• Title: The Full Stack Python
• Author(s) Matt Makai
• Publisher: FullStackPython.com
• Hardcover/Paperback: N/A
• eBook: HTML and PDF
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
• Share This:  

Book Description

Learn everything you need to know to deploy Python web applications to a server. In each chapter, we'll perform a manual deployment to fully understand what we're doing, then automate each step with Fabric and Ansible.

Throughout the book we'll take an example open source Python web application through a complete deployment on a virtual private server.

You're knee deep in learning the Python programming language. The syntax is starting to make sense. Now you want to take your initial Python knowledge and make something real. This book explains each Python web application stack layer and provides the best web resources for those topics.

• N/A

• Amazon

• Python Programming
• Web Programming
• Web Application Frameworks

• The Full Stack Python (Matt Makai)
• The Mirror Site (1) - PDF
• The Mirror Site (2) - PDF

• Kubernetes for Full-Stack Developers (Jamon Camisso, et al)

  This book helps newcomers and experienced users alike learn about Kubernetes, introduces core Kubernetes concepts and to build on them to a level where running an application on a production cluster is a familiar, repeatable, and automated process.

• Full-Stack React Projects: React, Node, Express, and MongoDB

  This book guides you through preparing the development environment for MERN stack-based web development, to creating a basic skeleton application and extending it to build four different web applications.

• Fullstack Vue: The Complete Guide to Vue.js (Hassan Djirdeh)

  This book aims to be the single most useful resource on learning Vue.js. By the time you're done reading this book, you (and your team) will have everything you need to build reliable, powerful Vue applications.

• The Hitchhiker's Guide to Python: Best Practices for Development

  This guide describes best practices currently used by package and application developers. Unlike other books for this audience, It is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

• O'Reilly® 20 Python Libraries You Aren't Using (But Should)

  This book helps you explore some of the lesser known Python libraries and tools, including third-party modules and several extremely useful tools in the standard library that deserve more attention.

• O'Reilly® Python Web Frameworks (Carlos De La Guardia)

  This book describes Python web frameworks ranging from full-stack options that offer a lot of functionality to micro frameworks that focus on simplicity with fewer features. Learn how to choose a framework that best fits your development needs.

• How to Make Mistakes in Python? (Mike Pirnat)

  Even the best programmers make mistakes. Some have been simple and silly; others were embarrassing and downright costly. The author dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong.

• Architecture Patterns with Python (Harry Percival, et al.)

  Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices, it introduces proven architectural design patterns to help Python developers manage application complexity, and get the most value out of their test suites.

• O'Reilly® Test-Driven Development with Python (Harry Percival)

  By taking you through the development of a real web application from beginning to end, this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You'll learn how to write and run tests BEFORE building your apps.

• Python for Everybody: Exploring Data in Python 3

  This book is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.

• Python Design Patterns (Brandon Rhodes)

  Understand the structural, creational, and behavioral Python design patterns - this book will help you learn the core concepts of design patterns and the way they can be used to resolve software design problems using Python.