Getting the Most from LINQPad Succinctly
LINQPad is a powerful testing tool for all .NET developers that can help them deliver solutions in less time. In Getting the Most from LINQPad Succinctly, returning Succinctly series author Jose Roberto Olivas Mendoza lays out different ways to extend the functionality built into LINQPad. In this ebook, you'll learn how to use LINQPad to query Entity Framework models in Visual Studio, how to work with the LINQPad command-line utility, how to write your own extensions and visualizers, and how to write custom data context drivers. ...
LINQPad is a powerful testing tool for all .NET developers that can help them deliver solutions in less time. In Getting the Most from LINQPad Succinctly, returning Succinctly series author Jose Roberto Olivas Mendoza lays out different ways to extend the functionality built into LINQPad. In this ebook, you'll learn how to use LINQPad to query Entity Framework models in Visual Studio, how to work with the LINQPad command-line utility, how to write your own extensions and visualizers, and how to write custom data context drivers. ...
Java Everywhere Again with DukeScript
For many years, Java Swing enabled developers to write applications that could run on any operating system. That all came to an end with the arrival of smart phones, tablets, and embedded computers. In the enterprise, the desktop dominated for many years. In the meantime, however, almost every IT project includes plans for a future where the application will need to be ported to mobile platforms. Building native applications for all platforms requires special skills and is expensive in terms of both maintenance and development. We wanted to solve this problem, to make cross-platform development available for everyone again. That's why we developed DukeScript. In this lab you will learn how to use DukeScript and develop Java applications that run on a lot of different devices. ...
For many years, Java Swing enabled developers to write applications that could run on any operating system. That all came to an end with the arrival of smart phones, tablets, and embedded computers. In the enterprise, the desktop dominated for many years. In the meantime, however, almost every IT project includes plans for a future where the application will need to be ported to mobile platforms. Building native applications for all platforms requires special skills and is expensive in terms of both maintenance and development. We wanted to solve this problem, to make cross-platform development available for everyone again. That's why we developed DukeScript. In this lab you will learn how to use DukeScript and develop Java applications that run on a lot of different devices. ...
The Julia Express
Julia is a high-level, dynamic programming language. Its features are well suited for numerical analysis and computational science. Julia works with other languages (C, Python, R, Rust, C++, SQL, JavaScript, ...) The Purpose of this open book is to introduce programmers to the Julia programming by example. This is a simplified exposition of the language. ...
Julia is a high-level, dynamic programming language. Its features are well suited for numerical analysis and computational science. Julia works with other languages (C, Python, R, Rust, C++, SQL, JavaScript, ...) The Purpose of this open book is to introduce programmers to the Julia programming by example. This is a simplified exposition of the language. ...
Software Test Design
Software Test Design details best practices for testing software applications and writing comprehensive test plans. Written by an expert with over twenty years of experience in the high-tech industry, this guide will provide you with training and practical examples to improve your testing skills. Thorough testing requires a thorough understanding of the functionality under test, informed by exploratory testing and described by a detailed functional specification. This book is divided into three sections, the first of which will describe how best to complete those tasks to start testing from a solid foundation. Armed with the feature specification, functional testing verifies the visible behavior of features by identifying equivalence partitions, boundary values, and other key test conditions. This section explores techniques such as black- and white-box testing, trying error cases, finding security weaknesses, improving the user experience, and how to maintain your product in the ...
Software Test Design details best practices for testing software applications and writing comprehensive test plans. Written by an expert with over twenty years of experience in the high-tech industry, this guide will provide you with training and practical examples to improve your testing skills. Thorough testing requires a thorough understanding of the functionality under test, informed by exploratory testing and described by a detailed functional specification. This book is divided into three sections, the first of which will describe how best to complete those tasks to start testing from a solid foundation. Armed with the feature specification, functional testing verifies the visible behavior of features by identifying equivalence partitions, boundary values, and other key test conditions. This section explores techniques such as black- and white-box testing, trying error cases, finding security weaknesses, improving the user experience, and how to maintain your product in the ...
