Rails on Containers
This book is designed to introduce you to using containers and Kubernetes for full-stack development. You'll learn how to develop a full-stack application using Ruby on Rails and PostgreSQL with Sidekiq, and how to manage them all - first with Docker, then with Docker Compose, and finally with Kubernetes. The topics that it covers include how to: - Get started developing an application about sharks using the Ruby on Rails framework; - Extend the application's data model to incorporate user submitted information about sharks; - Add the Stimulus JavaScript and Bootstrap CSS frameworks to your application to create visually appealing, interactive pages; - Integrate Sidekiq into your application to handle asynchronous data processing; - Containerize your application and streamline your development workflow using Docker Compose; - Migrate your Docker Compose development workflow to Kubernetes, finishing with a completely cloud-native application. ...
This book is designed to introduce you to using containers and Kubernetes for full-stack development. You'll learn how to develop a full-stack application using Ruby on Rails and PostgreSQL with Sidekiq, and how to manage them all - first with Docker, then with Docker Compose, and finally with Kubernetes. The topics that it covers include how to: - Get started developing an application about sharks using the Ruby on Rails framework; - Extend the application's data model to incorporate user submitted information about sharks; - Add the Stimulus JavaScript and Bootstrap CSS frameworks to your application to create visually appealing, interactive pages; - Integrate Sidekiq into your application to handle asynchronous data processing; - Containerize your application and streamline your development workflow using Docker Compose; - Migrate your Docker Compose development workflow to Kubernetes, finishing with a completely cloud-native application. ...
Azure Tips and Tricks
When I reflect back on Azure Tips and Tricks a year ago, I was only thinking that I'd write a couple of posts and move on. Fast-forward to today, the collection has grown to over 150+ tips, as well as videos, conference talks, and now an eBook spanning the entire universe of the Azure platform. What you are currently reading is a special collection of tips based on page views of the entire series over the last year. I've grouped the top tips and landed on four categories that cover web, data, serverless, and productivity. ...
When I reflect back on Azure Tips and Tricks a year ago, I was only thinking that I'd write a couple of posts and move on. Fast-forward to today, the collection has grown to over 150+ tips, as well as videos, conference talks, and now an eBook spanning the entire universe of the Azure platform. What you are currently reading is a special collection of tips based on page views of the entire series over the last year. I've grouped the top tips and landed on four categories that cover web, data, serverless, and productivity. ...
Building Custom Tasks for SQL Server Integration Services, 2nd Edition
Build custom SQL Server Integration Services (SSIS) tasks using Visual Studio Community Edition and C#. Bring all the power of Microsoft .NET to bear on your data integration and ETL processes, and for no added cost over what you've already spent on licensing SQL Server. New in this edition is a demonstration deploying a custom SSIS task to the Azure Data Factory (ADF) Azure-SSIS Integration Runtime (IR). All examples in this new edition are implemented in C#. Custom task developers are shown how to implement custom tasks using the widely accepted and default language for .NET development. Why are custom components necessary? Because even though the SSIS catalog of built-in tasks and components is a marvel of engineering, gaps remain in the available functionality. One such gap is a constraint of the built-in SSIS Execute Package Task, which does not allow SSIS developers to select SSIS packages from other projects in the SSIS Catalog. Examples in this book show how to create a c ...
Build custom SQL Server Integration Services (SSIS) tasks using Visual Studio Community Edition and C#. Bring all the power of Microsoft .NET to bear on your data integration and ETL processes, and for no added cost over what you've already spent on licensing SQL Server. New in this edition is a demonstration deploying a custom SSIS task to the Azure Data Factory (ADF) Azure-SSIS Integration Runtime (IR). All examples in this new edition are implemented in C#. Custom task developers are shown how to implement custom tasks using the widely accepted and default language for .NET development. Why are custom components necessary? Because even though the SSIS catalog of built-in tasks and components is a marvel of engineering, gaps remain in the available functionality. One such gap is a constraint of the built-in SSIS Execute Package Task, which does not allow SSIS developers to select SSIS packages from other projects in the SSIS Catalog. Examples in this book show how to create a c ...
