated and efficient data applications in Python＜/li＞ ＜li＞Understand common programming algorithms used in Python data science＜/li＞ ＜li＞Write efficient and robust code in Python 3.7＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for developers who want to learn data structures and algorithms in Python to write complex and 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。 | 3,631円 |
 Hands-On Geospatial Analysis with R and QGIS A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2【電子書籍】[ Shammunul Islam ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Understand the basics of R and QGIS to work with GIS and remote sensing data＜/li＞ ＜li＞Learn to manage, manipulate, and analyze spatial data using R and QGIS＜/li＞ ＜li＞Apply machine learning algorithms to geospatial data using R and QGIS＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.＜/p＞ ＜p＞This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.＜/p＞ ＜p＞Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms.＜/p＞ ＜p＞By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Install R and QGIS＜/li＞ ＜li＞Get familiar with the basics of R programming and QGIS＜/li＞ ＜li＞Visualize quantitative and qualitative data to create maps＜/li＞ ＜li＞Find out the basics of raster data and how to use them in R and QGIS＜/li＞ ＜li＞Perform geoprocessing tasks and automate them using the graphical modeler of QGIS＜/li＞ ＜li＞Apply different machine learning algorithms on satellite data for landslide susceptibility mapping and prediction＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.＜/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 |
 Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming PYTHON CRASH COURSE 3RD /E [ Eric Matthes ] 楽天ブックス | PYTHON CRASH COURSE 3RD /E Eric Matthes NO STARCH PR2023 Paperback English ISBN：9781718502703 洋書 Computers & Science（コンピューター＆科学） Computers | 7,920円 |
 Hands-On Unity 2022 Game Development Learn to use the latest Unity 2022 features to create your first video game in the simplest way possible, 3rd Edition【電子書籍】[ Nicolas Alejandro Borromeo ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Create, customize, and optimize your own professional games from scratch with Unity 2022＜/strong＞＜/p＞ ＜p＞＜strong＞Includes invitation to join the online Unity Game Development community to read the book alongside Unity developers/C# programmers and Nicolas Borromeo.＜/strong＞＜/p＞ ＜p＞＜strong＞Purchase of the print or Kindle book includes a free eBook in PDF format.＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Create the game prototype and learn the fundamentals of Unity editor to build scenes, objects and import objects＜/li＞ ＜li＞Add interactivity, win/lose conditions, sound, graphics and artificial intelligence using C# and visual scripting＜/li＞ ＜li＞Improve the game graphics, user interface, add visual effects and animations using Animator, Cinemachine, and Timeline＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Unity is a cross-platform game engine that provides you with powerful but simple-to-use features to solve the most common problems in Game Development, such as rendering, animation, physics, sound, and effects. You'll learn to use these features to create simple but complete games (and all the nuances needed to handle Unity).＜/p＞ ＜p＞Complete with hands-on tutorials and projects, this book will teach you to use the Unity game engine, create C# and visual scripts, integrate graphics, sound, and animations, and manipulate physics to create interesting mechanics for your game. You'll then code a simple AI agent to challenge the user and work with profiling tools to ensure code efficiency.＜/p＞ ＜p＞Finally, you'll work with Unity's AR tools to create AR experiences for 3D apps and games before publishing them to the world.＜/p＞ ＜p＞If you are interested in creating impressive, commercial-quality games that are playable on a variety of platforms, then you've come to the right place.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Build a game prototype that includes gameplay, player and non-player characters, assets, animations, and more＜/li＞ ＜li＞Set up and navigate the game engine to dive into the Unity Editor and discover unique and new features released in 2022＜/li＞ ＜li＞Learn both C# and Visual Scripting to customize player movements, the user interface, and game physics＜/li＞ ＜li＞Apply shaders to improve your game graphics using Shader Graph and Universal Render Pipeline (URP)＜/li＞ ＜li＞Create win-lose conditions for the game by using design patterns such as Singleton and Event Listeners＜/li＞ ＜li＞Implement Game AI to build a fully functional enemy capable of detecting and attacking the player＜/li＞ ＜li＞Debug, test, optimize, and create an executable version of the game to share with your friends＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞Both game and non-game developers who wish to migrate or start building 3D games in Unity will find this book useful. While you'll still able to follow along if you don't have any programming experience, knowing the fundamentals of C# programming will help you 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。 | 4,085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 |
