Introducing Blockchain with Java
Create your own crypto currency by implementing blockchain technology using Java. This step-by-step guide will teach you how to create a user interface using Java FX and implement SQLite DB using JDBC Driver for the blockchain. Introducing Blockchain with Java includes numerous exercises and test questions to help you solidify what you have learned as you progress through the book, and provides ideas on expanding the codebase to make it your own. You will have access to a fully-functioning repository with Java code. Upon completing this book, you will have the knowledge necessary to program your own blockchains with Java and you will have a completed project for your portfolio. ...
Create your own crypto currency by implementing blockchain technology using Java. This step-by-step guide will teach you how to create a user interface using Java FX and implement SQLite DB using JDBC Driver for the blockchain. Introducing Blockchain with Java includes numerous exercises and test questions to help you solidify what you have learned as you progress through the book, and provides ideas on expanding the codebase to make it your own. You will have access to a fully-functioning repository with Java code. Upon completing this book, you will have the knowledge necessary to program your own blockchains with Java and you will have a completed project for your portfolio. ...
Microsoft Orleans for Developers
Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework. Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructure moves to multi-core; multiple computers are being used for scale, redundancy, and cloud computing; and multi-region deployment is taking place. Orleans handles many of the concerns of distributed computing and cloud infrastructure, allowing you to concentrate on writing application logic. ...
Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework. Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructure moves to multi-core; multiple computers are being used for scale, redundancy, and cloud computing; and multi-region deployment is taking place. Orleans handles many of the concerns of distributed computing and cloud infrastructure, allowing you to concentrate on writing application logic. ...
Network Programming with Go Language, 2nd Edition
Dive into key topics in network architecture implemented with the Google-backed open source Go programming language. Networking topics such as data serialization, application level protocols, character sets and encodings are discussed and demonstrated in Go. This book has been updated to the Go version 1.18 which includes modules, generics, and fuzzing along with updated and additional examples. Beyond the fundamentals, Network Programming with Go, Second Edition covers key networking and security issues such as HTTP protocol changes, validation and templates, remote procedure call (RPC) and REST comparison, and more. Additionally, authors Ronald Petty and Jan Newmarch guide you in building and connecting to a complete web server based on Go. Along the way, use of a Go web toolkit (Gorilla) will be employed. This book can serve as both an essential learning guide and reference on networking concepts and implementation in Go. Free source code is available on Github for this book u ...
Dive into key topics in network architecture implemented with the Google-backed open source Go programming language. Networking topics such as data serialization, application level protocols, character sets and encodings are discussed and demonstrated in Go. This book has been updated to the Go version 1.18 which includes modules, generics, and fuzzing along with updated and additional examples. Beyond the fundamentals, Network Programming with Go, Second Edition covers key networking and security issues such as HTTP protocol changes, validation and templates, remote procedure call (RPC) and REST comparison, and more. Additionally, authors Ronald Petty and Jan Newmarch guide you in building and connecting to a complete web server based on Go. Along the way, use of a Go web toolkit (Gorilla) will be employed. This book can serve as both an essential learning guide and reference on networking concepts and implementation in Go. Free source code is available on Github for this book u ...
Data Engineering with Alteryx
Alteryx is a GUI-based development platform for data analytic applications. Data Engineering with Alteryx will help you leverage Alteryx's code-free aspects which increase development speed while still enabling you to make the most of the code-based skills you have. This book will teach you the principles of DataOps and how they can be used with the Alteryx software stack. You'll build data pipelines with Alteryx Designer and incorporate the error handling and data validation needed for reliable datasets. Next, you'll take the data pipeline from raw data, transform it into a robust dataset, and publish it to Alteryx Server following a continuous integration process. By the end of this Alteryx book, you'll be able to build systems for validating datasets, monitoring workflow performance, managing access, and promoting the use of your data sources. ...
Alteryx is a GUI-based development platform for data analytic applications. Data Engineering with Alteryx will help you leverage Alteryx's code-free aspects which increase development speed while still enabling you to make the most of the code-based skills you have. This book will teach you the principles of DataOps and how they can be used with the Alteryx software stack. You'll build data pipelines with Alteryx Designer and incorporate the error handling and data validation needed for reliable datasets. Next, you'll take the data pipeline from raw data, transform it into a robust dataset, and publish it to Alteryx Server following a continuous integration process. By the end of this Alteryx book, you'll be able to build systems for validating datasets, monitoring workflow performance, managing access, and promoting the use of your data sources. ...
UI Animations with Lottie and After Effects
Lottie is a small and scalable JSON-based animation file. LottieFiles is the platform where Lottie animations can be uploaded, tested, and shared. By combining the LottieFiles plugin and the LottieFiles platform, you'll be able to create stunning animations that are easy to integrate in any device. You'll also see how to use the Bodymovin plugin in After Effects to export your animation to a JSON file. The book starts by giving you an overview of Lottie and LottieFiles. As you keep reading, you'll understand the entire Lottie ecosystem and get hands-on with classic 2D animation principles. You'll also get a step-by-step guided tour to ideate, sketch for storytelling, design an icon that will fulfill the needs and expectations of users based on UX, and finally animate it in Adobe After Effects. This will help you get familiar with the After Effects environment, work with vector shape layers, create and modify keyframes using layer properties, explore path and mask features, and adjus ...
