Book Image

Learn Web Development with Python

By : Fabrizio Romano, Gaston C. Hillar, Arun Ravindran
Book Image

Learn Web Development with Python

By: Fabrizio Romano, Gaston C. Hillar, Arun Ravindran

Overview of this book

If you want to develop complete Python web apps with Django, this Learning Path is for you. It will walk you through Python programming techniques and guide you in implementing them when creating 4 professional Django projects, teaching you how to solve common problems and develop RESTful web services with Django and Python. You will learn how to build a blog application, a social image bookmarking website, an online shop, and an e-learning platform. Learn Web Development with Python will get you started with Python programming techniques, show you how to enhance your applications with AJAX, create RESTful APIs, and set up a production environment for your Django projects. Last but not least, you’ll learn the best practices for creating real-world applications. By the end of this Learning Path, you will have a full understanding of how Django works and how to use it to build web applications from scratch. This Learning Path includes content from the following Packt products: • Learn Python Programming by Fabrizio Romano • Django RESTful Web Services by Gastón C. Hillar • Django Design Patterns and Best Practices by Arun Ravindran
Table of Contents (33 chapters)
Title Page
About Packt

Threads and processes – an overview

A thread can be defined as a sequence of instructions that can be run by a scheduler, which is that part of the operating system that decides which chunk of work will receive the necessary resources to be carried out. Typically, a thread lives within a process. A process can be defined as an instance of a computer program that is being executed.

In previous chapters, we have run our own modules and scripts with commands similar to $ python What happens when a command like that is run, is that a Python process is created. Within it, a main thread of execution is spawned. The instructions in the script are what will be run within that thread.

This is just one way of working though, and Python can actually use more than one thread within the same process, and can even spawn multiple processes. Unsurprisingly, these branches of computer science are called multithreading and multiprocessing.

In order to understand the difference, let's take a moment...