 Arduino Mega 2560 A Hands-On Guide for Beginner【電子書籍】[ Agus Kurniawan ] 楽天Kobo電子書籍ストア | ＜p＞This book helps you to get started with Arduino Mega 2560 development using Sketch program. The following is a list of highlight topics in this book:＜/p＞ ＜ul＞ ＜li＞Preparing Development Environment＜/li＞ ＜li＞Setting Up Arduino Mega 2560＜/li＞ ＜li＞Writing and Reading Digital Data＜/li＞ ＜li＞Serial Communication (UART)＜/li＞ ＜li＞PWM and Analog Input＜/li＞ ＜li＞Working with I2C＜/li＞ ＜li＞Working with SPI＜/li＞ ＜li＞Accessing EEPROM＜/li＞ ＜li＞Sensing Temperature and Humidity with DHT Module＜/li＞ ＜/ul＞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。 | 251円 |
 Hands-On Microsoft Teams A practical guide to enhancing enterprise collaboration with Microsoft Teams and Office 365【電子書籍】[ Jo?o Ferreira ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞(A new edition with enhanced coverage is now available) A complete guide on Teams filled with real-world scenarios and best practices to increase productivity and engagement＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Interactive approach to learn the key concepts of Teams and its implementation in modern workplace＜/li＞＜li＞Discover tips and techniques for extending Teams to meet your business requirements＜/li＞＜li＞Integrate Teams with various Microsoft services such as PowerShell, SharePoint, PowerApps, and Power Automate＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Microsoft Teams is a platform for unified communication in modern workplaces. It not only enables effective communication, but also helps you manage your resources through its integration with various Microsoft Office 365 services. This book offers a comprehensive introduction to the platform, getting you up to speed in no time. Complete with hands-on tutorials, and projects, this easy-to-follow guide will teach you how to use Teams in the best possible way. Starting with the basic concepts that will help you collaborate on Teams, this book takes you through expert techniques for creating and managing teams. A dedicated section also features industry practices to help enhance collaboration in modern workplaces. In later chapters, you’ll explore Microsoft services such as SharePoint, PowerApps, Power Automate, and learn how they interact with Microsoft Teams. You’ll also get to grips with dealing with permissions and security issues in managing private and public teams and channels. Along the way, you’ll discover practical scenarios that will help you improve the collaboration in your organization and increase productivity by using Teams features. By the end of this book, you’ll have hands-on experience of using Microsoft Teams, along with the skills you need to improve the way people collaborate in your organization.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Create teams, channels, and tabs in Microsoft Teams＜/li＞＜li＞Explore the Teams architecture and various Office 365 components included in Teams＜/li＞＜li＞Perform scheduling, and managing meetings and live events in Teams＜/li＞＜li＞Configure and manage apps in Teams＜/li＞＜li＞Design automated scripts for managing a Teams environment using PowerShell＜/li＞＜li＞Build your own Microsoft Teams app without writing code＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This Microsoft Teams book is for power users and business professionals looking to use Teams for improving collaboration in an enterprise environment. The book will also be useful for Office 365 administrators interested in implementing Microsoft Teams effectively by learning about and exploring expert tips and best practices to ensure good governance.＜/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 |
 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 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 RTOS with Microcontrollers Building real-time embedded systems using FreeRTOS, STM32 MCUs, and SEGGER debug tools【電子書籍】[ Brian Amos ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Build a strong foundation in designing and implementing real-time systems with the help of practical examples＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Get up and running with the fundamentals of RTOS and apply them on STM32＜/li＞＜li＞Enhance your programming skills to design and build real-world embedded systems＜/li＞＜li＞Get to grips with advanced techniques for implementing embedded systems＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞A real-time operating system (RTOS) is used to develop systems that respond to events within strict timelines. Real-time embedded systems have applications in various industries, from automotive and aerospace through to laboratory test equipment and consumer electronics. These systems provide consistent and reliable timing and are designed to run without intervention for years. This microcontrollers book starts by introducing you to the concept of RTOS and compares some other