Setting up Django in a Better Way in 5 Minutes and Understanding How It Works

• Puts Debuggerer

  3,150 91 5.5 Ruby

  Ruby library for improved puts debugging, automatically displaying bonus useful information such as source line number and source code.

To start, create a new repository on GitHub and create an empty repository. Copy the git remote origin link and on your terminal, inside your project directory, run bash update-git-remote.sh. This will prompt you to enter your git remote origin link, just paste it here with CTRL + Shift + V or CMD + Shift + V and press Enter. Your project is now linked with your GitHub repository.

• cookiecutter-django

  55 11,543 9.8 Python

  Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.

  

There are very useful packages for bootstrapping your Django projects in minutes such as django-cookiecutter and djangox. If you are a seasoned developer I'd highly recommend using one of these instead of what I'm going to show here. But if you are struggling with the project structure of these packages as a beginner to intermediate Django developer and looking to structure your own Django projects in a better way, I have created a lightweight setup that deals with the basics of setting up a Django project with PostgreSQL as database and TailwindCSS as our styling library.

• WorkOS

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• djangox

  3 1,944 5.9 Python

  Django starter project with 🔋

There are very useful packages for bootstrapping your Django projects in minutes such as django-cookiecutter and djangox. If you are a seasoned developer I'd highly recommend using one of these instead of what I'm going to show here. But if you are struggling with the project structure of these packages as a beginner to intermediate Django developer and looking to structure your own Django projects in a better way, I have created a lightweight setup that deals with the basics of setting up a Django project with PostgreSQL as database and TailwindCSS as our styling library.

• django-tailwind-starter-template

  1 0 4.1 Python

  Starter Template for Django

This Django Starter kit takes care of automated creation of virtual environment and installing of Python packages and setting up the database with bash scripts. In addition to PostgreSQL and TailwindCSS, all the sensitive values are taken care of in a .env file using django-environ package. The virtual environment is maintained using pip-tools.

• django-environ

  12 2,930 6.0 Python

  Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.

This Django Starter kit takes care of automated creation of virtual environment and installing of Python packages and setting up the database with bash scripts. In addition to PostgreSQL and TailwindCSS, all the sensitive values are taken care of in a .env file using django-environ package. The virtual environment is maintained using pip-tools.

• pip-tools

  58 7,472 8.9 Python

  A set of tools to keep your pinned Python dependencies fresh.

  

Instead of venv, we are using pip-tools in this starter kit. pip-tools take things further in dependency management. Check out what pip-tools does in their official GitHub repo. In short, it helps your project find the best match for the dependent packages. For example, you might need two packages A and B in your project that requires same package C under the hood. But A requires any version of C from 1.0.1 to 1.0.10 and B requires any version of C from 1.0.7 to 1.0.15. Pip tools will automatically compile the version of 'C' that suits for both of your packages.

• django-tailwind

  11 1,354 7.6 Python

  Django + Tailwind CSS = 💚

Most of our installation is done but we haven't configured Tailwind yet. django-tailwind is already installed with the required Python packages but we'll need to compile this to fully setup Tailwind and make it ready to work in our local development environment.

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• django-debug-toolbar

  19 7,903 8.4 Python

  A configurable set of panels that display various debug information about the current request/response.

  

The reason behind this splitting is that we can safely use packages and related settings only where we need. For example, this starter kit has the package django-debug-toolbar. This is only intended for your development environment and not for your production. This can be very risky if used in production because if your Django project encounters errors, all the debug info will be shown to the user which is a severe security risk. Similarly, for tracking errors in production, we're using Sentry which is not needed in our local environment since we already have django-debug-toolbar. For keeping these settings file separate so that they don't conflict with each other, the settings file is split for serving different environments.

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