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
Contributors
Preface
Index

Concurrency versus parallelism


Concurrency and parallelism are often mistaken for the same thing, but there is a distinction between them. Concurrency is the ability to run multiple things at the same time, not necessarily in parallel. Parallelism is the ability to do a number of things at the same time.

Imagine you take your other half to the theater. There are two lines: that is, for VIP and regular tickets. There is only one functionary checking tickets and so, in order to avoid blocking either of the two queues, they check one ticket from the VIP line, then one from the regular line. Over time, both queues are processed. This is an example of concurrency.

Now imagine that another functionary joins, so now we have one functionary per queue. This way, both queues will be processed each by its own functionary. This is an example of parallelism.

Modern laptop processors feature multiple cores (normally two to four). A core is an independent processing unit that belongs to a processor. Having...