alternative methods for achieving real-time performance. Once you've understood the fundamentals, such as tasks, queues, mutexes, and semaphores, you'll learn what to look for when selecting a microcontroller and development environment. By working through examples that use an STM32F7 Nucleo board, the STM32CubeIDE, and SEGGER debug tools, including SEGGER J-Link, Ozone, and SystemView, you'll gain an understanding of preemptive scheduling policies and task communication. The book will then help you develop highly efficient low-level drivers and analyze their real-time performance and CPU utilization. Finally, you'll cover tips for troubleshooting and be able to take your new-found skills to the next level. By the end of this book, you'll have built on your embedded system skills and will be able to create real-time systems using microcontrollers and FreeRTOS.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand when to use an RTOS for a project＜/li＞＜li＞Explore RTOS concepts such as tasks, mutexes, semaphores, and queues＜/li＞＜li＞Discover different microcontroller units (MCUs) and choose the best one for your project＜/li＞＜li＞Evaluate and select the best IDE and middleware stack for your project＜/li＞＜li＞Use professional-grade tools for analyzing and debugging your application＜/li＞＜li＞Get FreeRTOS-based applications up and running on an STM32 board＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for embedded engineers, students, or anyone interested in learning the complete RTOS feature set with embedded devices. A basic understanding of the C programming language and embedded systems or microcontrollers will be helpful.＜/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 |
 Hands-On Predictive Analytics with Python Master the complete predictive analytics process, from problem definition to model deployment【電子書籍】[ Alvaro Fuentes ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Step-by-step guide to build high performing predictive applications＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects＜/li＞ ＜li＞Explore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanations＜/li＞ ＜li＞Learn to deploy a predictive model's results as an interactive application＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This book provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages.＜/p＞ ＜p＞The book's step-by-step approach starts by defining the problem and moves on to identifying relevant data. We will also be performing data preparation, exploring and visualizing relationships, building models, tuning, evaluating, and deploying model.＜/p＞ ＜p＞Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seaborn, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics.＜/p＞ ＜p＞By the end of this book, you will be all set to build high-performance predictive analytics solutions using Python programming.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Get to grips with the main concepts and principles of predictive analytics＜/li＞ ＜li＞Learn about the stages involved in producing complete predictive analytics solutions＜/li＞ ＜li＞Understand how to define a problem, propose a solution, and prepare a dataset＜/li＞ ＜li＞Use visualizations to explore relationships and gain insights into the dataset＜/li＞ ＜li＞Learn to build regression and classification models using scikit-learn＜/li＞ ＜li＞Use Keras to build powerful neural network models that produce accurate predictions＜/li＞ ＜li＞Learn to serve a model's predictions as a web application＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and would like to implement predictive analytics solutions using Python's data stack. People from other backgrounds who would like to enter this exciting field will greatly benefit from reading this book. All you need is to be proficient in Python programming and have a basic understanding of statistics and college-level algebra.＜/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 |
 Hands-On Deep Learning for Games Leverage the power of neural networks and reinforcement learning to build intelligent games【電子書籍】[ Micheal Lanham ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Apply the power of deep learning to complex reasoning tasks by building a Game AI＜/li＞ ＜li＞Exploit the most recent developments in machine learning and AI for building smart games＜/li＞ ＜li＞Implement deep learning models and neural networks with Python＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development.＜/p＞ ＜p＞We will take a look at the foundations of multi-layer perceptron's to using convolutional and recurrent networks. In applications from GANs that create music or textures to self-driving cars and chatbots. Then we introduce deep reinforcement learning through the multi-armed bandit problem and other OpenAI Gym environments.＜/p＞ ＜p＞As we progress through the book we will gain insights about DRL techniques such as Motivated Reinforcement Learning with Curiosity and Curriculum Learning. We also take a closer look at deep reinforcement learning and in particular the Unity ML-Agents toolkit. By the end of the book, we will look at how to apply DRL and the ML-Agents toolkit to enhance, test and automate your games or simulations. Finally, we will cover your possible next steps and possible areas for future learning.