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Full-Stack Flask and React

Full-Stack Flask and React

By : Adedeji
4.3 (4)
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Full-Stack Flask and React

Full-Stack Flask and React

4.3 (4)
By: Adedeji

Overview of this book

Developing an interactive, efficient, and fast enterprise web application requires both the right approach and tooling. If you are a web developer looking for a way to tap the power of React’s reusable UI components and the simplicity of Flask for backend development to develop production-ready, scalable web apps in Python, then this book is for you. Starting with an introduction to React, a JavaScript library for building highly interactive and reusable user interfaces, you’ll progress to data modeling for the web using SQLAlchemy and PostgreSQL, and then get to grips with Restful API development. This book will aid you in identifying your app users and managing access to your web application. You’ll also explore modular architectural design for Flask-based web applications and master error-handling techniques. Before you deploy your web app on AWS, this book will show you how to integrate unit testing best practices to ensure code reliability and functionality, making your apps not only efficient and fast but also robust and dependable. By the end of this book, you’ll have acquired deep knowledge of the Flask and React technology stacks, which will help you undertake web application development with confidence.
Table of Contents (21 chapters)
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1
Part 1 – Frontend Development with React
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9
Part 2 – Backend Development with Flask
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19
Index
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20
Other Books You May Enjoy
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Introducing Pytest

Pytest is an open source testing framework for Python that simplifies the process of writing and executing concise and readable tests. Pytest provides a simple and flexible way to write tests and supports a wide range of testing options out of the box, including functional tests, unit tests, and integration tests.

Pytest is widely used among Python developers due to its ease of use, powerful fixture system, and integration with other Python testing tools. Pytest can automatically find and run all the tests in a project with the -test discovery ability. Pytest generates detailed reports that provide developers with valuable insights into the test results.

These reports include information on the number of tests executed, the time taken to run each test, and any failures or errors that occurred. This information can help developers pinpoint and address issues promptly, improving the overall quality of the code base. Pytest has an amazing large community of users...

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