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Becoming an Enterprise Django Developer

Becoming an Enterprise Django Developer

By : Dinder, Michael Dinder
4.2 (9)
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Becoming an Enterprise Django Developer

Becoming an Enterprise Django Developer

4.2 (9)
By: Dinder, Michael Dinder

Overview of this book

Django is a powerful framework but choosing the right add-ons that match the scale and scope of your enterprise projects can be tricky. This book will help you explore the multifarious options available for enterprise Django development. Countless organizations are already using Django and more migrating to it, unleashing the power of Python with many different packages and dependencies, including AI technologies. This practical guide will help you understand practices, blueprints, and design decisions to put Django to work the way you want it to. You’ll learn various ways in which data can be rendered onto a page and discover the power of Django for large-scale production applications. Starting with the basics of getting an enterprise project up and running, you'll get to grips with maintaining the project throughout its lifecycle while learning what the Django application lifecycle is. By the end of this book, you'll have learned how to build and deploy a Django project to the web and implement various components into the site.
Table of Contents (15 chapters)
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1
Part 1 – Starting a Project
5
Part 2 – Django Components
10
Part 3 – Advanced Django Components

Writing model classes

Each model in your project represents a table within your database. The fields that are created in those models all relate to columns within that table. Django provides a technique called Object-Relational Mapping (ORM) to map models to the underlying database(s) that are configured in the settings.py file of a project. The ORM technique is a process used to convert data between two systems of incompatible data types. This means that Django takes the headache out of working directly with Structured Query Language (SQL) to perform queries. The Django ORM irons out odd differences between the various database types when interpreting SQL, making it a universal tool for working with all data structures. Now, you and your developers can focus more on developing and less on the headaches involved. Django does not require the use of SQL as a standard writing practice. However, if you want or need to, Django does provide a way to use basic SQL when performing query operations...

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