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How To Manage Remote Servers with Ansible
How To Manage Remote Servers with Ansible

This book is designed to introduce you to using Ansible to manage your servers. You'll learn how to install and configure Ansible on a control node, and then how to use it to configure and run commands on remote servers. You'll also learn how to collect tasks into complete Playbooks to automate server setup from start to finish. The topics that it covers include how to: - Become familiar with configuration management tools and processes, and the benefits of using them to manage your infrastructure. - Install and configure Ansible on an Ubuntu 20.04 control node, ensuring that your servers are properly set up and that you are able to execute remote instructions through Ansible. - Build inventory files and organize your servers into groups to selectively control how and where Ansible commands are run. - Run Ad Hoc commands to execute individual tasks on one, or multiple remote servers. - Package individual commands into Playbooks that you can use to automate the provisioning of m ...
GitOps and Kubernetes
GitOps and Kubernetes

GitOps and Kubernetes introduces a radical idea - managing your infrastructure with the same Git pull requests you use to manage your codebase. In this in-depth tutorial, you'll learn to operate infrastructures based on powerful-but-complex technologies such as Kubernetes with the same Git version control tools most developers use daily. With these GitOps techniques and best practices, you'll accelerate application development without compromising on security, easily roll back infrastructure changes, and seamlessly introduce new team members to your automation process. With GitOps you use the Git version control system to organize and manage your infrastructure just like any other codebase. It's an excellent model for applications deployed as containers and pods on Kubernetes. GitOps and Kubernetes teaches you how to use Git and the GitOps methodology to manage a Kubernetes cluster. The book interleaves theory with practice, presenting core Ops concepts alongside easy-to-implemen ...
React Hooks in Action
React Hooks in Action

Build stylish, slick, and speedy-to-load user interfaces in React without writing custom classes. React Hooks are a new category of functions that help you to manage state, lifecycle, and side effects within functional components. React Hooks in Action teaches you to use pre-built hooks like useState, useReducer and useEffect to build your own hooks. Your code will be more reusable, require less boilerplate, and you'll instantly be a more effective React developer. Get started with React Hooks and you'll soon have code that's better organized and easier to maintain. React Hooks are targeted JavaScript functions that let you reuse and share functionality across components. Use them to split components into smaller functions, manage state and side effects, and access React features without classes - all without having to rearrange your component hierarchy. React Hooks in Action teaches you to write fast and reusable React components using Hooks. You'll start by learning to create c ...
Python Notes for Professionals
Python Notes for Professionals

The Python Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. ...
Convolutional Neural Networks with Swift for Tensorflow
Convolutional Neural Networks with Swift for Tensorflow

Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You'll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet. Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. ...
Developing Web Components with TypeScript
Developing Web Components with TypeScript

Create professional and progressive web apps with the native HTML API on the latest technology stack. This book describes the basics of web components and how to create them using plain JavaScript as well as how to make professional applications based on web components using TypeScript. Developing Web Components with TypeScript looks at APIs using examples, techniques, and tricks. You will start with a brief introduction to web components, including slots and templates, handling custom events, and styling components with or without shadow DOM. Then, it introduces TypeScript as part of the tool set. It shows the internal construction of a professional thin library. It also helps you learn how to deal with web components in real-life projects; this includes techniques such as creating a single-page app without framework code. All code samples used here are supported by all modern browsers for you to follow along. ...
Data Science Revealed
Data Science Revealed

Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures behind each model. The book covers parametric methods or linear models that combat under- or over-fitting using techniques such as Lasso and Ridge. It includes complex regression analysis with time series smoothing, decomposition, and forecasting. It takes a fresh look at non-parametric models for binary classification (logistic regression analysis) and ensemble methods such as decision trees, support vector machines, and naive Bayes. It covers the most popular non-parametric method for time-event data (the Kaplan-Meier estimator). It also covers ways of solving classification pro ...
Python and R for the Modern Data Scientist
Python and R for the Modern Data Scientist

Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Rick Scavetta and Boyan Angelov explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist. Learn Python and R from the perspective of your current language; Understand the strengths and weaknesses of each language; Identify use cases where one language is better suited than the other; Understand the modern open source ecosystem av ...
Real-Time ASP.NET Core 3 Apps with SignalR Succinctly
Real-Time ASP.NET Core 3 Apps with SignalR Succinctly

The ASP.NET Core SignalR library is open source and allows developers to simplify adding real-time web functionality to applications. This means that the server-side code can instantly push content to connected clients. In Real-Time ASP.NET Core 3 Apps with SignalR Succinctly, Dirk Strauss will show you how to use it to create a chat application with minimal code and how to modify that same code to create a chart application. Just by changing a few lines of code, you can automatically pull data via an API call and update your page in real time. ...
Python for You and Me
Python for You and Me

This is a simple open book to learn Python programming language, it is for the programmers who are new to Python. Python is an interpreted, high-level and general-purpose programming language. Python consistently ranks as one of the most popular programming languages. Large organizations that use Python include Wikipedia, Google, Yahoo, CERN, NASA, Dropbox, IBM, Mozilla, Facebook, Amazon, Instagram, Spotify, Reddit, ... ...
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