Architecting and Building High-Speed SoCs
Modern and complex SoCs can adapt to many demanding system requirements by combining the processing power of ARM processors and the feature-rich Xilinx FPGAs. You'll need to understand many protocols, use a variety of internal and external interfaces, pinpoint the bottlenecks, and define the architecture of an SoC in an FPGA to produce a superior solution in a timely and cost-efficient manner. This book adopts a practical approach to helping you master both the hardware and software design flows, understand key interconnects and interfaces, analyze the system performance and enhance it using the acceleration techniques, and finally build an RTOS-based software application for an advanced SoC design. You'll start with an introduction to the FPGA SoCs technology fundamentals and their associated development design tools. Gradually, the book will guide you through building the SoC hardware and software, starting from the architecture definition to testing on a demo board or a virtua ...
Modern and complex SoCs can adapt to many demanding system requirements by combining the processing power of ARM processors and the feature-rich Xilinx FPGAs. You'll need to understand many protocols, use a variety of internal and external interfaces, pinpoint the bottlenecks, and define the architecture of an SoC in an FPGA to produce a superior solution in a timely and cost-efficient manner. This book adopts a practical approach to helping you master both the hardware and software design flows, understand key interconnects and interfaces, analyze the system performance and enhance it using the acceleration techniques, and finally build an RTOS-based software application for an advanced SoC design. You'll start with an introduction to the FPGA SoCs technology fundamentals and their associated development design tools. Gradually, the book will guide you through building the SoC hardware and software, starting from the architecture definition to testing on a demo board or a virtua ...
Full Stack Quarkus and React
React has established itself as one of the most popular and widely adopted frameworks thanks to its simple yet scalable app development abilities. Quarkus comes across as a fantastic alternative for backend development by boosting developer productivity with features such as pre-built integrations, application services, and more that bring a new, revolutionary developer experience to Java. To make the best use of both, this hands-on guide will help you get started with Quarkus and React to create and deploy an end-to-end web application. This book is divided into three parts. In the first part, you'll begin with an introduction to Quarkus and its features, learning how to bootstrap a Quarkus project from the ground up to create a tested and secure HTTP server for your backend. The second part focuses on the frontend, showing you how to create a React project from scratch to build the application's user interface and integrate it with the Quarkus backend. The last part guides you thr ...
React has established itself as one of the most popular and widely adopted frameworks thanks to its simple yet scalable app development abilities. Quarkus comes across as a fantastic alternative for backend development by boosting developer productivity with features such as pre-built integrations, application services, and more that bring a new, revolutionary developer experience to Java. To make the best use of both, this hands-on guide will help you get started with Quarkus and React to create and deploy an end-to-end web application. This book is divided into three parts. In the first part, you'll begin with an introduction to Quarkus and its features, learning how to bootstrap a Quarkus project from the ground up to create a tested and secure HTTP server for your backend. The second part focuses on the frontend, showing you how to create a React project from scratch to build the application's user interface and integrate it with the Quarkus backend. The last part guides you thr ...
Applying Math with Python, 2nd Edition
The updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX. You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you progress, you'll gradually get to grips with more advanced topics of calculus, probability, and networks (graph theory). Once you've developed a solid base in these topics, you'll have the confidence to set out on math adventures with Python as you explore Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code. By the end of this book, y ...
The updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX. You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you progress, you'll gradually get to grips with more advanced topics of calculus, probability, and networks (graph theory). Once you've developed a solid base in these topics, you'll have the confidence to set out on math adventures with Python as you explore Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code. By the end of this book, y ...
Designing Event-Driven Systems
Many forces affect software today: larger datasets, geographical disparities, complex company structures, and the growing need to be fast and nimble in the face of change. Proven approaches such as service-oriented and event-driven architectures are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together. Author Ben Stopford explains how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems. You'll learn how to apply patterns including Event Sourcing and CQRS, and how to build multi-team systems with microservices and SOA using patterns such as "inside out databases" and "event streams as a source of truth." These approaches provide a unique foundation for how these large, autonomous service ecosystem ...
Many forces affect software today: larger datasets, geographical disparities, complex company structures, and the growing need to be fast and nimble in the face of change. Proven approaches such as service-oriented and event-driven architectures are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together. Author Ben Stopford explains how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems. You'll learn how to apply patterns including Event Sourcing and CQRS, and how to build multi-team systems with microservices and SOA using patterns such as "inside out databases" and "event streams as a source of truth." These approaches provide a unique foundation for how these large, autonomous service ecosystem ...
Python for Data Analysis, 3rd Edition
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. ...
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. ...
Python Data Science Handbook, 2nd Edition
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all - IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. ...
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all - IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. ...