MATLAB Recipes, 2nd Edition
Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. Features now covered include the new graph and digraph classes for charts and networks; interactive documents that combine text, code, and output; a new development environment for building apps; locally defined functions in scripts; automatic expansion of dimensions; tall arrays for big data; the new string type; new functions to encode/decode JSON; handling non-English languages; the new class architecture; the Mocking framework; an engine API for Java; the cloud-based MATLAB desktop; the memoize function; and heatmap charts. MATLAB Recipes: A Problem-Solution Approach, Second Edition provides practical, hands-on code snipp ...
Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. Features now covered include the new graph and digraph classes for charts and networks; interactive documents that combine text, code, and output; a new development environment for building apps; locally defined functions in scripts; automatic expansion of dimensions; tall arrays for big data; the new string type; new functions to encode/decode JSON; handling non-English languages; the new class architecture; the Mocking framework; an engine API for Java; the cloud-based MATLAB desktop; the memoize function; and heatmap charts. MATLAB Recipes: A Problem-Solution Approach, Second Edition provides practical, hands-on code snipp ...
TensorFlow 2.x in the Colaboratory Cloud
Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab's default install of the most current TensorFlow 2.x along with Colab's easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book offers you the opportunity to grasp deep learning in an applied manner with the only requirement being an Internet connection. Everything else - Python, TensorFlow 2.x, GPU support, and Jupyter Notebooks - is provided and ready to go from Colab. The book begins with an introduction to TensorFlow 2.x and the Google Colab cloud service. You will learn how to provision a workspace on Google Colab and build a simple neural network application. From there you will progress into TensorFlow datasets and building input pipelines in support of modeling and testing. You will fi ...
Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab's default install of the most current TensorFlow 2.x along with Colab's easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book offers you the opportunity to grasp deep learning in an applied manner with the only requirement being an Internet connection. Everything else - Python, TensorFlow 2.x, GPU support, and Jupyter Notebooks - is provided and ready to go from Colab. The book begins with an introduction to TensorFlow 2.x and the Google Colab cloud service. You will learn how to provision a workspace on Google Colab and build a simple neural network application. From there you will progress into TensorFlow datasets and building input pipelines in support of modeling and testing. You will fi ...
How To Manage a Redis Database
This book aims to provide an approachable introduction to Redis concepts by outlining many of the key-value store's commands so readers can learn their patterns and syntax, thus building up readers' understanding gradually. The goal for this book is to serve as an introduction to Redis for those interested in getting started with it, or key-value stores in general. For more experienced users, this book can function as a collection of helpful cheat sheets and in-depth reference. The topics that it covers include how to: Connect to a Redis database; Create and use a variety of Redis data types, including strings, sets, hashes, and lists; Manage Redis clients and replicas; Run transactions in Redis; Troubleshoot issues in a Redis installation. Each chapter is self-contained and can be followed independently of the others. By reading through this book, you'll become acquainted with many of Redis's most widely used commands, which will help you as you begin to build applications that ...
This book aims to provide an approachable introduction to Redis concepts by outlining many of the key-value store's commands so readers can learn their patterns and syntax, thus building up readers' understanding gradually. The goal for this book is to serve as an introduction to Redis for those interested in getting started with it, or key-value stores in general. For more experienced users, this book can function as a collection of helpful cheat sheets and in-depth reference. The topics that it covers include how to: Connect to a Redis database; Create and use a variety of Redis data types, including strings, sets, hashes, and lists; Manage Redis clients and replicas; Run transactions in Redis; Troubleshoot issues in a Redis installation. Each chapter is self-contained and can be followed independently of the others. By reading through this book, you'll become acquainted with many of Redis's most widely used commands, which will help you as you begin to build applications that ...
How the Internet Really Works
The internet has profoundly changed interpersonal communication, but most of us don't really understand how it works. What enables information to travel across the internet? Can we really be anonymous and private online? Who controls the internet, and why is that important? And… what's with all the cats? How the Internet Really Works answers these questions and more. Using clear language and whimsical illustrations, the authors translate highly technical topics into accessible, engaging prose that demystifies the world's most intricately linked computer network. Alongside a feline guide named Catnip, you'll learn about: - The "How-What-Why" of nodes, packets, and internet protocols; - Cryptographic techniques to ensure the secrecy and integrity of your data; - Censorship, ways to monitor it, and means for circumventing it; - Cybernetics, algorithms, and how computers make decisions; - Centralization of internet power, its impact on democracy, and how it hurts human rights; - ...