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Learn the foundations of neural networks and deep learning.＜/li＞ ＜li＞Use advanced neural network architectures in applications to create music, textures, self driving cars and chatbots.＜/li＞ ＜li＞Understand the basics of reinforcement and DRL and how to apply it to solve a variety of problems.＜/li＞ ＜li＞Working with Unity ML-Agents toolkit and how to install, setup and run the kit.＜/li＞ ＜li＞Understand core concepts of DRL and the differences between discrete and continuous action environments.＜/li＞ ＜li＞Use several advanced forms of learning in various scenarios from developing agents to testing games.＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This books is for game developers who wish to create highly interactive games by leveraging the power of machine and deep learning. No prior knowledge of machine learning, deep learning or neural networks is required this book will teach those concepts from scratch. A good understanding of Python 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。 | 3,290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 |
 Hands-On Unity 2020 Game Development Build, customize, and optimize professional games using Unity 2020 and C#【電子書籍】[ Nicolas Alejandro Borromeo ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Build immersive game experiences using the new Unity 2020 features with this practical guide＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Unleash the capabilities of C# scripting for creating immersive UI, graphics, Game AI agents and much more＜/li＞ ＜li＞Explore Unity's latest tools, including Universal Render Pipeline, Shader Graph, and VFX graph, to enhance graphics and animation＜/li＞ ＜li＞Get started with building augmented reality experience using Unity's AR Foundation＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Over the years, the Unity game engine has extended its scope from just being about creating video games to building AR/VR experiences, complex simulations, real-time realistic rendering, films, and serious games for training and education. Its features for implementing gameplay, graphics, and customization using C# programming make Unity a comprehensive platform for developing professional-level, rich experiences.＜/p＞ ＜p＞With this book, you'll be able to build impressive Unity projects in a step-by-step manner and apply your knowledge of Unity concepts to create a real-world game. Complete with hands-on tutorials and projects, this easy-to-follow guide will show you how to develop your first complete game using a variety of Unity tools. As you make progress, you'll learn how to make the most of the Unity Editor and create scripts using the C# programming language. This Unity game development book will then take you through integrating graphics, sound, and animations and manipulating physics to create impressive mechanics for your games. You'll also learn how to code a simple AI agent to challenge the user and use profiling tools to ensure that the code runs in a performant way. Finally, you'll get to grips with Unity's AR Foundation for creating AR experiences for 3D apps and games.＜/p＞ ＜p＞By the end of this book, you'll have developed a complete game and will have built a solid foundation using Unity's tooling ecosystem to develop game projects of any scale.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Write scripts for customizing various aspects of a game, such as physics, gameplay, and UI＜/li＞ ＜li＞Program rich shaders and effects using Unity's new Shader Graph and Universal Render Pipeline＜/li＞ ＜li＞Implement postprocessing to increase graphics quality with full-screen effects＜/li＞ ＜li＞Create rich particle systems for your Unity games from scratch using VFX Graph and Shuriken＜/li＞ ＜li＞Add animations to your game using the Animator, Cinemachine, and Timeline＜/li＞ ＜li＞Implement game artificial intelligence (AI) to control character behavior＜/li＞ ＜li＞Detect and fix optimization issues using profilers and batching＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for game developers looking to migrate to the Unity game engine. If you are a developer with some exposure to Unity, this book will help you explore its latest features. Prior experience with C# programming is required to get the most out of the 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 |
