Mostrando resultados por narrador "Adam Newmark" en Todas las categorías

In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.

Start thinking about your development pipeline as a mission-critical application. Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You’ll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Treat your CI/CD pipeline like the real application it is. With the Pipeline as Code approach, you create a collection of scripts that replace the tedious web UI wrapped around most CI/CD systems. 

Take a deep dive into Kubernetes inner components and discover what really powers a Kubernetes cluster. Core Kubernetes is an in-depth guide to Kubernetes’ internal workings written by Kubernetes contributors. It’s packed with experience-driven insights and advanced techniques you won’t find anywhere else. You’ll understand the unique security concerns of container-based applications, minimize costly unused capacity, and get pro tips for maximizing performance. Diagrams, labs, and hands-on examples ensure that the complex ideas are easy to understand and apply.

Effective Software Testing teaches you a systematic approach to software testing that will ensure the quality of your code. It’s full of techniques drawn from proven research in software engineering, and each chapter puts a new technique into practice. Follow the real-world use cases and detailed code samples, and you’ll soon be engineering tests that find bugs in edge cases and parts of code you’d never think of testing! Along the way, you’ll develop an intuition for testing that can save years of learning by trial and error.

Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.

Pastor John MacArthur leads you through Scripture texts about true worship. You will learn that worship is any essential expression of service rendered unto God by a soul that loves and extols Him for who He is. Worship is the nonstop role of believers, not merely part of a church service. So get ready to alter your priorities, aiming higher than entertaining worshipers on Sunday mornings. Worship shows that your ultimate priority must always be to worship the true and living God, with a radically different type of living.

The best way to learn microservices development is to build something! Bootstrapping Microservices with Docker, Kubernetes, and Terraform guides you from zero through to a complete microservices project, including fast prototyping, development, and deployment. You’ll get your feet wet using industry-standard tools as you learn and practice the practical skills you’ll use for every microservices application.

Spring Microservices in Action: Second Edition teaches you to build microservice-based applications using Java and Spring. By dividing large applications into separate self-contained units, microservices are a great step toward reducing complexity and increasing flexibility. This second edition is fully updated for the latest version of Spring, with expanded coverage of API routing with Spring Cloud Gateway, logging with the ELK stack, metrics with Prometheus and Grafana, security with the Hashicorp Vault, and modern deployment practices with Kubernetes and Istio.