Full Stack Development: A Comprehensive Guide Audiobook By Bruno Dossantos cover art

Full Stack Development: A Comprehensive Guide

Best Practices, Tools, and Frameworks for Building Robust Applications

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Full Stack Development: A Comprehensive Guide

By: Bruno Dossantos
Narrated by: Virtual Voice
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About this listen

This book begins by offering an introduction to full-stack development, detailing essential tools and frameworks used by developers. Next, it addresses aspects such as web front-end design, back-end development, accessibility optimization, and SEO (Search Engine Optimization).

The second section of the book explores mobile development, exploring various tools and frameworks used by mobile developers such as React Native, Flutter, and Ionic as well as best practices for developing apps with excellent user experiences.

The book then ventures into the world of cloud computing, outlining various cloud platforms available and the tools used to manage cloud-based apps. Furthermore, machine learning and data science are explored extensively with an in-depth examination of tools and frameworks used by data scientists and machine learning engineers.

The second section of the book explores DevOps, outlining tools and frameworks used to automate software development and deployment processes as well as best practices for designing and implementing DevOps in full stack contexts.

The book concludes with an in-depth examination of site reliability engineering, detailing best practices for creating and maintaining scalable and reliable applications. It provides an in-depth review of tools and techniques used to monitor application performance to ensure they remain available to users at all times.

Overall, this book provides a comprehensive introduction to full-stack development by covering essential tools, frameworks and practices used by full-stack developers. No matter if you are an experienced programmer or starting from scratch, this book provides the knowledge and skills required for building robust applications which meet modern business needs.
Automation & Robotics Engineering Software Programming Data Science Machine Learning Software Development
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