Deploying Node.js – The Practical Guide to Becoming a Node.js Cloud Developer
Deploying Node.js is a hands-on book and video course that teaches you how to manage, secure, provision and deploy node.js servers and applications.
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Kubernetes Patterns – Resusable Elements for Designing Cloud-Native Applications
Create cloud-native applications with Kubernetes as a runtime platform, manage container and platform interactions, apply configuration patterns to your Kubernetes-based applications and build container images directly within the cluster.
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Exploring Serverless Applications with Node.js
Going serverless and hosting your web applications in the cloud drastically reduces the time you spend worrying about infrastructure—giving you more time for building features and solving business problems. Serverless apps are easier to scale, quicker to develop, and less complex than traditional server-hosted applications.
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Python for Everybody – Exploring Data Using Python 3
The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.
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The Math of Machine Learning – Berkeley University Textbook
This document is an attempt to provide a summary of the mathematical background needed for an introductory class in machine learning, which at UC Berkeley is known as CS 189/289A.
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