Book Image

Web Development with Django - Second Edition

By : Ben Shaw, Saurabh Badhwar, Chris Guest, Bharath Chandra K S
4.7 (3)
Book Image

Web Development with Django - Second Edition

4.7 (3)
By: Ben Shaw, Saurabh Badhwar, Chris Guest, Bharath Chandra K S

Overview of this book

Do you want to develop reliable and secure applications that stand out from the crowd without spending hours on boilerplate code? You’ve made the right choice trusting the Django framework, and this book will tell you why. Often referred to as a “batteries included” web development framework, Django comes with all the core features needed to build a standalone application. Web Development with Django will take you through all the essential concepts and help you explore its power to build real-world applications using Python. Throughout the book, you’ll get the grips with the major features of Django by building a website called Bookr – a repository for book reviews. This end-to-end case study is split into a series of bitesize projects presented as exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. As you advance, you'll acquire various practical skills, including how to serve static files to add CSS, JavaScript, and images to your application, how to implement forms to accept user input, and how to manage sessions to ensure a reliable user experience. You’ll cover everyday tasks that are part of the development cycle of a real-world web application. By the end of this Django book, you'll have the skills and confidence to creatively develop and deploy your own projects.
Table of Contents (19 chapters)

Working with CSV files inside Python

There are several reasons we may need to export the data in our application. One of the reasons may involve analyzing that data – for example, we may need to understand the demographics of users registered on the application or extract patterns of application usage. We may also need to find out how our application is working for users to design future improvements. Such use cases require data to be in a format that can be easily consumed and analyzed. Here, the CSV file format comes to the rescue.

CSV is a handy file format that can be used to quickly export data from an application in a row-and-column format. CSV files usually have data separated by simple delimiters, which are used to differentiate one column from another, and newlines, which are used to indicate the start of a new record (or row) inside the table.

Python has great support for working with CSV files in its standard library, thanks to the csv module. This support enables...