 Hands-On Smart Contract Development with Solidity and Ethereum From Fundamentals to Deployment【電子書籍】[ Kevin Solorio ] 楽天Kobo電子書籍ストア | ＜p＞Ready to dive into smart contract development for the blockchain? With this practical guide, experienced engineers and beginners alike will quickly learn the entire process for building smart contracts for Ethereum--the open source blockchain-based distributed computing platform. You'llget up to speed with the fundamentals and quickly move into builder mode.＜/p＞ ＜p＞Kevin Solorio, Randall Kanna, and Dave Hoover show you how to create and test your own smart contract, create a frontend for users to interact with, and more. It's the perfect resource for people who want to break into the smart contract field but don't know where to start.＜/p＞ ＜p＞In four parts, this book helps you:＜/p＞ ＜ul＞ ＜li＞Explore smart contract fundamentals, including the Ethereum protocol, Solidity programming language, and the Ethereum Virtual Machine＜/li＞ ＜li＞Dive into smart contract development using Solidity and gain experience with Truffle framework tools for deploying and testing your contracts＜/li＞ ＜li＞Use Web3 to connect your smart contracts to an applicationso users can easily interact with the blockchain＜/li＞ ＜li＞Examine smart contract security along with free online resources for smart contract security auditing＜/li＞ ＜/ul＞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。 | 4,611円 |
 The Scrapbooking Journey A Hands-On Guide to Spiritual Discovery【電子書籍】[ Cory Richardson-Lauve ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Take up your scrapbooking in a whole new state of mindーand spirit.＜/strong＞＜/p＞ ＜p＞When I scrapbook, I feel empowered and connected and hopeful. I feel grateful and content and stimulated. In the process of scrapbooking, I feel the closest to my essential self, and to God.＜br /＞ ーfrom the Introduction＜/p＞ ＜p＞In this imaginative, creative resource, award-winning scrapbook designer Cory Richardson-Lauve leads you on a celebration of the divine connection you can experience through scrapbooking. Weaving her own insights, techniques and artwork with the reflections and layouts of other professional scrapbookers and the wisdom of spiritual thinkers, Richardson-Lauve reveals how this innovative and dynamic craft can become a practice used to deepen and shape your life.＜/p＞ ＜p＞Each chapter includes an original scrapbooking project with dozens of variationsーfor both cut-and-paste and digital artists, beginning scrapbookers and published designers alikeーthat helps you explore a theme essential to both your designs and your spirituality.＜/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。 | 2,028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 |
 SolidityとEthereumによる実践スマートコントラクト開発 Truffle Suiteを用いた開発の基礎からデプロイまで / 原タイトル:Hands‐On Smart Contract Development with Solidity and Ethereum[本/雑誌] / KevinSolorio/著 RandallKanna/著 DavidH.Hoover/著 中城元臣/監訳 ク ネオウィング 楽天市場店 | ご注文前に必ずご確認ください＜商品説明＞最速!初めてのブロックチェーン開発。基礎知識は最小限に。実践モードにすぐ入れる。人気の高いTruffleフレームワークを採用。実際のアプリ開発過程をたどりながら、わかりやすく解説。＜収録内容＞第1部 イーサリアムブロックチェーンの紹介(ブロックチェーンの概念非中央集権アプリケーション ほか)第2部 スマートコントラクトの開発(初めてのスマートコントラクトコントラクトのデプロイと操作 ほか)第3部 Web3を使ったスマートコントラクトの操作(Web3とは何かUIをコントラクトに接続する ほか)第4部 スマートコントラクトの保護(スマートコントラクトのセキュリティ)＜商品詳細＞商品番号：NEOBK-2575991KevinSolorio / Cho RandallKanna / Cho DavidH. Hoover / Cho Nakashiro Motomi / Kanyaku Ku Ipu / Yaku / Solidity to Ethereum Niyoru Jissen Smart Contract Kaihatsu Truffle Suite Wo Mochita Kaihatsu No Kiso Kara De Professional I Made / Hara Title : Hands on Smart Contract Development with Solidity and Ethereumメディア：本/雑誌重量：455g発売日：2021/01JAN：9784873119342SolidityとEthereumによる実践スマートコントラクト開発 Truffle Suiteを用いた開発の基礎からデプロイまで / 原タイトル:Hands‐On Smart Contract Development with Solidity and Ethereum[本/雑誌] / KevinSolorio/著 RandallKanna/著 DavidH.Hoover/著 中城元臣/監訳 クイープ/訳2021/01発売 | 3,740円 |
 Hands-On Agronomy【電子書籍】[ Neal Kinsey ] 楽天Kobo電子書籍ストア | ＜p＞The soil is more than just a substrate that anchors crops in place. An ecologically balanced soil system is essential for maintaining healthy crops. Hands-On Agronomy is a comprehensive manual on effective soil fertility management providing many on-farm examples to illustrate the various principles and how to use them. The function of micronutrients, earthworms, soil drainage, tilth, soil structure, and organic matter is explained in thorough detail. Kinsey demonstrates that working with the soil produces healthier crops with a higher yield. To that end, he provides an understanding of eco-agriculture as a viable enterprise that is both naturally and commercially sustainable. This work offers advice that is both highly valuable and applicable to the farmer of any level and promotes an ecological understanding of the farm from the ground up.＜/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。 | 1,334円 |
 Hands-On Bible-NLT-Paper Airplane B-NL-TYN BLU PAPER AIRPLANE [ Tyndale ] 楽天ブックス | BーNLーTYN BLU PAPER AIRPLANE Tyndale Group Publishing TYNDALE HOUSE PUBL2014 Imitation Leather Updated English ISBN：9781414398532 洋書 NonーClassifiable（その他） | 6,336円 |
