Book Image

Hands-on JavaScript for Python Developers

By : Sonyl Nagale
Book Image

Hands-on JavaScript for Python Developers

By: Sonyl Nagale

Overview of this book

Knowledge of Python is a great foundation for learning other languages. This book will help you advance in your software engineering career by leveraging your Python programming skills to learn JavaScript and apply its unique features not only for frontend web development but also for streamlining work on the backend. Starting with the basics of JavaScript, you’ll cover its syntax, its use in the browser, and its frameworks and libraries. From working with user interactions and ingesting data from APIs through to creating APIs with Node.js, this book will help you get up and running with JavaScript using hands-on exercises, code snippets, and detailed descriptions of JavaScript implementation and benefits. To understand the use of JavaScript in the backend, you’ll explore Node.js and discover how it communicates with databases. As you advance, you’ll get to grips with creating your own RESTful APIs and connecting the frontend and backend for holistic full-stack development knowledge. By the end of this Python JavaScript book, you’ll have the knowledge you need to write full-fledged web applications from start to finish. You’ll have also gained hands-on experience of working through several projects, which will help you advance in your career as a JavaScript developer.
Table of Contents (26 chapters)
1
Section 1 - What is JavaScript? What is it not?
6
Section 2 - Using JavaScript on the Front-End
13
Section 3 - The Back-End: Node.js vs. Python
20
Section 4 - Communicating with Databases

Summary

Python is great. Node is great. Both are great. So why are we having this conversation? While both technologies are strong and mature, each has a role to play in the technology ecosystem. Not all languages are created equal, and not all languages handle problems in the same way.

To summarize, we have learned the following:

  • Node.js is asynchronous and works well with event-based thoughts, such as JavaScript in a browser reacting to page events.
  • Python has established itself as a leader in data analysis and machine learning, as it's able to process large datasets quickly.
  • For web work, the technologies may be interchangeable, but a complex architecture may involve both (and more!).

In the next chapter, we'll begin working with Express, a foundational web server for Node.js. We'll create our own websites and work with them.