Using Database models in Python and Django

After creating your Django web application, you can start using Database models in Python and Django. There are the main steps to get your models and application working with a Database.

  1. Create new models for data processing
  2. Adding your models to the admin interface
  3. Playing with your models to create, edit, filter and delete information
  4. Upgrading your models with new attributes and methods
  5. Integrating data in your application.

In this guide, we continue from the previous post Web Applications using Python and Django.

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Web Applications using Python and Django

In this post we will Create Web Applications using Python and Django.

When it comes to web development back-ends, there are many alternatives, from PHP, Java and C# to GoLang and RubyPython also has many options to implement a powerful web application service. One of the most used web frameworks is Django.

Django provides a full featured web development framework, and automated tools for a straightforward development. In this post we create a full featured basic web applications using Python and Django, with the most common features for any web application:

  • Install Python and Django
  • Create the base Django Web application project
  • Create an application inside the Django project.
  • Create the main database and tables for administration
  • Run the web application locally

Then, in the next posts we will cover additional topics:

  • Create new models for data processing
  • Adding your models to the admin interface
  • Front-end web development with templates
  • Publish and deploy your application in Heroku

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Install Python and Web development tools

In this post you can learn how to install and configure Python and web development tools like Django, Tornado, Flask and Pyramid, to implement web applications.

Python is one of the most used programming languages. Above all, there are a lot of reasons to learn and use Python as a multi-purpose development tool:

  • Easy to Learn and Use: It is developer-oriented and high level.
  • Expressive: The syntax is more understandable and readable.
  • Interpreted: Easy to run and debug, suitable for beginners.
  • Cross-platform: Python is portable. You can install and run it in Windows, Linux, Unix and Mac. Also, there are several other ports.
  • Free and Open Source:The source-code is also available.
  • Object-Oriented: Python supports OOP with classes and objects.
  • Multi-paradigm: You can use procedural, object-oriented and functional programming paradigms.
  • Extensible: You can compile and integrate new libraries and tools using languages like C/C++.
  • Large Standard Library: Extensive functionality through a huge collection of modules and libraries through a package/module manager (pip) .
  • GUI Programming: You can implement Graphical user interfaces using Python, for desktop and web applications.
  • Integrated: You can easily integrate  Python with languages like C, C++, JAVA etc.

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