 Hands-on Nuxt.js Web Development Build universal and static-generated Vue.js applications using Nuxt.js【電子書籍】[ Lau Tiam Kok ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Learn Nuxt.js for building server-side rendered, static-generated, and production-ready Vue.js web applications with the help of practical examples＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Explore techniques for authentication, testing, and deployment to build your first complete Nuxt.js web app＜/li＞ ＜li＞Write cleaner, maintainable, and scalable isomorphic JavaScript web applications＜/li＞ ＜li＞Transform your Vue.js application into universal and static-generated web apps＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Nuxt.js is a progressive web framework built on top of Vue.js for server-side rendering (SSR). With Nuxt.js and Vue.js, building universal and static-generated applications from scratch is now easier than ever before.＜/p＞ ＜p＞This book starts with an introduction to Nuxt.js and its constituents as a universal SSR framework. You'll learn the fundamentals of Nuxt.js and find out how you can integrate it with the latest version of Vue.js. You'll then explore the Nuxt.js directory structure and set up your first Nuxt.js project using pages, views, routing, and Vue components. With the help of practical examples, you'll learn how to connect your Nuxt.js application with the backend API by exploring your Nuxt.js application's configuration, plugins, modules, middleware, and the Vuex store. The book shows you how you can turn your Nuxt.js application into a universal or static-generated application by working with REST and GraphQL APIs over HTTP requests. Finally, you'll get to grips with security techniques using authorization, package your Nuxt.js application for testing, and deploy it to production.＜/p＞ ＜p＞By the end of this web development book, you'll have developed a solid understanding of using Nuxt.js for your projects and be able to build secure, end-to-end tested, and scalable web applications with SSR, data handling, and SEO capabilities.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Integrate Nuxt.js with the latest version of Vue.js＜/li＞ ＜li＞Extend your Vue.js applications using Nuxt.js pages, components, routing, middleware, plugins, and modules＜/li＞ ＜li＞Create a basic real-time web application using Nuxt.js, Node.js, Koa.js and RethinkDB＜/li＞ ＜li＞Develop universal and static-generated web applications with Nuxt.js, headless CMS and GraphQL＜/li＞ ＜li＞Build Node.js and PHP APIs from scratch with Koa.js, PSRs, GraphQL, MongoDB and MySQL＜/li＞ ＜li＞Secure your Nuxt.js applications with the JWT authentication＜/li＞ ＜li＞Discover best practices for testing and deploying your Nuxt.js applications＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞The book is for any JavaScript or full-stack developer who wants to build server-side rendered Vue.js apps. A basic understanding of the Vue.js framework will assist with understanding key concepts covered in the 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。 | 3,858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 |
 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 Image Generation with TensorFlow A practical guide to generating images and videos using deep learning【電子書籍】[ Soon Yau Cheong ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Understand the different architectures for image generation, including autoencoders and GANs＜/li＞ ＜li＞Build models that can edit an image of your face, turn photos into paintings, and generate photorealistic images＜/li＞ ＜li＞Discover how you can build deep neural networks with advanced TensorFlow 2.x features＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞The emerging field of Generative Adversarial Networks (GANs) has made it possible to generate indistinguishable images from existing datasets. With this hands-on book, you'll not only develop image generation skills but also gain a solid understanding of the underlying principles.＜/p＞ ＜p＞Starting with an introduction to the fundamentals of image generation using TensorFlow, this book covers Variational Autoencoders (VAEs) and GANs. You'll discover how to build models for different applications as you get to grips with performing face swaps using deepfakes, neural style transfer, image-to-image translation, turning simple images into photorealistic images, and much more. You'll also understand how and why to construct state-of-the-art deep neural networks using advanced techniques such as spectral normalization and self-attention layer before working with advanced models for face generation and editing. You'll also be introduced to photo restoration, text-to-image synthesis, video retargeting, and neural rendering. Throughout the book, you'll learn to implement models from scratch in TensorFlow 2.x, including PixelCNN, VAE, DCGAN, WGAN, pix2pix, CycleGAN, StyleGAN, GauGAN, and BigGAN.＜/p＞ ＜p＞By the end of this book, you'll be well versed in TensorFlow and be able to implement image generative technologies confidently.