Solutions Architect's Handbook, 2nd Edition
Becoming a solutions architect requires a hands-on approach, and the second edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced desig ...
Becoming a solutions architect requires a hands-on approach, and the second edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced desig ...
Blazor for ASP NET Web Forms Developers
Blazor is a new web framework that changes what is possible when building web apps with .NET. Blazor is a client-side web UI framework based on C# instead of JavaScript. With Blazor you can write your client-side logic and UI components in C#, compile them into normal .NET assemblies, and then run them directly in the browser using a new open web standard called WebAssembly. Or alternatively, Blazor can run your .NET UI components on the server and handle all UI interactions fluidly over a real-time connection with the browser. When paired with .NET running on the server, Blazor enables full-stack web development with .NET. While Blazor shares many commonalities with ASP.NET Web Forms, like having a reusable component model and a simple way to handle user events, it also builds on the foundations of .NET to provide a modern and high-performance web development experience. This book introduces ASP.NET Web Forms developers to Blazor in a way that is familiar and convenient. It introdu ...
Blazor is a new web framework that changes what is possible when building web apps with .NET. Blazor is a client-side web UI framework based on C# instead of JavaScript. With Blazor you can write your client-side logic and UI components in C#, compile them into normal .NET assemblies, and then run them directly in the browser using a new open web standard called WebAssembly. Or alternatively, Blazor can run your .NET UI components on the server and handle all UI interactions fluidly over a real-time connection with the browser. When paired with .NET running on the server, Blazor enables full-stack web development with .NET. While Blazor shares many commonalities with ASP.NET Web Forms, like having a reusable component model and a simple way to handle user events, it also builds on the foundations of .NET to provide a modern and high-performance web development experience. This book introduces ASP.NET Web Forms developers to Blazor in a way that is familiar and convenient. It introdu ...
Python Testing with pytest, 2nd Edition
Test applications, packages, and libraries large and small with pytest, Python's most powerful testing framework. pytest helps you write tests quickly and keep them readable and maintainable. In this fully revised edition, explore pytest's superpowers - simple asserts, fixtures, parametrization, markers, and plugins - while creating simple tests and test suites against a small database application. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing. This book shows you how. pytest is undeniably the best choice for testing Python projects. It's a full-featured, flexible, and extensible testing framework. pytest's fixture model allows you to share test data and setup procedures across multiple layers of tests. The pytest framework gives you powerful features such as assert rewriting, parametrization, markers, plugins, parallel test execution, and clear test failure reporting - with no boilerpla ...
Test applications, packages, and libraries large and small with pytest, Python's most powerful testing framework. pytest helps you write tests quickly and keep them readable and maintainable. In this fully revised edition, explore pytest's superpowers - simple asserts, fixtures, parametrization, markers, and plugins - while creating simple tests and test suites against a small database application. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing. This book shows you how. pytest is undeniably the best choice for testing Python projects. It's a full-featured, flexible, and extensible testing framework. pytest's fixture model allows you to share test data and setup procedures across multiple layers of tests. The pytest framework gives you powerful features such as assert rewriting, parametrization, markers, plugins, parallel test execution, and clear test failure reporting - with no boilerpla ...
FPGAs for Dummies, 2nd Edition
Field programmable gate arrays (FPGAs) are integrated circuits that enable designers to program customized digital logic in the field. FPGAs have been around since the 1980s and were originally conceived to give all design teams the ability to create custom logic. In the early days, using an FPGA in your design meant you had to do a lot of programming just to get your FPGA to perform simple functions, so most designers avoided them. If you haven't looked into FPGAs since your university studies way back when, you'll want to take another look at them. The FPGA has evolved from a useful but humble interface device into a system-level integrated circuit (IC) with its own microprocessors, memory blocks, and interfaces. It's the next big thing. Now would be a great time to get an inexpensive development kit, download free tools, and begin to explore this world for yourself. And this book will help you understand the practical uses of FPGAs. This book is for you if you're a system d ...
Field programmable gate arrays (FPGAs) are integrated circuits that enable designers to program customized digital logic in the field. FPGAs have been around since the 1980s and were originally conceived to give all design teams the ability to create custom logic. In the early days, using an FPGA in your design meant you had to do a lot of programming just to get your FPGA to perform simple functions, so most designers avoided them. If you haven't looked into FPGAs since your university studies way back when, you'll want to take another look at them. The FPGA has evolved from a useful but humble interface device into a system-level integrated circuit (IC) with its own microprocessors, memory blocks, and interfaces. It's the next big thing. Now would be a great time to get an inexpensive development kit, download free tools, and begin to explore this world for yourself. And this book will help you understand the practical uses of FPGAs. This book is for you if you're a system d ...