The internet has profoundly changed interpersonal communication, but most of us don't really understand how it works. What enables information to travel across the internet? Can we really be anonymous and private online? Who controls the internet, and why is that important? And… what's with all the cats? How the Internet Really Works answers these questions and more. Using clear language and whimsical illustrations, the authors translate highly technical topics into accessible, engaging prose that demystifies the world's most intricately linked computer network. Alongside a feline guide named Catnip, you'll learn about: - The "How-What-Why" of nodes, packets, and internet protocols; - Cryptographic techniques to ensure the secrecy and integrity of your data; - Censorship, ways to monitor it, and means for circumventing it; - Cybernetics, algorithms, and how computers make decisions; - Centralization of internet power, its impact on democracy, and how it hurts human rights; - ...
Machine Learning for Kids
Artificial intelligence (AI) is the ability of computers to simulate human thinking. Machine learning (ML) is one of the building blocks of AI. It's based on the idea that computers can be taught to do things on their own from the data and feedback you give them. Machine Learning for Kids consists of this book and a kid-friendly companion website paired with the educational coding platform, Scratch. Together, they provide an easy-to-use guided programming environment for adding ML capabilities to your own AI projects! As you work through each chapter you'll discover how ML systems can be taught to recognize text, images, numbers, and sounds, and different ways of training ML models to improve their accuracy. You'll turn your models into fun computer games and apps (and see what happens when an AI system gets confused by bad data) while building: - A Rock, Paper, Scissors game that knows your hand shapes; - A smart question-answering chatbot; - A computer character that reacts ...
Artificial intelligence (AI) is the ability of computers to simulate human thinking. Machine learning (ML) is one of the building blocks of AI. It's based on the idea that computers can be taught to do things on their own from the data and feedback you give them. Machine Learning for Kids consists of this book and a kid-friendly companion website paired with the educational coding platform, Scratch. Together, they provide an easy-to-use guided programming environment for adding ML capabilities to your own AI projects! As you work through each chapter you'll discover how ML systems can be taught to recognize text, images, numbers, and sounds, and different ways of training ML models to improve their accuracy. You'll turn your models into fun computer games and apps (and see what happens when an AI system gets confused by bad data) while building: - A Rock, Paper, Scissors game that knows your hand shapes; - A smart question-answering chatbot; - A computer character that reacts ...
Algorithmic Thinking
Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: - The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book; - Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations; - The union-find data structure to answer questions about c ...
Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: - The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book; - Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations; - The union-find data structure to answer questions about c ...
How Computers Really Work
How Computers Really Work is a hands-on guide to the computing ecosystem: everything from circuits to memory and clock signals, machine code, programming languages, operating systems, and the internet. But you won't just read about these concepts, you'll test your knowledge with exercises, and practice what you learn with 41 optional hands-on projects. Build digital circuits, craft a guessing game, convert decimal numbers to binary, examine virtual memory usage, run your own web server, and more. Explore concepts like how to: - Think like a software engineer as you use data to describe a real world concept; - Use Ohm's and Kirchhoff's laws to analyze an electrical circuit; - Think like a computer as you practice binary addition and execute a program in your mind, step-by-step. The book's projects will have you translate your learning into action, as you: - Learn how to use a multimeter to measure resistance, current, and voltage; - Build a half adder to see how logical op ...
How Computers Really Work is a hands-on guide to the computing ecosystem: everything from circuits to memory and clock signals, machine code, programming languages, operating systems, and the internet. But you won't just read about these concepts, you'll test your knowledge with exercises, and practice what you learn with 41 optional hands-on projects. Build digital circuits, craft a guessing game, convert decimal numbers to binary, examine virtual memory usage, run your own web server, and more. Explore concepts like how to: - Think like a software engineer as you use data to describe a real world concept; - Use Ohm's and Kirchhoff's laws to analyze an electrical circuit; - Think like a computer as you practice binary addition and execute a program in your mind, step-by-step. The book's projects will have you translate your learning into action, as you: - Learn how to use a multimeter to measure resistance, current, and voltage; - Build a half adder to see how logical op ...