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Train on face datasets and use them to explore latent spaces for editing new faces＜/li＞ ＜li＞Get to grips with swapping faces with deepfakes＜/li＞ ＜li＞Perform style transfer to convert a photo into a painting＜/li＞ ＜li＞Build and train pix2pix, CycleGAN, and BicycleGAN for image-to-image translation＜/li＞ ＜li＞Use iGAN to understand manifold interpolation and GauGAN to turn simple images into photorealistic images＜/li＞ ＜li＞Become well versed in attention generative models such as SAGAN and BigGAN＜/li＞ ＜li＞Generate high-resolution photos with Progressive GAN and StyleGAN＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞The Hands-On Image Generation with TensorFlow book is for deep learning engineers, practitioners, and researchers who have basic knowledge of convolutional neural networks and want to learn various image generation techniques using TensorFlow 2.x. You'll also find this book useful if you are an image processing professional or computer vision engineer looking to explore state-of-the-art architectures to improve and enhance images and videos. Knowledge of Python and TensorFlow will help you to get the best 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。 | 4,198円 |
 Hands-On Microsoft Lists Create custom data models and improve the way data is organized using Lists in Microsoft 365【電子書籍】[ Joao Ferreira ] 楽天Kobo電子書籍ストア | ＜p＞Prepare to be a Microsoft Lists advocate and transform the way data is harnessed in your organization Key Features ? Get to grips with Microsoft Lists and organize your data efficiently ? Discover best practices and real-world scenarios to track information, events, and issues in your organization ? Take control of your data by creating custom data models using Microsoft Lists Book Description Microsoft Lists is an extremely flexible and powerful platform for creating custom data models. Hands-On Microsoft Lists is an easy-to-read guide for those who want to get started with Lists, as well as those who are already familiar with the basic concepts and want to create custom and flexible Lists that are easily available through a web interface. This comprehensive introduction to Lists will show you how to get up to speed in no time with the help of practical guidance and examples. Complete with hands-on tutorials and projects, you'll understand how to use and implement Microsoft Lists effectively. You'll start by covering all the basic concepts that will help you to build your Microsoft Lists and get the most out of the platform. As you progress, you'll explore how to customize Microsoft Lists layouts and forms. Later chapters will guide you through integrating Microsoft Lists with the Power Platform. Throughout the book, you'll work with practical scenarios that you can use daily to improve the collaboration in your organization. By the end of this Microsoft book, you'll have learned how to create custom data models to improve the way your data is put together, managed, and consumed in your workplace. What you will learn ? Use the Lists platform effectively in the modern workplace ? Get to grips with data privacy ? Discover how to customize Microsoft Lists data and forms ? Automate processes using Microsoft Lists ? Extend the default features of Microsoft Lists using the SharePoint framework ? Create custom list templates using PnP PowerShell ? Extend Microsoft Lists using Power Platform Who this book is for This book is for business professionals and end users working with Microsoft 365 tools such as Microsoft SharePoint and Microsoft Teams who are looking to improve the way their data is structured, managed, and consumed inside an organization. Basic knowledge of SharePoint and Excel is assumed.＜/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。 | 3,064円 |
 Hands-On Data Structures and Algorithms with Rust Learn programming techniques to build effective, maintainable, and readable code in Rust 2018【電子書籍】[ Claus Matzinger ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Design and implement professional level programs by exploring modern data structures and algorithms in Rust.＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Use data structures such as arrays, stacks, trees, lists and graphs with real-world examples＜/li＞ ＜li＞Learn the functional and reactive implementations of the traditional data structures＜/li＞ ＜li＞Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner.＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer.＜/p＞ ＜p＞The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking.＜/p＞ ＜p＞By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Design and implement complex data structures in Rust＜/li＞ ＜li＞Analyze, implement, and improve searching and sorting algorithms in Rust＜/li＞ ＜li＞Create and use well-tested and reusable components with Rust＜/li＞ ＜li＞Understand the basics of multithreaded programming and advanced algorithm design＜/li＞ ＜li＞Become familiar with application profiling based on benchmarking and testing＜/li＞ ＜li＞Explore the borrowing complexity of implementing algorithms＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for developers seeking to use Rust solutions in a practical/professional setting; who wants to learn essential Data Structures and Algorithms in Rust. It is for developers with basic Rust language knowledge, some experience in other programming languages 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。 | 3,290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 |