Build Your Own IoT Platform, 2nd Edition
Every solution that is in some way related to the IoT needs a platform; learn how to create that platform with us. This book is about being agile and reducing your time to market without breaking the bank. It is about designing something that can scale incrementally without rework and potentially disrupting the current work. So, the key questions are: What does it take? How long does it take? And, how much does it take to build your own IoT platform? This book answers these questions and provides you with step-by-step guide to building your own IoT platform. In this book, the author highlights what the core of an IoT platform looks like. There are always some must-haves and some nice-to-haves. This book distinguishes the two and focuses on building the must-haves. Building your IoT platform is not only the most significant cost-saver but can also be a satisfying learning experience. This edition will extend your work with a sample project to clarify the concepts and show you the ...
Every solution that is in some way related to the IoT needs a platform; learn how to create that platform with us. This book is about being agile and reducing your time to market without breaking the bank. It is about designing something that can scale incrementally without rework and potentially disrupting the current work. So, the key questions are: What does it take? How long does it take? And, how much does it take to build your own IoT platform? This book answers these questions and provides you with step-by-step guide to building your own IoT platform. In this book, the author highlights what the core of an IoT platform looks like. There are always some must-haves and some nice-to-haves. This book distinguishes the two and focuses on building the must-haves. Building your IoT platform is not only the most significant cost-saver but can also be a satisfying learning experience. This edition will extend your work with a sample project to clarify the concepts and show you the ...
Applied Deep Learning with TensorFlow 2, 2nd Edition
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in G ...
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in G ...
Machine Learning with PySpark, 2nd Edition
Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems. Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectrum of traditional machine learning algorithm implementations, along with natural language processing and recommender systems. You'll gain familiarity with the critical process of selecting machine learning algorithms, data ingestion, and data processing to solve business problems. You'll see a demonstration of how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forests. You'll also learn how to automate the steps using Spark pipelines, followed by unsupervised models such as K-means and hierarchical clustering ...
Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems. Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectrum of traditional machine learning algorithm implementations, along with natural language processing and recommender systems. You'll gain familiarity with the critical process of selecting machine learning algorithms, data ingestion, and data processing to solve business problems. You'll see a demonstration of how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forests. You'll also learn how to automate the steps using Spark pipelines, followed by unsupervised models such as K-means and hierarchical clustering ...
Modern Computer Architecture and Organization, 2nd Edition
Are you a software developer, systems designer, or computer architecture student looking for a methodical introduction to digital device architectures, but are overwhelmed by the complexity of modern systems? This step-by-step guide will teach you how modern computer systems work with the help of practical examples and exercises. You'll gain insights into the internal behavior of processors down to the circuit level and will understand how the hardware executes code developed in high-level languages. This book will teach you the fundamentals of computer systems including transistors, logic gates, sequential logic, and instruction pipelines. You will learn details of modern processor architectures and instruction sets including x86, x64, ARM, and RISC-V. You will see how to implement a RISC-V processor in a low-cost FPGA board and write a quantum computing program and run it on an actual quantum computer. This edition has been updated to cover the architecture and design principle ...
Are you a software developer, systems designer, or computer architecture student looking for a methodical introduction to digital device architectures, but are overwhelmed by the complexity of modern systems? This step-by-step guide will teach you how modern computer systems work with the help of practical examples and exercises. You'll gain insights into the internal behavior of processors down to the circuit level and will understand how the hardware executes code developed in high-level languages. This book will teach you the fundamentals of computer systems including transistors, logic gates, sequential logic, and instruction pipelines. You will learn details of modern processor architectures and instruction sets including x86, x64, ARM, and RISC-V. You will see how to implement a RISC-V processor in a low-cost FPGA board and write a quantum computing program and run it on an actual quantum computer. This edition has been updated to cover the architecture and design principle ...
Mastering Python, 2nd Edition
Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python's capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code's performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn yo ...
Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python's capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code's performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn yo ...
Fundamentals of Deep Learning, 2nd Edition
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics. The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field. Learn the mathematics behind machine learning jargon; Examine the foundations of machine learning and neural networks; Manage problems that arise as you begin to make networks deeper; Build neural networks that analyze complex images; Per ...
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics. The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field. Learn the mathematics behind machine learning jargon; Examine the foundations of machine learning and neural networks; Manage problems that arise as you begin to make networks deeper; Build neural networks that analyze complex images; Per ...