Lottie is a small and scalable JSON-based animation file. LottieFiles is the platform where Lottie animations can be uploaded, tested, and shared. By combining the LottieFiles plugin and the LottieFiles platform, you'll be able to create stunning animations that are easy to integrate in any device. You'll also see how to use the Bodymovin plugin in After Effects to export your animation to a JSON file. The book starts by giving you an overview of Lottie and LottieFiles. As you keep reading, you'll understand the entire Lottie ecosystem and get hands-on with classic 2D animation principles. You'll also get a step-by-step guided tour to ideate, sketch for storytelling, design an icon that will fulfill the needs and expectations of users based on UX, and finally animate it in Adobe After Effects. This will help you get familiar with the After Effects environment, work with vector shape layers, create and modify keyframes using layer properties, explore path and mask features, and adjus ...
Building Games with Flutter
With its powerful tools and quick implementation capabilities, Flutter provides a new way to build scalable cross-platform apps. In this book, you'll learn how to build on your knowledge and use Flutter as the foundation for creating games. This game development book takes a hands-on approach to building a complete game from scratch. You'll see how to get started with the Flame library and build a simple animated example to test Flame. You'll then discover how to organize and load images and audio in your Flutter game. As you advance, you'll gain insights into the game loop and set it up for fast and efficient processing. The book also guides you in using Tiled to create maps, add sprites to the maps that the player can interact with, and see how to use tilemap collision to create paths for a player to walk on. Finally, you'll learn how to make enemies more intelligent with artificial intelligence (AI). By the end of the book, you'll have gained the confidence to build fun multip ...
With its powerful tools and quick implementation capabilities, Flutter provides a new way to build scalable cross-platform apps. In this book, you'll learn how to build on your knowledge and use Flutter as the foundation for creating games. This game development book takes a hands-on approach to building a complete game from scratch. You'll see how to get started with the Flame library and build a simple animated example to test Flame. You'll then discover how to organize and load images and audio in your Flutter game. As you advance, you'll gain insights into the game loop and set it up for fast and efficient processing. The book also guides you in using Tiled to create maps, add sprites to the maps that the player can interact with, and see how to use tilemap collision to create paths for a player to walk on. Finally, you'll learn how to make enemies more intelligent with artificial intelligence (AI). By the end of the book, you'll have gained the confidence to build fun multip ...
Getting Started with Open Source Technologies
Using real life examples, learn how open source projects are consumed and explore the nuances within different industries in adopting open source technologies. After gaining a basic understanding of open source and open standards, understand how licensing helps turn community code into an enterprise worthy component. It also helps you understand future governance of the open source software. Once in effect, continuous security becomes a challenge for open source components so we'll examine its ongoing security aspects. This book will also cover different open source domains and industries and discuss how an enterprise can transform itself by applying key open source principles. In the end Getting Started with Open Source Technologies will provide a 360-degree view of open source and show you how to apply it. ...
Using real life examples, learn how open source projects are consumed and explore the nuances within different industries in adopting open source technologies. After gaining a basic understanding of open source and open standards, understand how licensing helps turn community code into an enterprise worthy component. It also helps you understand future governance of the open source software. Once in effect, continuous security becomes a challenge for open source components so we'll examine its ongoing security aspects. This book will also cover different open source domains and industries and discuss how an enterprise can transform itself by applying key open source principles. In the end Getting Started with Open Source Technologies will provide a 360-degree view of open source and show you how to apply it. ...
Productive and Efficient Data Science with Python
This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science stacks such as statistical analysis, visualization, model selection, and feature engineering. You'll review the inefficiencies and bottlenecks lurking in the daily business process and solve them with practical solutions. Automation of repetitive data science tasks is a key mindset that is promoted throughout the book. You'll learn how to extend the existing coding practice to handle larger datasets with high efficiency with the help of advanced libraries and packages that already exist in the Python ecosystem. The book focuses on topics such as how to measure the memory footprint and execution speed of machine learning models, quality test a data science pipelines, and modularizing a data science pipeline for app development. You'll review Python libraries which come in very handy for automating and speeding up the day-to-day tasks. In the end ...
This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science stacks such as statistical analysis, visualization, model selection, and feature engineering. You'll review the inefficiencies and bottlenecks lurking in the daily business process and solve them with practical solutions. Automation of repetitive data science tasks is a key mindset that is promoted throughout the book. You'll learn how to extend the existing coding practice to handle larger datasets with high efficiency with the help of advanced libraries and packages that already exist in the Python ecosystem. The book focuses on topics such as how to measure the memory footprint and execution speed of machine learning models, quality test a data science pipelines, and modularizing a data science pipeline for app development. You'll review Python libraries which come in very handy for automating and speeding up the day-to-day tasks. In the end ...
Hands-on Machine Learning with Python
Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios. The book is divided into three sections. The first section introduces you to number crunching and data analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and visualizations. The second section covers machine learning basics and Scikit-learn library. It also explains supervised learning, unsupervised learning, implementation, and classification of regression algorithms, and ensemble learning methods in an easy manner with theoretical and practical le ...
Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios. The book is divided into three sections. The first section introduces you to number crunching and data analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and visualizations. The second section covers machine learning basics and Scikit-learn library. It also explains supervised learning, unsupervised learning, implementation, and classification of regression algorithms, and ensemble learning methods in an easy manner with theoretical and practical le ...
Introduction to Scientific Programming with Python
This open book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies. ...
This open book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies. ...