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Hands-on JavaScript for Python Developers

You're reading from   Hands-on JavaScript for Python Developers Leverage your Python knowledge to quickly learn JavaScript and advance your web development career

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781838648121
Length 410 pages
Edition 1st Edition
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Author (1):
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Sonyl Nagale Sonyl Nagale
Author Profile Icon Sonyl Nagale
Sonyl Nagale
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Table of Contents (26) Chapters Close

Preface 1. Section 1 - What is JavaScript? What is it not?
2. The Entrance of JavaScript into Mainstream Programming FREE CHAPTER 3. Can We Use JavaScript Server-Side? Sure! 4. Nitty-Gritty Grammar 5. Data and Your Friend, JSON 6. Section 2 - Using JavaScript on the Front-End
7. Hello World! and Beyond: Your First Application 8. The Document Object Model (DOM) 9. Events, Event-Driven Design, and APIs 10. Working with Frameworks and Libraries 11. Deciphering Error Messages and Performance Leaks 12. JavaScript, Ruler of the Frontend 13. Section 3 - The Back-End: Node.js vs. Python
14. What Is Node.js? 15. Node.js versus Python 16. Using Express 17. React with Django 18. Combining Node.js with the Frontend 19. Enter Webpack 20. Section 4 - Communicating with Databases
21. Security and Keys 22. Node.js and MongoDB 23. Putting It All Together 24. Assessments 25. Other Books You May Enjoy

Threading and asynchronicity

As with traditional web architectures, it's important to understand the why of using Node.js on the backend.

We've taken a look at the how of running Node.js, so now, let's take a look at how Node's client-server architecture differs from the traditional paradigm.

Traditional client-server architecture

To understand how Node.js differs from traditional architectures, let's look at the following request diagram:

Figure 2.4 - Traditional client-server diagram

In a traditional setup, each request (or connection) to the server spawns a new thread in memory on the server, taking up system random-access memory (RAM) until the number of possible threads is reached. After that, some requests must wait until more memory is available. If you're not familiar with the concept of threads, they're basically a small sequence of commands to run on a computer. What this multithreaded paradigm implies is that for each new request received...

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